16.7.2.7.16 Traffic, Routing, Evaluation

Chapter Contents (Back)
Traffic. Routing. Path Planning. Time:
See also Travel Time, Evaluation.
See also On-Demand Ride Systems, Car Sharing, Taxi, Analysis.
See also Eco-Driving.
See also Routing for Delivery, Multiple Delivery Vehicles, Logistics.
See also GIS for Transportation, Roads.
See also Evacuation Management, Disaster Management.

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Lee, E.[Eun_Su], Oduor, P.G.[Peter G.],
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Karlsson, I.C.M., Skoglund, T., Wallgren, P., Alonso, M., Guidotti, L., Martin, O., May, A.,
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Li, L., Su, X., Zhang, Y., Lin, Y., Li, Z.,
Trend Modeling for Traffic Time Series Analysis: An Integrated Study,
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Wedde, H.F., Senge, S.,
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Gan, H.C.[Hong-Cheng],
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Cao, Z., Guo, H., Zhang, J., Niyato, D., Fastenrath, U.,
Finding the Shortest Path in Stochastic Vehicle Routing: A Cardinality Minimization Approach,
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Amar, H.M., Drawil, N.M., Basir, O.A.,
Traveler Centric Trip Planning: A Behavioral-Driven System,
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IEEE DOI 1606
Complexity theory BibRef

Tian, G., Zhou, M., Li, P., Zhang, C., Jia, H.,
Multiobjective Optimization Models for Locating Vehicle Inspection Stations Subject to Stochastic Demand, Varying Velocity and Regional Constraints,
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IEEE DOI 1608
automobile industry BibRef

Li, X., Li, M., Gong, Y.J., Zhang, X.L., Yin, J.,
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Chang, T.H.[Tang-Hsien], Tseng, J.S.[Jen-Sung], Ye, Y.H.[Yuan-Hsiang],
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He, K., Xu, Z., Wang, P., Deng, L., Tu, L.,
Congestion Avoidance Routing Based on Large-Scale Social Signals,
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Hajibabai, L., Ouyang, Y.[Yi],
Dynamic Snow Plow Fleet Management Under Uncertain Demand and Service Disruption,
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IEEE DOI 1710
Measurement, Observers, Planning, Roads, Suspensions, Vehicles, Comfort metrics, input observer, jump-diffusion process (JDP), road anomaly detection, road profile estimation, route, planning BibRef

Huang, W., Wang, J.,
The Shortest Path Problem on a Time-Dependent Network With Mixed Uncertainty of Randomness and Fuzziness,
ITS(17), No. 11, November 2016, pp. 3194-3204.
IEEE DOI 1609
Extraterrestrial measurements BibRef

Li, P.H.[Pui Hang], Yiu, M.L.[Man Lung], Mouratidis, K.[Kyriakos],
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ITS(18), No. 1, January 2017, pp. 92-102.
IEEE DOI 1701
Bayes methods BibRef

Renaudin, V., Dommes, A., Guilbot, M.,
Engineering, Human, and Legal Challenges of Navigation Systems for Personal Mobility,
ITS(18), No. 1, January 2017, pp. 177-191.
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Algorithm design and analysis BibRef

Yeh, A.G.O., Zhong, T., Yue, Y.,
Angle Difference Method for Vehicle Navigation in Multilevel Road Networks With a Three-Dimensional Transport GIS Database,
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Databases BibRef

Payyanadan, R.P., Sanchez, F.A., Lee, J.D.,
Assessing Route Choice to Mitigate Older Driver Risk,
ITS(18), No. 3, March 2017, pp. 527-536.
IEEE DOI 1703
Computer crashes BibRef

Payyanadan, R.P., Sanchez, F.A., Lee, J.D.,
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HMS(49), No. 1, February 2019, pp. 10-19.
IEEE DOI 1901
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Wang, Z.Y.[Zhi-Yong], Steenbruggen, J.[John], Zlatanova, S.[Sisi],
Integration of Traffic Information into the Path Planning among Moving Obstacles,
IJGI(6), No. 3, 2017, pp. xx-yy.
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Lu, E.H.C., Chen, H.S., Tseng, V.S.,
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ITS(18), No. 4, April 2017, pp. 869-879.
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Kachroo, P., Gupta, S., Agarwal, S., Ozbay, K.,
Optimal Control for Congestion Pricing: Theory, Simulation, and Evaluation,
ITS(18), No. 5, May 2017, pp. 1234-1240.
IEEE DOI 1609
Mathematical model, Optimal control, Pricing, Roads, Vehicle dynamics, Vehicles, Optimal control, chattering, congestion pricing, logit, saturation, function BibRef

Jiang, B., Fei, Y.,
Vehicle Speed Prediction by Two-Level Data Driven Models in Vehicular Networks,
ITS(18), No. 7, July 2017, pp. 1793-1801.
IEEE DOI 1706
Artificial neural networks, Data models, Hidden Markov models, Predictive models, Roads, Stochastic processes, Vehicles, Vehicle speed prediction, hidden Markov model, neural network, vehicular, network BibRef

Zhang, Y., Ioannou, P.A.,
Combined Variable Speed Limit and Lane Change Control for Highway Traffic,
ITS(18), No. 7, July 2017, pp. 1812-1823.
IEEE DOI 1706
Analytical models, Convergence, Microscopy, Road transportation, Safety, Vehicles, VSL, feedback linearization, lane, change BibRef

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Orthogonal Design-Based NSGA-III for the Optimal Lockage Co-Scheduling Problem,
ITS(18), No. 8, August 2017, pp. 2085-2095.
IEEE DOI 1708
Genetic algorithms, Marine vehicles, Navigation, Optimization, Rivers, Sorting, Lockage co-scheduling, Three Gorges Dam, orthogonal design, time-area, series, assignment BibRef

Wang, Z., Zlatanova, S., van Oosterom, P.,
Path Planning for First Responders in the Presence of Moving Obstacles With Uncertain Boundaries,
ITS(18), No. 8, August 2017, pp. 2163-2173.
IEEE DOI 1708
Data models, Hazards, Path planning, Predictive models, Roads, Routing, Uncertainty, Data model, algorithm, route planning, uncertain moving obstacles BibRef

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A Multi-Agent Advanced Traveler Information System for Optimal Trip Planning in a Co-Modal Framework,
ITS(18), No. 9, September 2017, pp. 2397-2412.
IEEE DOI 1709
public transport, traffic information systems, trip planning BibRef

Jagadeesh, G.R., Srikanthan, T.,
Online Map-Matching of Noisy and Sparse Location Data With Hidden Markov and Route Choice Models,
ITS(18), No. 9, September 2017, pp. 2423-2434.
IEEE DOI 1709
crowdsourcing, mobile computing, online map-matching, route choice models, Global Positioning System, Vehicles, Map-matching BibRef

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IEEE DOI 1710
Analytical models, Cost function, Jacobian matrices, Numerical stability, Stability criteria, Transportation, Dynamic rerouting choice behaviour, day-to-day traffic assignment models, discrete-time dynamics, dynamic pattern, stability, analysis BibRef

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Systematic Relation of Estimated Travel Speed and Actual Travel Speed,
ITS(18), No. 10, October 2017, pp. 2780-2789.
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Li, M.[Ming], Yu, L.[Lei], Song, G.H.[Guo-Hua],
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Application of Mobility Management: A Web structure for the optimisation of the mobility of working staff of big companies,
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Bicocchi, N., Mamei, M., Sassi, A., Zambonelli, F.,
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IEEE DOI 1712
Clustering algorithms, Global Positioning System, Mobile communication, Mobile computing, Recommender systems, road transportation BibRef

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Lu, C.C., Yan, S., Ko, H.C., Chen, H.J.,
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decision making, optimisation, road traffic, road vehicles, Nevada road network, WIM location problem, weigh-in-motion BibRef

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Approximation methods, Correlation, Robustness, Shortest path problem, Uncertainty, Upper bound, path reliability BibRef

Meng, X.H.[Xiang-Hu], Li, J.[Jun], Dai, X.Z.[Xian-Zhong], Dou, J.P.[Jian-Ping],
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Urban areas, Traveling salesman problems, Image color analysis, Color, Intelligent transportation systems, Search problems, intelligent optimization BibRef

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Fusco, G.[Gaetano], Bracci, A.[Agnese], Caligiuri, T.[Tommaso], Colombaroni, C.[Chiara], Isaenko, N.[Natalia],
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Marinelli, M.[Mario], Caggiani, L.[Leonardo], Ottomanelli, M.[Michele], Dell'Orco, M.[Mauro],
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Luo, R., van den Boom, T.J.J., de Schutter, B.,
Multi-Agent Dynamic Routing of a Fleet of Cybercars,
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Cybernetics, Energy consumption, Mathematical model, Roads, Routing, Vehicle dynamics, Cybercar, intelligent transportation system, parameterized control BibRef

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Analytical models, Containers, Logistics, Object oriented modeling, Stochastic processes, Transportation, Freight transportation, optimization BibRef

Xu, G., Wang, J., Huang, G.Q., Chen, C.H.,
Data-Driven Resilient Fleet Management for Cloud Asset-enabled Urban Flood Control,
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Al-Mayouf, Y.R.B., Abdullah, N.F., Mahdi, O.A., Khan, S., Ismail, M., Guizani, M., Ahmed, S.H.,
Real-Time Intersection-Based Segment Aware Routing Algorithm for Urban Vehicular Networks,
ITS(19), No. 7, July 2018, pp. 2125-2141.
IEEE DOI 1807
Delays, Real-time systems, Routing, Routing protocols, Vehicular ad hoc networks, Communication overhead, VANETs, segment aware BibRef

Mannini, L.[Livia], Cipriani, E.[Ernesto], Crisalli, U.[Umberto], Gemma, A.[Andrea],
FCD data for on-street parking search time estimation,
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Rehman, A.[Abdul], Rathore, M.M.[Muhammad Mazhar], Paul, A.[Anand], Saeed, F.[Faisal], Ahmad, R.W.[Raja Wasim],
Vehicular traffic optimisation and even distribution using ant colony in smart city environment,
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Scholz, J.[Johannes], Church, R.L.[Richard L.],
Shortest Paths from a Group Perspective: A Note on Selfish Routing Games with Cognitive Agents,
IJGI(7), No. 9, 2018, pp. xx-yy.
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Peng-peng, J.[Jiao], Yi-gang, L.[Li], Dong-yue, L.[Li],
Dynamic traffic diversion model based on dynamic traffic demand estimation and prediction,
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Fan, L.Y.[Li-Yue], Bonomi, L.[Luca], Shahabi, C.[Cyrus], Xiong, L.[Li],
Optimal group route query: Finding itinerary for group of users in spatial databases,
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Luan, W., Liu, G., Jiang, C., Zhou, M.,
MPTR: A Maximal-Marginal-Relevance-Based Personalized Trip Recommendation Method,
ITS(19), No. 11, November 2018, pp. 3461-3474.
IEEE DOI 1812
ant colony optimisation, location based services, mobile computing, recommender systems, ant colony optimization BibRef

Huang, B.Y.[Bing-Yuan], Fioreze, T.[Tiago], Thomas, T.[Tom], van Berkum, E.[Eric],
Multinomial logit analysis of the effects of five different app-based incentives to encourage cycling to work,
IET-ITS(12), No. 10, December 2018, pp. 1421-1432.
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Song, C.B.[Cheng-Bo], Yan, X.F.[Xue-Feng], Stephen, N.[Nkyi], Khan, A.A.[Arif Ali],
Hidden Markov model and driver path preference for floating car trajectory map matching,
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Antunes, F., Ribeiro, B., Pereira, F.C., Gomes, R.,
Efficient Transport Simulation With Restricted Batch-Mode Active Learning,
ITS(19), No. 11, November 2018, pp. 3642-3651.
IEEE DOI 1812
digital simulation, Gaussian processes, iterative methods, learning (artificial intelligence), Gaussian processes BibRef

Zheng, F., Man, X., Chu, F., Liu, M., Chu, C.,
Two Yard Crane Scheduling With Dynamic Processing Time and Interference,
ITS(19), No. 12, December 2018, pp. 3775-3784.
IEEE DOI 1812
Containers, Cranes, Dynamic scheduling, Interference, Genetic algorithms, Maritime logistics, yard crane scheduling, heuristic BibRef

Dai, P., Liu, K., Feng, L., Zhang, H., Lee, V.C.S., Son, S.H., Wu, X.,
Temporal Information Services in Large-Scale Vehicular Networks Through Evolutionary Multi-Objective Optimization,
ITS(20), No. 1, January 2019, pp. 218-231.
IEEE DOI 1901
Information services, Vehicle dynamics, Data dissemination, Bandwidth, Data integrity, Adaptation models, Routing, evolutionary multi-objective optimization BibRef

Taguchi, S., Koide, S., Yoshimura, T.,
Online Map Matching With Route Prediction,
ITS(20), No. 1, January 2019, pp. 338-347.
IEEE DOI 1901
Hidden Markov models, Global Positioning System, Predictive models, Roads, Trajectory, Probabilistic logic, multiple hypothesis technique BibRef

Balado, J.[Jesús], Díaz-Vilariño, L.[Lucía], Arias, P.[Pedro], Lorenzo, H.[Henrique],
Point clouds for direct pedestrian pathfinding in urban environments,
PandRS(148), 2019, pp. 184-196.
Elsevier DOI 1901
Spatial analysis, Physical accessibility, Pedestrian path planning, Navigable space, Graph modelling, Mobile laser scanning BibRef

Balado, J.[Jesús], Díaz-Vilariño, L.[Lucía], Arias, P.[Pedro], Frías, E.,
Point Clouds to Direct Indoor Pedestrian Pathfinding,
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Minal, S., Sekhar, C.R.[Ch Ravi], Madhu, E.[Errampilli],
Development of neuro-fuzzy-based multimodal mode choice model for commuter in Delhi,
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Li, Y.[Yang], Jiao, X.H.[Xiao-Hong],
Real-time energy management for commute HEVs using modified A-ECMS with traffic information recognition,
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Li, D.W.[Da-Wei], Miwa, T.[Tomio], Xu, C.C.[Cheng-Cheng], Li, Z.B.[Zhi-Bin],
Non-linear fixed and multi-level random effects of origin-destination specific attributes on route choice behaviour,
IET-ITS(13), No. 4, April 2019, pp. 654-660.
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Held, M., Flärdh, O., Mårtensson, J.,
Optimal Speed Control of a Heavy-Duty Vehicle in Urban Driving,
ITS(20), No. 4, April 2019, pp. 1562-1573.
IEEE DOI 1904
Energy consumption, Force, Fuels, Optimal control, IEEE Sections, Kinetic energy, Trajectory, Fuel optimal control, intelligent vehicles BibRef

Luo, Q., Li, C., Luan, T.H., Wen, Y.,
Optimal Utility of Vehicles in LTE-V Scenario: An Immune Clone-Based Spectrum Allocation Approach,
ITS(20), No. 5, May 2019, pp. 1942-1953.
IEEE DOI 1905
Resource management, Optimization, Automobiles, Interference, Bandwidth, Convergence, Cloud computing, Vehicular communication, immune clonal BibRef

Zheng, J.P.[Ji-Ping], Jiang, S.Q.[Shun-Qing], Chen, J.L.[Jia-Liang], Yu, W.[Wei],
Efficient processing of distance-time kth-order skyline queries in bicriteria networks,
IET-ITS(13), No. 5, May 2019, pp. 796-802.
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Yan, J.J.[Jin-Jin], Diakité, A.A.[Abdoulaye A.], Zlatanova, S.[Sisi], Aleksandrov, M.[Mitko],
Top-Bounded Spaces Formed by the Built Environment for Navigation Systems,
IJGI(8), No. 5, 2019, pp. xx-yy.
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Walking path where you are under shelter (passages, etc.) BibRef

Irani, B.[Behnam], Wang, J.C.[Jing-Chuan], Chen, W.D.[Wei-Dong],
A Localizability Constraint-Based Path Planning Method for Autonomous Vehicles,
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IEEE DOI 1907
Path planning, Uncertainty, Autonomous vehicles, Covariance matrices, Planning, Navigation, Estimation, navigation BibRef

Liu, M., Liang, B., Zheng, F., Chu, F.,
Stochastic Airline Fleet Assignment With Risk Aversion,
ITS(20), No. 8, August 2019, pp. 3081-3090.
IEEE DOI 1908
Aircraft, Stochastic processes, Programming, Atmospheric modeling, Legged locomotion, Uncertainty, Schedules, sample average approximation BibRef

Huang, H., Bucher, D., Kissling, J., Weibel, R., Raubal, M.,
Multimodal Route Planning With Public Transport and Carpooling,
ITS(20), No. 9, September 2019, pp. 3513-3525.
IEEE DOI 1909
Planning, Automobiles, Routing, Merging, Time-frequency analysis, Urban areas, Carpooling, ridesharing, multimodal route planning, network linking BibRef

Yu, J.J.Q., Yu, W., Gu, J.,
Online Vehicle Routing With Neural Combinatorial Optimization and Deep Reinforcement Learning,
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IEEE DOI 1910
Logistics, Transportation, Green products, Routing, Optimization, Vehicle routing, Computational modeling, Online vehicle routing, intelligent transportation BibRef

Han, Y., Hegyi, A., Yuan, Y., Roncoli, C., Hoogendoorn, S.,
An Extended Linear Quadratic Model Predictive Control Approach for Multi-Destination Urban Traffic Networks,
ITS(20), No. 10, October 2019, pp. 3647-3660.
IEEE DOI 1910
Optimization, Computational modeling, Merging, Predictive control, Predictive models, Roads, Routing, Model predictive control, spillback BibRef

Kim, M.[Mingu], Hong, S.[Seungwoo], Suh, I.H.[Il Hong],
Personalized Trip Planning Considering User Preferences and Environmental Variables with Uncertainty,
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Kolovský, F.[František], Ježek, J.[Jan], Kolingerová, I.[Ivana],
The e-Approximation of the Time-Dependent Shortest Path Problem Solution for All Departure Times,
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Kong, Y.[You], Le Vine, S.[Scott], Liu, X.B.[Xiao-Bo],
Optimal storage and loading zones within surface parking facilities for privately owned automated vehicles,
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Rahimi-Farahani, H.[Hossein], Rassafi, A.A.[Amir Abbas], Mirbaha, B.[Babak],
Forced-node route guidance system: Incorporating both user equilibrium and system optimal benefits,
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van Essen, M., Eikenbroek, O., Thomas, T., van Berkum, E.,
Travelers' Compliance With Social Routing Advice: Impacts on Road Network Performance and Equity,
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IEEE DOI 2003
Routing, Roads, Graphical models, Distribution functions, Optimization, Vehicles, Social routing advice, empirical field experiment BibRef

Wang, Z., Zlatanova, S.,
Safe Route Determination for First Responders in the Presence of Moving Obstacles,
ITS(21), No. 3, March 2020, pp. 1044-1053.
IEEE DOI 2003
Roads, Hazards, Routing, Heuristic algorithms, Data models, Navigation, Geometry, Safe routing, algorithm, moving obstacles BibRef

De, A., Wang, J., Tiwari, M.K.,
Hybridizing Basic Variable Neighborhood Search With Particle Swarm Optimization for Solving Sustainable Ship Routing and Bunker Management Problem,
ITS(21), No. 3, March 2020, pp. 986-997.
IEEE DOI 2003
Fuels, Marine vehicles, Routing, Carbon dioxide, Transportation, Mathematical model, Ship routing, variable neighborhood search algorithm BibRef

Zhou, X.[Xiao], Su, M.Z.[Ming-Zhan], Liu, Z.[Zhong], Hu, Y.[Yu], Sun, B.[Bin], Feng, G.H.[Guang-Hui],
Smart Tour Route Planning Algorithm Based on Naïve Bayes Interest Data Mining Machine Learning,
IJGI(9), No. 2, 2020, pp. xx-yy.
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Zhang, Z., Qin, H., Li, Y.,
Multi-Objective Optimization for the Vehicle Routing Problem With Outsourcing and Profit Balancing,
ITS(21), No. 5, May 2020, pp. 1987-2001.
IEEE DOI 2005
Companies, Outsourcing, Optimization, Vehicle routing, Transportation, Logistics, Routing, Multi-objective optimization, profit balancing BibRef

Li, Y.F.[Yu-Fang], Zhang, J.[Jun], Ren, C.[Chen], Lu, X.D.[Xiao-Ding],
Prediction of vehicle energy consumption on a planned route based on speed features forecasting,
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Krishnakumari, P., Cats, O., van Lint, H.,
Heuristic Coarsening for Generating Multiscale Transport Networks,
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IEEE DOI 2006
Transportation, Routing, Analytical models, Tools, Open source software, Data models, Aggregates, Multiscale graph, transport networks BibRef

Kim, J., Ahn, C.,
Real-Time Speed Trajectory Planning for Minimum Fuel Consumption of a Ground Vehicle,
ITS(21), No. 6, June 2020, pp. 2324-2338.
IEEE DOI 2006
Engines, Fuels, Gears, Trajectory, Real-time systems, Torque, Mechanical power transmission, Minimum fuel consumption, speed trajectory planning BibRef

Le Rhun, A., Bonnans, F., de Nunzio, G., Leroy, T., Martinon, P.,
A Stochastic Data-Based Traffic Model Applied to Vehicles Energy Consumption Estimation,
ITS(21), No. 7, July 2020, pp. 3025-3034.
IEEE DOI 2007
Energy consumption, Roads, Data models, Acceleration, Computational modeling, Estimation, Clustering algorithms, energy consumption BibRef

Andrienko, N., Andrienko, G., Patterson, F., Stange, H.,
Visual Analysis of Place Connectedness by Public Transport,
ITS(21), No. 8, August 2020, pp. 3196-3208.
IEEE DOI 2008
Task analysis, Transportation, Visual analytics, Tools, Urban areas, Trajectory, Visual analytics, movement data, mobility, public transport BibRef

Chen, L., Huang, Y., Zheng, H., Hopman, H., Negenborn, R.,
Cooperative Multi-Vessel Systems in Urban Waterway Networks,
ITS(21), No. 8, August 2020, pp. 3294-3307.
IEEE DOI 2008
Trajectory tracking, Collision avoidance, Roads, Safety, Urban areas, Trajectory, Navigation, Cooperative multi-vessel system, cooperative intelligent traffic system BibRef

Jiang, G., Lam, S., Ning, F., He, P., Xie, J.,
Peak-Hour Vehicle Routing for First-Mile Transportation: Problem Formulation and Algorithms,
ITS(21), No. 8, August 2020, pp. 3308-3321.
IEEE DOI 2008
Vehicle routing, Legged locomotion, Urban areas, Employment, Optimization, Roads, First-mile problem, peak-hour VRP, trip-by-trip routing scheme BibRef

Gao, Q., Lin, S., Zhu, G.,
Joint Vehicular and Static Users Multiplexing Transmission With Hierarchical Modulation for Throughput Maximization in Vehicular Networks,
ITS(21), No. 9, September 2020, pp. 3835-3847.
IEEE DOI 2008
Throughput, Resource management, Fading channels, Multiplexing, Quality of service, Modulation, Vehicle dynamics, robust BibRef

de Souza, A.M., Braun, T., Botega, L.C., Villas, L.A., Loureiro, A.A.F.,
Safe and Sound: Driver Safety-Aware Vehicle Re-Routing Based on Spatiotemporal Information,
ITS(21), No. 9, September 2020, pp. 3973-3989.
IEEE DOI 2008
Safety, Vehicles, Spatiotemporal phenomena, Prediction algorithms, Vehicle dynamics, Heuristic algorithms, Roads, Vehicle routing, advanced driver assistance BibRef

Zhang, T.[Tao], Yang, Y.[Yang], Cheng, G.[Gang], Jin, M.J.[Min-Jie], Ren, G.[Gang],
Design and optimisation of multimodal traffic strategy for low-mobility individuals,
IET-ITS(14), No. 10, October 2020, pp. 1240-1248.
DOI Link 2009
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Xu, S.D.[Su-Dong], Ma, M.D.[Meng-Di], Yin, K.[Kai], Tang, S.[Shuang],
Risk evaluation system of navigation security based on coupled wind and wave model: a case of study of Qiongzhou strait,
IET-ITS(14), No. 10, October 2020, pp. 1311-1318.
DOI Link 2009
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Huang, T., Gong, Y.J., Zhang, Y.H., Zhan, Z.H., Zhang, J.,
Automatic Planning of Multiple Itineraries: A Niching Genetic Evolution Approach,
ITS(21), No. 10, October 2020, pp. 4225-4240.
IEEE DOI 2010
Planning, IP networks, Genetic algorithms, Optimization, Urban areas, Genetics, Sociology, D-day itinerary, genetic algorithm, niching strategy BibRef

Rezaei, M., Noori, H., Razlighi, M.M.[M. Mohammadkhani], Nickray, M.,
ReFOCUS+: Multi-Layers Real-Time Intelligent Route Guidance System With Congestion Detection and Avoidance,
ITS(22), No. 1, January 2021, pp. 50-63.
IEEE DOI 2012
Roads, Vehicle dynamics, Real-time systems, Fuels, Delays, Area congestion, fog computing BibRef

Biswas, S., Anavatti, S.G., Garratt, M.A.,
Multiobjective Mission Route Planning Problem: A Neural Network-Based Forecasting Model for Mission Planning,
ITS(22), No. 1, January 2021, pp. 430-442.
IEEE DOI 2012
Task analysis, Planning, Robots, Vehicle dynamics, Optimization, Predictive models, Forecasting, Dynamic environments, task assignment BibRef

Shao, Y., Sun, Z.,
Eco-Approach With Traffic Prediction and Experimental Validation for Connected and Autonomous Vehicles,
ITS(22), No. 3, March 2021, pp. 1562-1572.
IEEE DOI 2103
Optimization, Fuels, Mechanical power transmission, Engines, Mathematical model, Optimal control, Acceleration, intelligent transportation system BibRef

Ma, C.X.[Chang-Xi], Liu, P.F.[Peng-Fei], Xu, X.C.[Xue-Cai],
Vehicles robust scheduling of hazardous materials based on hybrid particle swarm optimisation and genetic algorithm,
IET-ITS(14), No. 14, 27 December 2020, pp. 1955-1966.
DOI Link 2103
BibRef

Bhargava, K.[Kushagra], Choy, K.W.[Kum Wah], Jennings, P.A.[Paul A.], Higgins, M.D.[Matthew D.],
Novel mathematical model to determine geo-referenced locations for C-ITS communications to generate dynamic vehicular gaps,
IET-ITS(14), No. 14, 27 December 2020, pp. 2010-2020.
DOI Link 2103
To maintain spacing for hazardous materials. BibRef

Abbar, S.[Sofiane], Stanojevic, R.[Rade], Mustafa, S.[Shadab], Mokbel, M.[Mohamed],
Traffic Routing in the Ever-Changing City of Doha,
CACM(64), No. 4, April 2021, pp. 67-68.
DOI Link 2104
Addressing traffic routing problems with sparse data. BibRef

Schweizer, J.[Joerg], Poliziani, C.[Cristian], Rupi, F.[Federico], Morgano, D.[Davide], Magi, M.[Mattia],
Building a Large-Scale Micro-Simulation Transport Scenario Using Big Data,
IJGI(10), No. 3, 2021, pp. xx-yy.
DOI Link 2104
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Xia, N.[Nan], Cheng, L.[Liang], Li, M.C.[Man-Chun],
Transnational Accessibility between Residential Areas Based on Multimodal Transport System,
IJGI(10), No. 3, 2021, pp. xx-yy.
DOI Link 2104
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Li, D., Yang, M., Jin, C.J., Ren, G., Liu, X., Liu, H.,
Multi-Modal Combined Route Choice Modeling in the MaaS Age Considering Generalized Path Overlapping Problem,
ITS(22), No. 4, April 2021, pp. 2430-2441.
IEEE DOI 2104
Computational modeling, Correlation, Context modeling, Transportation, Numerical models, Analytical models, stochastic user equilibrium BibRef

Tang, C.H.[Chuan-Hui], Hu, W.B.[Wen-Bin], Hu, S.[Simon], Stettler, M.E.J.[Marc E. J.],
Urban Traffic Route Guidance Method With High Adaptive Learning Ability Under Diverse Traffic Scenarios,
ITS(22), No. 5, May 2021, pp. 2956-2968.
IEEE DOI 2105
Roads, Heuristic algorithms, Indexes, Vehicle dynamics, Prediction algorithms, Adaptive systems, Urban areas, A* algorithm BibRef

Arnold, F.[Florian], Santana, Í.[Ítalo], Sörensen, K.[Kenneth], Vidal, T.[Thibaut],
PILS: Exploring high-order neighborhoods by pattern mining and injection,
PR(116), 2021, pp. 107957.
Elsevier DOI 2106
Local search, Pattern mining, Combinatorial optimization, Vehicle routing problem BibRef

Feng, L.[Liang], Zhou, L.[Lei], Gupta, A.[Abhishek], Zhong, J.[Jinghui], Zhu, Z.[Zexuan], Tan, K.C.[Kay-Chen], Qin, K.[Kai],
Solving Generalized Vehicle Routing Problem With Occasional Drivers via Evolutionary Multitasking,
Cyber(51), No. 6, June 2021, pp. 3171-3184.
IEEE DOI 2106
Vehicles, Routing, Vehicle routing, Task analysis, Optimization, Multitasking, Evolutionary multitasking, vehicle routing problem (VRP) BibRef

Manogaran, G.[Gunasekaran], Alazab, M.[Mamoun],
Ant-Inspired Recurrent Deep Learning Model for Improving the Service Flow of Intelligent Transportation Systems,
ITS(22), No. 6, June 2021, pp. 3654-3663.
IEEE DOI 2106
Sensors, Navigation, Mathematical model, Reliability, Vehicle dynamics, Connected vehicles, Training, time-dependent dissemination BibRef

Lin, K.[Kai], Li, C.[Chensi], Li, Y.H.[Yi-Hui], Savaglio, C.[Claudio], Fortino, G.[Giancarlo],
Distributed Learning for Vehicle Routing Decision in Software Defined Internet of Vehicles,
ITS(22), No. 6, June 2021, pp. 3730-3741.
IEEE DOI 2106
Routing, Vehicle routing, Machine learning, Real-time systems, Edge computing, Task analysis, software defined Internet of Vehicles BibRef

Wang, X.Y.[Xin-Yu], Shao, S.[Shuai], Tang, J.F.[Jia-Fu],
Iterative Local-Search Heuristic for Weighted Vehicle Routing Problem,
ITS(22), No. 6, June 2021, pp. 3444-3454.
IEEE DOI 2106
Linear programming, Routing, Transportation, Vehicle routing, Clustering algorithms, Mathematical model, iterative local-search BibRef

Lin, H.Z.[Hong-Zhi],
Multi-objective optimization of cordon sanitaire with vehicle waiting time constraint,
IET-ITS(15), No. 7, 2021, pp. 929-940.
DOI Link 2106
Queing analysis of checkpoints. BibRef

Opach, T.[Tomasz], Navarra, C.[Carlo], Rød, J.K.[Jan Ketil], Neset, T.S.[Tina-Simone],
Pedestrian Routing and Perspectives: WayFinder's Route down the Lane: Come on with the Rain,
IJGI(10), No. 6, 2021, pp. xx-yy.
DOI Link 2106
BibRef

Huang, F.[Feiran], Xu, J.[Jie], Weng, J.[Jian],
Multi-Task Travel Route Planning With a Flexible Deep Learning Framework,
ITS(22), No. 7, July 2021, pp. 3907-3918.
IEEE DOI 2107
Planning, Task analysis, Data models, Heterogeneous networks, Traveling salesman problems, Hidden Markov models, Correlation, attention model BibRef

Yu, J.J.Q.[James J. Q.],
Sybil Attack Identification for Crowdsourced Navigation: A Self-Supervised Deep Learning Approach,
ITS(22), No. 7, July 2021, pp. 4622-4634.
IEEE DOI 2107
Sybil attacks that inject carefully designed adversarial GPS trajectories to compromise the data aggregation system. Trajectory, Navigation, Deep learning, Training, Bayes methods, Vehicle dynamics, Global Positioning System, cybersecurity BibRef

Fonseca, F.[Fernando], Conticelli, E.[Elisa], Papageorgiou, G.[George], Ribeiro, P.[Paulo], Jabbari, M.[Mona], Tondelli, S.[Simona], Ramos, R.[Rui],
Use and Perceptions of Pedestrian Navigation Apps: Findings from Bologna and Porto,
IJGI(10), No. 7, 2021, pp. xx-yy.
DOI Link 2108
BibRef

Yang, J.W.[Jing-Wen], Wang, P.[Ping], Yuan, W.[Wubei], Ju, Y.F.[Yong-Feng], Han, W.L.[Wan-Li], Zhao, J.Y.[Jian-You],
Automatic generation of optimal road trajectory for the rescue vehicle in case of emergency on mountain freeway using reinforcement learning approach,
IET-ITS(15), No. 9, 2021, pp. 1142-1152.
DOI Link 2108
BibRef

Xiao, J.H.[Jian-Hua], Zhang, T.[Tao], Du, J.G.[Jing-Guo], Zhang, X.Y.[Xing-Yi],
An Evolutionary Multiobjective Route Grouping-Based Heuristic Algorithm for Large-Scale Capacitated Vehicle Routing Problems,
Cyber(51), No. 8, August 2021, pp. 4173-4186.
IEEE DOI 2108
Heuristic algorithms, Approximation algorithms, Optimization, Partitioning algorithms, Signal processing algorithms, vehicle routing problem BibRef

Cristian, A.[Alexandru], Marshall, L.[Luke], Negrea, M.[Mihai], Stoichescu, F.[Flavius], Cao, P.[Peiwei], Menache, I.[Ishai],
Multi-Itinerary Optimization as Cloud Service,
CACM(64), No. 11, November 2021, pp. 121-129.
DOI Link 2111
BibRef

Wang, Z.Y.[Zhi-Yong], Novack, T.[Tessio], Yan, Y.W.[Ying-Wei], Zipf, A.[Alexander],
Quiet Route Planning for Pedestrians in Traffic Noise Polluted Environments,
ITS(22), No. 12, December 2021, pp. 7573-7584.
IEEE DOI 2112
Roads, Urban areas, Estimation, Solid modeling, Planning, Pollution, Routing, Route planning, volunteered geographic information, routing algorithm BibRef

Zhao, J.X.[Jiu-Xia], Mao, M.J.[Min-Jia], Zhao, X.[Xi], Zou, J.H.[Jian-Hua],
A Hybrid of Deep Reinforcement Learning and Local Search for the Vehicle Routing Problems,
ITS(22), No. 11, November 2021, pp. 7208-7218.
IEEE DOI 2112
Routing, Adaptation models, Heuristic algorithms, Search problems, Training, Optimization, VRP, VRPTW, routing simulator, local search BibRef

Bono, G.[Guillaume], Dibangoye, J.S.[Jilles S.], Simonin, O.[Olivier], Matignon, L.[Laëtitia], Pereyron, F.[Florian],
Solving Multi-Agent Routing Problems Using Deep Attention Mechanisms,
ITS(22), No. 12, December 2021, pp. 7804-7813.
IEEE DOI 2112
Vehicle dynamics, Stochastic processes, Routing, Decision making, Adaptation models, Space exploration, Urban areas, attention mechanisms BibRef

Zhou, S.Z.[Shu-Zi], Zhan, Z.H.[Zhi-Hui], Chen, Z.G.[Zong-Gan], Kwong, S.[Sam], Zhang, J.[Jun],
A Multi-Objective Ant Colony System Algorithm for Airline Crew Rostering Problem With Fairness and Satisfaction,
ITS(22), No. 11, November 2021, pp. 6784-6798.
IEEE DOI 2112
Atmospheric modeling, Time measurement, Optimization, Sociology, Statistics, Search problems, Scheduling, ant colony system (ACS) BibRef

Zhou, P.[Pan], Zhao, W.G.[Wei-Guang], Li, J.H.[Jiang-Hui], Li, A.[Ang], Du, W.[Wei], Wen, S.P.[Shi-Ping],
Massive Maritime Path Planning: A Contextual Online Learning Approach,
Cyber(51), No. 12, December 2021, pp. 6262-6273.
IEEE DOI 2112
Oceans, Path planning, Big Data, Routing, Planning, Binary trees, Numerical models, Big data, contextual multiarm bandit (CMAB), online learning BibRef

Lan, Y.L.[Yu-Lin], Liu, F.G.[Fa-Gui], Huang, Z.X.[Zhi-Xing], Ng, W.W.Y.[Wing W. Y.], Zhong, J.H.[Jing-Hui],
Two-Echelon Dispatching Problem With Mobile Satellites in City Logistics,
ITS(23), No. 1, January 2022, pp. 84-96.
IEEE DOI 2201
Dispatching, Satellites, Urban areas, Logistics, Clustering algorithms, Mathematical model, Optimization, variable neighborhood search BibRef

Lan, Y.L.[Yu-Lin], Liu, F.G.[Fa-Gui], Ng, W.W.Y.[Wing W. Y.], Gui, M.K.[Meng-Ke], Lai, C.Q.[Cheng-Qi],
Multi-Objective Two-Echelon City Dispatching Problem With Mobile Satellites and Crowd-Shipping,
ITS(23), No. 9, September 2022, pp. 15340-15353.
IEEE DOI 2209
Optimization, Costs, Satellites, Dispatching, Companies, Logistics, Customer satisfaction, Crowd-shipping, two-echelon BibRef

Chen, C.[Chen], Liu, L.[Lei], Qiu, T.[Tie], Jiang, J.[Jiange], Pei, Q.Q.[Qing-Qi], Song, H.[Houbing],
Routing With Traffic Awareness and Link Preference in Internet of Vehicles,
ITS(23), No. 1, January 2022, pp. 200-214.
IEEE DOI 2201
Routing, Routing protocols, Roads, Delays, Trajectory, Internet of Vehicles, geographic routing protocol, link transmission quality BibRef

Liu, H.[Han], Wang, J.[Jian], Ouyang, Y.F.[Yan-Feng],
Resource Planning Under Hypercube Queuing Equilibrium With Server Disruptions and Cooperative Dispatches,
ITS(23), No. 1, January 2022, pp. 651-662.
IEEE DOI 2201
Servers, Hypercubes, Reliability, Probabilistic logic, Computational modeling, Emergency services, Resource management, server cooperation BibRef

Hulagu, S.[Selin], Celikoglu, H.B.[Hilmi Berk],
An Electric Vehicle Routing Problem With Intermediate Nodes for Shuttle Fleets,
ITS(23), No. 2, February 2022, pp. 1223-1235.
IEEE DOI 2202
Routing, Roads, Batteries, Vehicle routing, Vehicle dynamics, Green products, Electric vehicles, vehicle routing, optimization BibRef

Zouari, M.[Mariam], Baklouti, N.[Nesrine], Sanchez-Medina, J.[Javier], Kammoun, H.M.[Habib M.], Ben Ayed, M.[Mounir], Alimi, A.M.[Adel M.],
PSO-Based Adaptive Hierarchical Interval Type-2 Fuzzy Knowledge Representation System (PSO-AHIT2FKRS) for Travel Route Guidance,
ITS(23), No. 2, February 2022, pp. 804-818.
IEEE DOI 2202
Roads, Fuzzy logic, Real-time systems, Vehicles, Vehicle dynamics, Particle swarm optimization, Adaptation models, particle swarm optimization BibRef

Neira-Rodado, D.[Dionicio], Escobar-Velasquez, J.W.[John Wilmer], McClean, S.[Sally],
Ambulances Deployment Problems: Categorization, Evolution and Dynamic Problems Review,
IJGI(11), No. 2, 2022, pp. xx-yy.
DOI Link 2202
BibRef

Guo, Y.C.[Yi-Cong], Liu, X.X.[Xiao-Xiong], Liu, X.[Xuhang], Yang, Y.[Yue], Zhang, W.G.[Wei-Guo],
FC-RRT*: An Improved Path Planning Algorithm for UAV in 3D Complex Environment,
IJGI(11), No. 2, 2022, pp. xx-yy.
DOI Link 2202
BibRef

Zhou, X.[Xiao], Tian, J.P.[Jiang-Peng], Su, M.Z.[Ming-Zhan],
Tour-Route-Recommendation Algorithm Based on the Improved AGNES Spatial Clustering and Space-Time Deduction Model,
IJGI(11), No. 2, 2022, pp. xx-yy.
DOI Link 2202
Route for tourist interests, not just time. BibRef

Yao, Z.H.[Zhi-Hong], Jiang, H.R.[Hao-Ran], Cheng, Y.[Yang], Jiang, Y.S.[Yang-Sheng], Ran, B.[Bin],
Integrated Schedule and Trajectory Optimization for Connected Automated Vehicles in a Conflict Zone,
ITS(23), No. 3, March 2022, pp. 1841-1851.
IEEE DOI 2203
Optimization, Delays, Trajectory, Fuels, Schedules, Roads, Connected automated vehicles, optimal scheduling, MILP, trajectories planning BibRef

Zhang, H.L.[Hai-Long], Wu, Y.[Yuankai], Tan, H.C.[Hua-Chun], Dong, H.X.[Han-Xuan], Ding, F.[Fan], Ran, B.[Bin],
Understanding and Modeling Urban Mobility Dynamics via Disentangled Representation Learning,
ITS(23), No. 3, March 2022, pp. 2010-2020.
IEEE DOI 2203
Meteorology, Transportation, Data models, Predictive models, Couplings, Neural networks, Urban computing, deep learning BibRef

Li, P.S.[Pei-Song], Wang, X.H.[Xin-Heng], Gao, H.H.[Hong-Hao], Xu, X.L.[Xiao-Long], Iqbal, M.[Muddesar], Dahal, K.[Keshav],
A Dynamic and Scalable User-Centric Route Planning Algorithm Based on Polychromatic Sets Theory,
ITS(23), No. 3, March 2022, pp. 2762-2772.
IEEE DOI 2203
Roads, Planning, Navigation, Measurement, Heuristic algorithms, Real-time systems, Vehicles, User-centric, route planning, polychromatic sets theory BibRef

Park, B.[Byungjae],
Stochastic Path Optimization to Improve Navigation Safety in Urban Environment,
IEICE(E105-D), No. 5, May 2022, pp. 1116-1119.
WWW Link. 2205
BibRef

Spana, S.[Stephen], Du, L.[Lili], Yin, Y.F.[Ya-Feng],
Strategic Information Perturbation for an Online In-Vehicle Coordinated Routing Mechanism for Connected Vehicles Under Mixed-Strategy Congestion Game,
ITS(23), No. 5, May 2022, pp. 4541-4555.
IEEE DOI 2205
Routing, Perturbation methods, System performance, Games, Tools, Real-time systems, Connected vehicles, real-time coordinated routing BibRef

Zhong, G.C.[Guang-Chun], Zhai, G.F.[Guo-Fang], Chen, W.[Wei],
Optimization of Shelter Location Based on a Combined Static/Dynamic Two-Stage Optimization Methodology: A Case Study in the Central Urban Area of Xinyi City, China,
IJGI(11), No. 4, 2022, pp. xx-yy.
DOI Link 2205
BibRef

Wu, W.M.[Wei-Min], Xing, Z.C.[Zi-Chao], Yue, H.[Hao], Su, H.Y.[Hong-Ye], Pang, S.C.[Shan-Chen],
Petri-net-based deadlock detection and recovery for control of interacting equipment in automated container terminals,
IET-ITS(16), No. 6, 2022, pp. 739-753.
DOI Link 2205
BibRef

Yu, H.C.[Hong-Chu], Murray, A.T.[Alan T.], Fang, Z.X.[Zhi-Xiang], Liu, J.X.[Jing-Xian], Peng, G.J.[Guo-Jun], Solgi, M.[Mohammad], Zhang, W.L.[Wei-Long],
Ship Path Optimization That Accounts for Geographical Traffic Characteristics to Increase Maritime Port Safety,
ITS(23), No. 6, June 2022, pp. 5765-5776.
IEEE DOI 2206
Marine vehicles, Navigation, Optimization, Safety, Collision avoidance, Risk management, Data models, path optimization BibRef

Xiang, X.S.[Xiao-Shu], Tian, Y.[Ye], Zhang, X.Y.[Xing-Yi], Xiao, J.H.[Jian-Hua], Jin, Y.[Yaochu],
A Pairwise Proximity Learning-Based Ant Colony Algorithm for Dynamic Vehicle Routing Problems,
ITS(23), No. 6, June 2022, pp. 5275-5286.
IEEE DOI 2206
Learning systems, Logistics, Vehicle dynamics, Task analysis, Heuristic algorithms, Routing, Computational efficiency, pairwise proximity BibRef

Darko, J.[Justice], Folsom, L.[Larkin], Pugh, N.[Nigel], Park, H.[Hyoshin], Shirzad, K.[Khadijeh], Owens, J.[Justin], Miller, A.[Andrew],
Adaptive personalized routing for vulnerable road users,
IET-ITS(16), No. 8, 2022, pp. 1011-1025.
DOI Link 2207
BibRef

Huang, H.[Han], Yang, S.[Shuling], Li, X.Q.[Xue-Qiang], Hao, Z.F.[Zhi-Feng],
An Embedded Hamiltonian Graph-Guided Heuristic Algorithm for Two-Echelon Vehicle Routing Problem,
Cyber(52), No. 7, July 2022, pp. 5695-5707.
IEEE DOI 2207
Satellites, Heuristic algorithms, Vehicle routing, Planning, Mathematical models, Costs, Urban areas, two-echelon vehicle routing problem (2E-VRP) BibRef

Menelaou, C.[Charalambos], Timotheou, S.[Stelios], Kolios, P.[Panayiotis], Panayiotou, C.G.[Christos G.],
Joint Route Guidance and Demand Management for Real-Time Control of Multi-Regional Traffic Networks,
ITS(23), No. 7, July 2022, pp. 8302-8315.
IEEE DOI 2207
Vehicle dynamics, Real-time systems, Optimization, Roads, Urban areas, Routing, Intelligent transportation systems, optimization of intelligent transportation systems BibRef

Peng, N.[Ningyezi], Xi, Y.L.[Yu-Liang], Rao, J.[Jinmeng], Ma, X.Y.[Xiang-Yuan], Ren, F.[Fu],
Urban Multiple Route Planning Model Using Dynamic Programming in Reinforcement Learning,
ITS(23), No. 7, July 2022, pp. 8037-8047.
IEEE DOI 2207
Roads, Planning, Reinforcement learning, Heuristic algorithms, Dynamic programming, Laboratories, route planning BibRef

Jin, J.C.[Jun-Chen], Rong, D.D.[Ding-Ding], Pang, Y.Q.[Yu-Qi], Zhu, F.H.[Feng-Hua], Guo, H.F.[Hai-Feng], Ma, X.L.[Xiao-Liang], Wang, F.Y.[Fei-Yue],
PRECOM: A Parallel Recommendation Engine for Control, Operations, and Management on Congested Urban Traffic Networks,
ITS(23), No. 7, July 2022, pp. 7332-7342.
IEEE DOI 2207
Engines, Control systems, Urban areas, Process control, Roads, Generators, Spatiotemporal phenomena, human-in-the-loop system BibRef

Guo, H.L.[Hong-Liang], Hou, X.J.[Xue-Jie], Cao, Z.G.[Zhi-Guang], Zhang, J.[Jie],
GP3: Gaussian Process Path Planning for Reliable Shortest Path in Transportation Networks,
ITS(23), No. 8, August 2022, pp. 11575-11590.
IEEE DOI 2208
Reliability, Transportation, Path planning, Planning, Gaussian processes, Standards, Covariance matrices, Lagrangian relaxation BibRef

Sun, Z.H.[Zhao-Hui], Luo, X.S.[Xiao-Song], Wu, E.Q.[Edmond Q.], Zuo, T.Y.[Tian-Yu], Tang, Z.R.[Zhi-Ri], Zhuang, Z.L.[Zi-Long],
Monitoring Scheduling of Drones for Emission Control Areas: An Ant Colony-Based Approach,
ITS(23), No. 8, August 2022, pp. 11699-11709.
IEEE DOI 2208
Drones, Monitoring, Seaports, Task analysis, Batteries, Sun, Optimization, Drone scheduling, emission control area, Heuristic algorithm BibRef

Xin, J.B.[Jian-Bin], Meng, C.[Chuang], d'Ariano, A.[Andrea], Wang, D.S.[Dong-Shu], Negenborn, R.R.[Rudy R.],
Mixed-Integer Nonlinear Programming for Energy-Efficient Container Handling: Formulation and Customized Genetic Algorithm,
ITS(23), No. 8, August 2022, pp. 10542-10555.
IEEE DOI 2208
Containers, Task analysis, Energy consumption, Genetic algorithms, Cranes, Optimization, Job shop scheduling, genetic algorithm BibRef

Guo, H.L.[Hong-Liang], Hou, X.J.[Xue-Jie], Peng, Q.[Qihang],
CTD: Cascaded Temporal Difference Learning for the Mean-Standard Deviation Shortest Path Problem,
ITS(23), No. 8, August 2022, pp. 10868-10886.
IEEE DOI 2208
Planning, Transportation, Reliability, Heuristic algorithms, Standards, Reinforcement learning, Learning systems, generalized policy iteration (GPI) BibRef

Yu, Z.[Zishun], Hu, M.Q.[Meng-Qi],
Deep Reinforcement Learning With Graph Representation for Vehicle Repositioning,
ITS(23), No. 8, August 2022, pp. 13094-13107.
IEEE DOI 2208
Roads, Task analysis, Vehicles, Public transportation, Reinforcement learning, Law enforcement, Companies, Deep Q-Network BibRef

Wu, S.J.[Si-Jin], Grant-Muller, S.[Susan], Yang, L.[Lili],
Modelling the Mobility Changes Caused by Perceived Risk and Policy Efficiency,
IJGI(11), No. 8, 2022, pp. xx-yy.
DOI Link 2209
BibRef

Qi, X.Y.[Xin-Yi], Ji, Y.J.[Yan-Jie], Yu, J.J.[Jia-Jie], Bu, Q.[Qing], Samal, D.I.[Dmitry Ivanovich],
Influence of smartphone traffic application information on drivers' route choice behaviours,
IET-ITS(16), No. 10, 2022, pp. 1413-1426.
DOI Link 2209
BibRef

Xu, Y.Q.[Yun-Qiu], Fang, M.[Meng], Chen, L.[Ling], Xu, G.Y.[Gang-Yan], Du, Y.[Yali], Zhang, C.Q.[Cheng-Qi],
Reinforcement Learning With Multiple Relational Attention for Solving Vehicle Routing Problems,
Cyber(52), No. 10, October 2022, pp. 11107-11120.
IEEE DOI 2209
Computational modeling, Vehicle routing, Optimization, Decoding, Context modeling, Vehicle dynamics, Task analysis, vehicle routing problem (VRP) BibRef

Zhang, R.[Ruda], Ghanem, R.[Roger],
Drivers Learn City-Scale Intra-Daily Dynamic Equilibrium,
ITS(23), No. 9, September 2022, pp. 15278-15287.
IEEE DOI 2209
Vehicles, Public transportation, Biological system modeling, Search problems, Thermodynamics, Games, Urban areas, Nash equilibrium BibRef

Jiang, S.[Shan], Zhang, Y.L.[Yi-Lun], Liu, R.[Ran], Jafari, M.[Mohsen], Kharbeche, M.[Mohamed],
Data-Driven Optimization for Dynamic Shortest Path Problem Considering Traffic Safety,
ITS(23), No. 10, October 2022, pp. 18237-18252.
IEEE DOI 2210
Navigation, Routing, Safety, Heuristic algorithms, Shortest path problem, Real-time systems, Stochastic processes, travel time prediction BibRef

Chen, H.Y.[Hui-Yu], Wu, F.[Fan], Hou, K.[Kaizhe], Qiu, T.Z.[Tony Z.],
Backpressure-Based Distributed Dynamic Route Control for Connected and Automated Vehicles,
ITS(23), No. 11, November 2022, pp. 20953-20964.
IEEE DOI 2212
Routing, Real-time systems, Vehicle dynamics, Heuristic algorithms, Intelligent transportation systems, Costs, Mathematical models, CAVs BibRef

Sun, Y.[Yiwen], Hu, W.Z.[Wen-Zheng], Zhou, D.H.[Dong-Hua], Mo, B.C.[Bai-Chuan], Fu, K.[Kun], Che, Z.P.[Zheng-Ping], Wang, Z.[Zheng], Wang, S.H.[Shen-Hao], Zhao, J.H.[Jin-Hua], Ye, J.P.[Jie-Ping], Tang, J.[Jian], Zhang, C.S.[Chang-Shui],
Alleviating Data Sparsity Problems in Estimated Time of Arrival via Auxiliary Metric Learning,
ITS(23), No. 12, December 2022, pp. 23231-23243.
IEEE DOI 2212
Roads, Vehicles, Measurement, Trajectory, Task analysis, Deep learning, Sun, Estimated time of arrival, data sparsity problem, multi-task learning BibRef

Sun, Y.[Yiwen], Fu, K.[Kun], Wang, Z.[Zheng], Zhang, C.S.[Chang-Shui], Ye, J.P.[Jie-Ping],
Road Network Metric Learning for Estimated Time of Arrival,
ICPR21(1820-1827)
IEEE DOI 2105
Measurement, Deep learning, Roads, Computational modeling, Predictive models, Data models, Space exploration BibRef

Karatas, M.[Mumtaz], Eriskin, L.[Levent], Bozkaya, E.[Elif],
Transportation and Location Planning During Epidemics/Pandemics: Emerging Problems and Solution Approaches,
ITS(23), No. 12, December 2022, pp. 25139-25156.
IEEE DOI 2212
Pandemics, COVID-19, Biological system modeling, Planning, Analytical models, Atmospheric modeling, Public transportation, COVID-19 BibRef

Liu, G.Y.[Guang-Yi], Salehi, S.[Seyedmohammad], Bala, E.[Erdem], Shen, C.C.[Chien-Chung], Cimini, L.J.[Leonard J.],
Communication-Constrained Routing and Traffic Control: A Framework for Infrastructure-Assisted Autonomous Vehicles,
ITS(23), No. 12, December 2022, pp. 23844-23857.
IEEE DOI 2212
Routing, Wireless communication, Roads, Throughput, Automation, Resource management, Bandwidth, Autonomous vehicles, routing, road-network throughput BibRef

Li, B.[Bohan], Dai, T.L.[Tian-Lun], Chen, W.T.[Wei-Tong], Song, X.Y.[Xin-Yang], Zang, Y.[Yalei], Huang, Z.L.[Zhe-Long], Lin, Q.Y.[Qin-Yong], Cai, K.[Ken],
T-PORP: A Trusted Parallel Route Planning Model on Dynamic Road Networks,
ITS(24), No. 1, January 2023, pp. 1238-1250.
IEEE DOI 2301
Planning, Roads, Heuristic algorithms, Vehicle dynamics, Navigation, Computational modeling, Transportation, ISC, route planning, dynamic road networks BibRef

Lu, E.H.C.[Eric Hsueh-Chan], Syu, S.S.[Sin-Sian],
One-Way Search Algorithm for Route Planning With Multiple Requests,
ITS(24), No. 2, February 2023, pp. 1682-1691.
IEEE DOI 2302
Planning, Approximation algorithms, Roads, Iterative methods, Costs, Search problems, Intelligent transportation systems, location-based service BibRef

Ji, Y.X.[Yu-Xiong], Ni, L.[Lantao], Zhao, C.[Cong], Lei, C.[Cailin], Du, Y.C.[Yu-Chuan], Wang, W.[Wenshuo],
TriPField: A 3D Potential Field Model and Its Applications to Local Path Planning of Autonomous Vehicles,
ITS(24), No. 3, March 2023, pp. 3541-3554.
IEEE DOI 2303
Path planning, Computational modeling, Potential energy, Mathematical models, Laplace equations, Solid modeling, Planning, autonomous vehicles BibRef

Ti, P.[Peng], Dai, R.[Ruyu], Wan, F.[Fangyi], Xiong, T.[Tao], Wu, H.[Hao], Li, Z.L.[Zhi-Lin],
Influencing Pedestrians' Route Choice Using Route Shape Simplification,
IJGI(12), No. 2, 2023, pp. xx-yy.
DOI Link 2303
BibRef

Ho, M.C.[Mun Chon], Lim, J.M.Y.[Joanne Mun-Yee], Chong, C.Y.[Chun Yong], Chua, K.K.[Kah Keong], Siah, A.K.L.[Alvin Kuok Lim],
High Dimensional Origin Destination Calibration Using Metamodel Assisted Simultaneous Perturbation Stochastic Approximation,
ITS(24), No. 4, April 2023, pp. 3845-3854.
IEEE DOI 2304
Calibration, Roads, Transportation, Perturbation methods, Stochastic processes, Approximation algorithms, Data models, SPSA BibRef

Liu, K.J.[Kai-Jun], Liu, J.M.[Jian-Ming], Zhang, J.W.[Jing-Wei],
Advanced algorithms for optimal meeting points in road networks,
IET-ITS(17), No. 5, 2023, pp. 1022-1036.
DOI Link 2305
transportation, geographic information systems, query processing BibRef

Bordogna, G.[Gloria], Carrara, P.[Paola], Frigerio, L.[Luca], Lella, S.[Simone],
Flexible Trip-Planning Queries,
IJGI(12), No. 5, 2023, pp. xx-yy.
DOI Link 2306
BibRef

Roy, T.[Tanushree], Dey, S.[Satadru],
Route Choice-Based Socio-Technical Macroscopic Traffic Model,
ITS(24), No. 6, June 2023, pp. 5781-5791.
IEEE DOI 2306
Behavioral sciences, Hidden Markov models, Vehicle dynamics, Adaptation models, Mathematical models, Games, Autonomous vehicles, route choice behavior BibRef

Azad, U.[Utkarsh], Behera, B.K.[Bikash K.], Ahmed, E.A.[Emad A.], Panigrahi, P.K.[Prasanta K.], Farouk, A.[Ahmed],
Solving Vehicle Routing Problem Using Quantum Approximate Optimization Algorithm,
ITS(24), No. 7, July 2023, pp. 7564-7573.
IEEE DOI 2307
Optimization, Approximation algorithms, Quantum computing, Vehicle routing, Routing, Qubit, Program processors, variational quantum algorithms BibRef

Huang, Y.X.[Yu-Xiao], Feng, L.[Liang], Li, M.[Min], Wang, Y.[Yu], Zhu, Z.[Zexuan], Tan, K.C.[Kay Chen],
Fast Vehicle Routing via Knowledge Transfer in a Reproducing Kernel Hilbert Space,
SMCS(53), No. 9, September 2023, pp. 5404-5416.
IEEE DOI 2309
BibRef


Jamin, A.[Antoine], Duval, G.[Guillaume], Annweiler, C.[Cédric], Abraham, P.[Pierre], Humeau-Heurtier, A.[Anne],
Study of the influence of Age: Use of Sample Entropy and CEEMDAN on Navigation Data Acquired from a Bike Simulator,
IPTA20(1-6)
IEEE DOI 2206
Navigation, Sociology, Time series analysis, Senior citizens, Tools, Entropy, Geriatrics, Empirical mode decomposition, CEEMDAN, age BibRef

Haidine, A., Ait-Allal, A., Aqqal, A., Dahbi, A.,
Networking Layer for the Evolution of Maritime Ports Into a Smart Environment,
SmartCityApp21(251-257).
DOI Link 2201
BibRef

Arco, E., Ajmar, A., Cremaschini, F., Monaco, C.,
Spatio Temporal Data Cube Applied to AIS Containerships Trend Analysis In the Early Years of the Belt and Road Initiative - From Global To Local Scale,
ISPRS21(B4-2021: 71-78).
DOI Link 2201
BibRef

Banijamali, E.[Ershad], Rohani, M.[Mohsen], Amirloo, E.[Elmira], Luo, J.[Jun], Poupart, P.[Pascal],
Prediction by Anticipation: An Action-Conditional Prediction Method based on Interaction Learning,
ICCV21(15601-15610)
IEEE DOI 2203
Road transportation, Navigation, Computational modeling, Estimation, Predictive models, Probabilistic logic, Scene analysis and understanding BibRef

Amirloo, E.[Elmira], Rohani, M.[Mohsen], Banijamali, E.[Ershad], Luo, J.[Jun], Poupart, P.[Pascal],
Self-Supervised Simultaneous Multi-Step Prediction of Road Dynamics and Cost Map,
CVPR21(8490-8499)
IEEE DOI 2111
Costs, Roads, Scalability, Supervised learning, Dynamics, Manuals BibRef

Messaoud, E., Alaoui, A.E.,
Hybrid ant colony system algorithm for the vehicle routing problem with dynamic customers and traffic factors,
ISCV17(1-4)
IEEE DOI 1710
Benchmark testing, Heuristic algorithms, Routing, Vehicle dynamics, Dynamic, LNS, Routing, Traffic, Vehicle BibRef

Liu, R., Bo, Y., Li, L.,
Ant-Q Algorithm Applied to the Ship Lock Arrangement Problem,
CVIDL20(613-616)
IEEE DOI 2102
navigation, rivers, safety, ships, transportation, ship lock navigable capability, safe navigation, ship lock arrangement BibRef

Wage, O., Feuerhake, U., Koetsier, C., Ponick, A., Schild, N., Beening, T., Dare, S.,
Ride Vibrations: Towards Comfort-based Bicycle Navigation,
ISPRS20(B4:367-373).
DOI Link 2012
BibRef

Bengag, A.[Amina], Bengag, A.[Asmae], El Boukhari, M.[Mohamed],
Enhancing GPSR routing protocol based on Velocity and Density for real-time urban scenario,
ISCV20(1-5)
IEEE DOI 2011
road accidents, road safety, routing protocols, telecommunication network reliability, SUMO BibRef

Aksu, H.[Hami], Dorner, W.[Wolfgang], Zheng, L.H.[Li-Hong],
Location Analysis Based Waiting Time Optimisation,
PSIVT19(30-41).
Springer DOI 2003
people in line, not vehicles. BibRef

Scandiffio, A.,
Mapping Spatial Quality of Slow Routes With a GIS-based Method A Comparative Assessment of Alternative Routes,
CIPA19(1071-1076).
DOI Link 1912
BibRef

Davoodi, M., Malekpour Golsefidi, M., Mesgari, M.S.,
A Hybrid Optimization Method for Vehicle Routing Problem Using Artificial Bee Colony and Genetic Algorithm,
SMPR19(293-297).
DOI Link 1912
BibRef

Nourbakhsh, A.H., Delavar, M.R., Jadidi, M., Moshiri, B.,
Reducing The Time to Get Emergency Assistance for Accident Vehicles On The Road Through An Intelligent Transportation System,
SMPR19(827-832).
DOI Link 1912
BibRef

Aditya, T., Laksono, D., Sutanta, H., Izzahudin, N., Susanta, F.,
A Usability Evaluation of A 3D Map Display for Pedestrian Navigation,
GeoInfo18(3-10).
DOI Link 1901
BibRef

Oyedotun, O.K., Shabayek, A.E.R., Aouada, D., Ottersten, B.,
Highway Network Block with Gates Constraints for Training Very Deep Networks,
EfficientDeep18(1739-173909)
IEEE DOI 1812
Road transportation, Training, Logic gates, Optimization, Error analysis, Routing, Task analysis BibRef

Sinha, S., Nirala, M.K., Ghosh, S., Ghosh, S.K.,
Hybrid Path Planner for Efficient Navigation in Urban Road Networks through Analysis of Trajectory Traces,
ICPR18(3250-3255)
IEEE DOI 1812
Roads, Routing, Navigation, Trajectory, Public transportation, Heuristic algorithms, Planning, Path planning, routing tables, trajectory data mining BibRef

Deo, N., Trivedi, M.M.,
Convolutional Social Pooling for Vehicle Trajectory Prediction,
Joint18(1549-15498)
IEEE DOI 1812
Predictive models, Trajectory, Hidden Markov models, Tracking, Vehicles, Traffic control BibRef

Lamouik, I., Yahyaouy, A., Sabri, M.A.,
Deep neural network dynamic traffic routing system for vehicles,
ISCV18(1-4)
IEEE DOI 1807
convolution, feedforward neural nets, learning (artificial intelligence), path planning, traffic routing BibRef

Salleh, A.H., Ahamad, M.S.S., Yusoff, M.S.,
Applying an Integrated Route Optimization Method as a Solution to the Problem of Waste Collection,
GGT16(103-110).
DOI Link 1612
BibRef

Selala, M.K., Musakwa, W.,
The Potential Of Strava Data To Contribute In Non-motorised Transport (NMT) Planning In Johannesburg,
ISPRS16(B2: 587-594).
DOI Link 1610
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Heidari, A.A., Delavar, M.R.,
A Modified Genetic Algorithm For Finding Fuzzy Shortest Paths In Uncertain Networks,
ISPRS16(B2: 299-304).
DOI Link 1610
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Jing, L.[Luwei], Liu, F.[Feng], Li, Y.L.[Yu-Ling],
Energy saving routing algorithm based on SPIN protocol in WSN,
IASP11(416-419).
IEEE DOI 1112
BibRef

Chapter on Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities continues in
Routing for Delivery, Multiple Delivery Vehicles, Logistics .


Last update:Aug 31, 2023 at 09:37:21