16.7.2.5.14 Traffic, Routing, Travel Time, Evaluation

Li, Z., Kolmanovsky, I.V., Atkins, E.M., Lu, J., Filev, D.P., Bai, Y.,
Road Disturbance Estimation and Cloud-Aided Comfort-Based Route Planning,
Cyber(47), No. 11, November 2017, pp. 3879-3891.
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

O'Sullivan, A., Pereira, F.C., Zhao, J., Koutsopoulos, H.N.,
Uncertainty in Bus Arrival Time Predictions: Treating Heteroscedasticity With a Metamodel Approach,
ITS(17), No. 11, November 2016, pp. 3286-3296.
IEEE DOI 1609
Information systems BibRef

Nesheli, M.M., Ceder, A., Gonzalez, V.A.,
Real-Time Public-Transport Operational Tactics Using Synchronized Transfers to Eliminate Vehicle Bunching,
ITS(17), No. 11, November 2016, pp. 3220-3229.
IEEE DOI 1609
Delays 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

Zhang, F.M.[Fa-Ming], Zhu, X.Y.[Xin-Yan], Hu, T.[Tao], Guo, W.[Wei], Chen, C.[Chen], Liu, L.J.[Ling-Jia],
Urban Link Travel Time Prediction Based on a Gradient Boosting Method Considering Spatiotemporal Correlations,
IJGI(5), No. 11, 2016, pp. 201.
DOI Link 1612
BibRef

Dorling, K., Heinrichs, J., Messier, G.G., Magierowski, S.,
Vehicle Routing Problems for Drone Delivery,
SMCS(47), No. 1, January 2017, pp. 70-85.
IEEE DOI 1612
Batteries BibRef

Liu, Y.Q.[Ya-Qiong], Seah, H.S.[Hock Soon], Shou, G.[Guochu],
Constrained energy-efficient routing in time-aware road networks,
GeoInfo(21), No. 1, January 2017, pp. 89-117.
WWW Link. 1701
BibRef

Hu, J.L.[Ji-Lin], Yang, B.[Bin], Jensen, C.S.[Christian S.], Ma, Y.[Yu],
Enabling time-dependent uncertain eco-weights for road networks,
GeoInfo(21), No. 1, January 2017, pp. 57-88.
WWW Link. 1701
BibRef

Li, P.H.[Pui Hang], Yiu, M.L.[Man Lung], Mouratidis, K.[Kyriakos],
Discovering historic traffic-tolerant paths in road networks,
GeoInfo(21), No. 1, January 2017, pp. 1-32.
WWW Link. 1701
BibRef

Campigotto, P., Rudloff, C., Leodolter, M., Bauer, D.,
Personalized and Situation-Aware Multimodal Route Recommendations: The FAVOUR Algorithm,
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.
IEEE DOI 1701
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,
ITS(18), No. 1, January 2017, pp. 140-152.
IEEE DOI 1701
Databases BibRef

Yuan, S.X.[Shao-Xin], Wright, B.[Benjamin], Zou, Y.[Yajie], Wang, Y.[Yinhai],
Quantification of variability of valid travel times with FMMs for buses, passenger cars, and taxis,
IET-ITS(11), No. 1, February 2017, pp. 1-9.
DOI Link 1703
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.,
Influence of Familiarity on the Driving Behavior, Route Risk, and Route Choice of Older Drivers,
HMS(49), No. 1, February 2019, pp. 10-19.
IEEE DOI 1901
Vehicles, Vehicle crash testing, Roads, Global Positioning System, Probability, Computer crashes, Older drivers, route choice, trip diary BibRef

Hrncír, J., Žilecký, P., Song, Q., Jakob, M.,
Practical Multicriteria Urban Bicycle Routing,
ITS(18), No. 3, March 2017, pp. 493-504.
IEEE DOI 1703
Approximation algorithms BibRef

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.
DOI Link 1704
BibRef

Barabino, B., Lai, C., Casari, C., Demontis, R., Mozzoni, S.,
Rethinking Transit Time Reliability by Integrating Automated Vehicle Location Data, Passenger Patterns, and Web Tools,
ITS(18), No. 4, April 2017, pp. 756-766.
IEEE DOI 1704
Reliability theory BibRef

Lu, E.H.C., Chen, H.S., Tseng, V.S.,
An Efficient Framework for Multirequest Route Planning in Urban Environments,
ITS(18), No. 4, April 2017, pp. 869-879.
IEEE DOI 1704
Approximation algorithms BibRef

Liu, T., Ceder, A., Ma, J., Guan, W., Zhou, L.,
Graphical Human-Machine Interactive Approach for Integrated Bus Transit Scheduling: Lessons Gained From a Large Bus Company,
ITS(18), No. 4, April 2017, pp. 1023-1028.
IEEE DOI 1704
Companies BibRef

Liu, T., Ceder, A.,
A Note on Transit Coordination Using Integer-Ratio Headways,
ITS(18), No. 6, June 2017, pp. 1654-1656.
IEEE DOI 1706
Linear programming, Mathematical model, Real-time systems, Synchronization, Vehicles, Operational objective functions, timetabling, transfer synchronization, transit, coordination BibRef

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

Chen, C., Zhang, D., Ma, X., Guo, B., Wang, L., Wang, Y., Sha, E.,
crowddeliver: Planning City-Wide Package Delivery Paths Leveraging the Crowd of Taxis,
ITS(18), No. 6, June 2017, pp. 1478-1496.
IEEE DOI 1706
Planning, Public transportation, Real-time systems, Relays, Roads, Trajectory, Urban areas, Package delivery, hitchhiking rides, route planning, taxi scheduling, trajectory, data, mining BibRef

Qian, X., Ukkusuri, S.V.,
Time-of-Day Pricing in Taxi Markets,
ITS(18), No. 6, June 2017, pp. 1610-1622.
IEEE DOI 1706
Dynamic programming, Industries, Pricing, Public transportation, Surges, Urban areas, Vehicles, Time-of-day pricing, daily operation, market dynamics, revenue maximization, surge demand, value, function, approximation 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

Yu, H., Wu, Z., Chen, D., Ma, X.,
Probabilistic Prediction of Bus Headway Using Relevance Vector Machine Regression,
ITS(18), No. 7, July 2017, pp. 1772-1781.
IEEE DOI 1706
Data models, Global Positioning System, Prediction algorithms, Predictive models, Probabilistic logic, Smart cards, Support vector machines, Bus headway, confidence interval, probabilistic prediction, relevance vector machine, smart, card, data BibRef

Ji, B., Yuan, X., Yuan, Y.,
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

Moylan, E.K.M., Rashidi, T.H.,
Latent-Segmentation, Hazard-Based Models of Travel Time,
ITS(18), No. 8, August 2017, pp. 2174-2180.
IEEE DOI 1708
Analytical models, Context, Context modeling, Data models, Hazards, Meteorology, Probabilistic logic, Travel time variability, congestion, hazard-based analysis, latent segmentation formulation, traffic, modeling BibRef

Lopez, A.J.[Angel J.], Astegiano, P.[Paola], Gautama, S.[Sidharta], Ochoa, D.[Daniel], Tampère, C.M.J.[Chris M. J.], Beckx, C.[Carolien],
Unveiling E-Bike Potential for Commuting Trips from GPS Traces,
IJGI(6), No. 7, 2017, pp. xx-yy.
DOI Link 1708
BibRef

Shi, C.Y.[Chao-Yang], Chen, B.Y.[Bi Yu], Li, Q.Q.[Qing-Quan],
Estimation of Travel Time Distributions in Urban Road Networks Using Low-Frequency Floating Car Data,
IJGI(6), No. 8, 2017, pp. xx-yy.
DOI Link 1708
BibRef

Dotoli, M., Zgaya, H., Russo, C., Hammadi, S.,
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

Wang, Y., Zhang, D., Hu, L., Yang, Y., Lee, L.H.,
A Data-Driven and Optimal Bus Scheduling Model With Time-Dependent Traffic and Demand,
ITS(18), No. 9, September 2017, pp. 2443-2452.
IEEE DOI 1709
scheduling, Quality of service, traffic 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

Colpaert, P.[Pieter], Van Compernolle, M.[Mathias], Walravens, N.[Nils], Mechant, P.[Peter], Adriaenssens, J.[Jan], Ongenae, F.[Femke], Verborgh, R.[Ruben], Mannens, E.[Erik],
Open transport data for maximising reuse in multimodal route planners: a study in Flanders,
IET-ITS(11), No. 7, September 2017, pp. 397-402.
DOI Link 1710
BibRef

Zhao, X., Wan, C., Sun, H., Xie, D., Gao, Z.,
Dynamic Rerouting Behavior and Its Impact on Dynamic Traffic Patterns,
ITS(18), No. 10, October 2017, pp. 2763-2779.
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

Poletti, F.[Flavio], Bösch, P.M.[Patrick M.], Ciari, F.[Francesco], Axhausen, K.W.[Kay W.],
Public Transit Route Mapping for Large-Scale Multimodal Networks,
IJGI(6), No. 9, 2017, pp. xx-yy.
DOI Link 1710
BibRef

Mahmood, T.[Tariq], Mujtaba, G.[Ghulam], Shuib, L.[Liyana], Ali, N.Z.[Nikkishah Zulfiqar], Bawa, A.[Amir], Karim, S.[Saima],
Public bus commuter assistance through the named entity recognition of twitter feeds and intelligent route finding,
IET-ITS(11), No. 8, October 2017, pp. 521-529.
DOI Link 1710
BibRef

Ning-bo, C.[Cao], Zhao-wei, Q.[Qu], Yong-heng, C.[Chen], Li-ying, Z.[Zhao], Xian-min, S.[Song], Qiao-wen, B.[Bai],
Destination and route choice models for bidirectional pedestrian flow based on the social force model,
IET-ITS(11), No. 9, November 2017, pp. 537-545.
DOI Link 1710
BibRef

Mouhcine, E., Khalifa, M., Mohamed, Y.,
Route optimization for school bus scheduling problem based on a distributed ant colony system algorithm,
ISCV17(1-8)
IEEE DOI 1710
combinatorial mathematics, multi-agent systems, path planning, road vehicles, scheduling, 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

Kim, H., Kim, Y., Jang, K.,
Systematic Relation of Estimated Travel Speed and Actual Travel Speed,
ITS(18), No. 10, October 2017, pp. 2780-2789.
IEEE DOI 1710
Detectors, Kinematics, Numerical analysis, Shape, Systematics, Traffic control, Transportation, Systematic difference, actual travel speed, estimated travel speed, traffic, information BibRef

Li, M.[Ming], Yu, L.[Lei], Song, G.[Guohua],
Quantification of road grade to improve the estimation of fuel consumptions using the global positioning system,
IET-ITS(11), No. 8, October 2017, pp. 485-490.
DOI Link 1710
BibRef

Guo, J.[Jing], Wu, Y.X.[Yao-Xin], Zhang, X.X.[Xue-Xi], Zhang, L.[Le], Chen, W.[Wei], Cao, Z.G.[Zhi-Guang], Zhang, L.[Lu], Guo, H.L.[Hong-Liang],
Finding the 'faster' path in vehicle routing,
IET-ITS(11), No. 10, December 2017, pp. 685-694.
DOI Link 1711
BibRef

Wu, L.[Liang], Hu, S.[Sheng], Yin, L.[Li], Wang, Y.Z.[Ya-Zhou], Chen, Z.L.[Zhan-Long], Guo, M.Q.[Ming-Qiang], Chen, H.[Hao], Xie, Z.[Zhong],
Optimizing Cruising Routes for Taxi Drivers Using a Spatio-Temporal Trajectory Model,
IJGI(6), No. 11, 2017, pp. xx-yy.
DOI Link 1712
BibRef

Barabino, B., Salis, S., Assorgia, A.,
Application of Mobility Management: A Web structure for the optimisation of the mobility of working staff of big companies,
IET-ITS(6), No. 1, March 2012, pp. 87-95.
DOI Link 1712
Not really the right place for this paper. BibRef

Bicocchi, N., Mamei, M., Sassi, A., Zambonelli, F.,
On Recommending Opportunistic Rides,
ITS(18), No. 12, December 2017, pp. 3328-3338.
IEEE DOI 1712
Clustering algorithms, Global Positioning System, Mobile communication, Mobile computing, Recommender systems, road transportation BibRef

Ulloa, L.[Luis], Lehoux-Lebacque, V.[Vassilissa], Roulland, F.[Frédéric],
Trip planning within a multimodal urban mobility,
IET-ITS(12), No. 2, March 2018, pp. 87-92.
DOI Link 1801
BibRef

Wang, Y.L.[Yu-Long], Qin, K.[Kun], Chen, Y.X.[Yi-Xiang], Zhao, P.X.[Peng-Xiang],
Detecting Anomalous Trajectories and Behavior Patterns Using Hierarchical Clustering from Taxi GPS Data,
IJGI(7), No. 1, 2018, pp. xx-yy.
DOI Link 1801
BibRef

Cebecauer, M.[Matej], Jenelius, E.[Erik], Burghout, W.[Wilco],
Integrated framework for real-time urban network travel time prediction on sparse probe data,
IET-ITS(12), No. 1, February 2018, pp. 66-74.
DOI Link 1801
BibRef

Li, W.[Wan], Cheng, D.H.[Dan-Hong], Bian, R.J.[Rui-Jie], Ishak, S.[Sherif], Osman, O.A.[Osama A.],
Accounting for travel time reliability, trip purpose and departure time choice in an agent-based dynamic toll pricing approach,
IET-ITS(12), No. 1, February 2018, pp. 58-65.
DOI Link 1801
BibRef

Dulebenets, M.A.,
Application of Evolutionary Computation for Berth Scheduling at Marine Container Terminals: Parameter Tuning Versus Parameter Control,
ITS(19), No. 1, January 2018, pp. 25-37.
IEEE DOI 1801
containerisation, evolutionary computation, goods distribution, integer programming, minimisation, optimisation, scheduling, parameter control BibRef

Lu, C.C., Yan, S., Ko, H.C., Chen, H.J.,
A Bilevel Model With a Solution Algorithm for Locating Weigh-In-Motion Stations,
ITS(19), No. 2, February 2018, pp. 380-389.
IEEE DOI 1802
decision making, optimisation, road traffic, road vehicles, Nevada road network, WIM location problem, weigh-in-motion BibRef

Kalamaras, I., Zamichos, A., Salamanis, A., Drosou, A., Kehagias, D.D., Margaritis, G., Papadopoulos, S., Tzovaras, D.,
An Interactive Visual Analytics Platform for Smart Intelligent Transportation Systems Management,
ITS(19), No. 2, February 2018, pp. 487-496.
IEEE DOI 1802
Anomaly detection, Data visualization, Roads, Tools, Visual analytics, Traffic prediction, hypothesis testing, visual analytics BibRef

Jenelius, E., Koutsopoulos, H.N.,
Urban Network Travel Time Prediction Based on a Probabilistic Principal Component Analysis Model of Probe Data,
ITS(19), No. 2, February 2018, pp. 436-445.
IEEE DOI 1802
Computational modeling, Data models, Load modeling, Predictive models, Principal component analysis, probe data BibRef

Zhang, D.T.[De-Tian], Chow, C.Y.[Chi-Yin], Liu, A.[An], Zhang, X.L.[Xiang-Liang], Ding, Q.Z.[Qing-Zhu], Li, Q.[Qing],
Efficient evaluation of shortest travel-time path queries through spatial mashups,
GeoInfo(22), No. 1, January 2018, pp. 3-28.
Springer DOI 1802
BibRef

Bolouri, S.[Samira], Vafaeinejad, A.[Alireza], Alesheikh, A.A.[Ali Asghar], Aghamohammadi, H.[Hossein],
The Ordered Capacitated Multi-Objective Location-Allocation Problem for Fire Stations Using Spatial Optimization,
IJGI(7), No. 2, 2018, pp. xx-yy.
DOI Link 1802
BibRef

Zhang, Y., Song, S., Shen, Z.J.M., Wu, C.,
Robust Shortest Path Problem With Distributional Uncertainty,
ITS(19), No. 4, April 2018, pp. 1080-1090.
IEEE DOI 1804
Approximation methods, Correlation, Robustness, Shortest path problem, Uncertainty, Upper bound, path reliability BibRef

Meng, X., Li, J., Dai, X., Dou, J.,
Variable Neighborhood Search for a Colored Traveling Salesman Problem,
ITS(19), No. 4, April 2018, pp. 1018-1026.
IEEE DOI 1804
Biological cells, Color, Encoding, Genetic algorithms, Optimization, Traveling salesman problems, Urban areas, variable neighborhood search BibRef

Drakoulis, R., Bellotti, F., Bakas, I., Berta, R., Paranthaman, P.K., Dange, G.R., Lytrivis, P., Pagle, K., de Gloria, A., Amditis, A.,
A Gamified Flexible Transportation Service for On-Demand Public Transport,
ITS(19), No. 3, March 2018, pp. 921-933.
IEEE DOI 1804
Computer architecture, Games, Linear programming, Public transportation, Urban areas, Vehicle dynamics, serious game BibRef

Zia, M.[Mohammed], Cakir, Z.[Ziyadin], Seker, D.Z.[Dursun Zafer],
Spatial Transformation of Equality: Generalized Travelling Salesman Problem to Travelling Salesman Problem,
IJGI(7), No. 3, 2018, pp. xx-yy.
DOI Link 1804
BibRef

Perboli, G.[Guido], Rosano, M.[Mariangela], Saint-Guillain, M.[Michael], Rizzo, P.[Pietro],
Simulationoptimisation framework for City Logistics: An application on multimodal last-mile delivery,
IET-ITS(12), No. 4, May 2018, pp. 262-269.
DOI Link 1804
BibRef

Fusco, G.[Gaetano], Bracci, A.[Agnese], Caligiuri, T.[Tommaso], Colombaroni, C.[Chiara], Isaenko, N.[Natalia],
Experimental analyses and clustering of travel choice behaviours by floating car big data in a large urban area,
IET-ITS(12), No. 4, May 2018, pp. 270-278.
DOI Link 1804
BibRef

Corazza, M.V.[Maria Vittoria], Magnalardo, S.[Silvia], Musso, A.[Antonio], Petracci, E.[Enrico], Tozzi, M.[Michele], Vasari, D.[Daniela], de Verdalle, E.[Emmanuel],
Testing an innovative predictive management system for bus fleets: outcomes from the Ravenna case study,
IET-ITS(12), No. 4, May 2018, pp. 286-293.
DOI Link 1804
BibRef

Marinelli, M.[Mario], Caggiani, L.[Leonardo], Ottomanelli, M.[Michele], Dell'Orco, M.[Mauro],
En route truckdrone parcel delivery for optimal vehicle routing strategies,
IET-ITS(12), No. 4, May 2018, pp. 253-261.
DOI Link 1804
BibRef

Luo, R., van den Boom, T.J.J., de Schutter, B.,
Multi-Agent Dynamic Routing of a Fleet of Cybercars,
ITS(19), No. 5, May 2018, pp. 1340-1352.
IEEE DOI 1805
Cybernetics, Energy consumption, Mathematical model, Roads, Routing, Vehicle dynamics, Cybercar, intelligent transportation system, parameterized control BibRef

Alamri, S.[Sultan],
An Efficient Shortest Path Routing Algorithm for Directed Indoor Environments,
IJGI(7), No. 4, 2018, pp. xx-yy.
DOI Link 1805
BibRef

Tu, E., Zhang, G., Rachmawati, L., Rajabally, E., Huang, G.B.,
Exploiting AIS Data for Intelligent Maritime Navigation: A Comprehensive Survey From Data to Methodology,
ITS(19), No. 5, May 2018, pp. 1559-1582.
IEEE DOI 1805
Artificial intelligence, Data mining, Estimation, Marine vehicles, Navigation, Safety, AIS data survey, route estimation BibRef

Cavone, G., Dotoli, M., Seatzu, C.,
A Survey on Petri Net Models for Freight Logistics and Transportation Systems,
ITS(19), No. 6, June 2018, pp. 1795-1813.
IEEE DOI 1806
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,
ITS(19), No. 6, June 2018, pp. 1827-1838.
IEEE DOI 1806
Decision making, Dispatching, Medical services, Real-time systems, Resilience, Transportation, Vehicle dynamics, urban flood control BibRef

Wang, N., Zhang, M., Che, A., Jiang, B.,
Bi-Objective Vehicle Routing for Hazardous Materials Transportation With No Vehicles Travelling in Echelon,
ITS(19), No. 6, June 2018, pp. 1867-1879.
IEEE DOI 1806
Algorithm design and analysis, Approximation algorithms, Hazardous materials, Logistics, Optimization, Transportation, vehicle routing problem BibRef

Naufal, J.K., Camargo, J.B., Vismari, L.F., de Almeida, J.R., Molina, C., González, R.I.R., Inam, R., Fersman, E.,
A2CPS: A Vehicle-Centric Safety Conceptual Framework for Autonomous Transport Systems,
ITS(19), No. 6, June 2018, pp. 1925-1939.
IEEE DOI 1806
Autonomous vehicles, Computer architecture, Hazards, Process control, Safety, autonomous vehicles, dependability, resilience BibRef

Monteiro de Lira, V., Perego, R., Renso, C., Rinzivillo, S., Times, V.C.[V. Cesario],
Boosting Ride Sharing With Alternative Destinations,
ITS(19), No. 7, July 2018, pp. 2290-2300.
IEEE DOI 1807
Automobiles, Boosting, Resource management, Urban areas, Carpooling, flexibility, green mobility, ride sharing BibRef

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

Deng, L., Hajiesmaili, M.H., Chen, M., Zeng, H.,
Energy-Efficient Timely Transportation of Long-Haul Heavy-Duty Trucks,
ITS(19), No. 7, July 2018, pp. 2099-2113.
IEEE DOI 1807
Acceleration, Delays, Fuels, Planning, Roads, Energy-efficient transportation, route planning, speed planning, timely delivery BibRef

Mannini, L.[Livia], Cipriani, E.[Ernesto], Crisalli, U.[Umberto], Gemma, A.[Andrea],
FCD data for on-street parking search time estimation,
IET-ITS(12), No. 7, September 2018, pp. 664-672.
DOI Link 1808
BibRef

Wang, H.[Huan], Yang, X.[Xin], Wu, J.J.[Jian-Jun], Sun, H.[Huijun], Gao, Z.Y.[Zi-You],
Metro timetable optimisation for minimising carbon emission and passenger time: a bi-objective integer programming approach,
IET-ITS(12), No. 7, September 2018, pp. 673-681.
DOI Link 1808
BibRef

Ding, J.[Jishiyu], Zhang, Y.[Yi], Li, L.[Li],
Accessibility measure of bus transit networks,
IET-ITS(12), No. 7, September 2018, pp. 682-688.
DOI Link 1808
BibRef

Zhu, L.[Lin], Guo, F.[Fangce], Polak, J.W.[John W.], Krishnan, R.[Rajesh],
Urban link travel time estimation using traffic states-based data fusion,
IET-ITS(12), No. 7, September 2018, pp. 651-663.
DOI Link 1808
BibRef

Guo, S.[Suiming], Chen, C.[Chao], Liu, Y.[Yaxiao], Xu, K.[Ke], Guo, B.[Bin], Chiu, D.M.[Dah Ming],
How to pay less: a location-specific approach to predict dynamic prices in ride-on-demand services,
IET-ITS(12), No. 7, September 2018, pp. 610-618.
DOI Link 1808
BibRef

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,
IET-ITS(12), No. 7, September 2018, pp. 594-601.
DOI Link 1808
BibRef

Hong, S.[Shuai], Lv, R.S.[Rong-Sheng], Hong, P.P.[Peng-Peng],
Cost sharing of terminal joint distribution of express industry,
IET-ITS(12), No. 7, September 2018, pp. 730-734.
DOI Link 1808
BibRef

Huang, S., Jiau, M., Chong, K.,
A Heuristic Multi-Objective Optimization Algorithm for Solving the Carpool Services Problem Featuring High-Occupancy-Vehicle Itineraries,
ITS(19), No. 8, August 2018, pp. 2663-2674.
IEEE DOI 1808
Optimization, Genetic algorithms, Linear programming, Heuristic algorithms, Algorithm design and analysis, Automobiles, high-occupancy-vehicle itineraries BibRef

Feng, J.X.[Jia-Xiao], Ye, Z.R.[Zhi-Rui], Wang, C.[Chao], Chang, C.[Cheng], Xu, M.T.[Ming-Tao], Sun, C.C.[Cui-Cui],
Optimising departure intervals for multiple bus lines with a multi-objective model,
IET-ITS(12), No. 8, October 2018, pp. 809-818.
DOI Link 1809
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Liu, D.X.[Dong-Xu], Dong, H.Z.[Hong-Zhao], Li, T.B.[Tie-Bei], Corcoran, J.[Jonathan], Ji, S.M.[Shi-Ming],
Vehicle scheduling approach and its practice to optimise public bicycle redistribution in Hangzhou,
IET-ITS(12), No. 8, October 2018, pp. 976-985.
DOI Link 1809
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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.
DOI Link 1810
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Zhao, K., Jin, J.G., Wang, Y., Lee, D.,
Optimizing the Link Directions of Personal Rapid Transit Network,
ITS(19), No. 10, October 2018, pp. 3414-3419.
IEEE DOI 1810
Merging, Optimization, System performance, Vehicle routing, Transportation, Queueing analysis, public transportation BibRef

Mbiydzenyuy, G.[Gideon],
Impact assessments of intelligent transport system performance in a freight transport corridor,
IET-ITS(12), No. 9, November 2018, pp. 1071-1081.
DOI Link 1810
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Hwang, J.[Jaemin], Lee, J.S.[Jin Su], Kho, S.Y.[Seung-Young], Kim, D.K.[Dong-Kyu],
Hierarchical hub location problem for freight network design,
IET-ITS(12), No. 9, November 2018, pp. 1062-1070.
DOI Link 1810
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Kusumakar, R.[Rakshith], Buning, L.[Lejo], Rieck, F.[Frank], Schuur, P.[Peter], Tillema, F.[Frans],
INTRALOG- intelligent autonomous truck applications in logistics; single and double articulated autonomous rearward docking on DCs,
IET-ITS(12), No. 9, November 2018, pp. 1045-1052.
DOI Link 1810
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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,
IET-ITS(12), No. 9, November 2018, pp. 1123-1130.
DOI Link 1810
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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,
GeoInfo(22), No. 4, October 2018, pp. 845-867.
WWW Link. 1811
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Wang, L.[Lei], Zhong, Y.[Yugao], Ma, W.[Wanjing],
GPS-data-driven dynamic destination prediction for on-demand one-way carsharing system,
IET-ITS(12), No. 10, December 2018, pp. 1291-1299.
DOI Link 1812
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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

Zhang, T.[Tianci], Ding, M.[Meng], Zuo, H.[Hongfu],
Improved approach for time-based taxi trajectory planning towards conflict-free, efficient and fluent airport ground movement,
IET-ITS(12), No. 10, December 2018, pp. 1360-1368.
DOI Link 1812
BibRef

Meng, X.L.[Xue-Lei], Jia, L.M.[Li-Min], Xiang, W.L.[Wan-Li],
Complex network model for railway timetable stability optimisation,
IET-ITS(12), No. 10, December 2018, pp. 1369-1377.
DOI Link 1812
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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.
DOI Link 1812
BibRef

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,
IET-ITS(12), No. 10, December 2018, pp. 1433-1441.
DOI Link 1812
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Braz, T., Maciel, M., Mestre, D.G., Andrade, N., Pires, C.E., Queiroz, A.R., Santos, V.B.,
Estimating Inefficiency in Bus Trip Choices From a User Perspective With Schedule, Positioning, and Ticketing Data,
ITS(19), No. 11, November 2018, pp. 3630-3641.
IEEE DOI 1812
Big Data, Global Positioning System, traffic engineering computing, transportation, origin-destination estimation BibRef

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

Davis, N., Raina, G., Jagannathan, K.,
Taxi Demand Forecasting: A HEDGE-Based Tessellation Strategy for Improved Accuracy,
ITS(19), No. 11, November 2018, pp. 3686-3697.
IEEE DOI 1812
demand forecasting, forecasting theory, strategic planning, time series, travel industry, HEDGE-based tessellation strategy, HEDGE BibRef

Fan, A.[Aihua], Chen, X.[Xumei], Wang, Y.[Youan], Kou, W.B.[Wei-Bin],
All-stop, skip-stop, or transfer service: an empirical study on preferences of bus passengers,
IET-ITS(12), No. 10, December 2018, pp. 1255-1263.
DOI Link 1812
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Tang, K., Chen, S., Liu, Z.,
Citywide Spatial-Temporal Travel Time Estimation Using Big and Sparse Trajectories,
ITS(19), No. 12, December 2018, pp. 4023-4034.
IEEE DOI 1812
Roads, Trajectory, Estimation, Tensile stress, Hidden Markov models, Correlation, Global Positioning System, Data-driven, occurrence probability 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

Wu, D.M.[Dong-Mei], Li, Y.[Yue], Du, C.Q.[Chang-Qing], Ding, H.T.[Hai-Tao], Li, Y.[Yang], Yang, X.B.[Xiao-Bo], Lu, X.Y.[Xin-Yue],
Fast velocity trajectory planning and control algorithm of intelligent 4WD electric vehicle for energy saving using time-based MPC,
IET-ITS(13), No. 1, January 2019, pp. 153-159.
DOI Link 1901
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

Dulebenets, M.A.,
Minimizing the Total Liner Shipping Route Service Costs via Application of an Efficient Collaborative Agreement,
ITS(20), No. 1, January 2019, pp. 123-136.
IEEE DOI 1901
Companies, Collaboration, Containers, Fuels, Mathematical model, Schedules, Liner shipping schedules, cost savings 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,
Indoor3D19(753-759).
DOI Link 1912
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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,
IET-ITS(13), No. 2, February 2019, pp. 243-251.
DOI Link 1902
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Li, Y., Chu, F., Feng, C., Chu, C., Zhou, M.,
Integrated Production Inventory Routing Planning for Intelligent Food Logistics Systems,
ITS(20), No. 3, March 2019, pp. 867-878.
IEEE DOI 1903
Logistics, Routing, Planning, Tools, Fuzzy logic, Optimization, Bi-objective optimization, integrated planning BibRef

Mao, D.H.[Dian-Hui], Hao, Z.H.[Zhi-Hao], Wang, Y.[Yalei], Fu, S.T.[Shu-Ting],
A Novel Dynamic Dispatching Method for Bicycle-Sharing System,
IJGI(8), No. 3, 2019, pp. xx-yy.
DOI Link 1903
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Tang, C., Ceder, A., Zhao, S., Ge, Y.,
Vehicle Scheduling of Single-Line Bus Service Using Operational Strategies,
ITS(20), No. 3, March 2019, pp. 1149-1159.
IEEE DOI 1903
Schedules, Optimization, Turning, Heuristic algorithms, Processor scheduling, Intelligent transportation systems, human-machine technique BibRef

Lin, N.N.[Nan-Nan], Ma, W.M.[Wei-Min], Chen, X.X.[Xiao-Xuan],
Bus frequency optimisation considering user behaviour based on mobile bus applications,
IET-ITS(13), No. 4, April 2019, pp. 596-604.
DOI Link 1903
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Babicheva, T.[Tatiana], Burghout, W.[Wilco], Andreasson, I.[Ingmar], Faul, N.[Nadege],
Empty vehicle redistribution and fleet size in autonomous taxi systems,
IET-ITS(13), No. 4, April 2019, pp. 677-682.
DOI Link 1903
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Expósito-Izquierdo, C.[Christopher], de Armas, J.[Jesica], Lalla-Ruiz, E.[Eduardo], Melián-Batista, B.[Belen], Moreno-Vega, J.M.[José Marcos],
Multi-stage approach for the transshipment of import containers at maritime container terminals,
IET-ITS(13), No. 4, April 2019, pp. 714-728.
DOI Link 1903
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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,
IET-ITS(13), No. 4, April 2019, pp. 729-737.
DOI Link 1903
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Li, D.[Dawei], 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.
DOI Link 1903
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Ji, B., Yuan, X., Yuan, Y.,
A Binary Borg-Based Heuristic Method for Solving a Multi-Objective Lock and Transshipment Co-Scheduling Problem,
ITS(20), No. 3, March 2019, pp. 947-958.
IEEE DOI 1903
Marine vehicles, Containers, Delays, Optimization, Cranes, Resource management, Evolutionary computation, Binary Borg, multi-objective optimization BibRef

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

Rahbar, M., Hickman, M., Mesbah, M., Tavassoli, A.,
Calibrating a Bayesian Transit Assignment Model Using Smart Card Data,
ITS(20), No. 4, April 2019, pp. 1574-1583.
IEEE DOI 1904
Bayes methods, Data models, Computational modeling, Sun, Uncertainty, Load modeling, Smart cards, Fare card data, prior knowledge, transit assignment models 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.
DOI Link 1906
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Dandl, F., Bogenberger, K.,
Comparing Future Autonomous Electric Taxis With an Existing Free-Floating Carsharing System,
ITS(20), No. 6, June 2019, pp. 2037-2047.
IEEE DOI 1906
Public transportation, Optimization, Autonomous vehicles, Vehicle dynamics, Companies, Urban areas, Autonomous taxis, relocation BibRef

Pritchard, R.[Ray], Frøyen, Y.[Yngve], Snizek, B.[Bernhard],
Bicycle Level of Service for Route Choice: A GIS Evaluation of Four Existing Indicators with Empirical Data,
IJGI(8), No. 5, 2019, pp. xx-yy.
DOI Link 1906
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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.
DOI Link 1906
Walking path where you are under shelter (passages, etc.) BibRef

Yang, S.[Shu], Ou, J.[Jishun], Feng, Y.H.[Yi-Heng], Wang, Y.[Yuan],
Freeway travel time estimation based on the general motors model: a genetic algorithm calibration framework,
IET-ITS(13), No. 7, July 2019, pp. 1154-1163.
DOI Link 1906
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Zhao, Y., Ioannou, P.A., Dessouky, M.M.,
Dynamic Multimodal Freight Routing Using a Co-Simulation Optimization Approach,
ITS(20), No. 7, July 2019, pp. 2657-2667.
IEEE DOI 1907
Routing, Transportation, Load modeling, Vehicle dynamics, Optimization, Rails, Containers, Freight routing, load balancing, multimodal transport BibRef

Irani, B., Wang, J., Chen, W.,
A Localizability Constraint-Based Path Planning Method for Autonomous Vehicles,
ITS(20), No. 7, July 2019, pp. 2593-2604.
IEEE DOI 1907
Path planning, Uncertainty, Autonomous vehicles, Covariance matrices, Planning, Navigation, Estimation, navigation BibRef

Lai, Y., Lv, Z., Li, K., Liao, M.,
Urban Traffic Coulomb's Law: A New Approach for Taxi Route Recommendation,
ITS(20), No. 8, August 2019, pp. 3024-3037.
IEEE DOI 1908
Public transportation, Vehicles, Trajectory, Roads, Global Positioning System, Heuristic algorithms, taxi trajectories BibRef

Guo, G., Wang, Q.,
Fuel-Efficient En Route Speed Planning and Tracking Control of Truck Platoons,
ITS(20), No. 8, August 2019, pp. 3091-3103.
IEEE DOI 1908
Planning, Roads, Stability analysis, Heuristic algorithms, Automobiles, Fuels, Drag, Vehicle platoon, en route planning, receding dynamic programming 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

Bao, J.[Jie], Yu, H.[Hao], Wu, J.[JiaMing],
Short-term FFBS demand prediction with multi-source data in a hybrid deep learning framework,
IET-ITS(13), No. 9, September 2019, pp. 1340-1347.
DOI Link 1908
Short-term demand of free-floating bike sharing. BibRef

Sharmila, R.B., Velaga, N.R.[Nagendra R.], Kumar, A.[Akhilesh],
SVM-based hybrid approach for corridor-level travel-time estimation,
IET-ITS(13), No. 9, September 2019, pp. 1429-1439.
DOI Link 1908
Multiple roads and routes in a transportation corridor. Cars and buses. 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

Papadopoulos, A., Kordonis, I., Dessouky, M., Ioannou, P.,
Coordinated Freight Routing With Individual Incentives for Participation,
ITS(20), No. 9, September 2019, pp. 3397-3408.
IEEE DOI 1909
Routing, Vehicles, Pricing, Planning, Roads, Games, Freight, load balancing, mechanism design, incentive compatibility, routing BibRef

Karimpour, A.[Abolfazl], Ariannezhad, A.[Amin], Wu, Y.J.[Yao-Jan],
Hybrid data-driven approach for truck travel time imputation,
IET-ITS(13), No. 10, October 2019, pp. 1518-1524.
DOI Link 1909
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Yu, J.J.Q., Yu, W., Gu, J.,
Online Vehicle Routing With Neural Combinatorial Optimization and Deep Reinforcement Learning,
ITS(20), No. 10, October 2019, pp. 3806-3817.
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

Zhao, B.[Bing], Teo, Y.S.[Yon Shin], Ng, W.S.[Wee Siong], Ng, H.H.[Hai Heng],
Data-driven next destination prediction and ETA improvement for urban delivery fleets,
IET-ITS(13), No. 11, November 2019, pp. 1624-1635.
DOI Link 1911
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Kim, M.[Mingu], Hong, S.[Seungwoo], Suh, I.H.[Il Hong],
Personalized Trip Planning Considering User Preferences and Environmental Variables with Uncertainty,
IEICE(E102-D), No. 11, November 2019, pp. 2195-2204.
WWW Link. 1912
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Sun, J.J.[Jun-Jie], Zhuang, C.Y.[Chen-Yi], Ma, Q.A.[Qi-Ang],
User Transition Pattern Analysis for Travel Route Recommendation,
IEICE(E102-D), No. 12, December 2019, pp. 2472-2484.
WWW Link. 1912
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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,
IJGI(8), No. 12, 2019, pp. xx-yy.
DOI Link 1912
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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,
IET-ITS(13), No. 12, December 2019, pp. 1754-1760.
DOI Link 1912
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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,
IET-ITS(13), No. 12, December 2019, pp. 1851-1859.
DOI Link 1912
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van Essen, J.T., Correia, G.H.A.,
Exact Formulation and Comparison Between the User Optimum and System Optimum Solution for Routing Privately Owned Automated Vehicles,
ITS(20), No. 12, December 2019, pp. 4567-4578.
IEEE DOI 2001
Automobiles, Routing, Urban areas, Automation, Mathematical model, Autonomous vehicles, integer linear programming, value of travel time BibRef

Li, X., Wang, Z., Gao, S., Hu, R., Zhu, Q., Wang, L.,
An Intelligent Context-Aware Management Framework for Cold Chain Logistics Distribution,
ITS(20), No. 12, December 2019, pp. 4553-4566.
IEEE DOI 2001
Logistics, Recommender systems, Risk management, Context-aware services, Refrigerators, Collaboration, cold chain logistics BibRef

Men, J.[Jinkun], Jiang, P.[Peng], Xu, H.[Huan], Zheng, S.[Song], Kong, Y.G.[Ya-Guang], Hou, P.Z.[Ping-Zhi], Wu, F.[Feng],
Robust multi-objective vehicle routing problem with time windows for hazardous materials transportation,
IET-ITS(14), No. 3, March 2020, pp. 154-163.
DOI Link 2003
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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,
ITS(21), No. 3, March 2020, pp. 1180-1190.
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, Microsoft Windows, Ship routing, variable neighborhood search algorithm BibRef

Cahyono, R.T., Flonk, E.J., Jayawardhana, B.,
Discrete-Event Systems Modeling and the Model Predictive Allocation Algorithm for Integrated Berth and Quay Crane Allocation,
ITS(21), No. 3, March 2020, pp. 1321-1331.
IEEE DOI 2003
Resource management, Marine vehicles, Cranes, Containers, Predictive models, Genetic algorithms, Mathematical model, marine transportation 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.
DOI Link 2003
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Typaldos, P., Papamichail, I., Papageorgiou, M.,
Minimization of Fuel Consumption for Vehicle Trajectories,
ITS(21), No. 4, April 2020, pp. 1716-1727.
IEEE DOI 2004
Fuels, Optimal control, Acceleration, Trajectory, Engines, Drag, Smoothing methods, Eco driving, fuel consumption, GLOSA BibRef

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

Zheng, Z.[Zilai], Morimoto, T.[Takehiro], Murayama, Y.[Yuji],
Optimal Location Analysis of Delivery Parcel-Pickup Points Using AHP and Network Huff Model: A Case Study of Shiweitang Sub-District in Guangzhou City, China,
IJGI(9), No. 4, 2020, pp. xx-yy.
DOI Link 2005
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Prokhorchuk, A., Dauwels, J., Jaillet, P.,
Estimating Travel Time Distributions by Bayesian Network Inference,
ITS(21), No. 5, May 2020, pp. 1867-1876.
IEEE DOI 2005
Global Positioning System, Estimation, Bayes methods, Public transportation, Trajectory, Data models, Bayesian network inference BibRef

Kordonis, I., Dessouky, M.M., Ioannou, P.A.,
Mechanisms for Cooperative Freight Routing: Incentivizing Individual Participation,
ITS(21), No. 5, May 2020, pp. 2155-2166.
IEEE DOI 2005
Vehicles, Roads, Fuels, Routing, Biological system modeling, Modeling, Stochastic processes, Freight, load balancing, mechanism design, routing BibRef

Latif, U.K.[Ummi Khaira], Shin, S.Y.[Soo Young],
OP-MR: the implementation of order picking based on mixed reality in a smart warehouse,
VC(36), No. 7, July 2020, pp. 1491-1500.
WWW Link. 2005
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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,
IET-ITS(14), No. 6, June 2020, pp. 511-522.
DOI Link 2005
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Krishnakumari, P., Cats, O., van Lint, H.,
Heuristic Coarsening for Generating Multiscale Transport Networks,
ITS(21), No. 6, June 2020, pp. 2240-2253.
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

Zhu, Y., He, Z., Sun, W.,
Network-Wide Link Travel Time Inference Using Trip-Based Data From Automatic Vehicle Identification Detectors,
ITS(21), No. 6, June 2020, pp. 2485-2495.
IEEE DOI 2006
Detectors, Estimation, Resource management, Probabilistic logic, Real-time systems, Task analysis, Stochastic processes, travel time allocation 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

Gundlegård, D.[David], Karlsson, J.M.[Johan M.],
Integrated tracking and route classification for travel time estimation based on cellular network signalling data,
IET-ITS(14), No. 9, September 2020, pp. 1087-1096.
DOI Link 2008
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
BibRef

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
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

Atyabi, S., Kiavarz Moghaddam, M., Rajabifard, A.,
Optimization of Emergency Evacuation in Fire Building By Integrated BIM and GIS,
SMPR19(131-139).
DOI Link 1912
BibRef

Cajucom, E.P., Chao Jr., G.Y., Constantino, G.A., Ejares, J.A., Quillope, S.J.G., Solomon, H.M., Ringor, C.L.,
Evaluation of The Spatial Distribution of Evacuation Centers in Metro Manila, Philippines,
Gi4DM19(79-85).
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

Jeon, I., Nam, H., Jun, C.,
Improved Public Transit Routing Algorithm for Finding the Shortest K-path,
GeoDisast18(255-264).
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

Naharudin, N., Ahamad, M.S.S., Sadullah, A.F.M.,
Optimizing Pedestrian-friendly Walking Path for the First And Last Mile Transit Journey By Using the Analytical Network Process (ANP) Decision Model and GIS Network Analysis,
GeoDisast17(137-144).
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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).
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Selala, M.K., Musakwa, W.,
The Potential Of Strava Data To Contribute In Non-motorised Transport (NMT) Planning In Johannesburg,
ISPRS16(B2: 587-594).
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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).
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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
Vehicle Systems, Transportation .

Last update:Sep 28, 2020 at 12:04:43