16.7.2.7.25 Transit Routing, Scheduling, Evaluation

Chapter Contents (Back)
Travel Time. Traffic. K Transit Routing. Routing. Path Planning.
See also Transit Traffic Analysis, Public Transit, Bus.

Barabino, B., di Francesco, M., Mozzoni, S.,
Regularity analysis on bus networks and route directions by automatic vehicle location raw data,
IET-ITS(7), No. 4, December 2013, pp. 473-480.
DOI Link 1402
vehicle routing BibRef

Zuo, X., Chen, C., Tan, W., Zhou, M.,
Vehicle Scheduling of an Urban Bus Line via an Improved Multiobjective Genetic Algorithm,
ITS(16), No. 2, April 2015, pp. 1030-1041.
IEEE DOI 1504
Bismuth BibRef

Racehorse, V.J., Zhang, G., Sussman, A., Jian, A., Parker, T.,
Bus rapid transit system deployment for high quality and cost-effective transit service: a comprehensive review and comparative analysis,
IET-ITS(9), No. 2, 2015, pp. 175-183.
DOI Link 1504
intelligent transportation systems BibRef

Moreira-Matias, L., Mendes-Moreira, J., de Sousa, J.F., Gama, J.,
Improving Mass Transit Operations by Using AVL-Based Systems: A Survey,
ITS(16), No. 4, August 2015, pp. 1636-1653.
IEEE DOI 1508
Companies BibRef

Huang, J., Tan, H.S.,
Control System Design of an Automated Bus in Revenue Service,
ITS(17), No. 10, October 2016, pp. 2868-2878.
IEEE DOI 1610
Control systems BibRef

Sebastiani, M.T., Lüders, R., Fonseca, K.V.O.,
Evaluating Electric Bus Operation for a Real-World BRT Public Transportation Using Simulation Optimization,
ITS(17), No. 10, October 2016, pp. 2777-2786.
IEEE DOI 1610
Batteries 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

Owais, M., Osman, M.K., Moussa, G.,
Multi-Objective Transit Route Network Design as Set Covering Problem,
ITS(17), No. 3, March 2016, pp. 670-679.
IEEE DOI 1603
Algorithm design and analysis BibRef

Lam, A.Y.S., Leung, Y.W., Chu, X.,
Autonomous-Vehicle Public Transportation System: Scheduling and Admission Control,
ITS(17), No. 5, May 2016, pp. 1210-1226.
IEEE DOI 1605
Admission control BibRef

Nuzzolo, A., Comi, A.,
Individual utility-based path suggestions in transit trip planners,
IET-ITS(10), No. 4, 2016, pp. 219-226.
DOI Link 1606
intelligent transportation systems BibRef

Yuan, S.X.[Shao-Xin], Wright, B.[Benjamin], Zou, Y.J.[Ya-Jie], 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

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

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

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

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

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

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

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

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
BibRef

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

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
BibRef

Wang, H.[Huan], Yang, X.[Xin], Wu, J.J.[Jian-Jun], Sun, H.J.[Hui-Jun], 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

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

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
BibRef

Pei, M.Y.[Ming-Yang], Lin, P.Q.[Pei-Qun], Liu, R.H.[Rong-Hui], Ma, Y.Y.[Ying-Ying],
Flexible transit routing model considering passengers' willingness to pay,
IET-ITS(13), No. 5, May 2019, pp. 841-850.
DOI Link 1906
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

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
BibRef

Weng, D., Chen, R., Zhang, J., Bao, J., Zheng, Y., Wu, Y.,
Pareto-Optimal Transit Route Planning With Multi-Objective Monte-Carlo Tree Search,
ITS(22), No. 2, February 2021, pp. 1185-1195.
IEEE DOI 2102
Planning, Search methods, Monte Carlo methods, Urban areas, Optimization, Estimation, Transportation, Transit route planning, heuristic search BibRef

Li, X., Wang, T., Xu, W., Hu, J.,
A Novel Model for Designing a Demand- Responsive Connector (DRC) Transit System With Consideration of Users' Preferred Time Windows,
ITS(22), No. 4, April 2021, pp. 2442-2451.
IEEE DOI 2104
Routing, Mathematical model, Heuristic algorithms, Connectors, Scheduling, Schedules, NP-hard problem, heuristic algorithm BibRef

Zhang, L., Chen, T., Yu, B., Wang, C.,
Suburban Demand Responsive Transit Service With Rental Vehicles,
ITS(22), No. 4, April 2021, pp. 2391-2403.
IEEE DOI 2104
Companies, Routing, Heuristic algorithms, Analytical models, Public transportation, Pricing, Contracts, branch-and-price algorithm BibRef

Wang, Z., Yu, J., Hao, W., Xiang, J.,
Joint Optimization of Running Route and Scheduling for the Mixed Demand Responsive Feeder Transit With Time-Dependent Travel Times,
ITS(22), No. 4, April 2021, pp. 2498-2509.
IEEE DOI 2104
Real-time systems, Optimization, Roads, Vehicle dynamics, Dynamic scheduling, Urban areas, Vehicle routing, Mixed demand, two-stage method BibRef

Guo, R., Zhang, W., Guan, W., Ran, B.,
Time-Dependent Urban Customized Bus Routing With Path Flexibility,
ITS(22), No. 4, April 2021, pp. 2381-2390.
IEEE DOI 2104
Routing, Roads, Planning, Load modeling, Genetic algorithms, Companies, Customized bus routing problem, traffic congestion, metaheuristic BibRef

Ma, C., Wang, C., Xu, X.,
A Multi-Objective Robust Optimization Model for Customized Bus Routes,
ITS(22), No. 4, April 2021, pp. 2359-2370.
IEEE DOI 2104
Public transportation, Urban areas, Optimization methods, Encoding, Genetic algorithms, Customized bus, robust model BibRef

Chen, X., Wang, Y., Ma, X.,
Integrated Optimization for Commuting Customized Bus Stop Planning, Routing Design, and Timetable Development With Passenger Spatial-Temporal Accessibility,
ITS(22), No. 4, April 2021, pp. 2060-2075.
IEEE DOI 2104
Optimization, Planning, Mathematical model, Urban areas, Routing, Transportation, Heuristic algorithms, Customized bus service, accessibility BibRef

Bucchiarone, A.[Antonio], de Sanctis, M.[Martina], Bencomo, N.[Nelly],
Agent-Based Framework for Self-Organization of Collective and Autonomous Shuttle Fleets,
ITS(22), No. 6, June 2021, pp. 3631-3643.
IEEE DOI 2106
Urban areas, Roads, Automobiles, Buildings, Planning, Autonomous vehicles, Transportation planning, self-organization, autonomous shuttles BibRef

Cao, J.F.[Jian-Fei], He, H.W.[Hong-Wen], Cui, X.[Xing],
City buses' future velocity prediction for multiple driving cycle: A meta supervised learning solution,
IET-ITS(15), No. 3, 2021, pp. 359-370.
DOI Link 2106
BibRef

Meng, X.L.[Xue-Lei], Wang, Y.H.[Ya-Hui], Xiang, W.L.[Wan-Li], Jia, L.M.[Li-Min],
An integrated model for train rescheduling and station track assignment,
IET-ITS(15), No. 1, 2021, pp. 17-30.
DOI Link 2106
BibRef

Chavhan, S.[Suresh], Gupta, D.[Deepak], Chandana., B.N., Chidambaram, R.K.[Ramesh Kumar], Khanna, A.[Ashish], Rodrigues, J.J.P.C.[Joel J. P. C.],
A Novel Emergent Intelligence Technique for Public Transport Vehicle Allocation Problem in a Dynamic Transportation System,
ITS(22), No. 8, August 2021, pp. 5389-5402.
IEEE DOI 2108
Urban areas, Resource management, Dynamic scheduling, Vehicle dynamics, Mathematical model, transportation system BibRef

Wu, X.T.[Xing-Tang], Dong, H.R.[Hai-Rong], Tse, C.K.[Chi K.],
Multi-Objective Timetabling Optimization for a Two-Way Metro Line Under Dynamic Passenger Demand,
ITS(22), No. 8, August 2021, pp. 4853-4863.
IEEE DOI 2108
Energy consumption, Optimization, Quality of service, Transportation, Planning, Safety, Metro train timetable, average waiting time BibRef

Cao, Z.G.[Zhi-Guang], Guo, H.L.[Hong-Liang], Song, W.[Wen], Gao, K.Z.[Kai-Zhou], Kang, L.J.[Liu-Jiang], Zhang, X.X.[Xue-Xi], Wu, Q.[Qilun],
Improving the Performance of Transportation Networks: A Semi-Centralized Pricing Approach,
ITS(22), No. 10, October 2021, pp. 6353-6364.
IEEE DOI 2110
Roads, Routing, Electric breakdown, Pricing, Vehicle dynamics, Urban areas, Traffic control, public transportation, path planning BibRef

Ma, J.F.[Jun-Feng], Ma, S.[Shan], Hu, W.F.[Wen-Feng], Peng, T.[Tao], Gui, W.H.[Wei-Hua],
Scheduling-measure dependent modelling of delay propagation on a single railway line: A matrix transformation approach,
IET-ITS(15), No. 11, 2021, pp. 1429-1439.
DOI Link 2110
delay propagation, max-plus algebra, matrix transformation, train delays BibRef

Peng, J.D.[Jian-Dong], Cui, C.W.[Chang-Wei], Qi, J.J.[Jia-Jie], Ruan, Z.[Zehan], Dai, Q.[Qi], Yang, H.[Hong],
The Evolvement of Rail Transit Network Structure and Impact on Travel Characteristics: A Case Study of Wuhan,
IJGI(10), No. 11, 2021, pp. xx-yy.
DOI Link 2112
BibRef

Cheng, L.[Linna], Zhu, C.F.[Chang-Feng], Wang, Q.R.[Qing-Rong], Wang, W.X.[Wen-Xian], Zhang, Z.K.[Zheng-Kun], Sun, W.J.[Wen-Jun],
Skip-stop operation plan for urban rail transit considering bounded rationality of passengers,
IET-ITS(16), No. 1, 2022, pp. 24-40.
DOI Link 2112
BibRef

Droj, G.[Gabriela], Droj, L.[Laurentiu], Badea, A.C.[Ana-Cornelia],
GIS-Based Survey over the Public Transport Strategy: An Instrument for Economic and Sustainable Urban Traffic Planning,
IJGI(11), No. 1, 2022, pp. xx-yy.
DOI Link 2201
BibRef

Li, T.T.[Ting-Ting], Xu, W.[Wangtu],
Multiperiod Location Models for Urban System Planning With Fuzzy Intercity Passenger Transportation Demands,
Cyber(52), No. 1, January 2022, pp. 459-471.
IEEE DOI 2201
Urban areas, Rail transportation, Planning, Uncertainty, Gold, Rails, Facility location, fuzzy set theory, mathematical programming, urban system BibRef

Wang, Z.H.[Zhi-Huan], Meng, C.G.[Chen-Guang], Yao, M.Y.[Meng-Yuan], Claramunt, C.[Christophe],
Modelling the Risk of Imported COVID-19 Infections at Maritime Ports Based on the Mobility of International-Going Ships,
IJGI(11), No. 1, 2022, pp. xx-yy.
DOI Link 2201
BibRef

Goswami, P.[Pratik], Mukherjee, A.[Amrit], Hazra, R.[Ranjay], Yang, L.X.[Li-Xia], Ghosh, U.[Uttam], Qi, Y.N.[Yi-Nan], Wang, H.J.[Hong-Jin],
AI Based Energy Efficient Routing Protocol for Intelligent Transportation System,
ITS(23), No. 2, February 2022, pp. 1670-1679.
IEEE DOI 2202
Wireless sensor networks, Clustering algorithms, Routing, Neural networks, Routing protocols, Simulation, Internet of Things, energy efficient network BibRef

Liu, K.J.[Kai-Jun], Liu, J.M.[Jian-Ming], Zhang, J.W.[Jing-Wei],
Heuristic approach for the multiobjective optimization of the customized bus scheduling problem,
IET-ITS(16), No. 3, 2022, pp. 277-291.
DOI Link 2202
BibRef

Cai, Z.[Zhi], Wang, J.W.[Jia-Wei], Li, T.[Tong], Yang, B.W.[Bo-Wen], Su, X.[Xing], Guo, L.M.[Li-Min], Ding, Z.M.[Zhi-Ming],
A Novel Trajectory Based Prediction Method for Urban Subway Design,
IJGI(11), No. 2, 2022, pp. xx-yy.
DOI Link 2202
BibRef

Wu, J.Q.[Jian-Qing], Wang, Y.H.[Yi-Hui], Du, B.[Bo], Wu, Q.[Qiang], Zhai, Y.L.[Yan-Long], Shen, J.[Jun], Zhou, L.P.[Lu-Ping], Cai, C.[Chen], Wei, W.[Wei], Zhou, Q.G.[Qing-Guo],
The Bounds of Improvements Toward Real-Time Forecast of Multi-Scenario Train Delays,
ITS(23), No. 3, March 2022, pp. 2445-2456.
IEEE DOI 2203
Delays, Predictive models, Resilience, Real-time systems, Time series analysis, Prediction algorithms, Random forests, general transit feed specification BibRef

Zhang, D.[Dalin], Peng, Y.[Yunjuan], Zhang, Y.[Yumei], Wu, D.[Daohua], Wang, H.W.[Hong-Wei], Zhang, H.L.[Hai-Long],
Train Time Delay Prediction for High-Speed Train Dispatching Based on Spatio-Temporal Graph Convolutional Network,
ITS(23), No. 3, March 2022, pp. 2434-2444.
IEEE DOI 2203
Delays, Predictive models, Rail transportation, Dispatching, Mathematical model, Data models, Analytical models, collective cumulative effect BibRef

Tan, Y.Y.[Yu-Yan], Li, Y.[Yibo], Wang, R.[Ruxin], Mi, X.[Xiwei], Li, Y.X.[Ya-Xuan], Zheng, H.[Hao], Ke, Y.[Yu], Wang, Y.[Yan],
Improving Synchronization in High-Speed Railway and Air Intermodality: Integrated Train Timetable Rescheduling and Passenger Flow Forecasting,
ITS(23), No. 3, March 2022, pp. 2651-2667.
IEEE DOI 2203
Predictive models, Rail transportation, Atmospheric modeling, Data models, Synchronization, Forecasting, Optimization, factorization-machine based neural network BibRef

Hulagu, S.[Selin], Celikoglu, H.B.[Hilmi Berk],
Environment-Friendly School Bus Routing Problem With Heterogeneous Fleet: A Large-Scale Real Case,
ITS(23), No. 4, April 2022, pp. 3461-3471.
IEEE DOI 2204
Routing, Urban areas, Fuels, Vehicle routing, Air pollution, Optimization, Transportation, Road transportation, optimization BibRef

Gkiotsalitis, K.[Konstantinos], Cats, O.[Oded],
Timetable Recovery After Disturbances in Metro Operations: An Exact and Efficient Solution,
ITS(23), No. 5, May 2022, pp. 4075-4085.
IEEE DOI 2205
Dispatching, Real-time systems, Mathematical model, Schedules, Intelligent transportation systems, Sequential analysis, Routing, regularity-based services BibRef

Wei, Y.Y.[Yuan-Yuan], Jiang, N.[Nan], Li, Z.W.[Zi-Wei], Zheng, D.D.[Dong-Dong], Chen, M.J.[Min-Jie], Zhang, M.M.[Miao-Miao],
An Improved Ant Colony Algorithm for Urban Bus Network Optimization Based on Existing Bus Routes,
IJGI(11), No. 5, 2022, pp. xx-yy.
DOI Link 2206
BibRef

Hussain, E.[Etikaf], Behara, K.N.S.[Krishna N. S.], Bhaskar, A.[Ashish], Chung, E.[Edward],
A Framework for the Comparative Analysis of Multi-Modal Travel Demand: Case Study on Brisbane Network,
ITS(23), No. 7, July 2022, pp. 8126-8135.
IEEE DOI 2207
Automobiles, Bluetooth, Smart cards, Sociology, Australia, Systematics, Intelligent transportation systems, Bluetooth data, car demand, transit service improvement BibRef

Lyu, C.[Cheng], Wu, X.H.[Xin-Hua], Liu, Y.[Yang], Liu, Z.Y.[Zhi-Yuan],
A Partial-Fréchet-Distance-Based Framework for Bus Route Identification,
ITS(23), No. 7, July 2022, pp. 9275-9280.
IEEE DOI 2207
Trajectory, Global Positioning System, Urban areas, Hidden Markov models, Databases, Roads, Transportation, DBSCAN BibRef

Dai, W.B.[Wei-Bin], Wandelt, S.[Sebastian], Zhang, J.[Jun], Sun, X.Q.[Xiao-Qian],
Capacitated Air/Rail Hub Location Problem With Uncertainty: A Model, Efficient Solution Algorithm, and Case Study,
ITS(23), No. 7, July 2022, pp. 8451-8466.
IEEE DOI 2207
Atmospheric modeling, Uncertainty, Rails, Resource management, Linear programming, Iterative algorithms, Logistics, heuristic BibRef

Seman, L.O.[Laio Oriel], Koehler, L.A.[Luiz Alberto], Camponogara, E.[Eduardo], Zimmermann, L.[Lucas],
Generalized Auto-Sequencing Bus Headway Control Formulation,
ITS(23), No. 7, July 2022, pp. 6460-6472.
IEEE DOI 2207
Real-time systems, Mathematical model, Indexes, Analytical models, Reliability, Mathematical programming, Iterative methods, holding control BibRef

Gao, C.[Chao], Fan, Y.[Yi], Jiang, S.H.[Shi-Hong], Deng, Y.[Yue], Liu, J.M.[Ji-Ming], Li, X.H.[Xiang-Hua],
Dynamic Robustness Analysis of a Two-Layer Rail Transit Network Model,
ITS(23), No. 7, July 2022, pp. 6509-6524.
IEEE DOI 2207
Rails, Robustness, Power system protection, Power system faults, Load modeling, Public transportation, Analytical models, dynamic BibRef

Baykal-Gürsoy, M.[Melike], Benton, A.R.[Andrew Reed], Gerum, P.C.L.[Pedro Cesar Lopes], Candia, M.F.[Marcelo Figueroa],
How Random Incidents Affect Travel-Time Distributions,
ITS(23), No. 8, August 2022, pp. 13000-13010.
IEEE DOI 2208
Analytical models, Transforms, Time measurement, Degradation, Random variables, Quality of service, Markov processes, Markov modulated service BibRef

Mei, J.[Jie], Wang, X.B.[Xian-Bin], Zheng, K.[Kan],
Semi-Decentralized Network Slicing for Reliable V2V Service Provisioning: A Model-Free Deep Reinforcement Learning Approach,
ITS(23), No. 8, August 2022, pp. 12108-12120.
IEEE DOI 2208
Network slicing, Quality of service, Resource management, Sensors, Mathematical model, Vehicular ad hoc networks, Vehicle dynamics, deep reinforcement learning BibRef

Artan, M.S.[Mehmet Sirin], Sahin, I.[Ismail],
Exploring Patterns of Train Delay Evolution and Timetable Robustness,
ITS(23), No. 8, August 2022, pp. 11205-11214.
IEEE DOI 2208
Delays, Rail transportation, Markov processes, Predictive models, Robustness, Biological system modeling, Data models, timetable robustness BibRef

Wang, L.[Lina], Li, X.[Xiang], Ding, L.F.[Lin-Fang], Yu, X.[Xinkai], Hu, T.[Tao],
Visualization and Analysis of Transport Accessibility Changes Based on Time Cartograms,
IJGI(11), No. 8, 2022, pp. xx-yy.
DOI Link 2209
BibRef

Rodriguez-Deniz, H.[Hector], Villani, M.[Mattias],
Robust Real-Time Delay Predictions in a Network of High-Frequency Urban Buses,
ITS(23), No. 9, September 2022, pp. 16304-16317.
IEEE DOI 2209
Predictive models, Uncertainty, Real-time systems, Spatiotemporal phenomena, Delays, Data models, Probabilistic logic, robustness BibRef

Lin, H.F.[Hai-Feng], Tang, C.[Chengpei],
Analysis and Optimization of Urban Public Transport Lines Based on Multiobjective Adaptive Particle Swarm Optimization,
ITS(23), No. 9, September 2022, pp. 16786-16798.
IEEE DOI 2209
Optimization, Particle swarm optimization, Transportation, Dispatching, Standards, Sorting, Scheduling, Pareto optimal solution set BibRef

Bachmann, F.R.[Frederik R.], Briem, L.[Lars], Busch, F.[Fritz], Vortisch, P.[Peter],
Dynamics and Processes in Operations Control Centers in Urban Public Transport: Potentials for Improvement,
ITS(23), No. 10, October 2022, pp. 17819-17834.
IEEE DOI 2210
Reliability, Planning, Interviews, Dispatching, Vehicle dynamics, Optimization, Vehicles, Disruptions, incident management, public transportation BibRef

Xie, J.[Jiemin], Zhan, S.G.[Shu-Guang], Wong, S.C.[Sze Chun], Lo, S.M.[Siu Ming],
A Schedule-Based Model for Passenger-Oriented Train Planning With Operating Cost and Capacity Constraints,
ITS(23), No. 11, November 2022, pp. 21314-21328.
IEEE DOI 2212
Costs, Planning, Modeling, Load modeling, Iterative methods, Scheduling, Vehicle dynamics, Schedule-based, train planning, decomposition approach BibRef

Zhang, J.L.[Jin-Lei], Chen, F.[Feng], Yang, L.X.[Li-Xing], Ma, W.[Wei], Jin, G.Y.[Guang-Yin], Gao, Z.Y.[Zi-You],
Network-Wide Link Travel Time and Station Waiting Time Estimation Using Automatic Fare Collection Data: A Computational Graph Approach,
ITS(23), No. 11, November 2022, pp. 21034-21049.
IEEE DOI 2212
Estimation, Data models, Public transportation, Computational modeling, Rails, Legged locomotion, Tensors, computational graph model BibRef

He, P.[Peilan], Jiang, G.Y.[Gui-Yuan], Lam, S.K.[Siew-Kei], Sun, Y.[Yidan], Ning, F.X.[Fang-Xin],
Exploring Public Transport Transfer Opportunities for Pareto Search of Multicriteria Journeys,
ITS(23), No. 12, December 2022, pp. 22895-22908.
IEEE DOI 2212
Planning, Computational modeling, Search problems, Urban areas, Legged locomotion, Routing, Roads, Journey planning, transfer graph BibRef

Di, Z.[Zhen], Wang, D.Z.W.[David Z.W.], Yang, L.X.[Li-Xing],
Optimal Operation Strategies for the Bus-Mode Operation of Intercity High-Speed Rail Service: A Novel Ticketing/Exchanging Mechanism,
ITS(23), No. 12, December 2022, pp. 23583-23596.
IEEE DOI 2212
Rail transportation, Behavioral sciences, Rails, Stochastic processes, Programming, Pricing, Heuristic algorithms, heterogeneous passengers BibRef

Lai, Y.X.[Yong-Xuan], Yang, F.[Fan], Meng, G.[Ge], Lu, W.[Wei],
Data-Driven Flexible Vehicle Scheduling and Route Optimization,
ITS(23), No. 12, December 2022, pp. 23099-23113.
IEEE DOI 2212
Public transportation, Job shop scheduling, Schedules, Optimization, Costs, Data models, Routing, Flexible transit system, mixed-integer linear programming BibRef

Rong, Y.C.[Yue-Cheng], Xu, Z.M.[Zhi-Mian], Liu, J.[Jun], Liu, H.[Hao], Ding, J.[Jian], Liu, X.Y.[Xuan-Yu], Luo, W.[Wei], Zhang, C.M.[Chuan-Ming], Gao, J.X.[Jia-Xiang],
Du-Bus: A Realtime Bus Waiting Time Estimation System Based On Multi-Source Data,
ITS(23), No. 12, December 2022, pp. 24524-24539.
IEEE DOI 2212
Estimation, Schedules, Global Positioning System, Web and internet services, Urban areas, Public transportation, LSTM BibRef

Delgado, F.[Felipe],
Dynamic Multiline Vehicle Dispatching Strategy in Transit Operations,
ITS(23), No. 12, December 2022, pp. 24918-24928.
IEEE DOI 2212
Dispatching, Real-time systems, Vehicle dynamics, Optimization, Bibliographies, Vehicles, Time-frequency analysis, bus dispatching control BibRef

Wu, Y.L.[Yue-Lin], Yuan, Z.Z.[Zhen-Zhou], Xiao, Q.Y.[Qing-Yu], Yang, D.[Dong],
Customized bus scheme design of large transport terminals with jointly optimization of departure time, vehicle allocation and routing,
IET-ITS(17), No. 1, 2023, pp. 85-101.
DOI Link 2301
BibRef

Wang, Z.R.[Zhong-Ru], Xie, X.Z.[Xin-Zhou], Chen, L.[Lei], Song, S.[Shouyou], Wang, Z.J.[Zhong-Jie],
Intrusion Detection and Network Information Security Based on Deep Learning Algorithm in Urban Rail Transit Management System,
ITS(24), No. 2, February 2023, pp. 2135-2143.
IEEE DOI 2302
Rails, Intrusion detection, Security, Safety, Public transportation, Analytical models, Operating systems, Urban rail transit, deep convolutional neural networks BibRef

Yu, M.[Miao],
Construction of Regional Intelligent Transportation System in Smart City Road Network via 5G Network,
ITS(24), No. 2, February 2023, pp. 2208-2216.
IEEE DOI 2302
Roads, 5G mobile communication, Smart cities, Transportation, Real-time systems, Prediction algorithms, AlexNet network BibRef

Xu, A.[Aikun], Zhong, P.[Ping], Kang, Y.L.[Yi-Lin], Duan, J.Q.[Jiong-Qiang], Wang, A.[Anning], Lu, M.M.[Ming-Ming], Shi, C.[Chuan],
THAN: Multimodal Transportation Recommendation With Heterogeneous Graph Attention Networks,
ITS(24), No. 2, February 2023, pp. 1533-1543.
IEEE DOI 2302
Transportation, Public transportation, Navigation, Graph neural networks, Web and internet services, Trajectory, heterogeneous BibRef

Liu, X.Y.[Xiao-Yu], Dabiri, A.[Azita], Wang, Y.H.[Yi-Hui], de Schutter, B.[Bart],
Modeling and Efficient Passenger-Oriented Control for Urban Rail Transit Networks,
ITS(24), No. 3, March 2023, pp. 3325-3338.
IEEE DOI 2303
Rails, Real-time systems, Rail transportation, Computational modeling, Optimization, Processor scheduling, Delays, time-dependent passenger origin-destination demand BibRef

Wang, J.W.[Jia-Wei], Sun, L.J.[Li-Jun],
Robust Dynamic Bus Control: a Distributional Multi-Agent Reinforcement Learning Approach,
ITS(24), No. 4, April 2023, pp. 4075-4088.
IEEE DOI 2304
Reinforcement learning, Uncertainty, Real-time systems, Sun, Vehicle dynamics, Robustness, Adaptation models, Bus bunching, meta-learning BibRef

Li, X.F.[Xiao-Feng], Cottam, A.[Adrian], Wu, Y.J.[Yao-Jan],
Transit Arrival Time Prediction Using Interaction Networks,
ITS(24), No. 4, April 2023, pp. 3833-3844.
IEEE DOI 2304
Real-time systems, Predictive models, Global Positioning System, Data models, Soft sensors, Roads, Delays, Transit arrival time, interaction network BibRef

Hu, S.R.[Shao-Rong], Zhang, Y.Q.[Yu-Qi], Jin, Y.F.[Yue-Fei], Dou, Z.Q.[Zi-Qi],
Dynamic Evolution Simulation of Bus Bunching Affected by Traffic Operation State,
IEICE(E106-D), No. 5, May 2023, pp. 746-755.
WWW Link. 2305
BibRef

Yin, J.T.[Jia-Teng], Ren, X.L.[Xian-Liang], Su, S.[Shuai], Yan, F.[Fei], Tao, T.[Tang],
Resilience-Oriented Train Rescheduling Optimization in Railway Networks: A Mixed Integer Programming Approach,
ITS(24), No. 5, May 2023, pp. 4948-4961.
IEEE DOI 2305
Rails, Resilience, Rail transportation, Numerical models, Computational modeling, Optimization, Real-time systems, mixed-integer linear programming BibRef

Song, T.[Taoran], Schonfeld, P.[Paul], Pu, H.[Hao],
A Review of Alignment Optimization Research for Roads, Railways and Rail Transit Lines,
ITS(24), No. 5, May 2023, pp. 4738-4757.
IEEE DOI 2305
Optimization, Rail transportation, Computational modeling, Mathematical models, Rails, Roads, Biological system modeling, geometric recreation BibRef

Wang, E.[Enshu], Liu, B.Y.[Bing-Yi], Lin, S.R.[Song-Rong], Shen, F.[Feng], Bao, T.Y.[Tian-Yu], Zhang, J.[Jun], Wang, J.P.[Jian-Ping], Sadek, A.W.[Adel W.], Qiao, C.M.[Chun-Ming],
Double Graph Attention Actor-Critic Framework for Urban Bus-Pooling System,
ITS(24), No. 5, May 2023, pp. 5313-5325.
IEEE DOI 2305
Public transportation, Decision making, Reinforcement learning, Games, Delays, Urban areas, Training, Urban bus system, multi-agent reinforcement learning BibRef

Jing, D.[Dian], Yao, E.[Enjian], Chen, R.[Rongsheng], Sun, X.[Xun],
Optimal design method of public transit network considering transfer efficiency,
IET-ITS(17), No. 6, 2023, pp. 1118-1136.
DOI Link 2307
Mandl's benchmark problem, non-dominated sorted genetic algorithm, transfer efficiency, urban transit routing problem BibRef

Wang, C.[Chen], Zhao, S.J.[Si-Jia], Ren, Z.Q.[Zong-Qiang], Long, Q.[Qi],
Place-Centered Bus Accessibility Time Series Classification with Floating Car Data: An Actual Isochrone and Dynamic Time Warping Distance-Based k-Medoids Method,
IJGI(12), No. 7, 2023, pp. xx-yy.
DOI Link 2308
BibRef

Franco, P.[Patrizia], Kaba, D.[Djibril], Close, S.[Steve], Jundi, S.[Shyma],
Introduction of emerging mobility services in rural areas through the use of mobile network data combined with activity-based travel demand modelling,
IET-ITS(17), No. 8, 2023, pp. 1509-1524.
DOI Link 2309
data acquisition, data analysis, data mining, decision making, human factors, multi-agent systems, smart phones BibRef

Lai, Q.Y.[Qing-Ying], Liu, J.[Jun], Guo, S.D.[Shu-Dong], Shi, X.L.[Xian-Liang], Zhao, C.[Chen], Ju, M.[Miaoyu],
Energy-efficient train timetabling for a medium-speed maglev line considering propulsion and suspension energy consumption,
IET-ITS(17), No. 9, 2023, pp. 1860-1878.
DOI Link 2310
energy consumption, optimal control, traffic management and control, transportation BibRef

Deveci, M.[Muhammet], Pamucar, D.[Dragan], Gokasar, I.[Ilgin], Pedrycz, W.[Witold], Wen, X.[Xin],
Autonomous Bus Operation Alternatives in Urban Areas Using Fuzzy Dombi-Bonferroni Operator Based Decision Making Model,
ITS(24), No. 12, December 2023, pp. 15714-15723.
IEEE DOI 2312
BibRef

Lee, E.[Enoch], Lo, H.K.[Hong K.], Li, M.[Manzi],
Optimal Zonal Design for Flexible Bus Service Under Spatial and Temporal Demand Uncertainty,
ITS(25), No. 1, January 2024, pp. 251-262.
IEEE DOI 2402
Stochastic processes, Vehicle dynamics, Uncertainty, Pricing, Costs, Routing, Dynamic scheduling, Demand responsive transit, zoning BibRef

Shafiei, S.[Sajjad], Dia, H.[Hussein], Wu, W.[Wen], Grzybowska, H.[Hanna], Qin, A.K.,
An Agent-Based Simulation Approach for Urban Road Pricing Considering the Integration of Autonomous Vehicles With Public Transport,
ITS(25), No. 2, February 2024, pp. 1364-1373.
IEEE DOI 2402
Roads, Pricing, Costs, Autonomous vehicles, Australia, Urban areas, Delays, Autonomous vehicles, road network pricing, public transport patronage BibRef

Song, C.Y.[Cui-Ying], Wang, H.L.[He-Ling], Chen, L.[Lu], Niu, X.Q.[Xue-Qin],
An optimized two-phase demand-responsive transit scheduling model considering dynamic demand,
IET-ITS(18), No. 5, 2024, pp. 853-871.
DOI Link 2405
management and control, mobility as a service, public transport, road traffic, roads, traffic management, transportation BibRef

Din, T.[Tajud], Tian, Z.B.[Zhong-Bei], Bukhari, S.M.A.M.[Syed Muhammad Ali Mansur], Din, M.[Misbahud], Hillmansen, S.[Stuart], Roberts, C.[Clive],
Prediction of the optimal hybrid train trajectory by using artificial neural network models,
IET-ITS(18), No. 5, 2024, pp. 835-852.
DOI Link 2405
rail transportation, railway electrification, railway rolling stock, railways BibRef

Liu, X.Y.[Xiao-Yu], Dabiri, A.[Azita], Wang, Y.H.[Yi-Hui], de Schutter, B.[Bart],
Real-Time Train Scheduling With Uncertain Passenger Flows: A Scenario-Based Distributed Model Predictive Control Approach,
ITS(25), No. 5, May 2024, pp. 4219-4232.
IEEE DOI 2405
Rails, Processor scheduling, Real-time systems, Rail transportation, Uncertainty, Predictive control, scenario approach BibRef

Xu, J.[Jing], Deng, L.[Lianbo], Hu, X.L.[Xin-Lei], Wang, Q.[Qing], Zhang, Y.[Ying],
Joint Optimization of Multistage Pricing and Seat Allocation for High-Speed Railways Integrating Pre-Sale Period Division,
ITS(25), No. 5, May 2024, pp. 4398-4412.
IEEE DOI 2405
Pricing, Resource management, Rail transportation, Optimization methods, Transportation, Fluctuations, Costs, seat allocation BibRef

Huang, X.L.[Xin-Long], Hu, S.[Simon], Wang, W.[Wei], Kaparias, I.[Ioannis], Zhong, S.P.[Shao-Peng], Na, X.X.[Xiao-Xiang], Bell, M.G.[Michael GH], Lee, D.H.[Der-Horng],
Identifying Critical Links in Urban Transportation Networks Based on Spatio-Temporal Dependency Learning,
ITS(25), No. 6, June 2024, pp. 5583-5597.
IEEE DOI 2406
Transportation, Roads, Convolution, Measurement, Urban areas, Indexes, Robustness, Critical links, graph neural networks, LSTM, urban transportation network BibRef

Liu, Z.[Zhen], Pan, J.S.[Jin-Shan], Yang, Y.H.[Yu-Hua], Chi, X.[Xinyi],
An energy-efficient timetable optimization method for express/local train with on-board passenger number considered,
IET-ITS(18), No. 6, 2024, pp. 1068-1088.
DOI Link 2406
energy conservation, rail transportation BibRef

Zhang, H.[Huiru], Jia, L.M.[Li-Min], Wang, L.[Li], Xu, X.Y.[Xin-Yue], Dou, F.[Fei],
Energy-Efficient Timetable Optimization Empowered by Time-Energy Pareto Solution Under Actual Line Conditions,
ITS(25), No. 7, July 2024, pp. 7106-7124.
IEEE DOI 2407
Energy efficiency, Optimization, Energy consumption, Optimal control, Rail transportation, Mathematical models, Pareto solution BibRef

Tian, X.P.[Xiao-Peng], Niu, H.M.[Hui-Min],
Optimizing Train Timetable Under Oversaturated Demand Conditions: A Variable-Splitting Lagrangian Approach for Big-M Constraints,
ITS(25), No. 7, July 2024, pp. 7265-7280.
IEEE DOI 2407
Rail transportation, Heuristic algorithms, Schedules, Rails, Integer linear programming, Transportation, Transforms, Lagrangian relaxation BibRef

Wu, P.[Pan], Pei, M.Y.[Ming-Yang], Wang, T.[Tao], Liu, Y.[Yang], Liu, Z.Y.[Zhi-Yuan], Zhong, L.[Lingshu],
A Low-Rank Bayesian Temporal Matrix Factorization for the Transfer Time Prediction Between Metro and Bus Systems,
ITS(25), No. 7, July 2024, pp. 7206-7222.
IEEE DOI 2407
Predictive models, Public transportation, Data models, Time series analysis, Spatiotemporal phenomena, high-dimensional transfer time BibRef

Wu, B.L.[Bing-Lin], Zuo, X.Q.[Xing-Quan], Zhou, M.C.[Meng-Chu], Wan, X.[Xing], Zhao, X.C.[Xin-Chao], Yang, S.[Senyan],
A Multi-Objective Ant Colony System-Based Approach to Transit Route Network Adjustment,
ITS(25), No. 7, July 2024, pp. 7878-7892.
IEEE DOI 2407
Optimization, Genetic algorithms, Urban areas, Telecommunications, Search problems, Companies, Measurement, Public transportation, multi-objective optimization BibRef

Wang, F.Y.[Fei-Yang], Zuo, X.Q.[Xing-Quan], Wu, B.[Binglin], Zhou, M.C.[Meng-Chu], Wan, X.[Xing], Liu, Y.[Yahong], Zhao, X.C.[Xin-Chao],
Millisecond-Scale Real-Time Scheduling of Buses: A Controller-Based Approach,
ITS(25), No. 7, July 2024, pp. 7893-7906.
IEEE DOI 2407
Real-time systems, Dynamic scheduling, Schedules, Heuristic algorithms, Traffic congestion, Vehicle dynamics, Delays, particle swarm optimization BibRef

Wang, X.W.[Xiao-Wen], Zhang, Z.[Zipei], Wang, Q.Y.[Qing-Yuan], Sun, P.F.[Peng-Fei], Feng, X.Y.[Xiao-Yun],
Real-time multi-objective speed planning ATO considering assist driving for subway,
IET-ITS(18), No. 7, 2024, pp. 1272-1288.
DOI Link 2407
automated driving and intelligent vehicles, energy conservation, transportation BibRef

Lai, Y.[Yuanwen], Liang, J.H.[Jian-Hong], Rao, Y.[Yinsheng], Fan, Y.H.[Yan-Hui], Zhan, R.[Renyan], Easa, S.[Said], Wang, S.Y.[Shu-Yi],
Flexible optimal bus-schedule bridging for metro operation-interruption,
IET-ITS(18), No. 7, 2024, pp. 1306-1323.
DOI Link 2407
emergency services, public transport, railway safety BibRef

Li, J.M.[Jian-Min], Xu, X.Y.[Xin-Yue], Ding, X.[Xin], Liu, J.[Jun], Ran, B.[Bin],
Bayesian Spatio-Temporal Graph Convolutional Network for Railway Train Delay Prediction,
ITS(25), No. 7, July 2024, pp. 8193-8208.
IEEE DOI 2407
Delays, Predictive models, Data models, Mathematical models, Rail transportation, Bayes methods, Analytical models, graph convolution network BibRef

Zhang, Y.S.[Yong-Sheng], Liang, K.[Kangyu], Yao, E.[Enjian], Gu, M.Y.[Ming-Yi],
Measuring Reliable Accessibility to High-Speed Railway Stations by Integrating the Utility-Based Model and Multimodal Space-Time Prism under Travel Time Uncertainty,
IJGI(13), No. 8, 2024, pp. 263.
DOI Link 2408
BibRef

Chávez-Hernández, M.V.[María Victoria], Leija-Hernández, M.G.[Mayra Guadalupe], Ibarra-Rojas, O.J.[Omar Jorge],
Timetabling Problems With Holding Decisions and Fuzzy Synchronization Functions,
ITS(25), No. 9, September 2024, pp. 11058-11067.
IEEE DOI 2409
Synchronization, Optimization, Public transportation, Planning, Costs, Urban areas, Time-frequency analysis, Transport systems, integer programming BibRef

Hao, H.[He], Yao, E.[Enjian], Chen, R.S.[Rong-Sheng], Pan, L.[Long], Wang, Y.[Yue],
Dynamic Passenger Route Guidance in the Multimodal Transit System with Graph Representation and Attention Based Deep Reinforcement Learning,
ITS(25), No. 10, October 2024, pp. 13204-13216.
IEEE DOI 2410
Heuristic algorithms, Vehicle dynamics, Prediction algorithms, Urban areas, Convolutional neural networks, Training, Schedules, adaptive operation strategies BibRef

Kang, L.J.[Liu-Jiang], Buhigiro, N.[Nsabimana], Sun, H.J.[Hui-Jun], Wu, J.J.[Jian-Jun],
A Critical Review of Subway Train Timetabling and Rescheduling Problems,
ITS(25), No. 10, October 2024, pp. 12930-12942.
IEEE DOI 2410
Public transportation, Computational modeling, Stakeholders, Mathematical models, Reviews, Rail transportation, Microscopy, train rescheduling BibRef

Agarwal, P.[Prateek], Rambha, T.[Tarun],
Scalable Algorithms for Bicriterion Trip-Based Transit Routing,
ITS(25), No. 10, October 2024, pp. 14313-14327.
IEEE DOI 2410
Partitioning algorithms, Routing, Heuristic algorithms, Roads, Terminology, Reviews, Optimization, Transit routing, shortest paths, hypergraph partitioning BibRef

Guo, X.T.[Xiao-Tong], Mo, B.[Baichuan], Koutsopoulos, H.N.[Haris N.], Wang, S.[Shenhao], Zhao, J.H.[Jin-Hua],
Robust Transit Frequency Setting Problem With Demand Uncertainty,
ITS(25), No. 10, October 2024, pp. 13305-13322.
IEEE DOI 2410
Uncertainty, Schedules, Stochastic processes, Optimization, Urban areas, Computational modeling, Benchmark testing, dimensionality reduction BibRef

Zhang, D.[Dalin], Du, C.[Chenyue], Peng, Y.[Yunjuan], Liu, J.Q.[Ji-Qiang], Mohammed, S.[Sabah], Calvi, A.[Alessandro],
A Multi-Source Dynamic Temporal Point Process Model for Train Delay Prediction,
ITS(25), No. 11, November 2024, pp. 17865-17877.
IEEE DOI 2411
Delays, Predictive models, Rail transportation, Data models, Long short term memory, Meteorology, Computational modeling, spatio-temporal dependence BibRef

Gao, T.Z.[Tian-Ze], Chen, J.H.[Jun-Hua], Xu, H.[Huizhang],
Data-driven train delay prediction incorporating dispatching commands: An XGBoost-metaheuristic framework,
IET-ITS(18), No. 10, 2024, pp. 1777-1796.
DOI Link 2411
rail transportation, train delay, prediction theory, data mining, feature extraction BibRef

Shu, K.Q.[Ke-Qi], Alghooneh, A.R.[Ahmad Reza], Ning, M.H.[Ming-Hao], Li, S.[Shen], Pirani, M.[Mohammad], Khajepour, A.[Amir],
Game-Theory in Practice: Application to Motion Planning and Decision Making in an Autonomous Shuttle Bus,
ITS(25), No. 11, November 2024, pp. 18624-18635.
IEEE DOI 2411
Pedestrians, Autonomous vehicles, Real-time systems, Planning, Games, Roads, Force, Autonomous vehicles, intersection handling, real-world vehicle BibRef

Yang, H.[Haonan], Ni, S.Q.[Shao-Quan], Huo, H.Y.[Hao-Yang], Yang, Y.H.[Yu-Hua], Liu, S.[Su], Zhang, Q.P.[Qing-Peng], Chen, D.J.[Ding-Jun],
Variable Neighborhood Search and Alternating Direction Method of Multipliers for Integrated Optimization of Maintenance Windows and Train Timetables,
ITS(25), No. 11, November 2024, pp. 16370-16391.
IEEE DOI 2411
Maintenance, Rail transportation, Optimization, Heuristic algorithms, Transportation, Schedules, Interference, ADMM, VNS BibRef

Guan, Y.L.[Yun-Lin], Wang, Y.[Yun], Guo, H.N.[Hao-Nan], Liu, X.B.[Xia-Bing], Yan, X.D.[Xue-Dong],
Optimizing customized bus services for multi-trip urban passengers: A bi-objective approach,
IET-ITS(18), No. 11, 2024, pp. 2224-2241.
DOI Link 2411
genetic algorithms, mobility as a service, optimisation, public transport, traffic management BibRef

Narayanan, S.[Santhanakrishnan], Makarov, N.[Nikita], Antoniou, C.[Constantinos],
Graph neural networks as strategic transport modelling alternative: A proof of concept for a surrogate,
IET-ITS(18), No. 11, 2024, pp. 2059-2077.
DOI Link 2411
neural nets, strategic planning, transport modelling and microsimulation BibRef


Bulut, B., Gunay, M., Ozgun, K., Ledet, J.W.,
Optimizing Bus Lines Using Genetic Algorithm for Public Transportation,
SmartCityApp21(131-136).
DOI Link 2201
BibRef

Agostini, G.S., Zhang, Y., Laefer, D.F.,
A Category-theory Approach for Construction Ontologies In Subsurface Mass Transit,
GeoInfo21(125-130).
DOI Link 2201
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

Moyo, T., Musakwa, W.,
Ranking Nodes in Complex Networks: a Case Study of The Gaubus,
SmartGeoApps19(1333-1338).
DOI Link 1912
Routing. 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

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).
DOI Link 1805
BibRef

Chapter on Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities continues in
Vehicle Systems, Transportation .


Last update:Nov 26, 2024 at 16:40:19