An integrated approach of timetable and train ratio optimisation based on event-driven model with express/local mode

References

• Cao, Zhichao, Avishai (Avi) Ceder, Dewei Li, and Silin Zhang. 2020. “Robust and Optimized Urban Rail Timetabling Using a Marshaling Plan and Skip-Stop Operation.” Transportmetrica A: Transport Science 16 (3): 1217–1249. https://doi.org/10.1080/23249935.2020.1720038.
   Web of Science ®Google Scholar
• Chen, Junlan, Ziyuan Pu, Xiucheng Guo, Jieyu Cao, and Fang Zhang. 2023. “Multiperiod Metro Timetable Optimization Based on the Complex Network and Dynamic Travel Demand.” Physica A: Statistical Mechanics and Its Applications 611: 128419. https://doi.org/10.1016/j.physa.2022.128419.
   Web of Science ®Google Scholar
• Dong, Xinlei, Dewei Li, Yonghao Yin, Shishun Ding, and Zhichao Cao. 2020. “Integrated Optimization of Train Stop Planning and Timetabling for Commuter Railways with An Extended Adaptive Large Neighborhood Search Metaheuristic Approach.” Transportation Research Part C: Emerging Technologies 117: 102681. https://doi.org/10.1016/j.trc.2020.102681.
   Web of Science ®Google Scholar
• Gao, Yuan, Lixing Yang, and Ziyou Gao. 2018. “Energy Consumption and Travel Time Analysis for Metro Lines with Express/Local Mode.” Transportation Research Part D: Transport and Environment 60: 7–27. https://doi.org/10.1016/j.trd.2016.10.009.
   Web of Science ®Google Scholar
• Gkiotsalitis, Konstantinos. 2021. “Stop-skipping in Rolling Horizons.” Transportmetrica A: Transport Science 17 (4): 492–520. https://doi.org/10.1080/23249935.2020.1798554.
   Web of Science ®Google Scholar
• Gong, Congcong, Jungang Shi, Yanhui Wang, Housheng Zhou, Lixing Yang, Dewang Chen, and Hanchuan Pan. 2021. “Train Timetabling with Dynamic and Random Passenger Demand: A Stochastic Optimization Method.” Transportation Research Part C: Emerging Technologies 123: 102963. https://doi.org/10.1016/j.trc.2021.102963.
   Web of Science ®Google Scholar
• Hassannayebi, Erfan, Arman Sajedinejad, Ali Kardannia, Masoud Shakibayifar, Hossein Jafari, and Ehsan Mansouri. 2021. “Simulation-Optimization Framework for Train Rescheduling in Rapid Rail Transit.” Transportmetrica B: Transport Dynamics 9 (1): 343–375. https://doi.org/10.1080/21680566.2020.1854896.
   Web of Science ®Google Scholar
• Huang, Kang, Feixiong Liao, and Ziyou Gao. 2021. “An Integrated Model of Energy-Efficient Timetabling of the Urban Rail Transit System with Multiple Interconnected Lines.” Transportation Research Part C: Emerging Technologies 129: 103171. https://doi.org/10.1016/j.trc.2021.103171.
   Web of Science ®Google Scholar
• Jiang, Feng, Valentina Cacchiani, and Paolo Toth. 2017. “Train Timetabling by Skip-Stop Planning in Highly Congested Lines.” Transportation Research Part B: Methodological 104: 149–174. https://doi.org/10.1016/j.trb.2017.06.018.
   Web of Science ®Google Scholar
• Kaspi, Mor, and Tal Raviv. 2013. “Service-Oriented Line Planning and Timetabling for Passenger Trains.” Transportation Science 47 (3): 295–311. https://doi.org/10.1287/trsc.1120.0424.
   Web of Science ®Google Scholar
• Khodaparastan, Mahdiyeh, Ahmed A. Mohamed, and Werner Brandauer. 2019. “Recuperation of Regenerative Braking Energy in Electric Rail Transit Systems.” IEEE Transactions on Intelligent Transportation Systems 20 (8): 2831–2847. https://doi.org/10.1109/TITS.2018.2886809.
   Web of Science ®Google Scholar
• Le, Zhao, Keping Li, Jingjing Ye, and Xiaoming Xu. 2015. “Optimizing the Train Timetable for a Subway System.” Proceedings of the Institution of Mechanical Engineers, Part F: Journal of Rail and Rapid Transit 229 (8): 852–862. https://doi.org/10.1177/0954409714524377.
   Web of Science ®Google Scholar
• Liang, Shidong, Shengxue He, Hu Zhang, and Minghui Ma. 2021. “Optimal Holding Time Calculation Algorithm to Improve the Reliability of High Frequency Bus Route Considering the Bus Capacity Constraint.” Reliability Engineering & System Safety 212 (2): 107632. https://doi.org/10.1016/j.ress.2021.107632.
   Google Scholar
• Liebchen, Christian, Michael Schachtebeck, Anita Schöbel, Sebastian Stiller, and André Prigge. 2010. “Computing Delay Resistant Railway Timetables.” Computers & Operations Research 37 (5): 857–868. https://doi.org/10.1016/j.cor.2009.03.022.
   Web of Science ®Google Scholar
• Limsawasd, Charinee, Nathee Athigakunagorn, Phattadon Khathawatcharakun, and Atiwat Boonmee. 2022. “Skip-Stop Strategy Patterns Optimization to Enhance Mass Transit Operation Under Physical Distancing Policy Due to COVID-19 Pandemic Outbreak.” Transport Policy 126: 225–238. https://doi.org/10.1016/j.tranpol.2022.07.014.
   PubMed Web of Science ®Google Scholar
• Liu, Hongjie, MengChu Zhou, Xiwang Guo, Zizhen Zhang, Bin Ning, and Tao Tang. 2019. “Timetable Optimization for Regenerative Energy Utilization in Subway Systems.” IEEE Transactions on Intelligent Transportation Systems 20 (9): 3247–3257. https://doi.org/10.1109/TITS.2018.2873145.
   Web of Science ®Google Scholar
• Meng, Fanting, Lixing Yang, Jungang Shi, Zhong-Zhong Jiang, and Ziyou Gao. 2022. “Collaborative Passenger Flow Control for Oversaturated Metro Lines: A Stochastic Optimization Method.” Transportmetrica A: Transport Science 18 (3): 619–658. https://doi.org/10.1080/23249935.2021.1886195.
   Web of Science ®Google Scholar
• Mo, Pengli, Andrea D’Ariano, Lixing Yang, Lucas P. Veelenturf, and Ziyou Gao. 2021. “An Exact Method for the Integrated Optimization of Subway Lines Operation Strategies with Asymmetric Passenger Demand and Operating Costs.” Transportation Research Part B: Methodological 149: 283–321. https://doi.org/10.1016/j.trb.2021.05.009.
   Web of Science ®Google Scholar
• Mo, Pengli, Lixing Yang, Andrea D'Ariano, Jiateng Yin, Yu Yao, and Ziyou Gao. 2019. “Energy-efficient Train Scheduling and Rolling Stock Circulation Planning in a Metro Line: A Linear Programming Approach.” IEEE Transactions on Intelligent Transportation Systems 21 (9): 3621–3633. https://doi.org/10.1109/tits.2019.2930085.
   Web of Science ®Google Scholar
• Niu, Huimin, and Xuesong Zhou. 2013. “Optimizing Urban Rail Timetable Under Time-Dependent Demand and Oversaturated Conditions.” Transportation Research Part C: Emerging Technologies 36: 212–230. https://doi.org/10.1016/j.trc.2013.08.016.
   Web of Science ®Google Scholar
• Niu, Huimin, Xuesong Zhou, and Ruhu Gao. 2015. “Train Scheduling for Minimizing Passenger Waiting Time with Time-Dependent Demand and Skip-Stop Patterns: Nonlinear Integer Programming Models with Linear Constraints.” Transportation Research Part B: Methodological 76: 117–135. https://doi.org/10.1016/j.trb.2015.03.004.
   Web of Science ®Google Scholar
• Pan, Hanchuan, Lixing Yang, and Zhe Liang. 2023. “Demand-Oriented Integration Optimization of Train Timetabling and Rolling Stock Circulation Planning with Flexible Train Compositions: A Column-Generation-Based Approach.” European Journal of Operational Research 305 (1): 184–206. https://doi.org/10.1016/j.ejor.2022.05.039.
   Web of Science ®Google Scholar
• Peña-Alcaraz, Maite, Antonio Fernández, Asunción Paloma Cucala, Andres Ramos, and Ramon R Pecharromán. 2012. “Optimal Underground Timetable Design Based on Power Flow for Maximizing the Use of Regenerative-Braking Energy.” Proceedings of the Institution of Mechanical Engineers, Part F: Journal of Rail and Rapid Transit 226 (4): 397–408. https://doi.org/10.1177/0954409711429411.
   Web of Science ®Google Scholar
• Qi, Jianguo, Valentina Cacchiani, Lixing Yang, Chuntian Zhang, and Zhen Di. 2021. “An Integer Linear Programming Model for Integrated Train Stop Planning and Timetabling with Time-Dependent Passenger Demand.” Computers & Operations Research 136: 105484. https://doi.org/10.1016/j.cor.2021.105484.
   Web of Science ®Google Scholar
• Shi, Feng, Shuo Zhao, Zhao Zhou, Pu Wang, and Michael G.H. Bell. 2017. “Optimizing Train Operational Plan in an Urban Rail Corridor Based on the Maximum Headway Function.” Transportation Research Part C: Emerging Technologies 74: 51–80. https://doi.org/10.1016/j.trc.2016.11.007.
   Web of Science ®Google Scholar
• Sun, Lijun, Jian Gang Jin, Der-Horng Lee, Kay W. Axhausen, and Alexander Erath. 2014. “Demand-Driven Timetable Design for Metro Services.” Transportation Research Part C: Emerging Technologies 46: 284–299. https://doi.org/10.1016/j.trc.2014.06.003.
   Web of Science ®Google Scholar
• Sun, Huijun, Jianjun Wu, Hongnan Ma, Xin Yang, and Ziyou Gao. 2019. “A Bi-Objective Timetable Optimization Model for Urban Rail Transit Based on the Time-Dependent Passenger Volume.” IEEE Transactions on Intelligent Transportation Systems 20 (2): 604–615. https://doi.org/10.1109/TITS.2018.2818182.
   Web of Science ®Google Scholar
• Tang, Lianhua, Andrea D’Ariano, Xingfang Xu, Yantong Li, Xiaobing Ding, and Marcella Samà. 2021. “Scheduling Local and Express Trains in Suburban Rail Transit Lines: Mixed–Integer Nonlinear Programming and Adaptive Genetic Algorithm.” Computers & Operations Research 135: 105436. https://doi.org/10.1016/j.cor.2021.105436.
   Web of Science ®Google Scholar
• Vukan R, Vuchic. 2005. Urban Transit: Operations, Planning, and Economics. New Jersey, USA: John Wiley & Sons.
   Google Scholar
• Wang, Yaoyao, Avishai (Avi) Ceder, Zhichao Cao, and Silin Zhang. 2023. “Optimal Public Transport Timetabling with Autonomous-Vehicle Units Using Coupling and Decoupling Tactics.” Transportmetrica A: Transport Science 2023: 1–51. https://doi.org/10.1080/23249935.2023.2220423.
   Google Scholar
• Wang, Yihui, Andrea D’Ariano, Jiateng Yin, Lingyun Meng, Tao Tang, and Bin Ning. 2018. “Passenger Demand Oriented Train Scheduling and Rolling Stock Circulation Planning for An Urban Rail Transit Line.” Transportation Research Part B: Methodological 118: 193–227. https://doi.org/10.1016/j.trb.2018.10.006.
   Web of Science ®Google Scholar
• Wong, Rachel C. W., Tony W. Y. Yuen, Kwok Wah Fung, and Janny M. Y. Leung. 2008. “Optimizing Timetable Synchronization for Rail Mass Transit.” Transportation Science 42 (1): 57–69. https://doi.org/10.1287/trsc.1070.0200.
   Web of Science ®Google Scholar
• Wu, Yinghui, Hai Yang, Shuo Zhao, and Pan Shang. 2021. “Mitigating Unfairness in Urban Rail Transit Operation: A Mixed-Integer Linear Programming Approach.” Transportation Research Part B: Methodological 149: 418–442. https://doi.org/10.1016/j.trb.2021.04.014.
   Web of Science ®Google Scholar
• Xu, Xiaoming, Chung-Lun Li, and Zhou Xu. 2021. “Train Timetabling with Stop-Skipping, Passenger Flow, and Platform Choice Considerations.” Transportation Research Part B: Methodological 150: 52–74. https://doi.org/10.1016/j.trb.2021.06.001.
   Web of Science ®Google Scholar
• Yang, Xin, Anthony Chen, Bin Ning, and Tao Tang. 2017. “Bi-Objective Programming Approach for Solving the Metro Timetable Optimization Problem with Dwell Time Uncertainty.” Transportation Research Part E: Logistics and Transportation Review 97: 22–37. https://doi.org/10.1016/j.tre.2016.10.012.
   Web of Science ®Google Scholar
• Yang, Lin, Dewei Li, Hui Wang, and Yuan Gao. 2024. “Integrating Stop Planning, Timetabling and Rolling Stock Planning on High-Speed Railway Lines: A Multi-Objective Optimization Approach.” Expert Systems with Applications 237: 121515. https://doi.org/10.1016/j.eswa.2023.121515.
   Web of Science ®Google Scholar
• Yang, Anan, Bo Wang, Jianling Huang, and Chen Li. 2020. “Service Replanning in Urban Rail Transit Networks: Cross-Line Express Trains for Reducing the Number of Passenger Transfers and Travel Time.” Transportation Research Part C: Emerging Technologies 115: 102629. https://doi.org/10.1016/j.trc.2020.102629.
   Web of Science ®Google Scholar
• Yang, Songpo, Jianjun Wu, Xin Yang, Feixiong Liao, Daqing Li, and Yun Wei. 2019. “Analysis of Energy Consumption Reduction in Metro Systems Using Rolling Stop-Skipping Patterns.” Computers & Industrial Engineering 127: 129–142. https://doi.org/10.1016/j.cie.2018.11.048.
   Web of Science ®Google Scholar
• Yue, Yixiang, Juntao Han, and Shifeng Wang. 2017. “Integrated Train Timetabling and Rolling Stock Scheduling Model Based on Time-Dependent Demand for Urban Rail Transit.” Computer-Aided Civil and Infrastructure Engineering 32 (10): 856–873. https://doi.org/10.1111/mice.12300.
   Web of Science ®Google Scholar
• Zhan, Shuguang, S. C. Wong, Qiyuan Peng, and S. M. Lo. 2021. “Train Stop Deployment Planning in the Case of Complete Blockage: An Integer Linear Programing Model.” Journal of Transportation Safety & Security 13 (10): 1066–1092. https://doi.org/10.1080/19439962.2019.1645773.
   Web of Science ®Google Scholar
• Zhang, Shuang, Yanqiu Cheng, Kuanmin Chen, Chen Ma, Jie Wei, and Xianbiao Hu. 2023. “A General Metro Timetable Rescheduling Approach for the Minimisation of the Capacity Loss After Random Line Disruption.” Transportmetrica A: Transport Science 20 (3): 2204965. https://doi.org/10.1080/23249935.2023.2204965.
   Web of Science ®Google Scholar
• Zhang, Renjie, Shisong Yin, Mao Ye, Zhiqiang Yang, and Shanglu He. 2021. “A Timetable Optimization Model for Urban Rail Transit with Express/Local Mode.” Journal of Advanced Transportation 2021: 1–15. https://doi.org/10.1155/2021/5589185.
   Web of Science ®Google Scholar
• Zhao, Shuo, Hai Yang, and Yinghui Wu. 2021. “An Integrated Approach of Train Scheduling and Rolling Stock Circulation with Skip-Stopping Pattern for Urban Rail Transit Lines.” Transportation Research Part C: Emerging Technologies 128: 103170. https://doi.org/10.1016/j.trc.2021.103170.
   Web of Science ®Google Scholar
• Zhou, Housheng, Jianguo Qi, Lixing Yang, Jungang Shi, Hanchuan Pan, and Yuan Gao. 2022. “Joint Optimization of Train Timetabling and Rolling Stock Circulation Planning: A Novel Flexible Train Composition Mode.” Transportation Research Part B: Methodological 162: 352–385. https://doi.org/10.1016/j.trb.2022.06.007.
   Web of Science ®Google Scholar
• Zhuo, Siyu, Jianrui Miao, Lingyun Meng, Liya Yang, and Pan Shang. 2023. “Demand-Driven Integrated Train Timetabling and Rolling Stock Scheduling on Urban Rail Transit Line.” Transportmetrica A: Transport Science 20 (3): 2181024. https://doi.org/10.1080/23249935.2023.2181024.
   Web of Science ®Google Scholar