References
- Albrecht, T. 2008. “Automated Timetable Design for Demand-oriented Service on Suburban Railways.” Public Transport 1: 5–20. doi:https://doi.org/10.1007/s12469-008-0003-4.
- Chen, D., N. Shaoquan, Xu C. ,and Jiang X. 2017. “Optimizing the Draft Passenger Train Timetable Based on Node Importance in a Railway Network.” Transportation Letters 11: 20–32. doi:https://doi.org/10.1080/19427867.2016.1271523.
- Gao, Y., L. Kroon, M. Schmidt, and Yang L. 2016. “Rescheduling a Metro Line in an Over-crowded Situation after Disruptions.” Transportation Research Part B: Methodological 93: 425–449. doi:https://doi.org/10.1016/j.trb.2016.08.011.
- Grygara, D., and R. Fabriciusa. 2019. “An Efficient Adjustment of Genetic Algorithm for Pareto Front Determination.” Transportation Research Procedia 40: 1935.
- Jamili, A., and M. Pourseyed Aghaee. 2015. “Robust Stop-skipping Patterns in Urban Railway Operations under Traffic Alteration Situation.” Transportation Research Part C: Emerging Technologies 61: 63–74. doi:https://doi.org/10.1016/j.trc.2015.09.013.
- Jiang, M., Li, H. , Xu ,X., Xu ,S., and Miao, J. 2017. “Metro Passenger Flow Control with Station-to-station Cooperation Based on Stop-skipping and Boarding Limiting.” Journal of Central South University 24: 236. doi:https://doi.org/10.1007/s11771-017-3424-x.
- Jiang, Z., Fan, W., Liu, W. , Zhu, B., and Gu. J. 2018. “Reinforcement Learning Approach for Coordinated Passenger Inflow Control of Urban Rail Transit in Peak Hours.” Transportation Research Part C: Emerging Technologies 88: 1–16. doi:https://doi.org/10.1016/j.trc.2018.01.008.
- Li, H., Li. Xian, Xu ,X., Liu, J., and B. Ranc. 2018. “Modeling Departure Time Choice of Metro Passengers with A Smart Corrected Mixed Logit Model: A Case Study in Beijing.” Transport Policy 69: 106–121. doi:https://doi.org/10.1016/j.tranpol.2018.06.005.
- Li, H., Wang, Y. , Xu. X., Qin, L. , and Zhang, H. 2019. “Short-term Passenger Flow Prediction under Passenger Flow Control Using a Dynamic Radial Basis Function Network.” Applied Soft Computing Journal 83: 105260. doi:https://doi.org/10.1016/j.asoc.2019.105620.
- Li, S., Yang, L. , and Gao, Z.2018. “Optimal Switched Control Design for Automatic Train Regulation of Metro Lines with Time-varying Passengers Arrival Flow.” Transportation Research Part C: Emerging Technologies 86: 425–440. doi:https://doi.org/10.1016/j.trc.2017.11.025.
- Li, S., M. M. Dessouky, Yang, L. , and Gao, Z. 2017. “Joint Optimal Train Regulation and Passenger Flow Control Strategy for High-frequency Metro Lines.” Transportation Research Part B: Methodological 99: 113–137. doi:https://doi.org/10.1016/j.trb.2017.01.010.
- Lin, C. 2006. “Multicriteria–multistage Planning for the Optimal Path Selection Using Hybrid Genetic Algorithms.” Applied Mathematics and Computation 180 (2): 549–558. doi:https://doi.org/10.1016/j.amc.2005.12.048.
- Liu, Z., Yan, Y. , Qu ,X., and Zhang, Y. 2013. “Bus Stop-skipping Scheme with Random Travel Time.” Transportation Research Part C: Emerging Technologies 35: 46–56. doi:https://doi.org/10.1016/j.trc.2013.06.004.
- Mo, P., Yang, L., Wang, Y. , and Qi ,J. 2019. “A Flexible Metro Train Scheduling Approach to Minimize Energy Cost and Passenger Waiting Time.” Computers & Industrial Engineering 132: 412–432. doi:https://doi.org/10.1016/j.cie.2019.04.031.
- Niu, H., and Zhou, X. 2013. “Optimizing Urban Rail Timetable under Time-dependent Demand and Oversaturated Conditions.” Transportation Research Part C: Emerging Technologies 36: 212–230. doi:https://doi.org/10.1016/j.trc.2013.08.016.
- Niu, H., Zhou, X. , and Gao, R. 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. doi:https://doi.org/10.1016/j.trb.2015.03.004.
- Shang, P., Liu. R., Guo, J. , Xian, K. , and Zhou, X.2019. “Integrating Lagrangian and Eulerian Observations for Passenger Flow State Estimation in an Urban Rail Transit Network: A Space-time-state Hyper Network-based Assignment Approach.” Transportation Research Part B 121: 135–167. doi:https://doi.org/10.1016/j.trb.2018.12.015.
- Shang, P., Liu. R., Liu, Z. , Yang, L., and Wang, Y.2018. “Equity-oriented Skip-stopping Schedule Optimization in an Oversaturated Urban Rail Transit Network.” Transportation Research Part C 89: 321–343. doi:https://doi.org/10.1016/j.trc.2018.02.016.
- Shi, J.,Yang, L., Yang, J. ,Zhou, F., and Gao, Z.2019. “Cooperative Passenger Flow Control in an Oversaturated Metro Network with Operational Risk Thresholds.” Transportation Research Part C 107: 301–336. doi:https://doi.org/10.1016/j.trc.2019.08.008.
- Shi, J., Yang, L., Yang, J., and Gao, Z.2018. “Service-oriented Train Timetabling with Collaborative Passenger Flow Control on an Oversaturated Metro Line: An Integer Linear Optimization Approach.” Transportation Research Part B: Methodological 110: 26–59. doi:https://doi.org/10.1016/j.trb.2018.02.003.
- Sun, L., Jin, J., L. Der-Horng, K. W. Axhausen, and A. Erath. 2014. “Demand-driven Timetable Design for Metro Services.” Transportation Research Part C: Emerging Technologies 46: 284–299. doi:https://doi.org/10.1016/j.trc.2014.06.003.
- Tirachini, A., D. A. Hensher, and J. M. Rose. 2013. “Crowding in Public Transport Systems: Effects on Users, Operation and Implications for the Estimation of Demand.” Transportation Research Part A: Policy and Practice 53: 36–52.
- Vieira, A. C. L., M. D. Oliveira, and C. A. Bana E Costa. 2020. “Enhancing Knowledge Construction Processes within Multicriteria Decision Analysis: The Collaborative Value Modelling Framework.” Omega 9.
- Wang, C., Yu, S., Guo, X., T. Kearney, Guo, P., Chang, R., Chen, J., Chen, W., and Sun C. 2020. “Maximizing Solar Energy Utilization through Multicriteria Pareto Optimization of Energy Harvesting and Regulating Smart Windows.” Cell Reports Physical Science 1 (7): 100108. doi:https://doi.org/10.1016/j.xcrp.2020.100108.
- Wang, Y., B. D. Schutter, T. J. J. van den Boom,Ning, B., and Tang, T. 2014. “Efficient Bilevel Approach for Urban Rail Transit Operation with Stop-skipping.” IEEE Transactions on Intelligent Transportation Systems 15: 2658–2670. doi:https://doi.org/10.1109/TITS.2014.2323116.
- Wang, Y., Tang, T., T. J. Ning, B., J. van den Boom, and D. S. Bart. 2015. “‘Passenger Demands-oriented Train Scheduling for an Urban Rail Transit Network’, Transportation Research Part C.” Emerging Technologies 60: 1–23. doi:https://doi.org/10.1016/j.trc.2015.07.012.
- Xu, X., Liu, J., Li, H., and Jiang, M. 2016. “Capacity-oriented Passenger Flow Control under Uncertain Demand: Algorithm Development and Real-world Case Study.” Transportation Research Part E: Logistics and Transportation Review 87: 130–148. doi:https://doi.org/10.1016/j.tre.2016.01.004.
- Xu, X., Li. K., and Yang, L.2016. “Rescheduling Subway Trains by a Discrete Event Model considering Service Balance Performance.” Applied Mathematical Modelling 40: 1446–1466. doi:https://doi.org/10.1016/j.apm.2015.06.031.
- Yin, J., Yang, L., Tang, T., Gao, Z., and Ran, B. 2017. “Dynamic Passenger Demand-Oriented Metro Train Scheduling with Energy Efficiency and Waiting Time Minimization: Mixed-integer Linear Programming Approaches.” Transportation Research Part B: Methodological 97: 182–213. doi:https://doi.org/10.1016/j.trb.2017.01.001.
- Yuan, F., Sun, H.,Kang, L., and Wu ,J. 2020. “Passenger Flow Control Strategies for Urban Rail Transit Networks.” Applied Mathematical Modelling 82: 168–188. doi:https://doi.org/10.1016/j.apm.2020.01.041.