Urban Rail Train Scheduling With Smoothing Energy Consumption Peaks and Synchronization Time Minimization: Using Novel Time-Shift Control Scheme
| Autor: | Xin Guo, Feng Li, Jin Zhou |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Schedule
Mathematical optimization Urban rail transit General Computer Science Computer science synchronization time congestion General Engineering Sorting time-shift control scheme Time shifting Energy consumption Synchronization Scheduling (computing) TK1-9971 General Materials Science Electrical engineering. Electronics. Nuclear engineering Smoothing |
| Zdroj: | IEEE Access, Vol 9, Pp 70142-70154 (2021) |
| ISSN: | 2169-3536 |
| Popis: | Considering operators of the urban rail transit systems are often faced with cost control, passengers required high service quality, which has inter-affection between each other in congestion issues for the peak period. A good cooperative timetable associated with time-based shift radios is proposed to achieve a mutually beneficial win-win situation for operators required low energy consumption (costs), and passengers required short waiting time in high peak level with different time-shift control schemes by shifting passengers’ travel times. By seeking the optimal shift radios, we focus on generating a favorable train schedule by taking the optimal decisions in the presence of trade-offs between two conflicting objectives. Subsequently, an improved non-dominated sorting in genetic algorithms (INSGA-II) was presented to solve the multi-objective programming model. Finally, the computational results show that the optimized time-shift control scheme brings a significant effect on reducing congestion during the peak periods. |
| Databáze: | OpenAIRE |
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