Urban Rail Train Scheduling With Smoothing Energy Consumption Peaks and Synchronization Time Minimization: Using Novel Time-Shift Control Scheme

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 peak period. A good cooperative timetable associated time-based shift radios is proposed to achieve a mutually beneficial win-win situation low energy consumption (costs), and short waiting time level different time-shift control schemes by shifting passengers’ travel times. By seeking optimal radios, we focus on generating favorable train schedule taking decisions presence trade-offs two conflicting objectives. Subsequently, an improved non-dominated sorting genetic algorithms (INSGA-II) was presented solve multi-objective programming model. Finally, computational results show that optimized scheme brings significant effect reducing during periods.