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

Abstract

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.

Keywords

• Energy consumption
• synchronization time
• time-shift control scheme
• congestion