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.
Highlights
Urban rail transit systems play a more and more vital role in the public transportation development on its superiorities in terms of high-speed, land occupation, large-capacity, and low emission, and develop rapidly in most of the metropolis
This paper proposes a multi-objective model associated with a time-shift control scheme to address the congestion issues for the peak period
Considering operators of 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
Summary
Urban rail transit systems play a more and more vital role in the public transportation development on its superiorities in terms of high-speed, land occupation, large-capacity, and low emission, and develop rapidly in most of the metropolis. How to achieve a mutually beneficial win-win situation for operators required low energy consumption (costs), and passengers required short waiting time at high peak level with different shifting radios by considering passengers’ departure times, is the key problem to solve a more acceptable timetable by relieving congestion in the actual operation of peak periods. In essence, these multiple demands may conflict with each other in the train scheduling process.
Sign-in/Register to view highlights & summary Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
