Optimization of Mecca Light Rail Train Organization during Peak Hours Based on Virtual Formation Technology

Journal Title: Urban Mass Transit - Year 2024, Vol 27, Issue 7

Abstract

Objective With the annual increase of pilgrim flow in Mecca, the throughput capacity of Makkah Metro Pink Line (simplified as Mecca light rail) operation plan during peak hours is saturated. Therefore, it is aimed to explore the optimization effect of virtual formation technology on the operational mode of Mecca light rail during peak hours, targeting at improving its throughput capacity. Method In the research process, an operation plan is constructed through in-depth analysis of departure intervals and sequencing. Five operational modes, denoted as A to E, are adopted for different hours. With the objective of maximizing the total number of trains operated during peak hours (operational mode C), the optimal operation plan is obtained using timetable cycle analysis method. Result & Conclusion Research results indicate that the operation plan optimized with virtual formation technology, compared to the existing plan for busy hours, can compress the departure intervals of some trains, thereby improving the timetable cycle and consequently enhancing throughput capacity. The application of virtual formation technology allows for the operation of 144 pairs of trains during busy hours (about 5 hours), demonstrating a relative increase of 9.1% in throughput capacity compared to the original mode of 132 pairs. The practical significance of the research lies in providing a realistic and feasible solution for enhancing the throughput capacity and service level of Mecca light rail.

Authors and Affiliations

Long ZHANG

Keywords

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  • EP ID EP742608
  • DOI 10.16037/j.1007-869x.2024.07.024
  • Views 41
  • Downloads 0

How To Cite

Long ZHANG (2024). Optimization of Mecca Light Rail Train Organization during Peak Hours Based on Virtual Formation Technology. Urban Mass Transit, 27(7), -. https://europub.co.uk/articles/-A-742608