A Service-oriented Metro Traffic Regulation Method for Improving Operation Performance
Jiate Luo, Yin Tong, Graziana Cavone, and Mariagrazia Dotoli

TL;DR
This paper presents a novel service-oriented metro traffic regulation framework that integrates passenger flow and train operation modules to reduce delays and passenger discomfort simultaneously, demonstrating improved operational performance through numerical validation.
Contribution
The work introduces an integrated framework combining passenger flow and train operation modules for metro traffic regulation, emphasizing passenger comfort alongside delay minimization.
Findings
Significant reduction in passenger waiting time at platforms
Effective adjustment of train headways during overcrowding
Improved overall metro operation performance
Abstract
For high-density metro traffic, nowadays the time-variant passenger flow is the main cause of train delays and stranded passengers. Typically, the main objective of automatic metro traffic regulation methods is to minimize the delay time of trains while passengers' satisfaction is not considered. Instead, in this work, a novel framework that integrates a passenger flow module (PFM) and a train operation module (TOM) is proposed with the aim of simultaneously minimizing traffic delays and passengers' discomfort. In particular, the PFM is devoted to the optimization of the headway time in case of platform overcrowding, so as to reduce the passengers waiting time at platforms and increase the load rate of trains; while the TOM is devoted to the minimization of trains' delays. The two modules interact with each other so that the headway time is automatically adjusted when a platform is…
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Taxonomy
TopicsTransportation Planning and Optimization · Railway Systems and Energy Efficiency · Traffic Prediction and Management Techniques
