2018Unpublished venueRequires access

Coordination of Metro Lines in Transfer Station Considering Passengers' Conflicts and Waiting Time

Su Wan, Zhen Yang, Ying Shi, Yizhong Zhang, Qi Li, Yaning Geng

Open publisher page 3 citations

Abstract

Metro is a common kind of rail transit system. Metro transfer station is an important node of rail transit network. In China, metro transfer station is always a limited space with crowded passengers. Currently, Intelligent Transport System and Advanced Public Transportation System have been applied to metro operation and management, but conflicts of passengers remain a problem and passenger waiting time is still very long. This paper deals with metro passenger transfer problem through coordination of different metro lines. Metro transfer optimization models are established including three scenarios: 1) single transfer station converged by two metro lines with the same scheduling plan; 2) single transfer station converged by two metro lines with different scheduling plans; 3) multiple transfer stations converged by two metro lines with different scheduling plans. All these scenarios suppose that transfer of passengers takes place in the same platform. Numerical examples are designed to validate the models. The results show that the models in this paper can provide coordination scheme of different metro lines to alleviate passenger conflicts and reduce passenger waiting time in transfer station.

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What this paper is about

Metro is a common kind of rail transit system. Metro transfer station is an important node of rail transit network. In China, metro transfer station is always a limited space with crowded passengers. Currently, Intelligent Transport System and Advanced Public Transportation System have been applied to metro operation and management, but conflicts of passengers remain a problem and passenger waiting time is still very long. This paper deals with metro passenger transfer problem through coordination of different metro lines. Metro transfer optimization models are established including three scenarios: 1) single transfer station converged by two metro lines with the same scheduling plan; 2) single transfer station converged by two metro lines with different scheduling plans; 3) multiple transfer stations converged by two metro lines with different scheduling plans. All these scenarios suppose that transfer of passengers takes place in the same platform. Numerical examples are designed to validate the models. The results show that the models in this paper can provide coordination scheme of different metro lines to alleviate passenger conflicts and reduce passenger waiting time in transfer station.

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Available abstract

Metro is a common kind of rail transit system. Metro transfer station is an important node of rail transit network. In China, metro transfer station is always a limited space with crowded passengers. Currently, Intelligent Transport System and Advanced Public Transportation System have been applied to metro operation and management, but conflicts of passengers remain a problem and passenger waiting time is still very long. This paper deals with metro passenger transfer problem through coordination of different metro lines. Metro transfer optimization models are established including three scenarios: 1) single transfer station converged by two metro lines with the same scheduling plan; 2) single transfer station converged by two metro lines with different scheduling plans; 3) multiple transfer stations converged by two metro lines with different scheduling plans. All these scenarios suppose that transfer of passengers takes place in the same platform. Numerical examples are designed to validate the models. The results show that the models in this paper can provide coordination scheme of different metro lines to alleviate passenger conflicts and reduce passenger waiting time in transfer station.

Key concepts: Transfer station, Transfer (computing), Public transport, Rail transit, Metro station, Scheduling (production processes), Transport engineering, Urban rail transit

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