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Title:

A Macroscopic and Dynamic Model of Urban Rail Transit with Delay and Congestion

Accession Number:

01628725

Record Type:

Component

Abstract:

Urban mass transit often operates with high service frequencies to serve large passenger demand, such as those during morning commute. Their objective is to transport as many passengers as quickly as possible. To do so, they require careful planning because their operation can be delayed by two types of congestion, namely, train-congestion (i.e., knock-on delays) and passenger boarding congestion, both of which interact with each other. However, there are no tractable models representing such dynamics of transit systems; and it makes difficult to analyze management strategies of them (e.g., an optimal peak-period toll in morning commute situations) in a general and tractable way. This paper proposes a simplified model for idealized urban rail transit. The model describes passenger transport efficiency of given transit facilities with given passenger demand by considering congestion, while keeping its analytical tractability high. It can be considered as transit-specific fundamental diagram (FD) (i.e., relation among train-flow, train-density, and passenger-flow) with theoretical basis. Then, a macroscopic model of dynamic representation of the system is developed based on the FD. Finally, the macroscopic model is validated by comparing to a microscopic simulation. The results suggest that the proposed model would be useful for management strategy analysis purposes.

Supplemental Notes:

This paper was sponsored by TRB committee AP015 Standing Committee on Transit Capacity and Quality of Service.

Monograph Accession #:

01618707

Report/Paper Numbers:

17-04215

Language:

English

Corporate Authors:

Transportation Research Board

500 Fifth Street, NW
Washington, DC 20001 United States

Authors:

Seo, Toru
Wada, Kentaro
Fukuda, Daisuke

Pagination:

19p

Publication Date:

2017

Conference:

Transportation Research Board 96th Annual Meeting

Location: Washington DC, United States
Date: 2017-1-8 to 2017-1-12
Sponsors: Transportation Research Board

Media Type:

Digital/other

Features:

Figures; References; Tables

Uncontrolled Terms:

Subject Areas:

Operations and Traffic Management; Planning and Forecasting; Public Transportation

Source Data:

Transportation Research Board Annual Meeting 2017 Paper #17-04215

Files:

TRIS, TRB, ATRI

Created Date:

Dec 8 2016 11:36AM