A Model to Simulate Delay in Train Schedule Caused by Crowded Passengers Using a Time-space network
A network flow model of commuting traffic in the railway network of the Tokyo Metropolitan area is presented in this paper in order to study the problems of the railway. Approximately seven million passengers commute through this network using about 7,500 trains during morning rush hours. Trains are usually crowded and subject to delay. In addition to the huge traffic volume, commuters concentrate during short time periods, traveling radial lines directing them to the central district, and choose a "better (higher speed)" train service. In order to relieve overcrowding conditions it is important to fully utilize the existing capacity of the network. The model presented in this paper consists of a time-space network (or schedule-based network) and details traffic data on the route choice of commuters. Traffic data on the route choice of commuters has been intensively studied to consider traffic problems where each vehicle service is operated according to a timetable. Using this network, every train service and action of passengers can be represented by nodes and edges of the network to prevent delay.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/01600716
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Authors:
- Toriumi, Shigeki
- Taguchi, Azuma
- Matsumoto, Tetsuro
- Publication Date: 2014
Media Info
- Media Type: Web
- Features: References;
- Pagination: pp 225-244
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Serial:
- International Regional Science Review
- Volume: 37
- Issue Number: 2
- Publisher: Sage Publications Limited
- ISSN: 0160-0716
- EISSN: 1552-6925
- Serial URL: http://irx.sagepub.com/
Subject/Index Terms
- TRT Terms: Central business districts; Crowds; Delays; Passenger traffic; Peak hour traffic; Railroad commuter service; Route choice; Traffic data; Traffic volume
- Geographic Terms: Tokyo (Japan)
- Subject Areas: Operations and Traffic Management; Railroads; I73: Traffic Control;
Filing Info
- Accession Number: 01529721
- Record Type: Publication
- Files: TRIS
- Created Date: Jun 30 2014 9:44AM