|
Title: Energy-Efficient Operation of Subway Systems
Accession Number: 01472150
Record Type: Component
Availability: Transportation Research Board Business Office 500 Fifth Street, NW Abstract: To reduce the operational costs and to improve the operational efficiency, people are paying more and more attention to the energy-efficient operation of subway systems. In this paper, the authors present and compare two algorithms for determining the energy-efficient speed profile for trains of subway systems. Firstly, they formulate a mixed integer linear programming (MILP) model to get the optimal speed profile. Secondly, they present an integrated algorithm for optimizing the timetable for the entire route together with the speed profiles between successive stations, which is called integrated timetable. Finally, based on the data from the Beijing YiZhuang subway line, they give some numerical examples to illustrate the validity, and to compare the optimality of the algorithms. The results show that both algorithms can get a good performance in saving energy, but the MILP approach gives a better energy-efficient performance, and the integrated algorithm needs a shorter computation time.
Supplemental Notes: This paper was sponsored by TRB committee AP010 Transit Management and Performance.
Monograph Title: Monograph Accession #: 01470560
Report/Paper Numbers: 13-2451
Language: English
Corporate Authors: Transportation Research Board 500 Fifth Street, NW Authors: Su, SWang, YinhiDe Schutter, BLi, Xiaopeng (Shaw)van den Boom, T J JTang, TaoPagination: 12p
Publication Date: 2013
Conference:
Transportation Research Board 92nd Annual Meeting
Location:
Washington DC, United States Media Type: Digital/other
Features: Figures; References; Tables
TRT Terms: Geographic Terms: Subject Areas: Energy; Operations and Traffic Management; Public Transportation; I15: Environment; I72: Traffic and Transport Planning
Source Data: Transportation Research Board Annual Meeting 2013 Paper #13-2451
Files: TRIS, TRB, ATRI
Created Date: Feb 5 2013 12:31PM
|