Integrated optimization of tram schedule and signal priority at intersections to minimize person delay
File(s)
Published version
Author(s)
Zhou, Wen
Bai, Yun
Li, Jiajie
Zhou, Yuhe
Li, Tang
Type
Journal Article
Abstract
Modern trams, as a rapidly developed high-volume transport model, have strict requirements on schedule, because the delay will reduce the attractiveness of public transportation to passengers. To improve punctuality and reliability, Transit Signal Priority (TSP) has been employed at intersections, which can extend or insert green phase to trams. However, extending or inserting the green phase for every tram might lead to heavy delays to crossing vehicles. To address this problem, this study developed an integrated optimization model on tram schedule and signal priority which can balance the delay between trams and other vehicles to minimize person delay. Three conditional strategies named early green, green extension, and phase insertion are proposed for the signal priority. Simultaneously, arrival time, departure time of trams at stations, and stop line are optimized as well. The proposed model is tested with a numerical case and a real-world case at Ningbo tramline in China. The results indicate that the integrated optimization can reduce the average delay of all passengers on trams and other vehicles, compared to timetable optimization only and TSP only. It is also found that the proposed model is able to adapt to the fluctuation in the ratio of tram passenger to auto vehicle user, compared with only minimizing tram passenger delay or auto vehicle user delay.
Date Issued
2019-07-18
Date Acceptance
2019-07-02
Citation
Journal of Advanced Transportation, 2019, 2019, pp.1-18
ISSN
0197-6729
Publisher
Hindawi Limited
Start Page
1
End Page
18
Journal / Book Title
Journal of Advanced Transportation
Volume
2019
Copyright Statement
Copyright © 2019 Wen Zhou et al. Tis is an open access article distributed under the Creative Commons Attribution License,
which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
License URL
Identifier
https://www.hindawi.com/journals/jat/2019/4802967/
Publication Status
Published
Date Publish Online
2019-07-18