Abstract

Transit Signal Priority (TSP) provides preferential treatment for public transit vehicles at signalized intersections when implemented. TSP is usually provided by interrupting the typical signal timings and extending the green or truncating the red for the signal phases that serve transits. This study investigates the impact of implementing a TSP treatment along a major arterial. A microsimulation approach was used to model, assess, and evaluate the potential benefits of implementing this treatment to bus transit vehicles. The network was built in a VISSIM multimodal microsimulation environment to test the traffic network performance with and without priority treatments. The study considered different peak hours for performance assessment. Three transit routes were considered in the microscopic modeling. The results showed a significant benefit of implementing TSP for the transit vehicles. The travel time was reduced by more than 40% in some cases, which can be translated into lower transit delay and more reliable transit service. The results also showed that TSP has a minimal negative effect on the general traffic. In fact, the general traffic along the studied transit routes benefited from the TSP implementation because of the better traffic progression and additional green times. 2018 The Authors. Published by Elsevier B.V. This report was made possible by UREP award (UREP18-054-2-020) from the Qatar National Research Fund (a member of The Qatar Foundation). The statements made herein are solely the responsibility of the authors. Scopu


Original document

The different versions of the original document can be found in:

http://hdl.handle.net/10576/12823
https://api.elsevier.com/content/article/PII:S187705091830365X?httpAccept=text/plain,
http://dx.doi.org/10.1016/j.procs.2018.04.015 under the license https://www.elsevier.com/tdm/userlicense/1.0/
https://dblp.uni-trier.de/db/conf/ant/ant2018.html#ShaabanG18,
https://academic.microsoft.com/#/detail/2801724075
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Document information

Published on 01/01/2018

Volume 2018, 2018
DOI: 10.1016/j.procs.2018.04.015
Licence: Other

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