Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/85994
Title: Effects of traffic lights for Manhattan-like urban traffic network in intelligent transportation systems
Authors: Chen, Bokui
Wang, David Zhi Wei
Gao, Yachun
Zhang, Kai
Miao, Lixin
Wang, Binghong
Keywords: Traffic light
Cellular automaton models
Issue Date: 2017
Source: Chen, B., Wang, D. Z. W., Gao, Y., Zhang, K., Miao, L., & Wang, B. (2017). Effects of traffic lights for Manhattan-like urban traffic network in intelligent transportation systems. Transportmetrica B: Transport Dynamics, in press.
Series/Report no.: Transportmetrica B: Transport Dynamics
Abstract: Traffic light is the core part of advanced transportation management systems. Assuming travelers receive and follow the route guidance information designed by two specific route choice strategies, this paper investigates how the traffic lights rule, period and its quantity affect the traffic system performance on a Manhattan-like urban network. Firstly, the simulation results of the average flow against the traffic density and the vehicle distribution are studied under four traffic light rules. Then the relationship between the extremum of average speed and traffic light period is complementally analyzed and the theoretical results have been proved basically in agreement with the simulation results. Lastly, the effects of the number of traffic lights on average flow and vehicle distribution are discussed. From these results, it is concluded that the traffic system performance can be improved if the anticlockwise rule combined with the congestion coefficient feedback strategy-based route guidance is adopted and the number of traffic lights is reduced to its minimum requirement.
URI: https://hdl.handle.net/10356/85994
http://hdl.handle.net/10220/43916
ISSN: 2168-0566
DOI: 10.1080/21680566.2016.1216810
Rights: © 2016 Hong Kong Society for Transportation Studies (published by Taylor & Francis). This is the author created version of a work that has been peer reviewed and accepted for publication in Transportmetrica B: Transport Dynamics, published by Taylor & Francis on behalf of Hong Kong Society for Transportation Studies. It incorporates referee’s comments but changes resulting from the publishing process, such as copyediting, structural formatting, may not be reflected in this document.  The published version is available at: [http://dx.doi.org/10.1080/21680566.2016.1216810].
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:CEE Journal Articles

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