Latest revision as of 19:58, 22 March 2021

Abstract

This study aims to develop an optimal signal control algorithm for signalized intersections using individual vehicle’s trajectory data under the vehicle-to-infrastructure (V2I) communication environment. The optimal signal control algorithm developed in this study consists of three modules, namely, a phase group length computation module, a split distribution module, and a phase sequence assignment module. A set of analyses using a microscopic simulation model, VISSIM, was conducted for evaluating the effectiveness of the V2I-based optimal signal control algorithm proposed in this study. The analysis results show that the performance of the V2I-based optimal signal control algorithm is superior to the actuated as well as the fixed signal control methods in an isolated intersection and a 2X3 signalized intersection network. In addition, this study investigated the minimum market penetration rate of V2I equipped vehicles for which the V2I-based optimal signal control algorithm is applicable.

Document type: Article

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

• http://dx.doi.org/10.1155/2019/6039741 under the license http://creativecommons.org/licenses/by/4.0/

• https://doi.org/10.1155/2019/6039741 under the license http://creativecommons.org/licenses/by/4.0

• http://downloads.hindawi.com/journals/jat/2019/6039741.pdf,

http://downloads.hindawi.com/journals/jat/2019/6039741.xml,

http://dx.doi.org/10.1155/2019/6039741 under the license cc-by

• http://dx.doi.org/10.1155/2019/6039741,

https://doaj.org/toc/0197-6729,

https://doaj.org/toc/2042-3195 under the license http://creativecommons.org/licenses/by/4.0/

• https://www.hindawi.com/journals/jat/2019/6039741,

http://downloads.hindawi.com/journals/jat/2019/6039741.pdf,

https://academic.microsoft.com/#/detail/2911991143