Effective Vehicle Queue Length Estimation Mechanism Based on V2I Communications 


Vol. 43,  No. 4, pp. 749-756, Apr.  2018
10.7840/kics.2018.43.4.749


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  Abstract

In the intermittent traffic environment, vehicle detection has to be performed first for the acquisition of vehicle queue length information in order for a traffic signal controller (road side unit, RSU) to effectively control traffic signals. Some of the representative vehicle detection mechanisms are the vehicle detection mechanism based on video image analysis and that based on sensors installed on the road. However, these mechanisms require high amount of computation and high sensor installation cost. Therefore, in this paper, we propose a mechanism in which a traffic signal controller uses the vehicle to infrastructure (V2I) communications to acquire vehicular information with less overhead. In the proposed mechanism, a road segment between two neighboring intersections is divided into a number of sectors in each of which only one vehicle sends a vehicle information message to the traffic signal controller, resulting in less V2I communications. For the performance evaluation of the proposed mechanism, we used the vehicle network simulation framework Veins based on SUMO and OMNet++, and measured the number of transmitted messages and the accuracy of the estimated vehicle queue length.

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  Cite this article

[IEEE Style]

J. Choi, S. Ahn, S. Lee, "Effective Vehicle Queue Length Estimation Mechanism Based on V2I Communications," The Journal of Korean Institute of Communications and Information Sciences, vol. 43, no. 4, pp. 749-756, 2018. DOI: 10.7840/kics.2018.43.4.749.

[ACM Style]

Jonghwa Choi, Sanghyun Ahn, and Seungjae Lee. 2018. Effective Vehicle Queue Length Estimation Mechanism Based on V2I Communications. The Journal of Korean Institute of Communications and Information Sciences, 43, 4, (2018), 749-756. DOI: 10.7840/kics.2018.43.4.749.

[KICS Style]

Jonghwa Choi, Sanghyun Ahn, Seungjae Lee, "Effective Vehicle Queue Length Estimation Mechanism Based on V2I Communications," The Journal of Korean Institute of Communications and Information Sciences, vol. 43, no. 4, pp. 749-756, 4. 2018. (https://doi.org/10.7840/kics.2018.43.4.749)

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pISSN : 1226 - 4717
eISSN : 2287 - 3880