Investigation of traffic radar coverage efficiency under different placement strategies

This paper presents a comprehensive investigation of traffic radar coverage efficiency under different placement strategies in collaboration with Zhejiang Communications Investment Group Company Limited (CICO). The overall goal is to maximise coverage while minimising blind spots and the number of radars, given the constraints of the road. The NSGA-II multi-objective optimisation algorithm is found to be capable of generating a set of optimal solutions for the proposed radar placement configurations. When aiming for 100% coverage, the results indicate that a multi-antenna radar configuration requires the lowest radar density. Overall, this study provides valuable insights to transportation infrastructure owners in determining the best radar placement strategies for road traffic monitoring.

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Publication Details

Journal
IET conference proceedings.
Published
2024-11-01
DOI
https://doi.org/10.1049/icp.2024.3951
Citations
1
Primary Topic
Transport Systems and Technology
Type
article
Field-Weighted Citation Impact
0.21
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Investigation of traffic radar coverage efficiency under different placement strategies

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1 citations
IET conference proceedings.
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article

Investigation of traffic radar coverage efficiency under different placement strategies

David Chieng, Chiew Foong Kwong, Shun Yao, Boon Giin Lee, J. Li, Yusen Chen, Jin Zhou
article en
1 citations

Abstract

This paper presents a comprehensive investigation of traffic radar coverage efficiency under different placement strategies in collaboration with Zhejiang Communications Investment Group Company Limited (CICO). The overall goal is to maximise coverage while minimising blind spots and the number of radars, given the constraints of the road. The NSGA-II multi-objective optimisation algorithm is found to be capable of generating a set of optimal solutions for the proposed radar placement configurations. When aiming for 100% coverage, the results indicate that a multi-antenna radar configuration requires the lowest radar density. Overall, this study provides valuable insights to transportation infrastructure owners in determining the best radar placement strategies for road traffic monitoring.

IET conference proceedings.Vol. 2024(18)
University of Nottingham Ningbo China (CN), Shenzhen University (CN), Zhejiang Energy Group (China) (CN)
Climate action
Openalex Percentile: Top 49%
Transport Systems and Technology
0.21
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