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Aug 12, 2020
Real-Time Traffic Status Analysis Methods Based on Smart Light Pole for Typical Urban Traffic Scenes
Authors: Nale Zhao [email protected], Siyuan Hao [email protected], Yizheng Wu [email protected], Jiahui Li [email protected], Keman Wu [email protected], and Chengwu Ji [email protected]Author Affiliations
Publication: CICTP 2020
ABSTRACT
In recent years, smart lighting system develops rapidly in China. As the provider of poles and power supply, the smart lighting system could not only provide intelligent lighting schemes for road users but also give the extra chance of installing more traffic flow sensors and variable message signs which are important for traffic management. Therefore, it is considered more economical to apply smart light pole to traffic management. However, no recognized traffic analysis models based on the smart light pole are established since the smart light pole is just developed. In order to provide the application advice of smart light pole for urban traffic management, this paper focuses on the real-time traffic status analysis methods based on the smart light pole in the urban road network. Three typical urban traffic scenes such as an intersection, a link, and a regional road network are selected, and the smart light pole-based real-time traffic status analysis methods are established respectively. Firstly, oriented to the traffic status analysis, the installation suggestions of smart light pole are given for typical traffic scenes, such as the installation position and the installed devices. Secondly, the traffic models of real-time traffic status analysis in typical urban traffic scenes are proposed. Finally, the analysis methods are established for these scenes. These proposed methods will be helpful to standardize the application of smart light poles in traffic management.
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© 2020 American Society of Civil Engineers.
History
Published online: Aug 12, 2020
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1Research Institute of Highway, Ministry of Transport, 8 Xitucheng Rd., Haidian District, Beijing 100088, China. Email: [email protected]
2Research Institute of Highway, Ministry of Transport, 8 Xitucheng Rd., Haidian District, Beijing 100088, China. Email: [email protected]
3Beijing Jiaotong Univ., 3 Shangyuancun Rd., Haidian District, Beijing 100044, China. Email: [email protected]
4Research Institute of Highway, Ministry of Transport, 8 Xitucheng Rd., Haidian District, Beijing 100088, China. Email: [email protected]
5Research Institute of Highway, Ministry of Transport, 8 Xitucheng Rd., Haidian District, Beijing 100088, China. Email: [email protected]
6Research Institute of Highway, Ministry of Transport, 8 Xitucheng Rd., Haidian District, Beijing 100088, China. Email: [email protected]
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