Optimal control of slow traffic at intersections based on green building materials and signal processing technology

Wei Kong; Zijun Liang; Xuejuan Zhan; Kai Zhu; Wei Liu; Ruihan Wang; Mengping Shi

doi:10.1117/12.2628543

7 March 2022 Optimal control of slow traffic at intersections based on green building materials and signal processing technology

Wei Kong, Zijun Liang, Xuejuan Zhan, Kai Zhu, Wei Liu, Ruihan Wang, Mengping Shi

Author Affiliations +

Proceedings Volume 12167, Third International Conference on Electronics and Communication; Network and Computer Technology (ECNCT 2021); 121670B (2022) https://doi.org/10.1117/12.2628543
Event: 2021 Third International Conference on Electronics and Communication, Network and Computer Technology, 2021, Harbin, China

Abstract

Under the influence of China's sustainable development strategy, the design of urban road traffic engineering should adhere to the concept of environmental protection and develop in the direction of green and modernization. This paper proposes a slow traffic optimization at intersections based on green building materials and signal processing technology. The green building materials, such as colored asphalt concrete pavement and polyurethane elastic isolation column, are used for the channelization design of the traffic space for slow traffic at the intersection. Then the slow traffic signal optimization processing technology is used that is the slow traffic signal timing algorithm model to optimize the slow traffic crossing time. Finally, the evaluation and analysis are carried out through VISSIM traffic simulation. The results show that the method presented in this paper can effectively reduce the average delay of vehicles and the average travel time of slow traffic at intersections.

Citation Download Citation

Wei Kong, Zijun Liang, Xuejuan Zhan, Kai Zhu, Wei Liu, Ruihan Wang, and Mengping Shi "Optimal control of slow traffic at intersections based on green building materials and signal processing technology", Proc. SPIE 12167, Third International Conference on Electronics and Communication; Network and Computer Technology (ECNCT 2021), 121670B (7 March 2022); https://doi.org/10.1117/12.2628543

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