Abstract
With the development of the globalization, the living standard has been improved. The increased number of vehicles on road made the method of controlling the traffic light which is traditional and empirical with poor efficiency. The default traffic light system can not satisfy peoples travel demand especially on the congested intersection. The intelligent traffic light system can adapt to the flow at the intersection and change the Traffic Light Duration Cycle (TLDC) in order to reduce travel time of all vehicles. Moreover, there are High Priority Vehicles (HPV) on road, designed to reach the destination on time. So they should be given privileges to avoid traffic jams. The proposed work, based on the priority of vehicles, aims at providing an intelligent traffic light system which the HPV can send request to after be loaded at junction. According to the highest priority, System would turn traffic light green to clear the Road Segment (RS) for saving travel time of HPV. The system is tested on Simulation of Urban Mobility (SUMO) and use the Traffic Control Interface (TraCI) of Python. The results show the effectiveness of the intelligent traffic light system. It may has significant theoretical as well as practical value for Intelligent Transportation System (ITS) in the future.
Supported by National Natural Science Foundation of China (No. 61972456).
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Li, G., Song, G., Li, W. (2019). Intelligent Traffic Light System for High Priority Vehicles. In: Guo, S., Liu, K., Chen, C., Huang, H. (eds) Wireless Sensor Networks. CWSN 2019. Communications in Computer and Information Science, vol 1101. Springer, Singapore. https://doi.org/10.1007/978-981-15-1785-3_16
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DOI: https://doi.org/10.1007/978-981-15-1785-3_16
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