An Intelligent Traffic Lights Schedule Approach Using WSNs

Abstract:

We study the problem of traffic lights scheduling in a dynamic three-dimension intersection. In this paper, an intelligent traffic lights schedule approach is proposed to optimize the traffic lights sequence according to traffic data detected and predicted in real-time, e.g. traffic volume, delays and traffic density. Evaluations have been conducted to compare the performance in terms of traffic throughput, and the result depicts that our intelligent approach can obtain better performance.

• Periodical: Advanced Materials Research (Volumes 756-759)
• Pages: 2443-2447
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.756-759.2443
• Online since: September 2013
• Authors: Bin Bin Zhou, Ping Xu, Lu Yi Chen, Jing Jing Liu, Guo Yong Dai
• Keywords: Intelligent Traffic Lights Schedule, Real-Time Traffic Data, Three-Dimension

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