Abstract: Intelligent transportation signal control plays an important role in reducing traffic congestion and improving road capacity. The key of signal control is to adjust the traffic lights appropriately according to the traffic flow, which is an adaptive control. In this paper, we propose a new timing strategy. This strategy includes green time optimization and lane combination calculation. According to the real-time traffic flow, we optimize green time and calculate lane combination to adjust the cycle and then we can get the timing plan. The simulation results of random data and actual traffic data show that the strategy we proposed can increase traffic efficiency by more than 15% at intersections, reduce vehicle detention, and relieve traffic congestion.

Ping Guo, Daiwen Lei and Lian Ye, “An Indefinite Cycle Traffic Light Timing Strategy” International Journal of Advanced Computer Science and Applications(IJACSA), 9(5), 2018. http://dx.doi.org/10.14569/IJACSA.2018.090567

@article{Guo2018,
title = {An Indefinite Cycle Traffic Light Timing Strategy},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2018.090567},
url = {http://dx.doi.org/10.14569/IJACSA.2018.090567},
year = {2018},
publisher = {The Science and Information Organization},
volume = {9},
number = {5},
author = {Ping Guo and Daiwen Lei and Lian Ye}
}