Abstract

Traffic lights as one of the key components at intersections, have an important role in the control of traffic flow. Delays occurring at signalized intersections significantly affect the travel time. Hence, coordinating intersections is one of the most effective ways to achieve a steady flow of traffic. By means of illuminated and signalcoordinated intersections, the delay time, queue length, and travel time of vehicles moving on arterial roads may be significantly reduced. Autonomous vehicles developed within the scope of todays technology have now become a part of transportation systems. This paper evaluates the effectiveness of autonomous vehicle systems to minimize delays at intersections.

References

[1] NIGARNJANAGOOL, S., & Hussein, D. I. A. (2005). Evaluation of a dynamic signal optimization control model using traffic simulation. IATSS research, 29(1), 22-30.

[2] Traffic Signal Settings, by F.V. Webster, Road Research Technical paper no. 39, Ministry of Transport, Her Majesty’s Stationary Office, 1958.

[3] Li, Y., Wei, D. D., Mu, Z., Xiong, Z. H., Wang, Y. H., & Yin, W. S. (2015). Study of the timecollocation of the signal lamp at intersection. Mathematical modeling of engineering problems, 2(2), 5- 10.

[4] Liu, H., Rai, L., Wang, J., & Ren, C. (2019). A new approach for real-time traffic delay estimation based on cooperative vehicle-infrastructure systems at the signal intersection. Arabian Journal for Science and Engineering, 44(3), 2613-2625.

[5] Cheng, D. & Messer, C. & Tian, Z. & Liu, J. Modification of Webster ́s Minimum Delay Cycle Length Equation Based on HCM 2000. Paper Submitted to the Transportation Research Board for Presentation and Publication at the 2003 Annual Meeting in Washington. D.C. 2003.

[6] M. Ramezani, J. A. Machado, A. Skabardonis and N. Geroliminis, "Capacity and delay analysis of arterials with mixed autonomous and human-driven vehicles," 2017 5th IEEE International Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS), 2017, pp. 280-284, doi: 10.1109/MTITS.2017.8005680.