Research Article

An Adaptive, Distributed and Intelligent Traffic Light System

Number: 20 December 31, 2020
TR EN

An Adaptive, Distributed and Intelligent Traffic Light System

Abstract

In this study, it is aimed to create a low cost adaptive traffic light system. For this purpose, a probabilistic, discrete-time traffic simulator has been developed that can be used to model existing traffic networks. A unique adaptive traffic light system, which achieves higher service quality compared to a fixed time adjusted traffic light system, was developed and tested on the simulator. It has been shown that the developed system can manage the traffic flow in real time and is not affected by the information loss caused by the oversaturation of the modeled roads.

Keywords

References

  1. Dimitrakopoulos, G., and Demestichas, P. Intelligent transportation systems. IEEE Vehicular Technology Magazine, 5(1), (2010) 77-84.
  2. Studer, L., Ketabdari, M., and Marchionni, G. Analysis of adaptive traffic control systems design of a decision support system for better choices. Journal of Civil and Environmental Engineering, 5(6), (2015) 1-10.
  3. Chintalacheruvu, N., and Muthukumar, V. Video based vehicle detection and its application in intelligent transportation systems. Journal of transportation technologies, 2(4), (2012) 305-314.
  4. Gajda, J., Sroka, R., Stencel, M., Wajda, A., and Zeglen, T. A vehicle classification based on inductive loop detectors. Proceedings of the 18th IEEE Instrumentation and Measurement Technology Conference, (2001) pp. 460-464.
  5. Garcia, F., Cerri, P., Broggi, A., de la Escalera, A., and Armingol, J. M. Data fusion for overtaking vehicle detection based on radar and optical flow. In IEEE Intelligent Vehicles Symposium (2012) pp. 494-499.
  6. Hunt, P. B., Robertson, D. I., Bretherton, R. D., and Royle, M. C. The SCOOT on-line traffic signal optimisation technique. Traffic Engineering & Control, 23(4) (1982) 190-192.
  7. Slavin, C., Feng, W., Figliozzi, M., and Koonce, P. (2013). Statistical study of the impact of adaptive traffic signal control on traffic and transit performance. Transportation Research Record, 2356(1), (2013) 117-126.
  8. Homepage | SCATS. Available at: https://www.scats.nsw.gov.au/. Retrieved September 25, 2020.

Details

Primary Language

English

Subjects

Engineering

Journal Section

Research Article

Publication Date

December 31, 2020

Submission Date

October 1, 2020

Acceptance Date

December 12, 2020

Published in Issue

Year 2020 Number: 20

APA
Erbaş, M. D. (2020). An Adaptive, Distributed and Intelligent Traffic Light System. Avrupa Bilim Ve Teknoloji Dergisi, 20, 866-871. https://doi.org/10.31590/ejosat.831348