A review of computational intelligence methods for traffic management systems

  • Vladimir Ilin University of Novi Sad, Faculty of Technical Sciences
  • Dragan Simić University of Novi Sad, Faculty of Technical Sciences
Keywords: Computational intelligence methods, Neural networks, Fuzzy logic systems, Evolutionary computation, Traffic management systems

Abstract

One of the most important challenges in modern city life is to enable effective and efficient traffic management system. Recently, computational intelligence methods have become increasingly popular for traffic management system design, application, and monitoring. Computational intelligence methods are often deployed for managing traffic, that is for reducing mileage, congestion, the use of fuels, and environmental impact. The aim of this paper is twofold. First, to present the three main areas in a computational intelligence approach, namely neural networks, fuzzy logic systems, and evolutionary computation. Second, to emphasize their impact on various traffic management domains, including traffic flow forecasting, traffic light control, traffic fatalities prediction, traffic sign detection, and optimization of transportation networks.

Downloads

Download data is not yet available.
Published
2021-12-16
How to Cite
Ilin, V., & Simić, D. (2021). A review of computational intelligence methods for traffic management systems. Journal of Road and Traffic Engineering, 67(4), 25-30. https://doi.org/10.31075/PIS.67.04.05