Computational Intelligence Methods in Traffic Management

Abstract

Computational intelligence (CI) is becoming increasingly important in traffic management design, application, and monitoring. CI is often deployed for managing traffic, that is for reducing mileage, congestion, the use of fuels, and environmental impact. The purpose of this paper is to present the three main subjects in a CI approach, namely neural networks, fuzzy logic systems, and evolutionary computation and 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.