Open AccessA review of computational intelligence methods for traffic management systems
Author(s) -
Vladimir Ilin,
Dragan Simič
Publication year - 2021
Publication title -
put i saobraćaj/put i saobraćaj
Language(s) - English
Resource type - Journals
eISSN - 2406-1557
pISSN - 0478-9733
DOI - 10.31075/pis.67.04.05
Subject(s) - computational intelligence , computer science , traffic flow (computer networking) , advanced traffic management system , traffic congestion , fuzzy logic , floating car data , evolutionary computation , traffic management , traffic optimization , artificial neural network , intelligent transportation system , artificial intelligence , transport engineering , engineering , computer security
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.