A Survey of Intelligent Transport Systems of Urban Traffic Management

Traffic has been a major problem for cities and various scientific methods are trying to provide scientific and cost-effective systems by controlling this problem. In this paper evaluation and comparison of the advantages and characteristics of these methods and their results have been done by reviewing the latest scientific achievements of intelligent transportation systems. The new methods of control and traffic Supervision in intelligent transport systems focus more on analyzing the topological conditions of traffic information, selecting the appropriate route and predicting traffic. Accuracy, responsiveness and the use of intelligent methods are difference from intelligent transportation systems methods for urban traffic management. Studies have shown that current methods have been able to reduce problems by identifying and collecting traffic information and achieving good results, but integrating existing methods in order to achieve a comprehensive real-time traffic control system is a major need in this area.

کلیدواژه ها:

Intelligent System ، Transportation ، Management ، Urban Traffic ، Traffic Forecasting