Performance Evaluation of Signalized Intersections with an Intelligent Control Approach - A Case Study in the Pollution Control Zone of Tehran

Articles in Press

Document Type : Original Article

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Transportation planning department, Civil and Environment Engineering, Tarbiat Modares University, Tehran, Iran

10.22034/road.2024.446422.2264

Abstract

With the increase in population in urban and rural areas, transportation systems require less efficient management to meet growing demands. Space and resource constraints for infrastructure improvements lead to issues that impact urban life. The increase in demand for mobility can affect environmental, traffic, and safety parameters. intersections can be mentioned as main centers of congestion, delay, pollutant emissions, and safety hazards. This situation presents a fundamental challenge for improving and optimally controlling traffic within the current infrastructure framework.



In this study, the existing demand is first assigned dynamically using the Gawron Path Selection Algorithm over 5 iterations. Then, the performance of 5 scenarios for controlling signalized intersections, including two intelligent approaches based on time spacing and delay, is investigated using microsimulation within the pollution control framework in terms of safety, environmental, and traffic concerns in Tehran. The results show that smart signalized intersection control can reduce queue length by up to 64% and fuel consumption by around 16%. The results of this study can assist transportation system operators in decision-making regarding intersection intelligence optimization.

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