Optimization Models for Urban Traffic Management

Author:

Stoilova Krasimira1,Stoilov Todor1

Affiliation:

1. Institute of Information and Communication Technologies, Bulgarian Academy of Sciences, “Acad. G. Bonchev” str. bl.2, Sofia, BULGARIA

Abstract

The main control tool for traffic management in urban areas is traffic light settings. The goal is to decrease the queue lengths at intersections. Usually, the duration of the green light of the traffic light is used for control. The control approach is based on the so-called “store-and-forward” model. However, this model does not reflect the stochastic nature of traffic dynamics. This study presents a model with some probabilistic conditions approximating real traffic behavior. An additional contribution concerns the definition of a bi-level optimization model that simultaneously optimizes the green light and traffic light cycle duration of an urban network of four intersections. Three traffic management optimization problems are defined and solved. Their solutions are graphically illustrated and commented on. Bi-level optimization outperforms by giving lower values of queue lengths compared to classical and stochastic nonlinear optimization problems in the considered network.

Publisher

World Scientific and Engineering Academy and Society (WSEAS)

Subject

Artificial Intelligence,General Mathematics,Control and Systems Engineering

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Smart Traffic Lights System of Vienna city;2023 International Conference on Applied Mathematics & Computer Science (ICAMCS);2023-08-08

2. Sensitivity Analysis of the Calibration of Dataset for a Road Traffic Noise Multilinear Regressive Model;2023 27th International Conference on Circuits, Systems, Communications and Computers (CSCC);2023-07-19

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