A Flexible Model for Traffic Simulation and Traffic Signal Control Optimization
نویسنده
چکیده
The aim of this work is to develop a flexible traffic model based on the recent development of traffic theory and apply the developed model to simulate traffic and signal control in order to identify the optimal signal control policy in several traffic scenarios. The paper starts with a review of the cell transmission model, a widely used model in traffic theory. Several impracticalities of the theory are pointed out and necessary modifications are offered in order to build a flexible computer based traffic model successfully. Finally, the developed model is used for an empirical evaluation of three common traffic signal control policies in different traffic scenarios to identify their strengths and weaknesses, which is essential for optimizing traffic control. The result shows numerical performance comparison between the evaluated policies for each traffic scenario, hence provides answers to an important class of questions: “Which signal control policy is suitable for which traffic scenario?”.
منابع مشابه
Optimal Signal Control in Urban Road Networks with High Priority Congested Centers
Keeping the density of traffic flow and air pollution in an acceptable level and developing a good capacity for transit in the high priority areas of the city, is really a big deal in large and crowded cities. To address this problem, a new method of intersection signal optimization is presented in this paper. Based on network fundamental diagrams, an Internal–External Traffic Metering Strategy...
متن کاملOptimizing Flexible Manufacturing System: A Developed Computer Simulation Model
In recent years, flexible manufacturing system as a response to market demands has been proposed to increase product diversity, optimum utilization of machines andperiods of short-term products.The development of computer systems has provided the ability to build machines with high functionality and the necessary flexibility to perform various operations. However, due to the complexity and the ...
متن کاملTraffic Signal Prediction Using Elman Neural Network and Particle Swarm Optimization
Prediction of traffic is very crucial for its management. Because of human involvement in the generation of this phenomenon, traffic signal is normally accompanied by noise and high levels of non-stationarity. Therefore, traffic signal prediction as one of the important subjects of study has attracted researchers’ interests. In this study, a combinatorial approach is proposed for traffic signal...
متن کاملModeling and Simulation of Traffic Lights on the High Contrast and Brightness Conditions and Structure Technology
Nowadays, the use of intelligent control systems to reduce human error is one of the most popularresearch fields. Design and implementation of such controllers requires to actual knowledge of theenvironment conditions. Traffic lights as one of the inputs of intelligent control systems are significant.usually the traffic lights have the various physical structure. also, generally in image proces...
متن کاملDeveloping an Analytical Model and Simulation of The Contraflow Left-Turn Lane at Signalized Intersections
At some intersections, excessive queue lengths may spill out of the left-turn bay and block the through lanes, jeopardizing level of service for the entire intersection. One of the most effective plans recently presented by the researchers is the "Contraflow left-turn lane" (CLL) In this method, left-turn vehicles will use the nearest lane in the opposite direction in addition to the usual left...
متن کامل