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Simulation of Urban Traffic Flow Using Personal Experience of Drivers

In recent years, with increasing population and number of private and public transport vehicles, traffic flow and its control, become a major and popular challenge. Working on control and simulation of traffic flow takes back to 20th century. In order to study and simulate traffic flow, we need to understand this issue and factors that cause congestion in the network and its problems. In recent years, researchers introduced novel methods to work with traffic flow. Those methods were intelligent models. Intelligent models inspired from nature and have some specific useful properties for controlling traffic rate. This paper introduced a new model that named Personal Experience of Driver (PED). Our method is an intelligent model for simulating traffic flow. This method models natural behavior of drivers. Results show that this model properly simulates urban traffic flow based on personal experience of drivers. Keywords-component Urban Traffic Flow, Intelligent Simulation, Personal Experience, Driver Behavior.