Simulation and Analysis of Large-Scale Activity Traffic Flow in Urban Road Networks

摘要

Large scale activity is an important source of urban road network traffic congestion. In this paper, a cellular automaton model is proposed to simulate large scale activity traffic flow in urban two-way-four-lane network systems without signal control at intersections. In the proposed model, a two-lane traffic rule is adopted to represent vehicle movements on road sections, turn lane changing and overtaking lane changing are allowed, and vehicle movements in intersection areas are determined by priority which relies on vehicle position. Simulation results show that the severity of traffic congestion increases with the increase of activity scale and background traffic.