A Cellular Automata Traffic Flow Model Based on Safe Lane-Changing Distance Constraint Rule

Based on the further research of STCA and F-STCA cellular automata traffic flow model, combined with the actual situation of the symmetric same direction two-lane traffic flow, improved the risk description of vehicle lane-changing in the driving, a more perfect distance constraint rule and cellular automata traffic flow model are proposed, which are more in line with the actual situation of symmetric same direction two-lane traffic flow. The simulation experiment has been done based on the MATLAB simulation environment, the experimental results show that the distance constraint rule and traffic flow model can greatly increase the frequency of vehicle acceleration and lane-changing, which is beneficial to the improvement of traffic speed, reduce the density of traffic flow and reduce road congestion, under the premise of ensuring the safety of symmetric same direction two-lane safe lane-changing. From the point of view of traffic safety and improving traffic environment, the new rule and model are more conform to the actual situation of the symmetric same direction two-lane traffic flow.