A cellular automaton model of public transport system based on cruise control

Concerning the public transport system, a new cellular automaton model of traffic is proposed using the cruise control approach. In the model, the buses would cooperate with other ones while driving and adjust their speeds based on the difference value between the current headway and the desired one. Numerical simulation results show that the proposed model can reproduce clustering of the buses along the route. By incorporating a cruise control strategy, the model helps in reducing the undesirable tendency of clustering by dispersing the buses uniformly along the route, and increasing the average speed and decreasing the average number of waiting passengers in public transport system. The system performance is then improved with the cruise control strategy, which has certain applicability and practical significance.