The impact of information suggestion strategy on the three-route system with a speed bottleneck based on cellular automata model

Based on cellular automata model, the impact of information suggestion on the traffic flow of a three-route system has been studied. In the model, we assume that a speed limit bottleneck exists on one route. When vehicles drive past this bottleneck, their speed will be reduced to 0. By simulation, it was found that a big traffic jam appears before this bottleneck. To alleviate this kind of traffic jams, an information suggestion strategy (ISS) has been introduced. By this strategy, the vehicles could choose a better route to drive according to the real-time traffic information. Simulation results indicate that ISS could significantly balance the distribution of vehicles on the routes, and effectively resist the formation of large traffic jams. Moreover, only 30% route-choice probability could achieve the best optimal effect of the information strategy.