A traffic flow model considering influence of car-following and its echo characteristics

Taking into account the driving characteristics of vehicles following the vehicle in front on the imported lane of urban signalized intersections, we introduce the acceleration parameters of the vehicle and consider the queue length and volatility of the acceleration that have been affected by the time of fixed signal cycles in the mixed traffic flow. Thereby, we obtain a mixed traffic flow cellular automaton model with the effect of acceleration on the imported lane. Through analyzing the results of numerical simulation, it is found that the maximum queue length and the volatility of acceleration have a great influence on the intersection lane mixed traffic flow with the different time of fixed signal cycles and considerably on traffic arriving strength within a certain range. When the intensity is in specific range, the longer the fixed signal cycle, the shorter the maximum queue length, and the greater the volatility of acceleration, which has smaller queue jam affecting the intersection lane mixed traffic flow. Meanwhile, the improved model can reproduce the evolution and propagation characteristics of gathering–dissipating of the traffic wave in the intersection lane mixed traffic flow.