关键词: 智能交通, 感知能力, 线性稳定, 交通流模型, 迟滞环

Abstract:

Based on the sensing capacity of driver's driving behavior, a kind of new micro-traffic flow dynamics model is proposed in this paper. Through theoretical analysis and numerical simulation, the performance of the new model is studied in detail. Through theoretical analysis and based on linear stability theory, the stability conditions of the new model are obtained. Through numerical simulation, the influence of various parameters on the optimal speed is analyzed in depth, and then the influence on traffic flow stability is analyzed. The simulation results show that driver's sensing capability have a significant impact on traffic flow stability. The intensity of headway change information can effectively enhance the stability of traffic flow and significantly compress stopand- go traffic jams. However, the increase of perception buffer time will inevitably destroy traffic stability, resulting in serious stop- and- go traffic congestion. The numerical results of density waves and hysteresis loops with different parameters are in good agreement with the theoretical results, which verifies the theoretical results.

Key words: intelligent transportation, sensing capability, linear stability, traffic flow model, hysteresis loop