A Study of Shared Travel Behavior in Household-Based Autonomous Vehicles

With the rapid development of the economy in China, traffic congestion and low utilization of transportation resources are gradually increasing; autonomous vehicle shared travel as a new travel mode can effectively solve these problems. But household decision-making behavior is the core content; how households use autonomous vehicles will have a significant impact on future markets and travel modes, so it is necessary to study autonomous vehicle shared travel behavior under different travel scenarios based on household travel behavior. This paper firstly investigated several household information to obtain specific travel activity patterns, then designed the optimal shared travel plans for each pattern by establishing a household autonomous vehicle shared travel model. The results show that a household with one autonomous vehicle can meet the daily travel needs of all household members, and the realization of household autonomous vehicle sharing can effectively improve the daily utilization rate of the vehicle.