关键词: 交通运输工程；城市交通；自动驾驶出行；行程优化；出行成本

Abstract: With the rapid development of autonomous driving technology, its application will provide more comfortable and convenient travel services. Due to its features such as autonomous driving, cruising and parking, it also enables shared use among family members. Taking household autonomous driving travel as the research object, an optimization model for household autonomous driving trip was constructed, which was based on household log surveys and intention data. Considering factors such as linkages and sequencing of family members’ travel activities, time window constraints, and differences between mandatory and flexible activity demands, autonomous driving trips for typical nuclear families and multi-generational families were optimized. The research indicates that the application of autonomous vehicles can significantly improve household travel efficiency, with total travel time for family members in typical nuclear and multi-generational families decreasing by 58.1% and 62.8%, respectively; carbon emission costs for nuclear families can be reduced by 26.2%. However, at the same time, due to the need for vehicles to undertake pick-up and drop off tasks that are originally completed by multiple vehicles and unmanned dispatch needs, the total mileage of vehicles for nuclear families and multi-generational families increase by 47.2% and 73.5%, respectively, with empty mileage accounting for around 30%. Therefore, measures such as optimizing household travel patterns, promoting vehicle sharing, and implementing charges for empty cruising are needed to mitigate these impacts, and then provide decision support for the future application of autonomous driving technology in household scenarios.

Key words: traffic and transportation engineering; urban traffic; autonomous driving travel; trip optimization; travel cost