Connected and automated vehicle (CAV) technologies attracted extensive attention in the past decade. As CAV brings convenience to travel, people's travel behaviors and patterns might change significantly. Existing models, however, cannot comprehensively evaluate the impacts on transportation systems. This study adopted an activity-based approach to evaluate the comprehensive CAV impacts on the transportation system in Southern California. A stated-preference survey was conducted, and captured people's behavior changes associated with CAV deployment. The model prediction demonstrated that the total trip number increased by 9%, with an 13% growth in total car-like mode travel distance. Among all trip purposes, work trips contributed to 49% of total trip number growth and 75% of the increased car-like mode travel distance. The advanced CAV technology alone wouldn’t directly benefit future transportation systems and it is still critical to have appropriate policy interventions in place.

联网和自动驾驶汽车 (CAV) 技术在过去十年中引起了广泛关注。随着 CAV 给出行带来便利，人们的出行行为和方式可能会发生显着变化。然而，现有模型无法全面评估对交通系统的影响。本研究采用基于活动的方法来评估 CAV 对南加州交通系统的综合影响。进行了一项既定偏好调查，并捕获了与 CAV 部署相关的人们的行为变化。模型预测表明，总出行次数增加了 9%，类车模式出行总距离增加了 13%。在所有出行目的中，工作出行贡献了总出行次数增长的 49% 和增加的类汽车出行距离的 75%。