The prospect of autonomous vehicles (AVs) offers the possibility that a household could reduce household owned vehicles to a single vehicle. At the same time, with AVs, a Shared Autonomous Vehicle (SAV) system will rise as a primary mode of serving travel demands. This study aims to model households’ activity/travel decisions using both household owned AVs as well as readily available SAVs to perform daily activities. We formulate the Household Activity Pattern Problem with Autonomous Vehicles and Ride Sourcing (HAPPAV-RS), as a mixed integer linear program. The model generates an optimal activity/travel patterns for household members under spatial and temporal constraints. The model can capture driverless operations such as AV pick-up and drop-off, parking availability, empty trips and ridesharing among household members, as well as the use of SAVs with the request waiting time. A decomposition method is used to solve the NP-hard problem HAPPAV-RS. scenarios on using AVs and SAVs with different travel mode availability, AV/SAV cost and SAV waiting time are designed to enable sensitivity analysis. Various travel metrics such as activity pattern feasibility, household’s total travel disutility, travel mode VMT and AV-SAV trip coverage are reported.

自动驾驶汽车（AVs）的前景提供了一种可能性，即家庭可以将家庭拥有的车辆减少为单辆车辆。同时，借助自动驾驶汽车，共享自动驾驶汽车（SAV）系统将成为满足旅行需求的主要方式。这项研究旨在使用家庭拥有的AV和易于使用的SAV来执行家庭日常活动，从而为家庭的活动/旅行决策建模。我们用混合整数线性程序将自主车辆和乘车来源的家庭活动模式问题（HAPPAV-RS）公式化。该模型在空间和时间约束下为家庭成员生成最佳活动/旅行模式。该模型可以捕获无人驾驶操作，例如AV接送，停车可用性，空车旅行和家庭成员之间的拼车，以及使用带有请求等待时间的SAV。分解方法用于解决NP难问题HAPPAV-RS。使用具有不同行驶模式可用性的AV和SAV的场景，AV / SAV成本和SAV等待时间旨在进行敏感性分析。报告了各种旅行指标，例如活动模式的可行性，家庭的总旅行无效，旅行模式VMT和AV-SAV旅行覆盖率。