The uncertainty in work end time can prevent ridesharing between two commuters with identical home and work locations. This effect can be alleviated by autonomous vehicles (AV): when two commuters share a ride from home to work, if the realized work end times result in a long wait between the two, an additional AV can be easily repositioned from home to work, whereas with regular human-driven vehicles one has to either bear the long wait or request expensive taxi service. This observation implies that AVs have great potential for increasing commute ridesharing. To study this effect, we develop evening commute bottleneck models with uncertain work end time and establish mode choice equilibrium for the round-trip commute. We find that, with regular vehicles, because of the expected waiting cost caused by work end time uncertainty, commuters typically do not share rides even though they have the same home and work locations. With AVs, commuters always share rides for the morning commute, and they also share rides for the evening commute if their work end times turn out to be close; otherwise, they reposition an additional AV to pick one of them up. Our numerical examples show that AVs can encourage commute ridesharing and significantly reduce the expected round-trip travel costs for commuters.

工作结束时间的不确定性可以防止在居住地点和工作地点相同的两个通勤者之间共享乘车。无人驾驶汽车（AV）可以减轻这种影响：当两个通勤者共享从家到上班的旅程时，如果实现的工作结束时间导致两者之间的漫长等待，则可以很容易地将另外的AV从家上放到工作地点，而对于普通的人力车，要么要么等待很长时间，要么要求昂贵的出租车服务。此观察结果表明，AV具有增加通勤共享的巨大潜力。为了研究这种影响，我们开发了不确定工作结束时间的夜间通勤瓶颈模型，并为往返通勤建立了模式选择平衡。我们发现，对于普通车辆，由于工作结束时间不确定性而导致的预期等待成本，通勤者通常不共享乘车路线，即使他们的住所和工作地点相同。对于自动驾驶汽车，通勤者总是在早上通勤时共享乘车，如果他们的工作结束时间很近，他们也会在晚上通勤时共享乘车。否则，他们将重新放置额外的AV来拾取其中一个。我们的数值示例表明，自动驾驶汽车可以鼓励通勤共享，并显着降低通勤者的预期往返旅行成本。