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We examine how introduction of Shared Connected and Automated vehicles(SCAVs) as a new mobility mode could affect travel demand, welfare, as well astraffic congestion in the network. To do so, we adapt an agent-based day-to-dayadjustment process and develop a central dispatching system, which isimplemented on an in-house traffic microsimulator. We consider a two-sidedmarket in which demand and SCAV fleet size change endogenously. For dispatchingSCAV fleet size, we take changing traffic conditions into account. There aretwo available transport modes: private Connected Automated Vehicles (CAVs) andSCAVs. The designed system is applied on downtown Toronto network using realdata. The results show that demand of SCAVs goes up by 43 per cent over sevenstudy days from 670 trips on the first day to 959 trips on the seventh day.Whereas, there is a 10 per cent reduction in private CAV demand from 2807 tripsto 2518 trips during the same duration. Moreover, total travel time of thenetwork goes down by seven per cent indicating that traffic congestion wasreduced in the network.

Demand for shared mobility to replace private mobility using connected and automated vehicles