Research Product Type
Associated Publication
The potential for automated vehicles (AVs) to reduce parking in central cities has generated much excitement among urban planners. However, a reduction in parking could be accompanied by increased demand for curbside DO/PU space with related movements to enter and exit the flow of traffic.This study uses a microscopic road traffic model with local travel activity data to simulate personal AV parking scenarios in San Francisco’s downtown central business district (CBD).