parking

The transportation sector is responsible for a significant part of the U.S.’s greenhouse emissions, with a considerable amount being generated by medium-and heavy-duty trucks. However, when it comes to the trucking industry, ‘green’ routing studies do not consider other critical practical factors, like working hours regulations and parking availability. This study addresses a variant of the shortest path and truck driver scheduling problem under parking availability constraints which focuses on optimizing fuel consumption and emissions by controlling the truck's travel speed and accounting for time-dependent traffic conditions.

This dissertation consists of three chapters that investigate policies aiming for improving private automobile transportation from different angles.

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).

This report 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.

Researchers at the University of California, Davis modeled the travel effects of changes in drop-off and pick-up activity and parking supply that might be triggered by widespread automated vehicle use in San Francisco’s city center. This policy brief summarizes the findings from that research and provides policy implications.