Research Brief

Traffic congestion is a significant problem in major metropolitan areas in the United States. According to the Urban Mobility Report, in 2019 commuters on average lost about 54 hours in traffic congestion. The researchers developed three approaches to rideshare routing and evaluated their effectiveness in combating traffic congestion.

This research brief summarizes findings from a study in which researchers investigated the use of higher percentages of reclaimed asphalt pavement and asphalt roofing shingles as a partial replacement for the virgin binder in new asphalt mixes.

Researchers at the University of Southern California developed a distributed algorithm for offering incentives to organizations to make socially optimal routing decisions designed to lower the traffic flow of congested roads without creating new congestion in other parts of the road network.

This research brief summarizes the findings from University of Vermont work to develop a new parameter that could serve as the basis for future hybrid vehicle emissions models: the instantaneous hybridization factor.

This research brief summarizes findings from the associated project, the objective of which was to generate parking assist algorithms that can help truck drivers better plan their trips.

By 2030, the state is targeting 90% of passenger miles traveled on TNCs to be fueled by electricity. To support this objective, UC Davis researchers developed an online tool to help gig drivers understand their potential cost savings from EVs.

This research proposes a utility learning mechanism to estimate drivers' routing preferences for coordinated routing systems. This research brief discusses the results and effectiveness of the coordinated routing system and the utility learning mechanism.

Researchers at the University of California, Riverside aimed to establish a test method to determine brake activity of a heavy-duty vehicle under both dynamometer tests and on-road tests.

This research develops efficient deployment strategies for logistics companies with new alternative fuel vehicles.

This research brief presents results from a freight/passenger rail simulation that evaluated the effectiveness of proposed new scheduling and dispatching algorithms using Positive Train Control (PTC).