The researchers created a model to understand the traffic and environmental impacts of truck-only lanes, using a proposed highway project in Georgia as a case study.
The purpose of this study is to develop an analytical framework for assignment of individual vehicular trips into viable carpooling pairs under a constrained set of reasonable restrictions, such as temporal and spatial bounds/limits and user preferences.
Community-based carpooling has the potential to alleviate traffic congestion and reduce the transportation carbon footprint. One of the major barriers to implementation is the difficulty of optimizing carpool formation in large systems. This study utilizes two different methods to solve the carpooling optimization problem: 1) bipartite algorithm and 2) integer linear programming.
This study used a spatial economic model developed for the Sacramento region and an advanced travel demand model to simulate a land use and transportation plan from 2014 to 2030.
The researchers used microsimulation models to measure costs and benefits of transit-oriented development, with a particular emphasis on equity and environment.
The NCST congratulates our UC Riverside and UC Davis dissertation grant and graduate fellowship recipients for the Fall 2020 cycle! Our recent awardees are contributing to research on electric vehicle charging infrastructure, pavement performance, highway traffic management, ridehailing, and disaster modeling!
Transportation policies, plans, and projects all flow through state institutions because of the substantial cost of infrastructure and the need to assess transportation system performance, includin
