This project bridges the gap between predicted and measured near-road PM2.5 from vehicle emissions, by creating and evaluating the effectiveness of two correction modules.
The purpose of this project is to develop a CENtrally COordinated Shuttle system (CENCOS) which can effectively coordinate airport shuttle schedules and routes in order to minimize curb congestion at the pick-up and drop-off points, reduce operational cost, improve quality of service with considerable benefits to mobility and environment.
This research project aims to support efforts within Caltrans in conducting a wildfire vulnerability risk assessment for fuels reduction in the right of way (ROW) to protect Caltrans’ infrastructur
The researchers created a model to solve the "Empty Container Problem" of freight operations. They tested the model using data from the Port of Los Angeles and the Port of Long Beach.
The purpose of this research is to develop real-time algorithms to reduce traffic congestion and improve routing efficiency via offering personalized incentives to drivers.
The objectives of the research project are to: 1) Combine cooperativity and the EAD to reduce the negative effect of the increasing penetration rate and 2) conduct field tests in existing connected vehicle testbeds and extend the scope to corridors or networks and study the energy optimization approach for multiple intersections.
This project will investigate how connectivity provided by vehicle to infrastructure (V2I) and vehicle to vehicle (V2V) technologies can be used to develop traffic flow control systems that will enhance mobility and safety, and reduce queues at ramps with positive benefits to transportation efficiency and environment.
