traffic

Do Roads Affect Coyote and Gray Fox Movement Equally? A Case Study in Northern California

Research Product Type
Policy Brief
To better understand the dynamic between wildlife and vehicle traffic in Northern California, a study examined whether State Route 49 acts as a barrier to movements of two similar species with different tolerances to human activity. This policy brief summarizes findings from that study and discusses the policy implications.

Dynamic Routing for Ride-Sharing

Research Product Type
Research Report
The research report explored the use of High Occupancy Vehicle (HOV) lanes and meeting points in a ride-sharing system where drivers have their own origin and destination.

Dynamic Routing for Ridesharing

  • Principal Investigator Maged Dessouky, Ph.D.
  • University of Southern California
The objective of this research is to develop dynamic routing algorithms to support ridesharing.
Project Status
Complete

Dynamic Routing to Improve the Efficiency of Ride-Sharing

Research Product Type
Research Brief
Researchers examined the possibility of ride-sharing being able to mitigate traffic congestion by developing a two-stage algorithm to solve the routing problem with ride-share in real-time within a context where ride-sharing drivers are traveling toward their own destinations while making detours to serve passengers with flexible pickup and drop-off locations.

Dynamic Traffic Routing and Adaptive Signal Control in a Connected Vehicles Environment

Research Product Type
Dissertation / Thesis
This dissertation aims to study effective and efficient ways for both travelers and transportation authorities to consider the actions of the other side when they make their corresponding travel or management decisions, such that certain common goals, such as mitigating congestion, reducing cost in travel expenses and improving the overall reliability of the transportation system can be achieved.

Eco-friendly Cooperative Traffic Optimization at Signalized Intersections

Research Product Type
Research Report
In this paper, the authors build upon past research to develop a new cooperative traffic operation approach that takes advantage of not only infrastructure-to-vehicle communications, but also vehicle-to-infrastructure communications. The research was carried out in a high-fidelity simulation environment and shows upwards of 15% fuel savings and 85% reductions in waiting time.

Eco-friendly Cooperative Traffic Optimization at Signalized Intersections

  • Principal Investigator Peng Hao, Ph.D.
  • University of California, Riverside
The research team will build on past research to develop new cooperative traffic operation methods, methods that take advantage of not only infrastructure-to-vehicle communications, but also vehicle-to-infrastructure communications.
Project Status
Complete

Eco-Friendly Intelligent Transportation System Technology for Freight Vehicles

  • Principal Investigator Petros Ioannou, Ph.D.
  • University of Southern California
This project examines intelligent traffic control strategies, which will have positive impact on the environment by reducing fuel consumption and pollution levels in areas where the truck volume is relatively high.
Project Status
Complete