This data repository is for the "Lane-Level Localization and Map Matching for Advanced Connected and Automated Vehicle (CAV) Applications" project. This project investigated and demonstrated the utility of lane-level map-matching and localization.
Researchers propose a hierarchical ramp control system that allows microscopic cooperative maneuvers for connected and automated electric vehicles (CAEVs) on the ramp to merge into mainline traffic flow under certain controlled ramp inflow rate.
In this project report, the authors present an agent-based online adaptive signal control strategy based on real-time traffic information available from vehicles equipped with connected vehicle technology.
This project focuses on safety, mobility, and environmental sustainability Measures of Effectiveness (MOEs) of Connected and Automated Vehicle (CAV) applications.
This project focuses on Connected and/or Automated Vehicle (CAV) applications. The researchers studied different types of CAV applications in terms of measures of effectiveness.
Join us from February 26-28, 2024 at FISTS, a platform dedicated to bringing together world leaders in Intelligent Transportation Systems with a focus on the environment and sustainability.
This project studied truck parking problems and generated useful information and parking assist algorithms that could assist truck drivers in better planning their trips.
In this white paper, state-of-the practice intelligent transportation system (ITS) programs that are environmentally beneficial are highlighted spanning the three main areas of ITS, including, Vehicle Systems, Traffic Management Systems, and Traveler Information Systems.
