Dashboards for Decision Support in Highway Congestion Management
Congestion on the roads is a big problem in many cities around the world, and both in the USA and in Sweden. Congestion leads to increased travel time, increased fuel consumption and more air pollution, which makes the reduction of congestion an important problem to solve. This project will start a new collaboration between Linköping University (LiU), the Royal Institute of Technology (KTH), Sweden and Xtelligent, USA.
The project will be based on previous research at LiU and KTH about traffic management and the development and implementations made by Xtelligent in the USA.
The project partners will collaborate on the development of visual information panels (dashboards) based on traffic flow data and study the potential with to incorporate traffic control in situations where a traffic control center suggests diversion alternatives.
The results from the project will contribute to new knowledge to develop future traffic management strategies with a majority of connected vehicles. The project will also be a step in the direction of increased knowledge transfer from applied research and implementation of traffic management strategies between Sweden and the USA.
The project will be carried out to identify the next steps for closer collaboration to build out connected intelligent transport system technologies (C-ITS) that can benefit from mutual knowledge sharing and collaboration towards technology transfer and commercialization across the US and Sweden.
Project manager: Clas Rydergren, Linköping University
Parties: Linköping University, KTH Royal Institute of Technology, Xtelligent
Period: 2023 to 2025