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The Swedish National Road and Transport Research Institute (VTI)
Linköping University

Current projects

  • AQSensor 2:  air quality sensing for estimation and control of traffic-induced emissions
    This project aims for accurate measurement of traffic conditions and their environmental impacts.
  • Bicycle traffic simulation
    The purpose of the project is to investigate how bicycle traffic simulation can be improved to capture cyclists' behavior more accurately and enable microscopic traffic simulation analyses of bicycle traffic.

  • Large-scale transport model for cycling  
    In this project, the overall goal is to develop a regional transport model for better predicting bicycle demand as well as facilitating cost-benefit analysis for bicycle infrastructure investments.

  • MMTL
    The project aims to develop new methods for estimating travel demand as well as mode and route choice for multimodal traffic management. Potential effects of multimodal traffic management will also be analyzed in the project.

  • Modelling of micro-mobility (M3)
    The purpose of this project is to create a better understanding of how people use the shared e-scooter services and what their travel patterns look like, in order to identify the type of travel that constitutes the market niche in total mobility.

  • Next generation motorway traffic control  
    In this project, the overall goal is to support the Swedish Road Administration in the implementation of the development of the MCS in Stockholm.
  • POST 1 & 2
    “Prediction and scenario-based traffic management ” is based on the Mobile Millennium system for real-time estimation and short-term prediction of traffic situations. The plan for the continuation project POST2 is to continue to develop the framework by improving the components.
  • Public transport prioritization by dynamic bus lanes
    This project will investigate for which traffic situations, in a Swedish context, that dynamic bus lanes are a suitable measure and how such bus lanes influence energy usage and traffic performance for both public transport vehicles and other traffic.
  • SMART 1 & 2
    The aim of the project is to enhance and further develop todays state-of-the-art traffic models in order to enable analysis of future traffic systems.

  • Smart transfer nodes  
    This project will develop methods and tools to support station planning and operations with respect to passenger streams, the surrounding traffic system and the impact on crowding in vehicles.