Projects

  • OptFlow - Travel-time estimation with FLIR cameras sensors

Novel sensor technology represents a significant potential for traffic management in cities. Thermal cameras in particular have recently gained considerable importance and are now also to be used in the Traffic Management Department (DAV) of the City of Zurich. In this context, the determination of accurate travel times plays a central role, which is to be carried out much more precisely by means of thermal cameras than with the previously used sensor technology. Nevertheless, an efficient application will require a scientific investigation of the measurement accuracy, the required sensor density in the study area as well as the sensor positioning. In order to answer these open questions, this research project focuses on the determination of travel times.

The raw data provided by the sensors is examined, travel times derived and compared with the evaluation software provided for the cameras and a comparative data set (GoogleTraffic, TomTom). In this way, it is investigated for the DAV how accurately travel times can be measured with the current sensor density and positioning. In addition, the potential for improved traffic management through thermal imaging cameras is shown.

JRC AUTOTRAC 2020 is the first autonomous vehicle traffic competition. Differently from other competitions involving small-scale automated vehicles (AVs), AUTOTRAC is about vehicles’ cooperation behavior rather than their individual capacity to complete a certain path.

The final event of the competition was held in the form of an online event on 17 June 2021 as part of the 7th International IEEE Conference on Models and Technologies for Intelligent Transportation Systems.

JRC organizes experimental campaigns for the assessment of advanced vehicle technologies, currently available in commercial vehicles and considered a proxy for the first Automated Vehicles in the near future.

  • Towards a Connected, Coordinated and Automated Road Transport (C2ART) system

The Joint Research Centre (JRC) is investigating the impacts of CAV technologies through a combined approach based on traffic modelling and simulation, desk research and stakeholders’ consultation.

The project investigated the applicability and market potential of blockchain technology for asset sharing in the road transport sector. The project comprised two principal activities. The first activity was market research and analysis to support the development of a new service concept and business model for blockchain-powered shared mobility. The second activity was technology prototyping to demonstrate the technical feasibility of the novel service concept using state of the art blockchain and IoT frameworks.

  • JRC Container Traffic Monitoring System - ConTraffic

Application of Information-based risk analysis using container movement data to control containerized cargo, target high-risk consignments and proceed with costly physical checks, only where needed.