The negative impact of motorized traffic (congestion, incidents and air pollution) continues to grow the next years. The Ministery of Transport and the Environment tries to reduce this growth with the ‘Beter Benutten’ program. Technological developments help the mobility sector and all stakeholders involved to monitor and improve road conditions as well as traffic flow reducing the negative impacts of traffic. Especially data derived from vehicles (in-car systems), sensors & cameras along the road and in urban environments as well as other data sources (e.g. weather forcast) have great value when combined. Sensors, computers and computer code continuously improve the ability to better inform drivers or to take over more tasks of the driver towards the future.
However, the use, management and editing of all this data to monitor and improve both road conditions as traffic flow is proven difficult. The quality of data is often not clear and even varies among car-brands, car-types, countries and even regions or cities. This causes challenges that needs to be tackled to make autonomous driving possible towards the future.
The partners of the VIA NOVA project explore which data sources are available to be used in specific user cases. The project aims to create overview which data sources are applicable and accurate for specific user-cases, e.g. road de-icing, traffic jam predictions and accident information. Understanding these relations will lead to recommendations on quality demands for data and sensors for future user-cases in relation to autonomous driving.
This research fits within the ambition of NHTV to be actively involved in applied research with partners from the industry. The project enables NHTV Built Environment (Mobility, Urban Design and Spatial Planning) as well as Logistic students to become familiar with all aspects related to the transition to smart mobility & logistics. Cross sectoral collaborations and understanding becomes more important in the industries of Built Environment and Logistics. Specific questions derived from the work packages of the VIA NOVA project will be introduced to our students through the educational programs and we actively try to link our students to the network of partners through internships and graduations pojects. When needed, students will be actively involved in research or contribute to other activities related to the VIA NOVA project.
HAN Automotive Research, AutomotiveNL, Bijer Automotive, Centrum voor Wiskunde en Informatica, Fontys, RAI, HTC parking systems, Keypoint Consultancy, Leiniz Centre for Law, MAP Traffic Managements, Rijkswaterstaat, Saxion (informatica/wiskunde), SD Insights, Simacan, Trinité Automatisering BV, University of Twente, V-Tron
Phase 1: 2017 -2019
Phase 2: 2020-2021