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SIMULATOR OF BEHAVIOURAL ASPECTS FOR SAFER TRANSPORT

Project description

Improving road safety through behavioural simulation

Tens of thousands of Europeans die or suffer severe injuries every year due to road traffic accidents. Yet, our understanding of the complex collective and individual behaviours of drivers, two-wheelers and pedestrians involved in accidents remains inadequate. In this context, the EU-funded SimuSafe project aims to develop a realistic and comprehensive simulator that focuses on behavioural aspects, enhancing safety in road transportation. Based on the methodology of road user simulators, the research will involve creating a data collection to analyse and develop behavioural models by correlating simulators with naturalistic driving tests. Additionally, the project will develop tools to effectively translate real traffic scenarios into simulated environments, facilitating the creation of innovative devices and training tools to provide support for European roads.

Objective

Road transport is known to be the most dangerous of all transport modes and poses a major societal challenge for EU. It has been claimed that 90% of road-traffic crashes are caused by driver error, being a significant factor in traffic accidents. Improving road safety means understanding the individual and collective behaviour of actors involved (drivers, two wheelers, pedestrians) and their interaction between themselves and safety-related systems and services. The goal of SIMUSAFE (SIMUlator of Behavioural Aspects for SAFEr Transport) following the FESTA-V model methodology is to develop realistic multi-agent behavioural models in a transit environment where researchers will be able to monitor and introduce changes in every aspect, gathering data not available in real world conditions.
Driving simulators of several vehicles (cars, motorcycles, bicycles) and Virtual Reality (for pedestrians) will be used to simulate test environments. This will also enable the evaluation of scenarios which are not possible even with naturalistic driving (dangerous conditions, multiple monitored actors in the same scene, under influence of substances). Data collected from simulations will be correlated with naturalistic driving tests, such that the simulation and model aspects are the closest possible to real world data. From the developed model and collected data, impacting factors causing an event (crash, near-collision, infractions) from the environment and road users will be identified and quantified. Such knowledge will be the base for the development of more effective and pro-active measures for the prevention and mitigation of such factors, with subsequent impact in the safety devices market, regulations and driver education.

Call for proposal

H2020-MG-2016-2017

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Sub call

H2020-MG-2016-Two-Stages

Coordinator

FUNDACION INSTITUTO TECNOLOGICO DE CASTILLA Y LEON
Net EU contribution
€ 873 125,00
Address
CALLE LOPEZ BRAVO 70 POLIGONO INDUSTRIAL
09001 Villalonquejar Burgos
Spain

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Region
Centro (ES) Castilla y León Burgos
Activity type
Research Organisations
Links
Total cost
€ 873 125,00

Participants (20)