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SimuSafe

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SIMULATOR OF BEHAVIOURAL ASPECTS FOR SAFER TRANSPORT

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 tr... ver más

31/05/2021

ITCL

9M€

Presupuesto del proyecto: 9M€

Líder del proyecto

INSTITUTO TECNOLOGICO DE CASTILLA Y LEON No se ha especificado una descripción o un objeto social para esta compañía.

TRL 2-3 | 50K€

Fecha límite participación Sin fecha límite de participación.

Ver 22 Participantes

Financiación concedida El organismo H2020 notifico la concesión del proyecto el día 2021-05-31

MG-3.5-2016: Behavioural aspects for safer trans...

I+D

Cerrada hace 9 años

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Información adicional privada

No hay información privada compartida para este proyecto. Habla con el coordinador.

22 Participantes

ITCL

873.13K€ | Lider

U.PORTO

384.38K€ | Participante

UNIVERSITE GUSTAVE EIFFEL

664.05K€ | Participante

MDU

753.83K€ | Participante

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Duración del proyecto: 48 meses Fecha Inicio: 2017-05-22
Fecha Fin: 2021-05-31

Líder del proyecto

INSTITUTO TECNOLOGICO DE CASTILLA Y LEON No se ha especificado una descripción o un objeto social para esta compañía.

TRL 2-3 | 50K€

Presupuesto del proyecto 9M€

Fecha límite de participación Sin fecha límite de participación.

Descripción del proyecto 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.

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