OUR AIM
To improve driving simulator and traffic simulation technology to safely assess risk perception and decision making of road users
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SIMUSAFE Impacts
Reduction of fatal, serious, and minor crashes through mitigation of unsafe transport user behaviour patterns. Economic savings linked to the reduction of crashes.
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Vision
SIMUSAFE will focus on the most at-risk transportation situations by looking at dangerous road designs as well as the altered driving conditions that frequently impair road users.
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PROCESS
In order to build more realistic driving simulators and simulation models, SIMUSAFE will collect and integrate multiple sources of road user data in three research cycles
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Objectives
An Actor Model of each type (car, pedestrian, two-wheeler) integrating neurometrics and aggregated vehicular/environmental data from naturalistic driving and simulators for identification and representation of driving patterns and computation of risk metrics.
Get StartedAcademic Outputs
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Public Deliverables
The second SIMUSAFE newsletter is available for perusing and /or downloading. Take a look and see what the partners have been up to in the last several months...
Dissemination
In November 2018, SIMUSAFE presented its current status and findings at the H2020RTR18 European Conference in Brussels. This event was meant to get...
About Us
Road transport is known to be the most dangerous of all transport modes and poses a major societal challenge for the EU. According to the European Commission (ec.europa.eu), road crashes cause almost 30,000 fatalities and more than 100,000 serious injuries a year in the EU. In 2015, there were more than 26,000 road fatalities in the EU.
Our Vision
Currently, driving simulators and traffic simulation models have limited use in safety studies due to the limited realism of road users’ behaviours in models... read more
Our Process
In order to build more realistic driving simulators and simulation models, SIMUSAFE will collect and integrate multiple sources of road user data in three research... read more
Our Objectives
An Actor Model of each type (car, pedestrian, two-wheeler) integrating neurometrics and aggregated vehicular/environmental data from naturalistic driving and simulators... read more
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Our Team
Giuseppe Cantisani
Associate Professor
GIUSEPPE CANTISANI is an Associate Professor of “Roads Railways and Airports” at the Faculty of Civil and Industrial Engineering of the “Sapienza – University of Rome”.
Shahina Begum
Professor
Shahina Begum, Professor, Deputy leader of Artificial Intelligence and Intelligent Systems research group at Mälardalen University (MDH).
Carlos Alberto Catalina Ortega
Project Coordinator
Carlos Alberto Catalina Ortega Director of the Simulation Technologies unit at ITCL consisting of 14 people.
Marteyn Van Gasteren
Engineer (M.Sc.) in Information Technology
Marteyn Van Gasteren is an Engineer (M.Sc.) in Information Technology from the Eindhoven University of Technology, the Netherlands.
Marta Escobar-Ballesta
Research Project Manager
Marta Escobar-Ballesta holds a PhD in Psychologyby the University of Sevilla. Her background as researcher, manager and consultant in national and European R&D projects in the field of health and policy analysis (e.g., MINECO, EC, DGJUST, H2020) led her to publish in impact factor journals, present at relevant conferences, as well as review for scientific journals.