Driver models for the definition of safety requirements of automated vehicles in international regulations. Application to motorway driving conditions

Author:

Mattas Konstantinos,Albano Giovanni,Donà Riccardo,Galassi Maria Christina,Suarez-Bertoa Ricardo,Vass Sandor,Ciuffo Biagio

Funder

European Commission

Joint Research Centre

Publisher

Elsevier BV

Subject

Public Health, Environmental and Occupational Health,Safety, Risk, Reliability and Quality,Human Factors and Ergonomics

Reference58 articles.

1. A Risk-index based Sampling Method to Generate Scenarios for the Evaluation of Automated Driving Vehicle Safety*;Akagi,2019

2. Taking responsibility: a responsible research and innovation (RRI) perspective on insurance issues of semi-autonomous driving;Baumann;Transp. Res. Part A: Policy Pract.,2019

3. Blumenthal, M.S., Fraade-Blanar, L., Best, R., Irwin, J.L., 2020. Safe Enough: Approaches to Assessing Acceptable Safety for Automated Vehicles. RAND Corporation, Santa Monica, CA. 10.7249/RRA569-1.

4. Brunson, S.J., Kyle, E.M., Phamdo, N.C., Preziotti, G.R., 2002. ALERT ALGORITHM DEVELOPMENT PROGRAM: NHTSA REAR-END COLLISION ALERT ALGORITHM.

5. Development of a rear-end collision avoidance system with automatic brake control;Doi;JSAE Rev.,1994

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