Amélioration du modèle de comportement individuel du conducteur pour évaluer la sécurité d'un flux de trafic par simulation

• Research unit: COST
• Project number: C04.0202

Key words (English)

risk indicators; risk criteria; preventive measures; model calibration; and crash risk prevention.

Research programs (English)

COST-Action 352 - Influence of Modern in-Vehicle Information Systems on Road Safety Requirements

Short description (French)

Ce travail de recherche a pour objectif d'améliorer le modèle de comportement individuel du conducteur pour évaluer la sécurité d'un flux de trafic par simulation.

Further information (English)

Full name of research-institution/enterprise: EPF Lausanne Département de Génie civil LAVOC Laboratoire des voies de circulation

Partners and International Organizations (English)

AT, CH, CZ, DE, FR, IE, IT, LT, NL, NO, PL, PT

Abstract (English)

This study proposes a framework for developing a pro-active system aiming at reducing motorway crash risk based on risk indicators. Although motorways are of safe road type by design, a crash if happens would be really severe. Reducing motorway crash risk would prevent crashes or diminish their severity. To that purpose, risk indicators are tested and validated with real data including traffic data, meteorological data, and crash databases from a study site in Switzerland. A guideline about how to define the risk criteria is proposed and applied in a simulation model which is the platform for implementing a pro-active crash risk prevention system. The model is calibrated to best represent a road section at the study site. An implementation example of preventive measures is introduced and its outcome is evaluated.

References in databases (English)

Swiss Database: COST-DB of the State Secretariat for Education and Research Hallwylstrasse 4 CH-3003 Berne, Switzerland Tel. [phone] Swiss Project-Number: C04.0202