Road safety is a major concern in all countries, and large efforts are constantly dedicated to create safer traffic environments. Today increasing attention is turned toward active safety improving countermeasures that improve road safety by reducing accident risks. Such active countermeasures include advanced driver assistance systems (ADAS). To ensure that these new applications result in real safety improvements, a priori estimations of safety effects are needed. This paper considers estimation of the safety effects of ADAS through traffic simulation. Requirements imposed on a traffic simulation model to be used for ADAS evaluation are presented, and a car-following model to be used in simulations that include ADAS-equipped vehicles is proposed. ADAS have an impact on traffic through the functionalities of ADAS and through changes in driver behavior for ADAS-equipped vehicles. Driver behavior for ADAS-equipped vehicles has usually not been considered in previous simulation studies, including those for ADAS-equipped vehicles. Simulation runs of rural road traffic that used the proposed car-following model did, however, indicate that behavioral changes caused by the ADAS were important factors for the safety impact. Modeling of the behavior of drivers in ADAS-equipped vehicles is therefore essential for reliable conclusions on the road safety effects of ADAS.
[1]
Andreas Tapani,et al.
Versatile Model for Simulation of Rural Road Traffic
,
2005
.
[2]
M M Minderhoud,et al.
Extended time-to-collision measures for road traffic safety assessment.
,
2001,
Accident; analysis and prevention.
[3]
Andreas Tapani,et al.
Comparison of car-following models
,
2004
.
[4]
Jeffery Archer,et al.
Indicators for traffic safety assessment and prediction and their application in micro-simulation modelling : a study of urban and suburban intersections
,
2005
.
[5]
Andreas Tapani.
A Versatile Model for Rural Road Traffic Simulation
,
2005
.
[6]
Ronghui Liu,et al.
Network effects of intelligent speed adaptation systems
,
2004
.
[7]
Larry Head,et al.
Surrogate Safety Measures from Traffic Simulation Models
,
2003
.
[8]
Josep Perarnau,et al.
Safety indicators for microsimulation-based assessments
,
2003
.
[9]
Haris N. Koutsopoulos,et al.
Simulation Laboratory for Evaluating Dynamic Traffic Management Systems
,
1997
.