In this paper, a novel approach to compute advisory speeds to be used in an adaptive Intelligent Speed Adaptation system (ISA) is proposed. This method is designed to be embedded in the vehicles. It estimates an appropriate speed by fusing in real-time the outputs of ego sensors which detect adverse conditions with roadway characteristics transmitted by distant servers. The method presents two major novelties. First, the 85th percentile of observed speeds (V85) is estimated along a road, this speed profile is considered as a reference speed practised and practicable in ideal conditions for a lonely vehicle. In adverse conditions, this reference speed is modulated in order to account for lowered friction and lowered visibility distance (top-down approach). Second, this method allows us taking into account the potential seriousness of crashes using a generic scenario of accident. Within this scenario, the difference in speed that should be applied in adverse conditions is estimated so that global injury risk is the same as in ideal conditions.
Advisory speed for Intelligent Speed Adaptation in adverse conditions
2010 IEEE Intelligent Vehicles Symposium ; 107-114
2010-06-01
1256348 byte
Conference paper
Electronic Resource
English
Advisory Speed for Intelligent Speed Adaptation in Adverse Conditions, pp. 107-114
British Library Conference Proceedings | 2010
|Intelligent Speed Adaptation (ISA)
Springer Verlag | 2012
|