DocumentCode :
1698816
Title :
A probabilistic framework for highway safety analysis
Author :
Hu, Jianghai ; Lygeros, John ; Prandini, Maria ; Sastry, Shankar
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., California Univ., Berkeley, CA, USA
Volume :
4
fYear :
1999
fDate :
6/21/1905 12:00:00 AM
Firstpage :
3734
Abstract :
Brownian motion is used to model the uncertainty in the motion of cars on a highway. The probability of collision of two adjacent cars within a fixed horizon is calculated and its implications are discussed. Moreover, the probability of collision in the presence of emergency braking is also obtained by modeling the occurrence of emergency braking as a Poisson process
Keywords :
Brownian motion; Poisson distribution; probability; road traffic; safety; traffic control; transportation; Brownian motion; Poisson process; emergency braking; highway; probability; road traffic control; safety analysis; Differential equations; Gaussian processes; Poisson equations; Probability; Road accidents; Road safety; Road transportation; Stochastic resonance; Uncertainty; White noise;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Decision and Control, 1999. Proceedings of the 38th IEEE Conference on
Conference_Location :
Phoenix, AZ
ISSN :
0191-2216
Print_ISBN :
0-7803-5250-5
Type :
conf
DOI :
10.1109/CDC.1999.827935
Filename :
827935
Link To Document :
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