DocumentCode :
1735362
Title :
Modeling of vehicle driving conditions using transition probability models
Author :
McDonough, Kevin ; Kolmanovsky, Ilya ; Filev, Dimitar ; Yanakiev, Diana ; Szwabowski, Steve ; Michelini, John ; Abou-Nasr, Mahmoud
Author_Institution :
Dept. of Aerosp. Eng., Univ. of Michigan, Ann Arbor, MI, USA
fYear :
2011
Firstpage :
544
Lastpage :
549
Abstract :
This paper considers modeling of vehicle driving conditions using transition probability models (TPMs) for applications of dynamic optimization. The properties of transition probabilities for vehicle speed, vehicle acceleration, and road grade are discussed based on the analysis and experimental vehicle data. The KL-divergence is shown to provide an effective metric that can differentiate similar driving conditions from dissimilar ones.
Keywords :
dynamic programming; probability; road vehicles; transportation; KL divergence; dynamic optimization; experimental vehicle data analysis; road grade; transition probability models; vehicle acceleration; vehicle driving conditions; vehicle speed; Acceleration; Biological system modeling; Cities and towns; Roads; Sparse matrices; Vehicles;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control Applications (CCA), 2011 IEEE International Conference on
Conference_Location :
Denver, CO
Print_ISBN :
978-1-4577-1062-9
Electronic_ISBN :
978-1-4577-1061-2
Type :
conf
DOI :
10.1109/CCA.2011.6044388
Filename :
6044388
Link To Document :
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