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