DocumentCode
2537595
Title
Design of wireless positioning algorithm of intelligent vehicle based on VANET
Author
Jiangfeng, Wang ; Feng, Gao ; Fei, Yi ; Shaoxuan, Sun
Author_Institution
Sch. of Transp. Sci. & Eng., Beijing Univ. of Aeronaut. & Astronaut., Beijing, China
fYear
2009
fDate
3-5 June 2009
Firstpage
1098
Lastpage
1102
Abstract
Wireless position is one of the most important research fields in VANET application. It has certain technical restrictions to realize the accurate position between vehicle using wireless communication network., but it can realize approximate position between vehicles in local area, and can satisfy the requirement of vehicle active safe technologies such as collision warning for location precision in low speed. Due to the limitation of ldquodistance-lossrdquo model in wireless position, paper presents an approximate position algorithm model based on triangle centroid according to this model. The model is marked by reasonable designed method. Then the marked model is verified from the aspect of distance errors and position accuracy, it is resulted that the position method has strong transplantability and adaptability.
Keywords
ad hoc networks; mobile radio; road safety; road vehicles; traffic engineering computing; VANET application; approximate position algorithm model; collision warning; intelligent transportation system; intelligent vehicle; roadside communication; triangle centroid model; vehicle active safe technology; vehicular ad hoc network; wireless positioning algorithm; Algorithm design and analysis; Global Positioning System; Intelligent transportation systems; Intelligent vehicles; Mobile ad hoc networks; Road vehicles; Sun; Telecommunication traffic; Vehicle safety; Wireless communication; Collision Warning; VANETs; Wireless Positioning Algorithm;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Vehicles Symposium, 2009 IEEE
Conference_Location
Xi´an
ISSN
1931-0587
Print_ISBN
978-1-4244-3503-6
Electronic_ISBN
1931-0587
Type
conf
DOI
10.1109/IVS.2009.5164435
Filename
5164435
Link To Document