DocumentCode :
3068565
Title :
Vehicle acceleration noise: A solution for real-time highway traffic estimation based on low-speed floating vehicles
Author :
Chao Xie ; Qiming Qin ; Jun Li ; Jianghua Zhao
Author_Institution :
Inst. of Remote Sensing & GIS, Peking Univ., Beijing, China
fYear :
2013
fDate :
21-26 July 2013
Firstpage :
3658
Lastpage :
3661
Abstract :
Highway traffic estimation based on floating vehicle data is one of the major methods in measuring traffic conditions now. Under normal circumstance, average vehicle speed data, which is used to determine traffic conditions, is mainly obtained from taxis and other small vehicles which travel at a speed similar to the road´s free traffic flow speed. But for intercity highways and suburban roads that are less traveled by taxis, coach buses and hazmat cargo trucks, which are traveling at a much slower speed compared to the road´s free traffic flow speed, are required to compute traffic conditions. This paper introduced a new method in which the traffic condition is estimated using acceleration noise algorithm and a speed classification system, along with the above mentioned low-speed floating vehicle data and verified it by calculating the traffic condition of expressway.
Keywords :
acceleration; road traffic; vehicle dynamics; acceleration noise algorithm; low-speed floating vehicles; real-time highway traffic estimation; speed classification system; traffic condition; vehicle acceleration noise; Acceleration; Estimation; Noise; Real-time systems; Roads; Vehicles; Acceleration noise; floating vehicles; traffic conditions;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2013 IEEE International
Conference_Location :
Melbourne, VIC
ISSN :
2153-6996
Print_ISBN :
978-1-4799-1114-1
Type :
conf
DOI :
10.1109/IGARSS.2013.6723623
Filename :
6723623
Link To Document :
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