DocumentCode
2880593
Title
Research about Non-Stop Vehicle Information System Based on Short-Term Forecast
Author
Yao Xiao
Author_Institution
Shandong Transp. Vocational Coll., Weifang, China
fYear
2012
fDate
1-3 June 2012
Firstpage
1
Lastpage
4
Abstract
In order to improve the situation of road safety and energy conservation in urban area, reducing the parking number is taken as research content. Aiming at the vehicle make up of traffic flow, prediction model of travel time was built. Combined with the vehicles running status, real-time signal information at intersection and the data collected by detector, the optimal speed strategy in urban intersections was designed. Results of the emulation make clear that the strategy has a high accuracy rate, and provide efficient information. The strategy plays a certain role in releasing intersection confusion.
Keywords
road safety; road vehicles; traffic information systems; accuracy rate; data collection; detector; energy conservation; nonstop vehicle information system; optimal speed strategy; parking number; real-time signal information; road safety; shrot-term forecasting; traffic flow prediction model; travel time; urban area; urban intersections; vehicle running status; Delay; Green products; Predictive models; Real time systems; Roads; Urban areas; Vehicles;
fLanguage
English
Publisher
ieee
Conference_Titel
Remote Sensing, Environment and Transportation Engineering (RSETE), 2012 2nd International Conference on
Conference_Location
Nanjing
Print_ISBN
978-1-4673-0872-4
Type
conf
DOI
10.1109/RSETE.2012.6260683
Filename
6260683
Link To Document