DocumentCode :
2960288
Title :
Application of Short-term Traffic Flow Forecast in Selecting the Optimal Route
Author :
Bing-Chuan, Zhang ; Bin-Bing, Li ; Da-Wei, Liu ; Shu-Hui, Zhang
Author_Institution :
Dept. of Postgraduates, Eng. Collage of CAPF, Xi´´an, China
Volume :
1
fYear :
2011
fDate :
28-29 March 2011
Firstpage :
768
Lastpage :
771
Abstract :
According to the affect of short-term traffic-flow in the Force´s optimal maneuver route choice, this paper primarily analyzed the short-term traffic flow forecast arithmetic, and then selected one combined forecast arithmetic based on the Grey Theory and Markov Chain. After forecasted one major road´s short-term traffic-flow and implemented in one example, it indicated that the combined arithmetic has better prediction accuracy, the active error was 8.768%, and it satisfied the time limit requirement in the Force´s optimal maneuver route choice.
Keywords :
Markov processes; grey systems; road traffic; Markov chain; grey theory; optimal route; short term traffic flow forecast; Accuracy; Data models; Force; Forecasting; Markov processes; Predictive models; Roads; ArcGIS Network Analyst; Path Guidance System; Short-term Traffic flow forecast;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Computation Technology and Automation (ICICTA), 2011 International Conference on
Conference_Location :
Shenzhen, Guangdong
Print_ISBN :
978-1-61284-289-9
Type :
conf
DOI :
10.1109/ICICTA.2011.199
Filename :
5750733
Link To Document :
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