DocumentCode :
3461779
Title :
Real-time travel time estimation using macroscopic traffic flow models
Author :
Kachroo, Pushkin ; Ozbay, Kaan ; Hobeika, Antoine G.
Author_Institution :
Bradley Dept. of Electr. Eng., Virginia Polytech. Inst. & State Univ., Blacksburg, VA, USA
fYear :
2001
fDate :
2001
Firstpage :
132
Lastpage :
137
Abstract :
This paper presents the estimation of travel time on highways based on macroscopic modelling. The focus is on real-time values as compared to average or static values. The macroscopic models are used for distributed and time/space lumped settings and corresponding travel time estimation functions and algorithms are developed. The implications of these algorithms for the implementation of various incident management and traffic control strategies are also discussed
Keywords :
differential equations; parameter estimation; road traffic; traffic control; transportation; incident management; macroscopic models; real-time values; road traffic control; traffic flow models; travel time estimation; Context modeling; Differential equations; Distributed parameter systems; Fluid dynamics; Fluid flow; Partial differential equations; Road transportation; Space exploration; State estimation; Traffic control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Transportation Systems, 2001. Proceedings. 2001 IEEE
Conference_Location :
Oakland, CA
Print_ISBN :
0-7803-7194-1
Type :
conf
DOI :
10.1109/ITSC.2001.948643
Filename :
948643
Link To Document :
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