This study proposes a method estimating stochastic path travel times by using both traffic counter data and probe car data complementarily. A stochastic traffic demand for each O-D pair in a road network is estimated by maximum likelihood estimation with respect to traffic counter data. Stochastic path travel times are addressed as a prior multivariate path travel time distribution. The estimated stochastic path travel time is updated by applying Bayesian inference using observed probe car data. The updated path travel time can be regarded as a posterior multivariate path travel time distribution. Numerical experiments demonstrate inference processes of path travel time and verify our proposed model.
Path Travel Time Estimating Method by Incomplete Traffic Data
Int. J. ITS Res.
International Journal of Intelligent Transportation Systems Research ; 18 , 1 ; 43-52
01.01.2020
10 pages
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
Maximum-likelihood estimation , Bayesian inference , Traffic counter data , Probe car data Electrical Engineering , Automotive Engineering , Engineering , Civil Engineering , User Interfaces and Human Computer Interaction , Robotics and Automation , Computer Imaging, Vision, Pattern Recognition and Graphics
Estimating Path Travel-Time Reliability
IEEE | 2006
|Europäisches Patentamt | 2020
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