A New Method of OD Estimation Based On Automatic Vehicle Identification Data

Abstract:

With the development and application of video license plate recognition system which represented the automatic vehicle identification (AVI) technologies in China,a novel high resolution OD estimation method was proposed based on AVI detector information.4 detected categories (Ox+Dy,Ox/Dy+(s),Ox/Dy、P(s)) were divided at the first step.Then the initial OD matrix was updated by using the Ox+Dy sample information considering the AVI detector errors.Referenced by particle filter,the linkpath relationship data were revised by using the last 3 categories information based on Bayesian inference and the possible trajectory and OD were determined with the Monte Carlo random process.Then the OD was corrected through reserve operation based on AVI path flow information at last.Finally,according to the current application of video detector in Shanghai,the NorthSouth expressway was selected as the test bed which including 17 OD pairs and 9 AVI detectors.The results show that the calculated average relative error is 11.09% under the constraints that the simulation error is under 15%,the detector error is about 10% and the AVI facility coverage is 27.2%.This method is highly efficient and can make full use of the partial vehicle trajectory which can be satisfied with the dynamic traffic management application in reality.