2022 Volume 8 Issue 2 Pages A_213-A_221
The turning ratio and the traffic demands of each direction at signalized intersections are important to optimize the traffic signal control. While these values can be observed by using traffic detectors for each direction, the cost for installation and maintenance becomes high. Recently, probe vehicle data is available, which can be used to observe the turning ratio. However, if its penetration rate is low and the aggregation time duration is short, the accuracy of the estimation becomes low. In this study, we developed the dynamic estimation method of turning ratio and traffic demands by direction based on the Sequential Bayes Inference, in which both probe data and traffic detector data are jointly used. The proposed methods were applied to some signalized intersection in which traffic volumes of all directions were manually counted by every ten minutes. As a results, it is shown that the proposed methods can accurately estimate the traffic volume of each direction even in the case that the penetration rate of probe vehicles is 2 % and that the traffic detectors are limitedly installed on the major directions.
