Origin-destination trip pattern representative by using bluetooth data collection on the arterial road network, Bangkok, Thailand

In order to properly control traffic, it is necessary to grasp detailed traffic states within a certain area. However, the existing traffic detection methods have high production cost, and detailed traffic conditions still cannot be determined based on those methods. Thus, this study tries to extract detailed traffic states using data from Bluetooth detectors collected over a long period. At first, we observe the variability in origin-destination (OD) trip patterns based on weekdays and weekends, and the time of day (morning peak hour, evening peak hour, and off-peak) in the downtown of Bangkok. Secondly, the traffic speed pattern is extracted based on the detected Bluetooth data. Finally, we estimated change of route choice by tracking the same vehicle using the MAC address during the detection period. The experimental results confirm that the detailed traffic states such as OD trip pattern, speed pattern and route choice behavior could be observed by Bluetooth data which could not be observed by other traffic data measurement.