Evaluation of Real-time Data Collection Technologies for Journey Time Estimation

摘要

In this paper, three technologies for real-time traffic data collection, namely automatic vehicle identification (AVI), global positioning system (GPS) and video image processing (VIP), are evaluated. Their performances on journey time estimation are compared in a case study in Hong Kong. Journey times on a selected path are estimated using dataset collected by each of these three technologies and different combination of these datasets. Observation survey is conducted during a morning period on the selected path to validate the journey time estimates. It was found that the combination of AVI and VIP data can be used to provide cost-effective solution for real-time journey time estimation in Hong Kong.