Computing Real-Time Dynamic Origin/Destination Matrices from Vehicle-to-Infrastructure Messages Using a Multi-Agent System.

Dynamic Origin/Destination matrices are one of the most important parameters for efficient and effective transportation system management. These matrices describe the vehicle flow between different points within a region of interest for a :liven period of time. Usually, dynamic O/D matrices are estimated from traffic counts provided by induction loop detectors, home interview and/or license plate surveys. Unfortunately, estimation methods take O/D flows as time invariant for a certain number of intervals of time, which cannot be suitable for some traffic applications. However, the advent of information and communication technologies (e.g., vehicle-to-infrastructure dedicated short range communications -V2I) to the transportation system domain has opened new data sources for computing O/D matrices. Taking the advantages of this technology, we propose in this paper a multi-agent system that computes the instantaneous O/D matrix of any road network equipped with V2I technology for every time period and any day in real-time. The implementation was carried out using JADE platform.