6533b86efe1ef96bd12cbd63
RESEARCH PRODUCT
Computing Real-Time Dynamic Origin/Destination Matrices from Vehicle-to-Infrastructure Messages Using a Multi-Agent System
Joaquin CastelloJavier MartínezRafael Tornerosubject
Induction loopComputer scienceDistributed computingMulti-agent systemReal-time computingJADE (programming language)computer.software_genreDedicated short-range communicationsDomain (software engineering)LTI system theoryMatrix (mathematics)Systems managementcomputercomputer.programming_languagedescription
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 given 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.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2012-01-01 |