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Title

An Intelligent V2I-Based Traffic Management System

AuthorsMilanés, Vicente ; Villagrá, Jorge ; Godoy, Jorge ; Simó, J; Onieva, Enrique
KeywordsRoad accidents
Radiocommunication
Fuzzy control
Collision avoidance
AUTOPIA
Automated highways
Road traffic control
Road vehicles
Driver information systems
Accident prevention
Issue Date2012
PublisherInstitute of Electrical and Electronics Engineers
CitationIEEE Transactions on Intelligent Transportation Systems 13: 49- 58 (2012)
AbstractVehicles equipped with intelligent systems designed to prevent accidents, such as collision warning systems (CWSs) or lane-keeping assistance (LKA), are now on the market. The next step in reducing road accidents is to coordinate such vehicles in advance not only to avoid collisions but to improve traffic flow as well. To this end, vehicle-to-infrastructure (V2I) communications are essential to properly manage traffic situations. This paper describes the AUTOPIA approach toward an intelligent traffic management system based on V2I communications. A fuzzy-based control algorithm that takes into account each vehicle's safe and comfortable distance and speed adjustment for collision avoidance and better traffic flow has been developed. The proposed solution was validated by an IEEE-802.11p-based communications study. The entire system showed good performance in testing in real-world scenarios, first by computer simulation and then with real vehicles.
URIhttp://hdl.handle.net/10261/109672
DOI10.1109/TITS.2011.2178839
Identifiersdoi: 10.1109/TITS.2011.2178839
issn: 1524-9050
Appears in Collections:(CAR) Artículos
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