Smart Roadside System for Driver Assistance and Safety Warnings: Framework and Applications
Identifieur interne : 000708 ( Main/Merge ); précédent : 000707; suivant : 000709Smart Roadside System for Driver Assistance and Safety Warnings: Framework and Applications
Auteurs : Jeong Ah Jang ; Hyun Suk Kim ; Han Byeog ChoSource :
- Sensors (Basel, Switzerland) [ 1424-8220 ] ; 2011.
Descripteurs français
- KwdFr :
- MESH :
English descriptors
- KwdEn :
- MESH :
- prevention & control : Accidents, Traffic.
- Algorithms, Automobile Driving, Computer Simulation, Equipment Design, Humans, Models, Statistical, Safety, Telecommunications, Transportation.
Abstract
The use of newly emerging sensor technologies in traditional roadway systems can provide real-time traffic services to drivers through Telematics and Intelligent Transport Systems (ITSs). This paper introduces a smart roadside system that utilizes various sensors for driver assistance and traffic safety warnings. This paper shows two road application models for a smart roadside system and sensors: a red-light violation warning system for signalized intersections, and a speed advisory system for highways. Evaluation results for the two services are then shown using a micro-simulation method. In the given real-time applications for drivers, the framework and certain algorithms produce a very efficient solution with respect to the roadway type features and sensor type use.
Url:
DOI: 10.3390/s110807420
PubMed: 22164025
PubMed Central: 3231714
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PMC:3231714Le document en format XML
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<front><div type="abstract" xml:lang="en"><p>The use of newly emerging sensor technologies in traditional roadway systems can provide real-time traffic services to drivers through Telematics and Intelligent Transport Systems (ITSs). This paper introduces a smart roadside system that utilizes various sensors for driver assistance and traffic safety warnings. This paper shows two road application models for a smart roadside system and sensors: a red-light violation warning system for signalized intersections, and a speed advisory system for highways. Evaluation results for the two services are then shown using a micro-simulation method. In the given real-time applications for drivers, the framework and certain algorithms produce a very efficient solution with respect to the roadway type features and sensor type use.</p>
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