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http://dx.doi.org/10.12815/kits.2018.17.1.71

A Study on the Estimation of the V2 X-Rate Ratio for the Collection of Highway Traffic Information  

Na, Sungyong (Dept. of Transportation Eng., Univ. of Seoul)
Lee, Seungjae (Dept. of Transportation Eng., Univ. of Seoul)
Ahn, Sanghyun (Dept. of Computer Science., Univ. of Seoul)
Kim, Jooyoung (Institute of Urban Science., Univ. of Seoul)
Publication Information
The Journal of The Korea Institute of Intelligent Transport Systems / v.17, no.1, 2018 , pp. 71-78 More about this Journal
Abstract
Transportation is gradually changing into the era of V2X and autonomous cars. Accurate judgement of traffic conditions is an important indicator of route choice or autonomous driving. There are many ways to use probes car such as taxis, as a way to identify accurate traffic conditions. These methods may vary depending on the characteristics of the probe vehicle, and there is a problem with the cost. The V2X vehicle can solve these problems and collect traffic information in real time. If all vehicles are of V2X vehicle, these issues are expected to be resolved briefly. However, if the communication information of a V2X vehicle is represented by a traffic representative in a traffic with only V2X, the traffic information of some V2X vehicles will be able to collect traffic information. To accomplish this, a virtual network and transport were created and various scenarios were performed through SUMO simulations. It has been analyzed that 3-5 % of V2 vehicles are capable of representative the road traffic characteristics. In the future, various follow-up studies are planned.
Keywords
V2X; Traffic_flow; ITS; SUMO; Traffic_data;
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