• Title/Summary/Keyword: 스마트하이웨이

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A Study on the Operational Results of SMART Highway Test-bed (스마트하이웨이 테스트베드 운영결과에 대한 고찰)

  • Jin, Goou-Dong;Kim, Sug-Tae;Lee, Soo-Yang;Kim, Chun-Gyung;Park, Ji-Hun
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.14 no.4
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    • pp.27-39
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    • 2015
  • This study addressed the process to construct, operate, verify the test beds, which had been equipped with a variety of core technologies such as WAVE, Road-Radar, Smart Tolling developed by Smart Highway Project. We have met our research goals, but there were limitations to secure the performance and user feedback because of small scale and short operating time. So, we will enhance user safety, convenience and comfort by accumulating and analyzing big data then improving testbeds and related technologies through subsequent research projects for a long time.

An Implement of Fixed Obstacle Detecting RADAR Algorithm for Smart Highway (스마트하이웨이에 적합한 장애물 탐지용 레이더 알고리즘 구현)

  • Lee, Jae-Kyun;Park, Jae-Hyoung
    • Journal of the Institute of Convergence Signal Processing
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    • v.13 no.2
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    • pp.106-112
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    • 2012
  • Smart Highway is the intelligent highway that improves a traffic safety, reduces incidence of traffic accidents, and supports intelligent and convenient driving environment so that drivers can drive at high speeds in safety[1]. In order to implement the highway, it is required to gather a dangerous data such as obstacle, wild animal, disabled car, etc. To provide the situation information of the highway, it has been gathered traffic information using various sensors. However, this technique has problems such as the problems of various information gathering, lack of accuracy depending on weather conditions and limitation of maintenance. Therefore, in order to provide safe driving information to driver by gathering dangerous condition, radar system is needed. In this paper, we used a developing 34.5GHz RWR(Road Watch Radar) radar for gathering dangerous information and we verified performance of obstacle detecting and resolution through field test.