• Title/Summary/Keyword: SMART Highway

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A Study on the Satisfaction Analysis of Smart Traffic Safety Systems using Importance-Performance Analysis (IPA를 이용한 스마트 교통안전 시스템의 만족도 분석 연구)

  • Kiman Hong;Jonghoon Kim;Jungah Ha;Gwangho Kim;Jonghoon Kim
    • Journal of the Society of Disaster Information
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    • v.18 no.4
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    • pp.754-768
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    • 2022
  • Purpose: The purpose of this study is to derive improvements through user satisfaction analysis for the smart traffic safety system being applied to improve traffic safety. Method: A survey-based IPA analysis was used to derive system and service improvements for groups of drivers and pedestrians. Result: As a result of the analysis, both drivers and pedestrian groups showed that Quadrant 1(Keep up the Good Work) was 'Perception of risk information', and Quadrant 3(Low Priority) was 'Reliability of warning information'. On the other hand, 'AI display suitability', which was analyzed as Quadrant 1(Keep up the Good Work) in the driver group, was found to be Quadrant 3(Low priority) in the pedestrian group. Conclusion: Satisfaction factors for smart pedestrian safety systems may vary depending on users, and it is judged that user-centered system construction and service provision are necessary.

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.

Smart Highway

  • Lee, Gi-Yeong
    • Transportation Technology and Policy
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    • v.4 no.4
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    • pp.180-180
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    • 2007
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Experimental Analysis of V2X Communication Performance based on WAVE at the SMART-Highway Test-bed (스마트하이웨이 테스트베드에서의 WAVE 기반 V2X 통신 성능에 대한 실험적 분석)

  • Jung, Han-Gyun;Lim, Ki-Taeg;Shin, Dae-Kyo;Yoon, Sang-Hun;Jin, Seong-Keun;Jang, Soo-Hyun;Shin, Joon-Soo
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.15 no.4
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    • pp.115-128
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    • 2016
  • Many research activities to reduce accidents on the road and to improve traffic efficiency have been performed and almost research projects are developing technologies and services based on C-ITS technology nowadays. The main concept of C-ITS is improving road safety and traffic efficiency by sharing and reproducing information between various elements. To accomplish this goal, V2X communication technology has been adopted. In Korea, we have studied V2X communication technology in support of SMART-Highway research project and are managing test-bed to verify the developed technology recently. In this paper, we introduce SMART-Highway test-bed and show the procedure and result of V2X communication performance analysis on the test-bed.

Impact Conditions of Performance Evaluation, and Development of High-Performance Roadside Barrier for Longitudinal Barriers in Smart Highway (스마트하이웨이 종방향 베리어 성능평가 충돌조건과 고성능 노측용 베리어 개발)

  • Kim, Dong-Seong;Kim, Kee-Dong;Ko, Man-Gi;Jang, Dae-Young
    • Journal of Korean Society of Transportation
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    • v.29 no.2
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    • pp.59-67
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    • 2011
  • To minimize the degree of damage in the SMART highway's punctuality and safety occurred from the car-barrier collisions, the impact conditions for longitudinal barriers in SMART highway was determined to be significantly larger than the existing maximum impact conditions. Results from computer simulation runs show that the existing domestic highest-performance roadside barrier did not satisfy the suggested impact conditions. The newly developed N-class barrier designed with computer simulation model and verified by full-scale crash tests has satisfied the SMART highway impact conditions in terms of occupant safety indexes and structural adequacy.

Road Condition Measurement using Radar Cross Section of Radar (레이더의 유효 반사전력을 이용한 도로 상태 측정)

  • Park, Jae-Hyoung;Lee, Jae-Kyun;Lee, Chae-Wook;Lee, Nam-Yong
    • Journal of the Institute of Convergence Signal Processing
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    • v.12 no.2
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    • pp.150-156
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    • 2011
  • Smart Highway is a next generation highway that significantly improves a traffic safety, reduces incidence of traffic accidents, and supports intelligent and convenient driving environments so that drivers can drive at high speeds in safety. In order to implement smart highway, it is required to gather a large amount of data including conditions of a road and the status of vehicles, and other useful data. To provide situation information of highway, it has been gathered traffic information using optical sensors(CCTV, etc.). However, this technique has problems such as the problem of information gathering, lack of accuracy depending on weather conditions and limitation of maintenance. It needs radar system which has not effect on environmental change and algorithm processing technique in order to provide information for a safety driving to driver and car. In this paper, it is used radar with 9.4GHz to test performance of a road surface and developed radar system for detecting test. And we compared and analyzed a performance of data acquired from each radar through computer simulation.

A Study on Future Transportation Policy Based on the Smart Highway Project (스마트 하이웨이 사업에 따른 미래 교통정책의 변화에 관한 연구)

  • Choi, Jae-yong;Kim, Nak-seok
    • Journal of the Society of Disaster Information
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    • v.6 no.2
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    • pp.131-142
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    • 2010
  • The paper presents the future transportation policy based on the smart highway project in korea. The backgrounds and the principal findings in this study were obtained through domestic and overseas literature surveys. The domestic and overseas transportation policies were also compared and analyzed using various case studies. As a result, the future transportation policy in Korea was concluded within the limit conducted in this paper. Research results demonstrated that the future transportation policy should be reflected and accompanied by various social developments. The social benefits from the future transportation policy should also be distribute equally to social individuals, rather than small limited groups. That is, the recent global slogan of green growth is an example of a future transportation policy since it is for all social individuals, not for a limited small group.

A Location-based Highway Safety System using Smart Mobile Devices (스마트 모바일 장치를 이용한 위치기반 고속도로 안전시스템)

  • Lee, Jaehyun;Park, Sungjin;Yoo, Joon
    • Journal of KIISE
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    • v.43 no.3
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    • pp.389-397
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    • 2016
  • In this paper, we propose a highway safety system that comprises a small number of central servers and smart mobile devices. To implement this system, we constructed a central server that collects GPS location information on cars, whose update messages are decreased via the car location estimation algorithm. The in-car mobile devices use the accelerometer sensors to detect hazardous situations; this information is updated to the central server that relays the information to the corresponding endangered cars via location-based unicast using LTE communication. To evaluate the proposed algorithm, we equipped a mobile device app on a real car and conducted real experiments in various environments such as city streets, rural areas, and highway roads. Furthermore, we conducted simulations to evaluate the propagation of danger information. Finally, we conducted simulated experiments to detect car collisions as well as exceptions, such as falling of the mobile device from the cradle.