• Title/Summary/Keyword: Wheel Width & Tread

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Development of wheel width and tread acquisition algorithm using non-contact treadle sensor (무접점 답판 센서를 사용한 차량 바퀴의 윤폭 / 윤거 획득 알고리즘 개발)

  • Seo, Yeon-Gon;Lew, Chang-Guk;Lee, Bae-Ho
    • The Journal of the Korea institute of electronic communication sciences
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    • v.11 no.6
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    • pp.627-634
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    • 2016
  • Vehicle classification system in domestic tollgates is usually to use treadle sensor for calculating wheel width and tread of the vehicle. due to the impact that occurs when the wheels of the vehicle contact, treadle sensor requires high durability. recently, KHC(Korea Highway Corporation) began operating high-speed lane for cargo truck. high-speed cargo truck generate more impact the design criteria of previous treadle. therefore, an increase in the maintenance and management costs of the treadle damage is concerned. In this paper, we propose an algorithm for obtaining optimal wheel width and tread using non-contact treadle sensor that been improved durability from physical impacts. for the verification of the proposed algorithm, a field test was performed using 1/2/3/6 class vehicles based on the KHC's classification criteria. through this experiments, maximum error of the width and the tread is each ${\pm}2cm$ and ${\pm}8cm$, also the accuracy was measured as 98%, 97% or more, and proved that the proposed algorithm valid on to apply to the vehicle classification system.

A Study on Efficient Vehicle Classification based on 3-Piezo Sensor AVC SYSTEM (3-Piezo 센서 기반 교통량 조사시스템의 차종분류방식에 대한 연구)

  • Cho, Sung-Yun;Lee, Dong-Gyu;Ruy, Seung-Ki
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.13 no.3
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    • pp.25-31
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    • 2013
  • The AVC System which has operated in Highways has two-piezo sensors. In this system the piezo sensors are installed on parally each other this configuration has a defect about diversion driving and sensor damage. In this reserch, 3-Sensor AVC algorithm has been proposed which is supported enhance accuracy of the vehicle classification rate compare with usual 2-Sensor systems. This algorithm is allowed to calculate wheel tread, wheel width. The third inclinded piezo sensor can detec twheel tread, wheel width using signal processing. 3-Sensor AVC has been installed in real highway and the outcome performance has been proof.

ROLL CENTER ANALYSIS OF A HALF-CAR MODEL USING POLE FOR SMALL DISPLACEMENT

  • Lee, J.K.;Shim, J.K.
    • International Journal of Automotive Technology
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    • v.7 no.7
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    • pp.833-839
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    • 2006
  • In this paper, roll behavior of three planar half car models are compared. The first model is a simple model whose contact point between a wheel and the ground is assumed to be fixed with a revolute joint. The second model is a modified model of the fIrst model, whose wheel tread width can vary. In this model, the instant center of a wheel with respect to the ground, which is crucial to find the roll center, is assumed to be at the contact point of a wheel and the ground. The last model uses the pole of a wheel with respect to the ground for small displacement as the instant center of a wheel with respect to the ground. Loci of the center of gravity point, the fixed and the moving centrodes which are traces of roll center position in the ground and the body frame respectively, wheel contact points, and instant centers of a wheel with respect to the ground are calculated.

Development of Vehicle Classification Algorithm using Non-Contact Treadle Sensor for Toll Collect System (통행료징수시스템을 위한 무접점 답판 방식의 차종분류 알고리즘 개발)

  • Seo, Yeon-Gon;Lew, Chang-Guk;Lee, Bae-Ho
    • The Journal of the Korea institute of electronic communication sciences
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    • v.11 no.12
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    • pp.1237-1244
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    • 2016
  • Vehicle classification system in domestic tollgates is usually to use treadle sensor for calculating wheel width and tread of the vehicle. Due to the impact that occurs when the wheels of the vehicle contact, treadle sensor requires high durability. Recently, KHC(Korea Highway Corporation) began operating high-speed lane for cargo truck. High-speed cargo truck generate more impact the design criteria of previous treadle. Therefore, an increase in the maintenance and management costs of the treadle damage is concerned. In this paper, we propose an algorithm to classify vehicles using non-contact treadle sensors for improving durability from physical impacts. This was based on the KHC's classification criteria and showed a classification accuracy of 99.5 % in one experiment with 1892 vehicles through Changwon tollgate in 1020 local road. Therefore, it shows that vehicle classification system using non-contact treadle sensor could be applied to domestic toll tollgates, effectively.

Development of Certification Program for Barrier-Free in Forest Trail (숲길에서의 Barrier-Free 인증제도 개발에 관한 연구)

  • Kweon, Hyeong-Keun;Choi, Yeon-Ho;Kim, Myeong-Jun;Yeom, In-Hwan;Lee, Joon-Woo
    • Korean Journal of Agricultural Science
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    • v.37 no.1
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    • pp.37-43
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    • 2010
  • This study carried out to develop barrier-free certification program in forest trail. It is done to provide the certification system presented about certification organized, certification standard and indexes, evaluation method and operation plan. In order to develop certification program in forest trail, detailed measurement index must be developed earlier based on an accessbility, a stability, a preservation and a walking continuity. The suitable forest trail for weak pedestrian was investigated that running slope should be 1/20(5%) maximum, cross slope cannot exceed 1/50(2%) maximum and clear tread width should be above of minimum 90cm. In addition, the trail type is designed as a mixed trail system which is a combination of the loop and the line form and its distance should be 225~675m. Finally, forest trail should be manage sustainably by having regular monitoring and evaluation.