• Title/Summary/Keyword: 주행차량속도

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Estimation of Dynamic Load Amplification Factors under Various Roughness Indices and Vehicle Classes (주행차량의 종류와 아스팔트 콘크리트 포장 평탄성에 따른 동적하중 증가계수 산정)

  • Choi, Jun-Seong;Seo, Joo-Won;Kim, Jong-Woo
    • International Journal of Highway Engineering
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    • v.14 no.2
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    • pp.29-36
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    • 2012
  • In this study, frequently passing vehicles with two, three, four, and five axles were chosen through traffic volume analysis in Kyung-In Expressway in order to analyze how the road roughness and vehicle speed affect on the dynamic loads for roads in various vehicle classes. Dynamic loads according to chosen vehicles are estimated by TruckSim program. Dynamic load amplification factor is ratio between dynamic and static loads, and it is also determined for each vehicle classes. From the result of dynamic loads estimated by the dynamic load amplification factor, it is shown that for three-axles vehicle, when IRI is 3.5 and vehicle speed is 100km/hr, asphalt pavements receive additional 36% of static loads in maximum. The analysis of the amplification factor according to each vehicle classes also indicates that the amplification factor increases as the distance between the axles becomes smaller and each axle receives more loads.

Development of Vision-Based Vehicle Tracking for Extracting Microscopic Traffic Information (미시적 교통정보자료의 취득을 위한 영상기반 차량추적기술 개발)

  • Lee, Ki-Young;Chang, Myung-Soon
    • Journal of Korean Society of Transportation
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    • v.23 no.7 s.85
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    • pp.137-148
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    • 2005
  • The position information of individual vehicles on a road at every time instant can be used to analyze the microscopic behaviors of driving of each vehicle. The limited information obtained from previous imaging technology such as traffic volume and interval velocity cannot be used to explore such microscopic traffic conditions. Also, information gathering for the microscopic behaviors by manual analysis of captured video takes large amount of time and man-power. In the paper we develop the rule-based vehicle tracking technology from which the position information of individual vehicles on a road at every time instant can be automatically obtained. Also, we extract the position data of driving vehicles on a road, length of 130m for every 0.05 second, and calculate the velocity of each traced vehicles to compare with the real velocity for the verification of accuracy. In the future, this type of tracking techniques based on video analysis can be widely used to provide the practically important information of road traffic conditions and to analyze the academically important microscopic behaviors of driving patterns.

A Estimation Model of The Fuel Consumption Based on The Vehicle Speed Pattern (차량 속도패턴에 따른 연료소모량 관계식 산정)

  • Won, Min-Su;Gang, Gyeong-Pyo;Kim, Jeong-Wan
    • Journal of Korean Society of Transportation
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    • v.29 no.4
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    • pp.65-71
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    • 2011
  • It is practically hard to measure vehicle fuel consumption required to evaluate the energy-related governmental policies and traffic management strategies; the existing methods are too simplified due to the limited field data available. Existing methods are even unable to reflect the amount of fuel consumed when vehicles accelerate and decelerate, and such technical limitations have reduced the quality of the policy evaluation. This study proposes a new fuel consumption model that simultaneously considers the effects of both cruising speed and acceleration/deceleration of vehicles. A new fuel consumption model was developed based on the simulation data generated by AVL Cruise, a vehicle simulation program. The estimated by the proposed model was compared against the one from the existing method. Comparison results showed that the proposed model provided much reliable estimate (fuel consumption) than the other did.

Impacts of Automated Vehicles on Freeway Traffic-flow - Focused on Seoul-Singal Basic Sections of GyeongBu Freeway - (자율주행차량 도입에 따른 고속도로 교통류 영향분석 - 경부고속도로 서울-신갈 기본구간을 중심으로)

  • Park, In-seon;Lee, Jong-deok;Lee, Jae-yong;Hwang, Kee-yeon
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.14 no.6
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    • pp.21-36
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    • 2015
  • These days Automated Vehicle(AV) has been receiving attention as a fundamental solution to resolve the various transportation problems and various researches related to the benefits of AV have been done. However, previous researches mainly analyzed the effects in the virtual network. The purpose of this research is to predict and to find out the benefits by introducing the Automated Vehicle to present road traffic system. Thus, the study analyzes the traffic-flow changes of Gyeongbu freeway Seoul-Singal basic section which is planned for setting the test-bed. The results show that Automated Vehicle can have negative effects on the traffic-flow in low volume of LOS A and B. However, the average speed increases and the traffic density decreases in more than LOS C, the traffic volume increase. Therefore, the introduction of Automated Vehicle achieves positive effect on various transportation problems such as the traffic congestion.

A Study on Vehicle Big Data-based Micro-scale Segment Speed Information Service for Future Traffic Environment Assistance (미래 교통환경 지원을 위한 차량 빅데이터 기반의 미시구간 속도정보 서비스 방안 연구)

  • Choi, Kanghyeok;Chong, Kyusoo
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.21 no.2
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    • pp.74-84
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    • 2022
  • Vehicle average speed information which measured at a point or a short section has a problem in that it cannot accurately provide the speed changes on an actual highway. In this study, segment separation method based on vehicle big data for accurate micro-speed estimation is proposed. In this study, to find the point where the speed deviation occurs using location-based individual vehicle big data, time and space mean speed functions were used. Next, points being changed micro-scale speed are classified through gradual segment separation based on geohash. By the comparative evaluation for the results, this study presents that the link-based speed is could not represent accurate speed for micro-scale segments.

A Fuel Economy Improvement Method using GPS data in Highway (고속도로에서 GPS데이터를 이용한 연비 향상 방안)

  • Choi, Seong-Cheol;Lee, Won-Ho;Moon, Byung-Koo;Kim, Young-Il;Han, Young-Min
    • Proceedings of the KAIS Fall Conference
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    • 2011.05b
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    • pp.537-539
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    • 2011
  • 최근의 차량 연비는 엔진, 파워트레인 등 차량의 구성품들을 성능 개선하여 많이 향상 되었으나 연비 측정은 현재도 주어진 모드(LA-4, FTP-75 등)에서 컴퓨터 모의시험 및 다이나모에서 수행한다. 본 논문에서는 차량에 미리 장착된 지리정보데이터와 현재 주행하면서 수신되는 GPS 데이터를 이용하여 약 213Km 영동고속도로를 주행하면서 실제 도로의 연비 향상 방안을 도출한다. 지리정보데이터와 주행하면서 수신한 GPS 데이터 중에서 거리와 고도 데이터를 추출하여 각 구간의 경사도, 주행저항을 계산, 연비향상 알고리즘에 따른 속도 프로파일을 영동고속도로 전 구간에 대해서 완성하고 이 속도 프로파일로 컴퓨터를 이용한 AVL사의 CRUISE 프로그램으로 모의 주행하여 연비를 산출하고 연비 향상 방안을 제안한다.

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Estimating Acceleration and Deceleration Lane Lengths by Analyzing Vehicle Speed Variation of Rest Areas for Drowsy Drivers (고속도로 졸음쉼터 진·출입 차량 주행속도 분석 및 적정 가·감속차로 길이 산정 연구)

  • Han, Dajeong;Kim, Eungcheol
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.17 no.6
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    • pp.54-66
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    • 2018
  • In this study, vehicle speeds at acceleration and deceleration lanes of rest areas for drowsy drivers were investigated to analyze effects of acceleration and deceleration lane lengths, grades and curve radius. In addition, we used VISSM to analyze proper lengths of rest area's acceleration and deceleration lanes. Several VISSIM scenarios with different lengths of acceleration and deceleration lane were constructed. Through VISSIM simulation, we collected individual vehicle speed data to analyze speed changes by different lengths of acceleration and deceleration lanes. As a result of the vehicle speed change investigation, grades and curve radii of the rest area affected the speed, most of all lengths of acceleration and deceleration lane showed a great effect on the vehicle speed. In the case of short lengths of acceleration and deceleration lane, speed variation among vehicles was significant. If the deceleration lane length is short, the vehicle enters a state in which the speed is not sufficiently reduced, and if the acceleration lane length is short, the vehicle enters a state in which the speed is not sufficiently accelerated showing high risks of conflicts and accidents. It is recommended that 245m length of deceleration lane and 370m length of acceleration lane should be installed at least to secure safety and manage conflicts relevantly.

Improvement of Forest Road Construction Related to the Running Speed of Cargo Truck (차량(車輛)의 주행속도(走行速度)에 관계(關係)하는 임도(林道)의 구조(構造) 개선(改善))

  • Lee, Joon Woo
    • Journal of Korean Society of Forest Science
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    • v.85 no.3
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    • pp.513-523
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    • 1996
  • This study was a med at predicting running speed related to alignment factors of forest road, and recommending the improvement method of forest road construction using the running speed of vehicles. For these purposes, this study proceeds to select forest roads after reviewing the planning papers and maps, to measure the road alignment factors such as longitudinal gradient, width of roadway, radius of curve, length of curve, superelevation, and conditions of road surface on the subject forest road. It was found that the running speed of vehicle on forest road is mainly influenced by the conditions of road surface, radios of curve, compound gradient, length of curve, longitudinal gradient and so on. The average running speed of cargo truck showed lower value than that of the expected speed of 'Forest Road Construction Regulations and Rules', and the average running speed of loaded truck showed 70-85% of the speed of empty truck. According to the road conditions, the changes of running speed can be expressed mathematically in terms of the increment of radius of curve and longitudinal gradient. The results of the study on the running speed of vehicle subject to the alignment of forest roads make it possible for one to judge the quality of the existing and to be constructed forest roads, to select the structure of forest road to improve the running speed of vehicle on forest road.

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노선특성에 따른 고무차륜 AGT 경량전철의 제한속도

  • 김연수;윤성철;백남욱
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 2004.05a
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    • pp.69-69
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    • 2004
  • 고무타이어를 주행륜으로 사용하고 무인운전으로 운행되는 고무차륜 AGT 경량전철 차량의 성능최고 속도는 70km/h이고 운행최고속도는 60km/h로 차량 표준사양에서 결정되어 고시되었다. 그러나 차량이 운행되는 노선의 다양한 곡률반경에 따라 제한속도가 결정되어야 하고, 고무타이어가 손상된 경우를 가정한 안전 제한속도도 결정해야 한다. 본 논문의 목적은 설계 및 제작이 완료된 한국형 표준 고무차륜 AGT 경량전철 차량에 대해 운행노선의 곡선반경에 따른 제한속도, 고무타이어의 손상에 따른 안전 제한속도, 그리고 이상의 조건들에 대한 승객의 승차감을 해석하여 제안하는 것이다.(중략)

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적응적 고차상관 처리를 이용한 차량의 주행궤적 검출계

  • 장경영;오재응
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 2001.10a
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    • pp.169-173
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    • 2001
  • 무인 운반차 등의 주행괘적을 검출하기 위해서는, 일반적으로 순간적인 주행속도와 진행방향을 축차적으로 검출하여 이로부터 궤적을 측정하는 방법이 이용되어져 왔으며, 이를 위하여 종래에는 타코미터, 2차 상관법, 공간 필터법 등과 같은 속도 계측 수단과 스티어링 각도 검출기, 자이로등의 회전각 검출 수단을 병용하여야 했다. 본 논문에서는 복수개의 광 선 검출기 군과 이에 대응하는 고차의 상관처리를 이용한 단일계로서 차량의 임의의 궤적을 원호로 근사하여 검출함으로써 곡선 궤적인 경우에도 고정도의 궤적추정이 가능한 새로운 계측법을 제안한다.