• Journal of Korean Society of Transportation
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• v.18 no.6
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• pp.47-61
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• 2000

차량추종모형은 차선변경모형과 함께 미시적 시뮬레이션 모형의 핵심 모형으로서 정확한 차량추종모형의 적용은 시뮬레이션 모형 분석결과의 신뢰성에 영향을 미친다. 기존의 차량추종모형은 대부분 가속상황과 감속상황에 동일한 모형을 적용하거나 자극부문과 민감도 부분은 거의 동일한 형태를 취하고 있으며, 가상자료를 토대로 모형이 개발되었다. 본 연구의 목적은 첫째, 모형을 추정하기 위한 연구체계를 구성하고, 둘째, 이러한 연구체계를 이용하여 신호교차로 미시적 시뮬레이션에 직접 적용이 가능한 차량추종모형을 정립하는 데 있다. 본연구에서는 이를 위해서 신호교차로에서 미시적 실측자료를 수집하였으며, 수집된 자료에서 통계적 기법을 통해서 모형 추정에 적합한 자료를 구축하였다. 현장에서 실측된 이산적인 원시자료는 차량추종모형 추정에 직접 이용할 수 없다. 따라서, 이산적 원시자료를 모형추정에 적합한 자료로 구성하기 위하여 비선형 곡선적합 알고리즘을 이용하여 연속적인 궤적함수를 구성하였고, 이를 통해서 모형추정에 필요한 선두차량과 후행차량의 현재시점과 반응시간 이후 시점에서의 위치, 순간 가속도와 순간속도 등을 도출하였다. 본 연구에서는 차량추종상황을 가속상황, 감속상황, 출발상황, 그리고 정지상황으로 구분하여 차량추종모형을 구축하였다. 가속상황과 감속상황에 대해서는 실측자료를 이용하여 모형을 추정하였으며, 출발상황과 정지상황에 대해서는 추정된 가/감속상황의 모형을 바탕으로 출발상황과 정지상황에서의 차량행태를 설명할 수 있는 모형을 구축하였다 또한, 민감도와 자극부분을 새롭게 정의하여 각 상황별로 미시적 실측자료를 이용하여 모형을 추정하였다. 이렇게 추정된 모형들 중에서 통계적 기법과 실측치와의 비교를 통해서 가장 적합한 모형을 선택하였다. 선택된 모형은 통계적 검정, 가상자료 그리고 실측치와의 비교를 통해서 분석하였으며, 분석결과 구축모형의 적용성은 우수한 것으로 분석되었다.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.33 no.5
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• pp.1999-2007
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• 2013

The key characteristics of two-lane-and-two-way traffic flow are platoon and overtaking caused by low-speed vehicle such as truck. In order to develop two-way traffic flow model comprised of CF(car-following) and overtaking model, it is essential to develop a car-following model which is suitable to two-way traffic flow. Short distance between vehicles is caused when a high-speed vehicle tailgates and overtakes foregoing low-speed vehicle on two-way road system. And a vehicle following low-speed vehicle decides to overtake the front low-speed vehicle using suitable space within the headway distribution of opposite traffic flow. For this reason, a two-way CF model should describes not only running within short gap but also headway distribution. Additionally considering domestic two-way-road size, there is a on-going need for large-network simulation, but there are few studies for two-way CF model. In this paper, a two-way CA model is developed, which explains two-way CF behavior more realistic and can be applied for large road network. The experimental results show that the developed model mimics stop-and-go phenomenon, one of features of congested traffic flow, and efficiently generates the distribution of headway. When the CF model is integrated with overtaking model, it is, therefore, expected that two-way traffic flow can be explained more realistically than before.

• Journal of the Korean Association of Geographic Information Studies
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• v.3 no.4
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• pp.11-21
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• 2000

The travel behavior should be analysed microscopically for the traffic management of urban street. The car following theory which found out the correlation between the lead and the following vehicles is being widely used as basic data in many fields. As the vehicle position and its speed information can be received by GPS, this technique is recently applying to the various fields. For the case study the travel data were collected with two vehicles equipped with GPS receiver. The moving distance was calculated by the collected location data every 2 seconds and the speed variation was checked. And this study analysed and compared the acceleration and deceleration speed between the lead and the following vehicle. Finally, Regression model about the relationship between the acceleration and deceleration speed and the acceleration and deceleration distance was constructed. This model could be helpful for the road design and the regulation for the safe traffic management.

• Journal of Korean Society of Transportation
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• v.18 no.6
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• pp.19-32
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• 2000

우리나라 비신호 교차로의 운영방법은 미국과는 다르게 대부분 완전 비제어식 운영(Totally Uncontrol)방법으로 되어있다. 본 연구에서는 우리나라 비신호 교차로들 중 미국 HCM의 TWSC 교차로에 관한 분석방법이 적용 가능하다고 판단되는 비신호 교차로들을 대상으로 임계간격과 추종시간의 기준을 분석하였다. 본 연구에서는 수도권을 중심으로 총 11개의 4-지 비신호 교차로들을 대상으로 이동류별, 차량의 종류별에 따른 차량들의 임계간격과 추종시간을 조사 및 분석하였다. 그 결과 임계간격은 3.8초 - 5.4 초로 나타났으며, 추종시간은 2.4초- 2.7초 범위를 나타내었다. 또한, 임계간격의 경우 차량의 종류별에 따른 차이는 나타나지 않았으나, 이동류별로는 차이를 나타내었다. 이에 반하여, 추종시간은 이동류별에 따른 차이가 없으며, 차량의 종류별에 따라 차이가 존재하는 것으로 분석되었다. 본 연구의 분석 결과인 임계간격과 추종시간의 기준치를 국외 나라들의 연구결과와 비교 분석한 결과는 국외보다 낮게 분석되었으며, 이는 우리나라와 국외의 운전자 운전특성과 비신호 교차로의 운영방식의 차이에서 나타난 결과로 판단된다. 본 연구에서 제안한 임계간격과 추종시간의 기준은 수도권 지역의 4-지 비신호 교차로들 중 주도로와 부도로의 교통량과 속도 등의 현저한 차이가 있는 교차로 분석시 이 기준으로 적용할 수 있고, 우리 나라의 TWSC 방법을 갖는 비신호 교차로에 관한 용량과 지체시간의 이론적 모형 개발과 용량 및 지체시간의 분석을 위한 기초 자료로 활용할 수 있을 것으로 판단된다.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.12 no.3
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• pp.53-64
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• 2013

The car-following model is one of core models in Advanced Vehicle & Highway Systems (AVHS). The car-following model has been developed in aspects such as human factor and reduction error rates. However, the consideration of safety depending on weather condition has not been completed yet. In this paper, therefore, changes of driving condition for car-following due to different road condition were dealt with, and optimal safety distance corresponding to road condition such as dry, wet and snowy were computed. The GMIT(GM Model with Instantaneous T) model was picked over for simulation of adaptive cruise control applied the suggested optimal safety distance. As the results, the 1.7 times longer safety distance was required for wet road condition than dry road condition, and the 5.6 times longer safety distance was required for snowy road condition.

• Journal of the Korean Society for Railway
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• v.9 no.4 s.35
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• pp.449-454
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• 2006

본 연구는 Labview Simulation Interface Toolkit과 Matlab/Simulink를 조합한 제어 시스템을 매우 짧은 차간 간격을 요구하고, 차량 간의 충돌을 피하기 위해서 매우 정확한 속도제어를 필요로 하는 개인 고속 이동 시스템에 응용하는 것에 대해서 다룬다. 간단한 차량의 운동방정식을 유도하기 위해서 선형모터를 도입한다. 후미 차량에 의해서 추종되어 져야하는 속도 프로파일은 두 차량(선행차량과 후미차량) 간의 상태정보를 기초로 해서 생성된다. 속도 프로파일 추종을 위한 제어 시스템은 Matlab/Simulink 에 의해서 설계된다. 모의시험 결과는 제안된 제어 시스템이 속도 추종 특성을 평가하는데 효과적임을 보인다.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.23 no.1
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• pp.42-60
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• 2024

This study analyzed the characteristics of mixed traffic flows with autonomous vehicles on highway weaving sections and assessed the safety of vehicle-following pairs based on surrogate safety indicators. The intelligent driver model (IDM) was utilized to emulate the driving behavior of autonomous vehicles, and the weaving sections were divided into lengths of 300 and 600 meters for analysis within a micro-traffic simulation (VISSIM). Although significant differences were found in the average speed, density, and headway between the two sections through t-test results, no significant differences were observed when comparing the number of conflicts per indicator and the vehicle-following pair. Four safety indicators were selected for the mixed traffic evaluation based on their ability to represent risk levels similar to those perceived by drivers. The safety analysis, based on the selected four indicators, determined that autonomous vehicles following other autonomous vehicles were the safest pairing. Future research should focus on integrating these indicators into a single comprehensive index for analysis.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.8 no.5
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• pp.48-56
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• 2009

Regulation of Visible Light Transmission Percentage (VLT%) has been argued because it was known that the degree of darkness of tinted vehicle can affect to driving maneuver. Previously, it was proven that low level of VLT affects capacity reduction. But, due to lack of field data they could not analyze the effect of Car-Following model parameters. This study focuses on the effect of a tinted vehicle on following traffic flow. RTK GPS receiving data through field experiment analyzed based on headway distance, acceleration noise, sensitivity, and reaction time. As a result of analysis through GM 1st Model and 3rd Model, influence of following vehicle vary inversely with VLT and risk according as tinting of lead vehicle is third vehicle bigger than second vehicle. Also the results patterns of GM 3rd model include distance-headway are same with GM 1st Model. In the further need to research for influence analysis of traffic flow stability by the level of VLT.

• Proceedings of the KIPE Conference
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• 2020.08a
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• pp.371-372
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• 2020

최근 차량에 적용 가능한 에너지 하베스팅 연구가 활발히 이루어지고 있다. 차량 폐열을 활용하는 열전 소자의 경우 급격한 온도 변화 특성이 있는 내연기관, 배기관 등의 전장 부품에 적용될 수 있다. 이러한 전장 부품에서 가능한 많은 열에너지를 회수하기 위해 빠르고, 정확한 최대 발전전력 추종 기법이 필수적이다. 본 논문은 이러한 열전 소자 발전의 차량 적용을 위한 최대 전력 추종 기법을 살펴보고 비교 조사 분석한다.

• Journal of Korean Society of Transportation
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• v.24 no.3 s.89
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• pp.17-27
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• 2006

Car following model is a theory that examines changes of condition and interrelationship of acceleration deceleration. headway, velocity and so on closely based on the hypothesis that the Posterior vehicle always follows the preceding vehicle. Car following mode) which is one of the research fields of microscopic traffic flow was first introduced in 1950s and was in active progress in 1960s. However, due to the limitation of data gathering the research depression was prominent for quite a while and then soon was able to tune back on track with development in global positioning system using satellite and generalization of computer use. Recently, there has been many research studies using reception materials of global Positioning system(GPS). Introducing GPS technology to traffic has made real time tracking of a vehicle position possible. Position information is sequential in terms of time and simultaneous measurement of several vehicles in continuous driving is also practicable. Above research was focused on judging whether it is feasible to overcome the following model research by adopting the GPS reception device that was restrictively proceeded due to the limitation of data gathering. For practical judgment, we measured the accuracy and confidence level of the GPS reception devices material by carrying out a practical experiment. Car following model is also being applied in simulations of traffic flow analysis, but due to the difficulty of estimating parameters the basis of the above result. it is our goal to produce an accurate calibration of car following model's parameters that is suitable in this domestic actuality.