• Title/Summary/Keyword: 차선변경 시뮬레이션

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Development of a Traffic Simulation Program for Uninterrupted Traffic Flow Facilities (연속류 도로의 한국형 모의실험 프로그램 개발)

  • 최대순
    • Proceedings of the Korea Society for Simulation Conference
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    • 1997.04a
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    • pp.45-60
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    • 1997
  • 본연구의 목적은 1994년과 1995년의 연구 결과를 토대로 고속국도 교통류의 차량 추종, 차선 변경 특성을 현장 조사 자료를 통하여 분석·규명하고, 국내 고속도로의 교통류 특성을 반영할 수 있는 한국형 고속국도 모의실험 모형을 개발하는데 있다. 본 연구의 주요 결과는 다음과 같다. ▶ 국내 고속국도 교통류의 차두시간, 속도, 차량군의 크기, 차선 변 경, 중차량의 영향 등의 특성을 조사·분석하여 관련 매개변수와 모형식을 도출하였다. ▶ 차량 생성 모형은 개별 차량의 차두시간, 속도를 이용하여 구축하였으며, 중차량의 구성 비 율에 따른 속도 변화를 연구하여 그 결과를 모형 구축에 응용하였다. ▶ 차량 추종 모형은 1995년 연구에서 검증된 PITT-KLD 모형에 기반을 두었으며, 현장 실측 자료를 분석하여 차량 추종과 관련된 매개변수들을 설정하였다. ▶ 차선 변경 모형은 기본적으로 간격 수락 모형을 이용하였으며, 차선 변경시 임계 간격을 국내 운전자들의 유형에 따라 10가지로 설 정하였다. 차선 변경 확률은 현장 조사 자료를 기초로 한 경험적 모형을 구축하여 선정하였 으며, 마코프 연쇄 기법과도 비교·검토하였다. ▶ 개발된 모의실험 모형을 비교·평가하기 위 해 고속국도 합류부의 현장 조사 자료와 모의실험 모형을 비교·평가한 결과, 합류 이전 단 계에서는 실측치와 모형의 통계량이 어느 정도 유사한 양상을 보이지만 합류 이후 단계에서 는 차이를 나타내고 잇다.

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Design and Implementation of Vehicle Traffic Simulation System (차량 트래픽 시뮬레이션 시스템의 설계 및 구현)

  • 노기석;조형제
    • Proceedings of the Korea Multimedia Society Conference
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    • 2002.11b
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    • pp.470-473
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    • 2002
  • 기존 차량 트래픽 시스템 관련 연구들은 신호등체계 보다 차선변경을 중요시하고, 차량의 목적지 없이 랜덤으로 주행함으로 사실성이 저하된다. 본 논문에서는 차량 트래픽의 사실성을 높이기 위해 신호등체계를 도입하고 출발지와 목적지 등을 부여한다. 또한 출발지점과 목적지점의 차량 트래픽률을 제어하고, 출발지점에서 목적지점까지의 최적경로를 찾아 주행하는 방법에 대해 설계하고 구현한다.

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Human Driving Data Based Simulation Tool to Develop and Evaluate Automated Driving Systems' Lane Change Algorithm in Urban Congested Traffic (도심 정체 상황에서의 자율주행 차선 변경 알고리즘 개발 및 평가를 위한 실도로 데이터 기반 시뮬레이션 환경 개발)

  • Dabin Seo;Heungseok Chae;Kyongsu Yi
    • Journal of Auto-vehicle Safety Association
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    • v.15 no.2
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    • pp.21-27
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    • 2023
  • This paper presents a simulation tool for developing and evaluating automated driving systems' lane change algorithm in urban congested traffic. The behavior of surrounding vehicles was modeled based on driver driving data measured in urban congested traffic. Surrounding vehicles are divided into aggressive vehicles and non-aggressive vehicles. The degree of aggressiveness is determined according to the lateral position to initiate interaction with the vehicle in the next lane. In addition, the desired velocity and desired time gap of each vehicle are all randomly assigned. The simulation was conducted by reflecting the cognitive limitations and control performance of the autonomous vehicle. It was possible to confirm the change in the lane change performance according to the variation of the lane change decision algorithm.

Optimum Speed Simulation for Electronic Toll Collection (Electronic Toll Collection 운영속도 시뮬레이션)

  • Sin, Heung-Gweon;Nam, Doohee
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.13 no.3
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    • pp.87-92
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    • 2013
  • This study is to analyze the impacts of different High-Pass lane speed limits. Paramics, microscopic simulation software, was used to perform microscopic simulations. For the simulations, Incheon toll gate traffic count data was used. The Paramics simulation results show that higher High-Pass speed limit (70Km/h) produced better traffic flow condition and less air pollution cost compared to existing High-Pass speed limit (30Km/h).

Dynamic Simulation using the Driver Model to Evaluate the Handling Performances (운전자 모델을 이용한 조종안정성능 평가 시뮬레이션)

  • 손희성
    • Transactions of the Korean Society of Automotive Engineers
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    • v.5 no.5
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    • pp.1-8
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    • 1997
  • The purpose of this study is to suggest the methods to model driver input and evaluate the handling performances of a vehicle by dynamic simulation using ADAMS (Automated Dynamic Analysis of Mechanical Systems) software. The driver input was modeled using the PID controller to follow the desired velocities and paths. The gains of the controller were decided by the trial and error methods aided by Ziegler-Nichols rule. It was successful to apply the rule for the vehicle model to follow the desired values of steady state cornering and lane change maneuver. As the results, handling performances of baseline and two variegated vehicles were evaluated. The theoretical provement was performed to explain the differences.

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Investigation of Impacts of Truck Lane Restrictions on Multilane Highways Using Micro Traffic Simulation (미시적 시뮬레이션을 이용한 화물차 차로이용제한 영향분석)

  • Yang, Choong-Heon;Son, Young-Tae;Kwon, Yong-Suk
    • International Journal of Highway Engineering
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    • v.9 no.4
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    • pp.75-82
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    • 2007
  • This study was performed to investigate impacts of truck lane restrictions on multilane highways on traffic flow variables such as average speed, the frequency of lane changes, and change in traffic volume and also to verify whether or not different lane restriction scenarios were proper. Two types of hypothetical highway networks and OD demands were developed for traffic simulation models in order to conduct the experimental study. Three types of scenarios were also developed according to the number of restricted lanes for trucks. The PARAMICS microscopic traffic simulation software package was used as the primary analytical tool. Statistical analysis was conducted with simulation outputs. Results showed that truck lane restrictions may lead to positive impacts on traffic flow on multilane highways. In addition, this study demonstrated that the number of restricted lanes can be very an important factor to lead successful implementation of truck lane restrictions.

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Optimization of front Bump Steer for Improving Vehicle Handling Performances (차량의 조종 안정성 향상을 위한 전륜 범프 스터어 최적화)

  • 서권희;이윤기;박래석;박상서;윤희석
    • Journal of the Korean Society for Precision Engineering
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    • v.17 no.2
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    • pp.80-88
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    • 2000
  • This paper presents a method to optimize the bump steer characteristics (the change of toe angle with vertical wheel travel) with respect to hard points in the double wishbone front suspension of the four-wheel-drive vehicle using the design of experiment, multibody dynamics simulation, and optimum design program. Front and rear suspensions are modeled as the interconnection of rigid bodies by kinematic joints and force elements using DADS. The design variables with respect to the kinematic characteristics are obtained through the experimental design sensitivity analysis. An object function is defined as the area of absolute differences between the desired and experimental toe angle. By the design of experiment and regression analysis, the regression model function of bump steer characteristics is extracted. The design variables that make the toe angle optimized are selected using the optimum design program DOT. The lane change simulations and tests of the full vehicle models are implemented to evaluate the improvement of vehicle handling performances by the optimization of front bump steer characteristics. The results of the lane change simulations show that the vehicle with optimized bump steer has the weaker understeer tendency than the vehicle with initial bump steer.

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Automated Driving Lane Change Algorithm Based on Robust Model Predictive Control for Merge Situations on Highway Intersections (고속도로 합류점 주행을 위한 강건 모델 예측 기법 기반 자율주행 차선 변경 알고리즘 개발)

  • Chae, Heongseok;Jeong, Yonghwan;Min, Kyongchan;Lee, Myungsu;Yi, Kyongsu
    • Transactions of the Korean Society of Mechanical Engineers A
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    • v.41 no.7
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    • pp.575-583
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    • 2017
  • This paper describes the design and evaluation of a driving mode decision algorithm for automated driving for merge situations on highways. For the development of a highly automated driving control algorithm for merge situations, the driving mode decision is crucial for merging appropriately. There are two driving modes: lane keeping and lane changing (merging). The merge mode decision is determined based on the state of the surrounding vehicles and the remaining length of the merge lane. In the merge mode decision algorithm, merge possibility and the desired merge position are decided to change the lane safely and quickly. A safety driving envelope is defined based on the desired driving mode using the information on the surrounding vehicles' behaviors. To obtain the desired steering angle and longitudinal acceleration for maintaining the subject vehicle in the safe driving envelope, a motion planning controller is designed using model predictive control (MPC), with constraints that are decided considering the vehicle dynamics, safe driving envelope, and actuator limit. The proposed control algorithm has been evaluated via computer simulation studies.

Analyzing Traffic Impacts of the Utilitarian Robotic Autonomous Vehicle (자율주행차량의 윤리적 문제 점검을 위한 시뮬레이션 연구)

  • Im, I-Jeong;Kim, Kwan-Yong;Lee, Ja-Young;Hwang, Kee-Yeon
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.16 no.2
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    • pp.55-72
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    • 2017
  • Autonomous Vehicles(AV) are considered as an alternative to solve various social problems. Many researches which are related to developing technologies and AV operations have been conducted vastly and on-going. However, there seem to be little studies on various influences of AI algorithm on driving installed in AV. This study aims to examine the impacts of the ethical decisions made by Utilitarianism-based AI in AV when the oncoming car crossed over the central line. It establishes scenarios about situation of encroaching a central line and analyzes traffic impacts of ethical decision made by AV. According to the results of the analyses, as th accident occurs, overall speed of traffic decrease. There is a negative impact on the traffic flow when AV made an Utilitarian-based ethical decision by changing the lane. However, when AV choose to collide head-on, there is a positive effect to relieve traffic flow with an assistance of CACC, equipped.