• Title/Summary/Keyword: Advanced Emergency Braking

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Development of Advanced Emergency Braking Algorithm for the enhanced longitudinal safety (종방향 안전도 향상을 위한 자동비상제동 알고리즘 개발)

  • Lee, Taeyoung;Yi, Kyongsu;Lee, Jaewan
    • Journal of Auto-vehicle Safety Association
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    • v.5 no.1
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    • pp.56-61
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    • 2013
  • This paper presents a development of the Advanced Emergency Braking (AEB) Algorithm for passenger vehicles. The AEB is the system to slow the vehicle and mitigate the severity of an impact when a rear end collision probability is increased. To mitigate a rear end collision, the AEB comprises of a millimeter wave radar sensor, CCD camera and vehicle parameters of which are processed to judge the likelihood of a collision occurring. The main controller of the AEB algorithm is composed of the two control stage: upper and lower level controller. By using the collected obstacle information, the upper level controller of the main controller decides the control mode based not only on parametric division, but also on physical collision capability. The lower level controller determines warning level and braking level to maintain the longitudinal safety. To decide the braking level, Last Ponit To Brake and Steer (LPTB/LPTS) are compared with current driving statues. To demonstrate the control performance of the proposed AEBS algorithm's, closed-loop simulation of the AEBS was conducted by using the Matlab simlink and CarSim software.

Development of the Driving path Estimation Algorithm for Adaptive Cruise Control System and Advanced Emergency Braking System Using Multi-sensor Fusion (ACC/AEBS 시스템용 센서퓨전을 통한 주행경로 추정 알고리즘)

  • Lee, Dongwoo;Yi, Kyongsu;Lee, Jaewan
    • Journal of Auto-vehicle Safety Association
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    • v.3 no.2
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    • pp.28-33
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    • 2011
  • This paper presents driving path estimation algorithm for adaptive cruise control system and advanced emergency braking system using multi-sensor fusion. Through data collection, yaw rate filtering based road curvature and vision sensor road curvature characteristics are analyzed. Yaw rate filtering based road curvature and vision sensor road curvature are fused into the one curvature by weighting factor which are considering characteristics of each curvature data. The proposed driving path estimation algorithm has been investigated via simulation performed on a vehicle package Carsim and Matlab/Simulink. It has been shown via simulation that the proposed driving path estimation algorithm improves primary target detection rate.

Performance Evaluation Procedure for Advanced Emergency Braking System (자동비상제동 시스템의 안전성능평가)

  • Kim, Taewoo;Yi, Kyongsu;Choi, In Seong;Min, Kyong Chan
    • Journal of Auto-vehicle Safety Association
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    • v.7 no.2
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    • pp.25-31
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    • 2015
  • This paper presents a performance evaluation procedure for advanced emergency braking (AEB) system. To guarantee the performance of AEB system, AEB test scenario should contains various driving conditions which can be occurred in real driving condition. Also, performances of each elements of AEB system, such as sensor, decision, human machine interface (HMI) and control, should be evaluated in various situations. For this, driving conditions, road types, environment, and elements of AEB system were introduced. Test scenario has been designed to represent the real driving condition and to evaluate the safety performance of AEB system in various situations. To confirm that the proposed AEB test scenario is realistic and physically meaningful, vehicle test have been conducted in two cases of proposed AEB test scenario: subject vehicle cut-out scenario and narrow street turn left scenario.

A Evaluation of Emergency Braking Performance for Electro Mechanical Brake using Interior Permanent Magnet Synchronous Motor (매입형 영구자석 동기전동기를 적용한 전기기계식 제동장치의 비상제동 성능평가)

  • Baek, Seung-Koo;Oh, Hyuck-Keun;Park, Joon-Hyuk;Kim, Seog-Won;Kim, Sang-soo
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.21 no.6
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    • pp.170-177
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    • 2020
  • This study examined the clamping force control method and the braking performance test results of an electromechanical brake (EMB) using braking test equipment. Most of the studies related to EMBs have been carried out in the automotive field, dealing mainly with the static test results for various control methods. On the other hand, this study performed a dynamic performance evaluation. The three-phase interior permanent magnet synchronous motor (IPMSM) was applied to drive the actuator of the EMB, and the analysis was verified by JMAG(Ver. 18.0), which is finite element method (FEM) software. The current control, speed control, and position control were used for clamping force control of the EMB, and the maximum torque per ampere (MTPA) control was applied to the current controller for efficient control. The EMB's emergency braking deceleration performance was tested in the same way as conventional pneumatic brake systems when the wheel of a train rotates at 110 km/h, 230 km/h, and 300 km/h. The emergency braking time, with the wheel stopped completely at the maximum rotational speed, was approximately 73 seconds. The similarity of the braking time and deceleration pattern was verified through a comparison with the performance test results of the pneumatic brake system applied to the next generation high-speed railway vehicle (HEMU-430X).

Methodology for Estimating Safety Benefits of Advanced Driver Assistant Systems (첨단 운전자지원시스템의 교통안전 효과추정 방법론)

  • Jeong, Eunbi;Oh, Cheol
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.12 no.3
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    • pp.65-77
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    • 2013
  • Recent advanced sensors and communication technologies have been widely applied to advanced safety vehicle (ASV) for reducing traffic accident and injury severity. To apply the advanced safety vehicle technologies, it is important to quantify the safety benefits, which is a fundamental for justifying application. This study proposed a methodology for quantifying the effectiveness of the advanced driver assistant system (ADAS), and applied the methodology to lane departure warning system (LDWS) and automatic emergency braking system (AEBS) which are typical advanced driver assistant systems. When the proposed methodology is applied to 2008-2010 gyeonggi-province crash data, LDWS would reduce about 10~14% of relevant crashes such as head-on, run-off-the road, rollover and fixed-object collisions on the road. In addition, AEBS could potentially prevent about 50% of total rear-end crashes. The outcomes of this study support decision making for developing not only vehicular technology but also relevant safety policies.

The Safety Evaluation Method of Advanced Emergency Braking System (자동긴급제동장치의 안전성 평가방법)

  • Jang, Hyunik;Cho, Seongwoo;Yong, Boojoong
    • Transactions of the Korean Society of Automotive Engineers
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    • v.21 no.5
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    • pp.162-168
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    • 2013
  • Recently, there have been efforts in many countries to reduce social expenses and casualties resulting due to car accidents. As such, ASS (active safety systems) are being researched and developed to prevent accidents and target mitigation. Among many useful active safety systems, it has been reported that commercial AEBS (Advanced Emergency Braking System) effectively prevents accidents and reduces casualties simultaneously. Accordingly, it is necessary to set Korean AEBS standards, and this research analyzes international AEBS standards for this necessity. In addition to the evaluation methodology of AEBS ECE Regulation, this study suggests traffic scenarios that occur frequently in domestic road environments, and provides an evaluation system for AEBS of the scenarios. Finally, the performance and safety of AEBS are evaluated through field test.

Realization of Logistics Safety Management System By Operating Advanced Vehicle Safety Management Device (첨단 차량 안전관리장치 운영을 통한 물류 안전관리시스템 구현)

  • Moon, Hoi-Kwon;Kang, Kyung-Sik
    • Journal of the Korea Safety Management & Science
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    • v.20 no.2
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    • pp.1-8
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    • 2018
  • This study aims to provide a real-time information to the driver by effectively operating the advanced safety device attached to the freight vehicle, thereby minimizing insecure behavior of the driver such as speeding, rapid acceleration, sudden braking, And improve driving habits to prevent accidents and save energy. Advanced safety equipment is a device that warns the driver that the vehicle leaves the driving lane regardless of the intention of the driver and reduces the risk of traffic accidents by mitigating or avoiding collision by detecting a frontal collision during driving.The main contents of this report are as follows: In case of installing a warning device on a lane departing vehicle (excluding a light vehicle) and a lorry or special vehicle with a total weight exceeding 3.5 tonnes, the driver must continue to operate unless the driver releases the function.In addition, when the automatic emergency braking system is installed, the structure should be such that the braking device is operated automatically after warning the driver when the risk of collision with the running or stopped vehicle in the same direction is detected in front of the driving lane.

A Study on the Necessity of Advanced Safety Systems in Driver Emergencies (운전자 응급상황에서의 첨단안전시스템 필요성 연구)

  • Byungdo Kang;Bonggyun Jo;Yunhwa Lee;Taehyeong Kim
    • Journal of Auto-vehicle Safety Association
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    • v.15 no.1
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    • pp.63-68
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    • 2023
  • A study on the need for a safety system using driver's biometric information, vehicle automatic emergency braking system, and the e-call system that in the event of an unexpected situation such as loss of driving ability due to sudden physical abnormality of elderly drivers and drivers with health problems, and the improvement of laws for the spread of this system were studied.

AEBS Algorithm with Tire-Road Friction Coefficient Estimation (타이어-노면 마찰계수 추정을 이용한 AEBS 알고리즘)

  • Han, Seungjae;Lee, Taeyoung;Yi, Kyongsu
    • Journal of Auto-vehicle Safety Association
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    • v.5 no.2
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    • pp.17-23
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    • 2013
  • This paper describes an algorithm for Advanced Emergency Braking(AEB) with tire-road friction coefficient estimation. The AEB is a system to avoid a collision or mitigate a collision impact by decelerating the car automatically when forward collision is imminent. Typical AEB system is operated by Time-to-collision(TTC), which considers only relative velocity and clearance from control vehicle to preceding vehicle. AEB operation by TTC has a limit that tire-road friction coefficient is not considered. In this paper, Tire-road friction coefficient is also considered to achieve more safe operation of AEB. Interacting Multiple Model method(IMM) is used for Tire-road friction coefficient estimation. The AEB algorithm consists of friction coefficient estimator and upper level controller and lower level controller. The numerical simulation has been conducted to demonstrate the control performance of the proposed AEB algorithm. The simulation study has been conducted with a closed-loop driver-controller-vehicle system using using MATLAB-Simulink software and CarSim Vehicle model.

Study About the Crash Safety of Occupants According to the Reclining Postures and Impact Angle under MPDB Test Types (차대차 충돌평가(MPDB)에서 충돌 각도 및 젖힘자세 특성 등에 따른 승객 상해 연구)

  • Jeongmin In;Jaehong Ma;Hyungjin Chang;Joonho Jun
    • Journal of Auto-vehicle Safety Association
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    • v.15 no.3
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    • pp.59-65
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    • 2023
  • As advanced driving assistance system (ADAS) and autonomous driving performance continue to improve, existing crash accidents and crash types are changing. Accordingly, the collision angle and the seating posture of the occupant are changed. It is necessary to study how the occupant injury mechanism changes according to these different crash types. In this regard, a representative crash test mode was derived when the automatic emergency braking system (AEB), one of the autonomous driving performance, was applied to the representative car-to-car crash scenario in Korea. The derived crash test mode was used to analyse the mechanisms of collision injuries according to both impact angle and the occupant seating posture (reclined seat-back angle). The results obtained through this study can be utilized as reference data for the development of new crash evaluation methods and improvements in crash restraint systems for enhancing crash safety.