• Title/Summary/Keyword: driving pattern

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Operation Pattern Control of High-brightness LED Warning Light (고휘도 LED경광등 동작 패턴 제어)

  • Lim, Sung-Moo;Shin, Kyung-HO;Song, Sang-Bin;Yeo, In-Seon
    • Proceedings of the KIEE Conference
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    • 2004.11a
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    • pp.261-263
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    • 2004
  • This paper studies the lighting pattern control of a high-brightness LED warning light. The driving circuit for the warning light is composed of a full-wave rectified circuit and of a control circuit using a micro-controller (AT89c2051). The micro-controller is programmed in a suitable manner to accomodate a number of variable lighting patterns and to adjust the blinking speed. To reduce the total number of LEDs installed a special consideration is made to the bundled pattern in a lamp module which is lit simultaneously. The resultant LED warning light has merits not only over the conventional incandescent warning light on the energy saving aspect but also over some other LED-type ones in the market.

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The Fatigue Analysis of Urban Bus Driver with Electromyography (EMG) Analysis (근전도 분석을 통한 시내버스 운전자 피로도 분석)

  • Kim, Jae-Jun;Kim, Kyung;Yu, Chang-Ho;Oh, Seung-Yong;Lee, Chan-Ki;Kim, Dong-Won;Hwang, Bong-Ha;Moon, Young-Ju;Jeong, Gu-Young;Kwon, Tae-Kyu
    • Journal of the Korean Society for Precision Engineering
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    • v.29 no.10
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    • pp.1149-1156
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    • 2012
  • In this study, we proposed the most efficient driving posture based on the analysis of quantitative muscular strength and fatigue degree according to posture. Since driving include complicated actions required by a variety of ability and cause by extremes concentration or strain, drivers tend to feel tired easily. However, drivers can't recognize the fatigue degree by themselves. Moreover, the method for measuring the quantitative fatigue degree exactly is quite difficult to be secured. 9 professional bus drivers were participated. We analyzed the quantitative legs' muscular strength when operating each pedal. And then we also analyzed the muscular strength and muscular fatigue degree according to driving pattern during bus driving. Therefore, we suggested the most efficient driving posture.

Emission Factor of Hazardous Air Pollutants in Gas-phase from Light Commersial Vehicle using PEMS on Real-road Driving (실도로 주행에서 PEMS를 이용한 소형 경유 상용차의 가스 상 유해대기오염물질 배출계수 연구)

  • Lim, Ji Hye;Han, Sang Woo;Kim, Jeong;Jang, Young Kee;Chon, Mun Soo;Hwang, Sung Chul;Kim, Joung Hwa;Jung, Sung Woon;Kim, Jeong Soo;Han, Jin Seok
    • Journal of Korean Society for Atmospheric Environment
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    • v.34 no.2
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    • pp.191-206
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    • 2018
  • In this study, the HAPs(Harzard Air Pollutants) emission factor level of Starex and Grand Carnival was tested using PEMS (Portable Emissions Measurement System) on real road driving. As a result of RDE (Real Driving Emission test), the overall vehicle speed pattern showed similar characteristics. The real-road driving test at constant speed revealed emission factor is inversely proportional relationship to constant speed. Results of accelerating with speed limit on the real-road were shown as followings; Uran (less than 45 km/h)>Rural (<45 km/h, less than 80 km/h)>Motorway (>80 km/h). Moreover, the sudden acceleration and deceleration in driving at high speed was the increasing factor to the HAPs emission factor. This tendency is considered to be influenced by the operating environment on real roads.

Driver Assistance System By the Image Based Behavior Pattern Recognition (영상기반 행동패턴 인식에 의한 운전자 보조시스템)

  • Kim, Sangwon;Kim, Jungkyu
    • Journal of the Institute of Electronics and Information Engineers
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    • v.51 no.12
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    • pp.123-129
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    • 2014
  • In accordance with the development of various convergence devices, cameras are being used in many types of the systems such as security system, driver assistance device and so on, and a lot of people are exposed to these system. Therefore the system should be able to recognize the human behavior and support some useful functions with the information that is obtained from detected human behavior. In this paper we use a machine learning approach based on 2D image and propose the human behavior pattern recognition methods. The proposed methods can provide valuable information to support some useful function to user based on the recognized human behavior. First proposed one is "phone call behavior" recognition. If a camera of the black box, which is focused on driver in a car, recognize phone call pose, it can give a warning to driver for safe driving. The second one is "looking ahead" recognition for driving safety where we propose the decision rule and method to decide whether the driver is looking ahead or not. This paper also shows usefulness of proposed recognition methods with some experiment results in real time.

A Road Environment Analysis for the Introduction of Connected and Automated Driving-based Mobility Services from an Operational Design Domain Perspective (자율주행기반 모빌리티 서비스 도입을 위한 운행설계영역 관점의 도로환경 분석)

  • Bo-Ram, WOO;Ah-Reum, KIM;Yong-Jun, AHN;Se-Hyun, TAK
    • Journal of the Korean Association of Geographic Information Studies
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    • v.25 no.4
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    • pp.107-118
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    • 2022
  • As connected and automated driving(CAD) technology is entering its commercialization stage, service platforms providing CAD-based mobility services have increased these days. However, CAD-baded mobility services with these platforms need more consideration for the demand for mobility services when determining target areas for CAD-based mobility services because current CAB-based mobility design focus on driving performance and driving stability. For a more efficient design of CAD-based mobility services, we analyzed the applicability for the introduction of CAD-based mobility services in terms of driving difficulty of CAD and demand patterns of current non-CAD based-mobility services, e.g., taxi, demand-responsive transit(DRT), and special transportation systems(STS). In addition, for the spatial analysis of the applicability of the CAD-based mobility service, we propose the Index for Autonomous Driving Applicability (IADA) and analyze the characteristics of the spatial distribution of IADA from the network perspective. The analysis results show that the applicability of CAD-based mobility services depends more on the demand patterns than the driving difficulty of CAV. In particular, the results show that the concentration pattern of demand in a specific road link is more important than the size of demand. As a result, STS service shows higher applicability compared to other mobility services, even though the size of demand for this mobility service is relatively small.

Development of ECO Driving Meter System for Diesel Locomotives (디젤기관차 연료사용량 측정장치 개발)

  • Park, Tae-Gi;Lee, Eul-Jae
    • Proceedings of the KSR Conference
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    • 2011.10a
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    • pp.2357-2364
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    • 2011
  • Diesel locomotive operates the generator with the power from the diesel engine, and it consists of the typical serial-hybrid system which operates the train wheels by converting its generated electric energy into the torque of DC (or AC) motor. However, the technology of locomotives is only focused on trains' controlling power generation mechanism. Hence, it is a current issue that the efficiency of its engine and its generator is relatively lower than that of auto vehicles'. Particularly, since there are no proper equipment to measure the amount of fuel which is essentially necessary for the efficient use of fuel, it is not easy to confirm the instant amount of fuel use as well as the exact average fuel consumption per an hour. Due to those difficulties, it is urgent to develop the device that measures the fuel consumption. Plus, this use of the developed measuring device allows the various and useful analysis relating to the fuel consumption, and this could lead to establishing the efficient driving pattern regarding to fuel saving. This device consists of two flux (fuel level) measuring censors, MCU for calculating the measured values, the information recorder for saving measured values, and the display device for indicating the fuel amount consumed during driving.

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Design of shift controller using learning algorithm in automatic transmission (학습 알고리듬을 이용한 자동변속기의 변속제어기 설계)

  • Jun, Yoon-Sik;Chang, Hyo-Whan
    • Transactions of the Korean Society of Mechanical Engineers A
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    • v.22 no.3
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    • pp.663-670
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    • 1998
  • Most of feedback shift controllers developed in the past have fixed control parameters tuned by experts using a trial and error method. Therefore, those controllers cannot satisfy the best control performance under various driving conditions. To improve the shift quality under various driving conditions, a new self-organizing controller(SOC) that has an optimal control performance through self-learning of driving conditions and driver's pattern is designed in this study. The proposed SOC algorithm for the shift controller uses simple descent method and has less calculation time than complex fuzzy relation, thus makes real-time control passible. PCSV (Pressure Control Solenoid Valve) control current is used as a control input, and turbine speed of the torque converter is used indirectly to monitor the transient torque as a feedback signal, which is more convenient to use and economic than the torque signal measured directoly by a torque sensor. The results of computer simulations show that an apparent reduction of shift-transient torque is obtained through the process of each run without initial fuzzy rules and a good control performance in the shift-transient torque is also obtained.

A Study on the Fuel Injection System Simulating a Vehicle Driven with FTP-75 Mode for Cold Transition Period (FTP-75 냉간 주행 모드로 운전하는 차량의 연료분사 모사시스템에 관한 연구)

  • Oh, Dae-San;Lee, Choong-Hoon
    • Journal of ILASS-Korea
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    • v.16 no.2
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    • pp.76-81
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    • 2011
  • A fuel injection system which is operated with a real vehicle driving simulation was developed as an alternative to a vehicle test for the fuel injectors. The sensor signals that are supplied to the ECU were measured and recorded as a data file for a vehicle driven in FTP-75 mode in a chassis dynamometer. The imperative sensor signals of the throttle position, vehicle speed, engine speed, crank position, cam position, intake air flow, and cooling water and intake air temperature were reconstructed using FPGA DAQ boards and a PXI computer. The scanning results showed good agreement with the input signals that were reconstructed. The ECU HILS system operated successfully to drive six fuel injectors, which injected fuel in the same pattern as if they were mounted in the vehicle driven in FTP-75 mode. Also, the fuel injection system developed in this research shows the possibility of application in evaluating the characteristics of fuel injection rate for injectors according to properties of injected fuel with the real driving mode of vehicles.

A Study of BRT System to Analyze Driving Skill (운전 숙련도 분석을 위한 BRT 시스템에 대한 연구)

  • Jeon, Jong-Oh;Park, Seong-Mo;Won, Yong-Gwan
    • Journal of the Institute of Electronics Engineers of Korea CI
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    • v.48 no.1
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    • pp.65-71
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    • 2011
  • In modem society, car are the most important transportation. Thereby, car accidents has been increasing steadily. The driver is the biggest factor of car accident. Therefor, various studies about driver (reaction time, mentality, physiological signal, age, pattern of drive) are underway. In this paper, we design a embedded system for measuring the reaction time by driving skill. The proposed system is composed of measuring brake module, OBD-2 scanner and bluetooth transmission module. Also, we implement GUI program to analyze experiment result and database to store results. Though our proposed system, we can analyze driving skill.

Influence of Driving Pattern on Regeneration Performance of Continuously Regenerating Diesel Particulate Filter (연속재생 DPF의 재생 성능에 미치는 차량 운행패턴의 영향)

  • Hwang, Jin-Woo;Lee, Chang-Sik
    • Transactions of the Korean Society of Mechanical Engineers B
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    • v.33 no.5
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    • pp.358-364
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    • 2009
  • This paper is to investigate the influence of driving patterns of slow and high speed vehicles on the performance of continuously regenerating diesel particulate filter(DPF) system matched with operating conditions in field application. The DPF performance test for field application was carried out for two identical DPFs installed to slow and high speed vehicles. A slow speed vehicle was selected among local buses which have driving patterns to repeat running and stop frequently, while a high speed vehicle was prepared to have long route of high speed over 60km/h like inter-city buses. In this test, the regeneration performance on the DPF of slow speed vehicle deteriorated because of high soot load index(SLI) in spite of same balance point temperature(BPT) distribution for high speed vehicle. The DPF of slow speed vehicle melted in the end because the rapid increase of back pressure caused high temperature over $1200^{\circ}C$ in the ceramic wall of DPF. The PM components like ash collected to the filter in the DPF were analyzed in order to investigate the cause of the defect and provide an operation performance of DPF system. In the result of the analysis, high levels of lubrication oil ash(Ca, Mg, P, Zn) were detected.