• Title/Summary/Keyword: Vehicle Driving

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HUMAN-CENTERED DESIGN OF A STOP-AND-GO VEHICLE CRUISE CONTROL

  • Gu, J.S.;Yi, S.;Yi, K.
    • International Journal of Automotive Technology
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    • v.7 no.5
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    • pp.619-624
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    • 2006
  • This paper presents design of a vehicle stop-and-go cruise control strategy based on analyzed results of the manual driving data. Human drivers driving characteristics have been investigated using vehicle driving data obtained from 100 participants on low speed urban traffic ways. The control algorithm has been designed to incorporate the driving characteristics of the human drivers and to achieve natural vehicle behavior of the controlled vehicle that would feel comfortable to the human driver under low speed stop-and-go driving conditions. Vehicle following characteristics of the cruise controlled vehicle have been investigated using a validated vehicle simulator and real driving radar sensor data.

A Vehicle Stop-and-Go Control Strategy based on Human Drivers Driving Characteristics

  • Yi Kyongsu;Han Donghoon
    • Journal of Mechanical Science and Technology
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    • v.19 no.4
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    • pp.993-1000
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    • 2005
  • A vehicle cruise control strategy designed based on human drivers driving characteristics has been investigated. Human drivers driving patterns have been investigated using vehicle driving test data obtained from 125 participants. The control algorithm has been designed to incorporate the driving characteristics of the human drivers and to achieve natural vehicle behavior of the controlled vehicle that would feel comfortable to the human driver. Vehicle following charac­teristics of the cruise controlled vehicle have been investigated using real-world vehicle driving test data and a validated simulation package.

Effect of the Power Steering System Driving Torque on Vehicle Fuel Economy in a Passenger Car (Power Steering System의 구동력이 차량 모드주행연비에 미치는 영향)

  • Kim Namkyun;Han Changho;Kim Wooseok;Lee Jonghwa;Park Jinil;Park Kyungseok
    • Transactions of the Korean Society of Automotive Engineers
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    • v.14 no.1
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    • pp.60-67
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    • 2006
  • To improve the vehicle fuel economy, various technologies have been studied. Meanwhile it deteriorates fuel economy that the increased driving torque for Power Steering System (PSS) due to weighted vehicle and widened tire for low speed driving and parking. So the larger driving torque for PSS is, the lower fuel economy is. Therefore, the study about the effect of the driving torque for PSS and the engine total friction must be preceded to improve the vehicle fuel economy. In this study, a PSS module separated from the vehicle is used to measure the driving torque for PSS with respect to the pressure of PSS. The result shows that the driving torque for PSS was in direct proportion to the pressure of PSS 3 (N-m) driving torque for PSS vs. 10 (bar) pressure of PSS, and 8 (N-m) vs. 40 (bar). In addition, the driving torque and pressure for PSS was measured according to the engine speed in the component test condition which was in the vehicle condition. Measuring the driving torque for PSP in the vehicle condition was established by using the VeFAS which was a fuel economy analyzer developed in our lab and installing PSS By-pass line. The effect of the driving torque for PSS on the vehicle fuel economy was analyzed with FTP-75 cold start mode.

Development of a Numerical Algorithm for the Evaluation of Aerodynamic Driving Stability of a Vehicle (주행차량의 공기역학적 주행안전성 평가를 위한 알고리즘 개발연구)

  • Kim, Chul-Ho;Kim, Chang-Sun;Lee, Seung-Hyun
    • Transactions of the Korean Society of Automotive Engineers
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    • v.24 no.3
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    • pp.265-272
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    • 2016
  • The objective of vehicle aerodynamic design is on the fuel economy, reduction of the harmful emission, minimizing the vibration and noise and the driving stability of the vehicle. Especially for a sedan, the driving stability of the vehicle is the main concern of the aerodynamic design of the vehicle indeed. In this theoretical study, an evaluation algorithm of aerodynamic driving stability of a vehicle was made to estimate the dynamic stability of a vehicle at the given driving condition on a road. For the stability evaluation of a driving vehicle, CFD simulation was conducted to have the rolling, pitching and yawing moments of a model vehicle and compared the values of the moments to the resistance moments. From the case study, it is found that a model sedan running at 100 km/h in speed on a straight level road is stable under the side wind with 45 m/s in speed. But the different results may be obtained on the buses and trucks because those vehicles have the wide side area. From the case study of the model vehicle moving on 100 km/h speed with 15 m/s side wind is evaluated using the numerical algorithm drawn from the study, the value of yawing moment is $608.6N{\cdot}m$, rolling moment $-641N{\cdot}m$ and pitching moment $3.9N{\cdot}m$. These values are smaller than each value of rotational resistance moment the model vehicle has, and therefore, the model vehicle's driving stability is guaranteed when driving 100 km/h with 15 m/s side wind.

Fundamental Study on Effect of Preceding Vehicle Information on Fuel Consumption Reduction of a Vehicle Group

  • Matsumoto, Shuichi;Kawashima, Hironao
    • Journal of Communications and Networks
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    • v.15 no.2
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    • pp.173-178
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    • 2013
  • It is a concern that eco-driving vehicles, because their driving behavior differs from other vehicles due to e.g. e-start, may inhibit smooth traffic flow. Therefore, it is necessary to study the cooperative eco-driving done by a vehicle group, putting "vehicle-to-vehicle communication" and "road-to-vehicle communication" into perspective. Based on these factors, this study aimed to: 1) Analyze fuel consumption rates and driving behaviors of more than one vehicle following an Eco-Driving vehicle. 2) Examine the effect of information on the fuel consumption rate of the preceding vehicles on the following vehicles. As a result, the following findings were obtained: 1) By providing information to multiple following vehicles, the fuel consumption rate of the second vehicle was not lowered, while that of the third one was. 2) It is possible that, when information on fuel consumption of a preceding vehicle is provided to the following one, an inter-vehicular distance is shortened during deceleration to contribute to smooth traffic flow. From the above results, it is suggested that, when targeting a vehicle group, sharing the information on preceding vehicles is effective.

Vehicle-Driving-Load-Adaptive Control of Intelligent Vehicle (차량 주행부하 추정기법을 이용한 지능화 차량의 적응제어)

  • Lee, Se-Jin;Yi, Kyong-Su
    • Proceedings of the KSME Conference
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    • 2000.11a
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    • pp.653-658
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    • 2000
  • A driving load estimation method for intelligent cruise control(ICC) vehicles has been proposed in this paper. The driving load is one of the most important factors of perturbations in vehicle control and can affect the control performance critically. The Effect of the control with driving load estimation on vehicle-to-vehicle distance control has been presented and investigated via computer simulations and vehicle tests. The results show that the control with driving load estimation can provide ICC system with a good acceleration tracking performance. In addition, the results show that driving load estimation can compensate not only variation of driving load but also the modeling errors.

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Driver Adaptive Control Algorithm for Intelligent Vehicle (운전자 주행 특성 파라미터를 고려한 지능화 차량의 적응 제어)

  • Min, Suk-Ki;Yi, Kyong-Su
    • Transactions of the Korean Society of Mechanical Engineers A
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    • v.27 no.7
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    • pp.1146-1151
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    • 2003
  • In this paper, results of an analysis of driving behavior characteristics and a driver-adaptive control algorithm for adaptive cruise control systems have been described. The analysis has been performed based on real-world driving data. The vehicle longitudinal control algorithm developed in our previous research has been extended based on the analysis to incorporate the driving characteristics of the human drivers into the control algorithm and to achieve natural vehicle behavior of the adaptive cruise controlled vehicle that would feel comfortable to the human driver. A driving characteristic parameters estimation algorithm has been developed. The driving characteristics parameters of a human driver have been estimated during manual driving using the recursive least-square algorithm and then the estimated ones have been used in the controller adaptation. The vehicle following characteristics of the adaptive cruise control vehicles with and without the driving behavior parameter estimation algorithm have been compared to those of the manual driving. It has been shown that the vehicle following behavior of the controlled vehicle with the adaptive control algorithm is quite close to that of the human controlled vehicles. Therefore, it can be expected that the more natural and more comfortable vehicle behavior would be achieved by the use of the driver adaptive cruise control algorithm.

Development of Vehicle Environment for Real-time Driving Behavior Monitoring System (실시간 운전 특성 모니터링 시스템을 위한 차량 환경 개발)

  • Kim, Man-Ho;Son, Joon-Woo;Lee, Yong-Tae;Shin, Sung-Heon
    • Journal of the Ergonomics Society of Korea
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    • v.29 no.1
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    • pp.17-24
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    • 2010
  • There has been recent interest in intelligent vehicle technologies, such as advanced driver assistance systems (ADASs) or in-vehicle information systems (IVISs) that offer a significant enhancement of safety and convenience to drivers and passengers. However, unsuitable design of HMI (Human Machine Interface) must increase driver distraction and workload, which in turn increase the chance of traffic accidents. Distraction in particular often occurs under a heavy driving workload due to multitasking with various electronic devices like a cell phone or a navigation system while driving. According to the 2005 road traffic accidents in Korea report published by the ROad Traffic Authority (ROTA), more than 60% of the traffic accidents are related to driver error caused by distraction. This paper suggests the structure of vehicle environment for real-time driving behavior monitoring system while driving which is can be used the driver workload management systems (DWMS). On-road experiment results showed the feasibility of the suggested vehicle environment for driving behavior monitoring system.

A Vehicle Adaptive Cruise Control Design in Consideration of Human Driving Characteristics (운전자 주행 특성을 고려한 차량 적응 순항 제어기 설계)

  • Gu, Ja-Sung;Yi, Kyong-Su
    • Transactions of the Korean Society of Automotive Engineers
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    • v.14 no.2
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    • pp.32-38
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    • 2006
  • A vehicle adaptive cruise control strategy based on human drivers' driving characteristics has been investigated. Human drivers driving characteristics have been analyzed using vehicle test data obtained from 125 participants. The control algorithm has been designed to incorporate the driving characteristics of the human drivers and to achieve natural vehicle behavior of the controlled vehicle that would reduce the workload of the human driver. Vehicle following characteristics of the cruise controlled vehicle have been compared to real-world driving radar sensor data of human drivers using a validated vehicle simulator. and compare nominal cruise control and adaptive cruise control.

Design Characteristics on Electric Drivetrain for Electric Vehicle Based on Driving Performance

  • Park, Ji-Seong;Jung, Sang-Yong
    • Journal of IKEEE
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    • v.13 no.3
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    • pp.47-54
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    • 2009
  • Design consideration on electric drivetrain(E-D/T), usually referred as electric motor for driving, its compatible reduction gear, and inverter, are performed for developing electric vehicle(EV) with efficient driving performance. Universal mode of driving cycle has been used to make up the actual vehicle performance, and its results are incorporated to the design of E-D/T.

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