• Title/Summary/Keyword: driving behavior

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A study on the system improvement of the electric vehicle driving licence according to AHP analysis (AHP 분석에 따른 제2종 전기차량 운전면허 제도 개선 방안 연구)

  • Han, Kee Youl;Kim, Hyung Jun
    • Journal of The Korean Society For Urban Railway
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    • v.6 no.4
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    • pp.401-410
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    • 2018
  • Human error of the engineer are constantly occurring by insufficiency of scientific analysis considering the behavior of railway engagements and actual working conditions and lack of research for accidents. This study investigated how to improve the system through AHP and FGI analysis of interviews and questionnaires for electric vehicles driving licenses, which cultivates the most train drivers.

Autonomous-Driving Vehicle Learning Environments using Unity Real-time Engine and End-to-End CNN Approach (유니티 실시간 엔진과 End-to-End CNN 접근법을 이용한 자율주행차 학습환경)

  • Hossain, Sabir;Lee, Deok-Jin
    • The Journal of Korea Robotics Society
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    • v.14 no.2
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    • pp.122-130
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    • 2019
  • Collecting a rich but meaningful training data plays a key role in machine learning and deep learning researches for a self-driving vehicle. This paper introduces a detailed overview of existing open-source simulators which could be used for training self-driving vehicles. After reviewing the simulators, we propose a new effective approach to make a synthetic autonomous vehicle simulation platform suitable for learning and training artificial intelligence algorithms. Specially, we develop a synthetic simulator with various realistic situations and weather conditions which make the autonomous shuttle to learn more realistic situations and handle some unexpected events. The virtual environment is the mimics of the activity of a genuine shuttle vehicle on a physical world. Instead of doing the whole experiment of training in the real physical world, scenarios in 3D virtual worlds are made to calculate the parameters and training the model. From the simulator, the user can obtain data for the various situation and utilize it for the training purpose. Flexible options are available to choose sensors, monitor the output and implement any autonomous driving algorithm. Finally, we verify the effectiveness of the developed simulator by implementing an end-to-end CNN algorithm for training a self-driving shuttle.

Estimation Desirable Safety Speed based on Driving Condition on Rural Highways (도로환경특성을 고려한 안전속도 산정에 관한 연구)

  • Kim, Keun-Hyuk;Lim, Joon-Beom;Lee, Soo-Beom;Kang, Dong-Soo;Hong, Ji-Yeon
    • International Journal of Highway Engineering
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    • v.14 no.4
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    • pp.149-162
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    • 2012
  • PURPOSES : The causes of traffic accidents can be classified into the factors of highway users, vehicles, and driving environments. Traffic accidents result from the deficiency in single or combination of these three factors. The objective of this study is to define the "potentially hazardous sections of highway" in terms of traffic safety considering these three factors. METHODS : The test drivers performed repeated driving on these highway sections. The drivers and passengers recorded the sections on which the driving was uncomfortable, and the speeds on the sections excluding the uncomfortable sections were used for the development of the model. RESULTS : The model is composed of three sub-models for each of the horizontal curve, tangent, and the section where the curve starts/ends. The safe driving behavior coefficients by the horizontal curvature were derived by comparing the maximum operating speeds at which the vehicle may slide or deviate and the speeds at which the drivers feel comfort. The safety speeds on tangent were derived by the length of tangent section considering the driver's desired speeds under the traffic condition on which the drivers hardly influenced by the other vehicles. For the sections where the curve starts/ends, the driving behaviors were classified by the distances between the curves, and the safe acceleration/deceleration speeds were derived on which the drivers enter/exit the curve sections safely. CONCLUSIONS : Safety speed could then be regarded that the model suggested in this study may be useful to define the potentially hazardous highway section and contribute the improvement of highway safety.

Driving Behavior Characteristics under Red Right Camera Enforcement at Signalized Intersections (신호교차로에서 무인교통단속 규제에 따른 주행 특성)

  • Han, Myungjoo;Lee, Soongbong;Kim, Hyeweon;Lee, YoungIhn;Kim, Sangok
    • International Journal of Highway Engineering
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    • v.18 no.5
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    • pp.63-73
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    • 2016
  • PURPOSES : The objective of this study was to analyze variations in the vehicle driving behavior characteristics on signalized intersections according to the use of traffic enforcement camera (red light camera). METHODS : In order to analyze the driving behavior characteristics on signalized intersections when red light camera are installed, the target sites for investigation were selected depending on whether the red light camera is installed and accident rates increased after the installation. In particular, to analyze the characteristics of dilemma zones in signalized intersections, approach speed and deceleration speed of 3 type vehicles (passing vehicles during a yellow light, stopping at a yellow light, passing vehicles during a green light) were examined. Based on these data, the starting point, ending point, and distance of the dilemma zones were calculated. Also, the locations of increased traffic accidents and decreased accidents after the installation of the equipment were distinguished when analyzing the traffic accident characteristics. RESULTS : Analysis results revealed that there was a tendency for the dilemma zone distance to decrease after the installation of equipment(red light camera) in most sites. This tendency was found to be due to the decrease in the approaching speed of vehicles at intersections after the installation of equipment, resulting in the starting and ending points of dilemma zone to become closer to the stop line. Moreover, analysis showed that the number of traffic accidents decreased for most intersections after the installation of equipment and safety of the intersections increased somewhat. CONCLUSIONS : In general, installation of equipment(red light camera) caused the intersections approaching speed and dilemma zone distance to decrease. Decision-making is difficult for drivers in the dilemma zone, so the decrease in the dilemma zone distance implies an improvement in traffic safety. Furthermore, the number of accidents within intersections significantly decreased after the equipment was installed, leading to the conclusion that installation of the equipment affected the decrease in traffic accidents.

Analysis of the behavior of gray rockfish (Sebastes schlegelii Hilgendorf) on the construction of wind power generators in the sea area around Byeonsan Peninsula, Korea (변산반도 주변해역에서 풍력발전기 건설공사에 대한 조피볼락(Sebastes schlegelii Hilgendorf )의 행동분석)

  • HEO, Gyeom;HWANG, Doo-Jin;MIN, Eun-Bi;OH, Sung-Yong;PARK, Jin Woo;SHIN, Hyeon-Ok
    • Journal of the Korean Society of Fisheries and Ocean Technology
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    • v.55 no.2
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    • pp.129-137
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    • 2019
  • This study was conducted to investigate the effects of underwater noise caused by pile driving during marine construction on fish. In this study, the three gray rockfish were released about 1 km away from the construction site of wind power generation on July 18, 2018 and traced using two acoustic telemetry techniques. The behavior of the fish was analyzed by calculating the moving distance, swimming speed and direction of the gray rockfish. In the results of the acoustic tracking using the ship, the rockfish moved about 2.11 km for about two hours at a speed of $0.28{\pm}0.14m/s$ (0.94 TL/s). The bottom depth of the trajectory of the rockfish was $1.0{\pm}0.6m$ on average. There was a significant directionality in swimming direction of the gray rockfish, and there was no significant correlation between the swimming direction and tidal current direction. Moving distance during 5 minutes (5MD) during pile driving and finishing operations between rock surface and bedrock were 0.94-0.96 times (76.0-77.0 m) and 1.81-2.73 times (146.0-219.5 m), respectively, compared with no pile driving. This study is expected to be used as a basic data of fish behavior research on underwater noise.

Fuzzy Logic Based Auto Navigation System Using Dual Rule Evaluation Structure for Improving Driving Ability of a Mobile Robot (모바일 로봇의 주행 능력 향상을 위한 이중 룰 평가 구조의 퍼지 기반 자율 주행 알고리즘)

  • Park, Kiwon
    • Journal of Korea Multimedia Society
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    • v.18 no.3
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    • pp.387-400
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    • 2015
  • A fuzzy logic based mobile robot navigation system was developed to improve the driving ability without trapping inside obstacles in complex terrains, which is one of the most concerns in robot navigation in unknown terrains. The navigation system utilizes the data from ultrasonic sensors to recognize the distances from obstacles and the position information from a GPS sensor. The fuzzy navigation system has two groups of behavior rules, and the robot chooses one of them based on the information from sensors while navigating for the targets. In plain terrains the robot with the proposed algorithm uses one rule group consisting of behavior rules for avoiding obstacle, target steering, and following edge of obstacle. Once trap is detected the robot uses the other rule group consisting of behavior rules strengthened for following edge of obstacle. The output signals from navigation system control the speed of two wheels of the robot through the fuzzy logic data process. The test was conducted in the Matlab based mobile robot simulator developed in this study, and the results show that escaping ability from obstacle is improved.

Analysis of Wall-charge behavior using V-Q Lissajous' figure in AC-PDP driving (AC-PDP 구동에 있어서 V-Q Lissajous' Figure을 이용한 벽전하 거동분석)

  • Chung, Jong-Kab;Cho, Woo-Sung;Choi, Chang-Hun;Ju, Byeong-Keon;Park, Sun-Woo;Kim, Chul-Ju;Rho, Seung-Ryong;Kim, Young-Cho
    • Proceedings of the Korean Institute of Electrical and Electronic Material Engineers Conference
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    • 2002.11a
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    • pp.111-115
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    • 2002
  • To understand the discharge characteristics in AC-PDP, it is necessary to study on the wall charge behavior. But, it is difficult to measure the wall charge directly. In this paper, the V-Q Lissajous' figure is used to measure the wall charge indirectly and analyze the wall charge behavior. With the V-Q Lissajous' figure, the discharge characteristics of AC-PDP are studied according to vary driving conditions, such as the frequency, pulse duty ratio, and rising & falling time. As a result, the V-Q Lissajous' figure is used to measure the discharge characteristics of the AC-PDP. It is confirmed that firing initial voltage and firing final voltage for discharge are effected by the aboved variables. Related with the wall voltage generation, it is thought that the difference of the slope at the V-Q Lissajous' figure is caused by charged ions inside the dielectric layer.

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CRITICAL DRIVING FORCE FOR CONTRACTOR'S OPPORTUNISTIC BIDDING BEHAVIOR IN PUBLIC WORKS

  • Min-Ren Yan ;Wei Lo ;Chien-Liang Lin
    • International conference on construction engineering and project management
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    • 2005.10a
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    • pp.417-423
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    • 2005
  • Contractor's opportunistic bidding behavior refers to contractor's deliberate low-bid, which cannot accord with the cost, and expectation for beyond-contractual reward (BCR), the compensation earned through cutting corners or claims after undertaking the construction project. This research applies System Dynamics to develop a model of contractor's pricing with consideration for dimensions of "cost", "market competition", and "BCR". Iterative computer simulations were performed to analyze the effects of contractor's pricing on the market price. The results were then examined by statistical analysis on data collected from 44 highway projects in Taiwan. It is found that the critical force driving the contractors to bid opportunistically is their excessive expectations in BCR under the current environment. Within the price competition mechanism, if the problem of BCR exists, even if the bidding system is further improved, contractors would still prefer opportunistic bidding behavior, and eventually make the whole construction industry operate ineffectively. Therefore, it is crucial to remedy the aforementioned BCR problem by more effective management policy.

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Impacts of Automated Vehicle Platoons on Car-following Behavior of Manually-Driven Vehicles (군집주행 환경이 비자율차량의 차량 추종에 미치는 영향분석)

  • Suh, Sanghyuk;Lee, Seolyoung;Oh, Cheol;Choi, Saerona
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.16 no.4
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    • pp.107-121
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    • 2017
  • This study conducted a 3-stage survey and simulation experiment to identify the impact of vehicle platoons on car-following behavior of manually-driven vehicles. Vehicle maneuvering data obtained from driving simulations was statistically analyzed based on three measures including average speed, acceleration noise, and offset to represent the deviation of lateral movements. Results indicate that MV drivers tended to have psychological burden while driving in automated vehicle platooning environments, which resulted in different vehicle maneuvers. It is expected that the outcome of this study would be useful fundamentals in developing various traffic operations strategies for managing mixed traffic stream consisting of MVs and autonomous vehicles.