• Title/Summary/Keyword: driving speed

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Estimation of Vehicle Traveling Speed Using Moving Image (동영상을 이용한 주행차량속도 산정)

  • 이종출;장호식;강상민;박규열
    • Proceedings of the Korean Society of Surveying, Geodesy, Photogrammetry, and Cartography Conference
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    • 2003.10a
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    • pp.187-192
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    • 2003
  • of the road would be a key index judged for a safety at the vehicle driving on the road. In Korea, as seen through a lot of documents, the vehicle driving speed is much faster compared with the design speed. The vehicle driving speed is an important element to get to know the vehicle driving characteristics. However, it is not easy to obtain the vehicle driving speed relating to vehicles' consecutive movements just merely through the presently used methods of vehicle driving speed. In consequence, this study has conducted photographing vehicle movements by use of digital moving images. Based on digital moving Images pictured, we have obtained a certain time interval frame and extracted out vehicles' coordinates and calculated vehicle speed from the firstly rectified image and the secondly rectified image. We could obtain comparatively exact results in the calculation of vehicle driving speed as errors of about 4%, as a result of comparison and verification of vehicle speed calculated from the digital moving images and the speed obtained from DGPS.

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A Study on Driver Perception-Reaction Time in High-Speed Driving Situations (고속주행상황의 운전자 인지·반응시간에 관한 연구)

  • Choi, Jaisung;Jeong, Seungwon;Kim, Jeongmin;Kim, Taeho;Shin, Joonsoo
    • International Journal of Highway Engineering
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    • v.19 no.1
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    • pp.107-119
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    • 2017
  • PURPOSES : The desire of drivers to increase their driving speeds is increasing in response to the technological advancements in vehicles and roads. Therefore, studies are being conducted to increase the maximum design speed in Korea to 140 km/h. The stopping sight distance (SSD) is an important criterion for acquiring sustained road safety in road design. Moreover, although the perception-reaction time (PRT) is a critical variable in the calculation of the SSD, there are not many current studies on PRT. Prior to increasing the design speed, it is necessary to confirm whether the domestic PRT standard (2.5 s) is applicable to high-speed driving. Thus, in this study, we have investigated the influence of high-speed driving on PRT. METHODS : A driving simulator was used to record the PRT of drivers. A virtual driving map was composed using UC-Win/Road software. Experiments were carried out at speeds of 100, 120, and 140 km/h while assuming the following three driving scenarios according to driver expectation: Expected, Unexpected, and Surprised. Lastly, we analyzed the gaze position of the driver as they drove in the simulated environment using Smarteye. RESULTS : Driving simulator experimental results showed that the PRT of drivers decreased as driving speed increased from 100 km/h to 140 km/h. Furthermore, the gaze position analysis results demonstrated that the decrease in PRT of drivers as the driving speed increased was directly related to their level of concentration. CONCLUSIONS : In the experimental results, 85% of drivers responded within 2.0 s at a driving speed of 140 km/h. Thus, the results obtained here verify that the current domestic standard of 2.5 s can be applied in the highways designated to have 140 km/h maximum speed.

High-speed Trains Driving Functions Analysis Using Systems Engineering

  • Noh, Hee-Min
    • International Journal of Railway
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    • v.3 no.3
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    • pp.90-94
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    • 2010
  • In this paper, driving functions of the Korea High-speed Trains were decomposed based on systems engineering architecture. In order to analyze the driving function, various systems engineering tools and methods were used. Moreover, interfaces of decomposed driving functions were analyzed to figure out purposes of the driving functions. Through activity modeling of driving function of the Korea High-Speed Trains, main functions were derived when starting, speeding and stopping. When the high speed train is speeding, pre-departure checks and wheel slide prevention are essential driving activities for the safety and when the high speed train runs high speed, maintaining driving stability by monitoring bogie hunting and monitoring drivers' safe operation by vigilance systems is important. Furthermore, when the train is braking, the driver should checks brake and suspensions as safety actions.

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The Characteristics of Driving Behavior and Eye-Movement According to Driving Speed and Navigation-Position while Operation of the Navigation in Driving (주행 중 네비게이션 조작 상황에서 주행속도와 네비게이션 위치에 따른 운전행동 및 안구운동 특성)

  • Hong, Seung-Hee;Kang, Jin-Kyu;Kim, Bo-Seong;Min, Cheol-Kee;Chung, Soon-Cheol;Doi, Shun'ich;Min, Byung-Chan
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.34 no.4
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    • pp.35-41
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    • 2011
  • The purpose of this study was to examine drivers' driving behaviors and eye-movements according to driving speed and navigation- position while operation of the navigation in driving. For this purpose, two driving conditions (low-speed and high-speed) and two navigation-positions (top and bottom location of the center console) were set. Drivers' driving behaviors (speed, speed variation, coefficient of variation, and the number of collisions) and eye-movements (overall eye pattern, the average scanning time of navigation, and the number of gaze-out on the road for more 2 seconds) were measured. As a result, when the navigation was located at the bottom of the console, difficulties of lateral control was appeared in low-speed driving condition, and the that of longitudinal control was appeared in high-speed driving condition. In addition, above situation made the drivers' scanning times of navigation long, increased the number of gaze-out on the road for more 2 seconds, and made overall eye pattern monotonous. These results could be interpreted that the manipulation of the navigation at the bottom of console cause reduced attention capacity due to the cognitive load.

A Study on the Compensation of the Difference of Driving Behavior between the Driving Vehicle and Driving Simulator (가상주행과 실차주행의 운전자 주행행태 차이에 관한 연구)

  • Park, Jinho;Lim, Joonbeom;Joo, Sungkab;Lee, Soobeom
    • International Journal of Highway Engineering
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    • v.17 no.2
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    • pp.107-122
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    • 2015
  • PURPOSES : The use of virtual driving tests to determine actual road driving behavior is increasing. However, the results indicate a gap between real and virtual driving under same road conditions road based on ergonomic factors, such as anxiety and speed. In the future, the use of virtual driving tests is expected to increase. For this reason, the purpose of this study is to analyze the gap between real and virtual driving on same road conditions and to use a calibration formula to allow for higher reliability of virtual driving tests. METHODS : An intelligent driving recorder was used to capture real driving. A driving simulator was used to record virtual driving. Additionally, a virtual driving map was made with the UC-Win/Road software. We gathered data including geometric structure information, driving information, driver information, and road operation information for real driving and virtual driving on the same road conditions. In this study we investigated a range of gaps, driving speeds, and lateral positions, and introduced a calibration formula to the virtual record to achieve the same record as the real driving situation by applying the effects of the main causes of discrepancy between the two (driving speed and lateral position) using a linear regression model. RESULTS: In the virtual driving test, driving speed and lateral position were determined to be higher and bigger than in the real Driving test, respectively. Additionally, the virtual driving test reduces the concentration, anxiety, and reality when compared to the real driving test. The formula includes four variables to produce the calibration: tangent driving speed, curve driving speed, tangent lateral position, and curve lateral position. However, the tangent lateral position was excluded because it was not statistically significant. CONCLUSIONS: The results of analyzing the formula from MPB (mean prediction bias), MAD (mean absolute deviation) is after applying the formula to the virtual driving test, similar to the real driving test so that the formula works. Because this study was conducted on a national, two-way road, the road speed limit was 80 km/h, and the lane width was 3.0-3.5 m. It works in the same condition road restrictively.

Effects on the Vehicle Running Speed Analysis according to the Speed Reduction Road Facilities (속도저감형 시설이 차량 주행 속도에 미치는 영향 분석)

  • Kang, Soochul;Yoo, Soonduck;Cho, Gyucheol
    • Journal of the Korean Society of Safety
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    • v.31 no.5
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    • pp.158-170
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    • 2016
  • It has been applied several ways in order to prevent traffic accidents and speed management on the road which is one of very important factors to prevent accidents. In this study, it is analyzed whether the facility such as the flashing and crosswalk, speed cameras and intermittent warning signs affect on a driving deceleration or not. It has been shown that the flashing and crosswalk and speed cameras except intermittent warning signs play a role of reducing the driving speed. The result showed that these traffic safety facilities help to improve the average speed as well as velocity distribution which was derived by the speed deviation even if there were the difference between facilities. Speed limit display does not affect the deceleration of the driver. Therefore, it was founded in this research that there were the driving speed reduction effect due to the facilities on the road. In order to control the driving speed on the road, it is necessary to install facilities with appropriate location and spacing on the road. In addition, place that turns out suppressed speeding through speed management also are required adequate facilities such as speed cameras.

A Study on Appropriate Driving Speed for High-Speed Trains Running the Conventional Line (기존선을 통과하는 고속차량의 적절한 주행속도에 관한 연구)

  • Ham, Young Sam
    • Journal of the Korean Society for Precision Engineering
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    • v.31 no.9
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    • pp.773-776
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    • 2014
  • KTX (Korea Train eXpress) is the first high-speed train operated in Korea and its highest speed reaches 300 km/h. Korean high-speed trains are mostly operated on the railroads exclusively designed for high-speed trains, but the sections of Seoul~Gwangmyeong, nearby of Daejeon station and Dongdaegu are operated on the existing tracks having the speed less than 150 km/h. With this paper, we'd like to analyze the lateral force that occurs between the wheels and the rail when high-speed trains were operated on the existing track section to suggest an appropriate driving speed for high-speed trains. As the rigid wheel base of the high-speed train is 3m which is about 50% longer than normal vehicles, it works as an advantage for high-speed driving. However, as the lateral force becomes higher than normal vehicles when driving on curves, plans to reduce wear-outs on the wheels are required.

EXPERIMENTAL ANALYSIS OF DRIVING PATTERNS AND FUEL ECONOMY FOR PASSENGER CARS IN SEOUL

  • Sa, J.-S.;Chung, N.-H.;Sunwoo, M.-H.
    • International Journal of Automotive Technology
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    • v.4 no.2
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    • pp.101-108
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    • 2003
  • There are a lot of factors that influence automotive fuel economy such as average trip time per kilometer, average trip speed, the number of times of vehicle stationary, and so forth. These factors depend on road conditions and traffic environment. In this study, various driving data were measured and recorded during road tests in Seoul. The accumulated road test mileage is around 1,300 kilometers. The objective of the study is to identify the driving patterns of the Seoul metropolitan area and to analyze the fuel economy based on these driving patterns. The driving data which was acquired through road tests was analysed statistically in order to obtain the driving characteristics via modal analysis, speed analysis, and speed-acceleration analysis. Moreover, the driving data was analyzed by multivariate statistical techniques including correlation analysis, principal component analysis, and multiple linear regression analysis in order to obtain the relationships between influencing factors on fuel economy. The analyzed results show that the average speed is around 29.2 km/h, and the average fuel economy is 10.23 km/L. The vehicle speed of the Seoul metropolitan area is slower, and the stop-and-go operation is more frequent than FTP-75 test mode which is used for emission and fuel economy tests. The average trip time per kilometer is one of the most important factors in fuel consumption, and the increase of the average speed is desirable for reducing emissions and fuel consumption.

Effects of Music Tempo on Young Drivers' Driving Speed (청소년 운전자의 운전중 음악청취가 운전속도에 미치는 영향)

  • Juseok Oh;Yongkyun Shin;Soonchul Lee
    • Korean Journal of Culture and Social Issue
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    • v.12 no.1
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    • pp.35-54
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    • 2006
  • This study analysed the effect of music tempo on young drivers' driving speed. 23 male college students under age 26 were randomly assigned to one of three music conditions as follows; No Music, Slow Music and Fast Music. Every subject's travel time(sec) and driving speed(Km/h) was recorded while they were driving a computer-based driving simulator. As the results of this study, we found that 1) the fast music group's mean of travel time was the shortest and also, 2) their mean of driving speed was the fastest. The effect of music tempo on driving speed can be explained as a biological mechanism, same as the effect on our heart-beat rate or intensity of physical exercising. This result shows us that listening musics while driving can affect the driving speed instead of the driver's physical condition.

Modeling and Analysis of the Speed Profiles for the Gasoline Hybrid Vehicle in the Real Driving Emission Test (가솔린 하이브리드 차량의 실도로 배기규제 평가를 위한 구간 주행 속도 특성 분석 및 해석 모델 개발 연구)

  • Seongsu Kim;Minho Lee;Kyoungha Noh;Junghwan Kim
    • Journal of ILASS-Korea
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    • v.28 no.4
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    • pp.184-190
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    • 2023
  • The European Union has instituted a new emission standard protocol that necessitates real-time measurements from vehicles on actual roads. The adequate development of routes for real driving emissions (RDE) mandates substantial resources, encompassing both vehicles and a portable emission measurement system (PEMS). In this study, a simulation tool was utilized to predict the vehicle speed traversing the routes developed for the RDE measurements. Initially, the vehicle powertrain system was modeled for both a gasoline hybrid vehicle and a gasoline engine-only vehicle. Subsequently, the speed profile for the specified vehicle was constructed based on the RDE route developed for the EURO-6 standard. Finally, the predicted vehicle speed profiles for highway and urban routes were assessed utilizing the actual driving data. The driving model predicted more consistency in the vehicle speed at each driving section. Meanwhile, the human driver tended to accelerate further, and then decelerate in each section, instead of cruising at a predicted section speed.