• Title/Summary/Keyword: 차량군지수

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A Study on Sensitivity Analysis by PDF in T7F Model (T7F Model에서 차량군분산계수변화에 따른 민감도분석에 관한 연구)

  • Hwang, Eui-Jin
    • Journal of Korean Society for Geospatial Information Science
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    • v.14 no.1 s.35
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    • pp.57-63
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    • 2006
  • The purpose of this study is to correct data on 3 intersection ranging from Kwangchun INT. to Nongsung INT. by the means of VTR recording and site survey and to measure the responsiveness of performance index by diversifying the platoon dispersion factor in signal progression simulation. The results are as follows : 1. The value of platoon dispersion factor was 0.28-0.33. The value in up stream is lower than that of in down stream even on the same intersection. 2. The platoon index showed big changes, though performance index didn't according to platoon dispersion factor. Therefore the value of platoon dispersion factor which is inner variable in T7F can be fixed for 0.34. 3. There was only little divergence in performance index changes according to platoon dispersion factor in designing the progression or T7F model.

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Quantification Method of Driver's Dangerous Driving Behavior Considering Continuous Driving Time (연속주행시간을 고려한 운전자 위험운전행동의 정량화 방법)

  • Lee, Hyun-Mi;Lee, Won-Woo;Jang, Jeong-Ah
    • The Journal of the Korea institute of electronic communication sciences
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    • v.17 no.4
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    • pp.723-728
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    • 2022
  • This study is a method for evaluating and quantifying driver's dangerous driving behavior. The quantification method calculates various driving information in real time after starting the vehicle operation such as the time that the vehicle has been continuously driven without a break, overspeed, rapid acceleration, and overspeed driving time. These quantified risk of driving behavior values can be individually provided as a safe driving index, or can be used to objectify the evaluation of a group of drivers on roads, or vehicle groups such as cargo/bus/passenger vehicles.

Dynamic Network Loading Model based on Moving Cell Theory (Moving Cell Theory를 이용한 동적 교통망 부하 모형의 개발)

  • 김현명
    • Journal of Korean Society of Transportation
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    • v.20 no.5
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    • pp.113-130
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    • 2002
  • In this paper, we developed DNL(Dynamic Network Loading) model based on Moving cell theory to analyze the dynamic characteristics of traffic flow in congested network. In this paper vehicles entered into link at same interval would construct one cell, and the cells moved according to Cell following rule. In the past researches relating to DNL model a continuous single link is separated into two sections such as running section and queuing section to describe physical queue so that various dynamic states generated in real link are only simplified by running and queuing state. However, the approach has some difficulties in simulating various dynamic flow characteristics. To overcome these problems, we present Moving cell theory which is developed by combining Car following theory and Lagrangian method mainly using for the analysis of air pollutants dispersion. In Moving cell theory platoons are represented by cells and each cell is processed by Cell following theory. This type of simulation model is firstly presented by Cremer et al(1999). However they did not develop merging and diverging model because their model was applied to basic freeway section. Moreover they set the number of vehicles which can be included in one cell in one interval so this formulation cant apply to signalized intersection in urban network. To solve these difficulties we develop new approach using Moving cell theory and simulate traffic flow dynamics continuously by movement and state transition of the cells. The developed model are played on simple network including merging and diverging section and it shows improved abilities to describe flow dynamics comparing past DNL models.

Analysis of Ventilating Seat Comfort Temperature for Improving the Thermal Comfort inside Vehicles (자동차 실내 열쾌적성 개선을 위한 통풍시트의 쾌적온도 분석)

  • In, Chung-Kyo;Kwak, Seung-Hyun;Kim, Chang-Hoon;Kim, Kyu-Beom;Jo, Hyung-Seok;Seo, Sang-hyeok;Myung, Tae-Sik;Min, Byung-Chan
    • Science of Emotion and Sensibility
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    • v.23 no.4
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    • pp.33-40
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    • 2020
  • As the number of automobile registrations increases and luxury expectations grow, consumers are increasingly interested in indoor environment of vehicles. Therefore, manufacturers have an increasing interest in improving the indoor comfort as well as automobile performance. Research on indoor automobile comfort can help manufacturers increase driver satisfaction and reduce driver stress and discomfort, thereby reducing the risk of traffic accidents. Using electroencephalogram (EEG) measurements, we investigated the change in comfort and comfortable temperature according to the ventilating seat temperature change for both men and women. Results showed that the sensation of comfort was statistically significantly higher at 25℃ than at 28℃. Secondly, there was no statistically significant difference in temperature-based comfort feeling between male and female subjects. In the future, if the correlation between the driver's comfort feeling and the change in ventilating seat temperature is analyzed, it is possible to reduce traffic accidents caused by human error and reduce the electric energy consumption of the automobile.