• Title/Summary/Keyword: Traffic Volume of Passenger Car

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Development of Gap Acceptance Models for Permitted Left Turn Intersections (비보호좌회전에서의 간격수락 행태모형 개발)

  • Lee, Chung Won;Lee, Dong Min;Hwang, Soon Cheon
    • International Journal of Highway Engineering
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    • v.18 no.5
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    • pp.95-103
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    • 2016
  • PURPOSES : Permitted left turn is a turning maneuver in which a vehicle turns left using a gap between oncoming vehicles, called gap acceptance, and it enables for more efficient traffic operation at intersections. In Korea, the permitted left turn has not been a common maneuver at signalized or un-signalized intersections. However, many experts and the Police Agency tried to apply this effective turning maneuver at intersections in Korea since 2010. Though the investigation of gap acceptance is significantly important in understanding a driver's behavior at intersections, there have not been many studies about this topic, specifically a study to develop probability models of gap acceptance behavior. METHODS : In this study, the probability model of gap acceptance behavior for a permitted left turn was developed based on observational field studies. To develop the model, seven variables were analyzed including gap, waiting time, traffic volume, conflict-flow vehicle type, left-turning vehicle type, the number of lane, and time. RESULTS : In the final model, gap and left-turning vehicle type were found to be significant influencing factors. CONCLUSIONS : Through this model development, it was concluded that as the gap size increased, the probability of gap acceptance was higher. Moreover, when a left-turning vehicle was a passenger car, the probability of gap acceptance was higher than compared to large size buses or freight cars.

Comparison of Fuel Consumption Estimation for Passenger Cars (승용차 유류소모량 산정 방법의 비교 연구)

  • Yoo, In-Kyoon;Kim, Je-Won;Lee, Su-Hyeong;Ko, Kwang-Ho
    • International Journal of Highway Engineering
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    • v.13 no.4
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    • pp.167-175
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    • 2011
  • Evaluation of fuel consumption for the various road condition and vehicle type is necessary to perform the economic analysis of road construction which is important for the efficient design and management of road. Economic analysis of road should consider the social cost which can be divided into agency cost including initial construction expense, maintenance cost, and so on, and user cost consisting of vehicle operating cost, congestion cost, etc. Since vehicle operating cost depends on the traffic volume, fuel consumption that is a major part of vehicle operating cost will change by traffic volume as well. Fuel consumption is significantly affected by vehicle speed and road condition, especially the roughness. Thus, fuel consumption should be evaluated in terms of road condition, which is not currently considered. In this study, the estimation model of fuel consumption for the passenger cars in Korea has been developed by considering the road condition. First, the relationship between vehicle speed and fuel consumption that is used to calculate the vehicle operating cost for investment evaluation of transportation facility and the initial feasibility study of road construction was investigated. Second, with the consideration of road roughness, fuel consumption of the passenger car was measured. From the measurement, it was found that fuel consumption increased by $80m{\ell}$ per 100km driving as the roughness increased by 1m/km. Therefore, it is recommended that for the economic analysis of road design and management, the fuel consumption should be a function of road roughness.

CRS installation performance in Korean Market (한국시장에서의 카시트 장착성 평가)

  • Cho, Jaeho;Seo, Kwanho;Lee, Hwasoo;Lee, Minsu
    • Journal of Auto-vehicle Safety Association
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    • v.5 no.2
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    • pp.39-44
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    • 2013
  • Motor vehicle crashes are the leading cause (70%) of children injury and fatality. 98% of Children under the age of 9 who came to emergency room with a traffic accident are not seated in CRS. Reduction in mortality when using CRS (NHTSA study), 71% for infants of 1-2 years old, 54% for 3-6 years old and 7-12 years old. It is very important and essential to use CRS for child passenger safety. But in Korean market, the CRS fitment rate is relatively low (20~40%). For European market, at the start of 2013, Euro NCAP started to check how easy it is to install the most common seats. And US market, NHTSA is planning a new consumer information program of CRS fitment for near future. This study examines CRS installation performance of 3 vehicles which are produced by GM Korea and 21 CRS which are based on sales volume in Korean market. Purpose of this study is to identify both vehicle and CRS design that causes bad interaction for CRS installation.

A Foreign Body Found in the Pulmonary Artery of a Traffic Accident Victim with a Chest Injury and Near-amputation of the Upper Extremity - A case report - (흉부 손상과 함께 우상지에 절단에 가까운 열창을 입은 교통 사고 환자에서 발견된 폐동맥 내 이물질 - 1예 보고 -)

  • Choi, Goang-Min;Kim, Heung-Cheol;Cho, Kwang-Yun;Kim, Hyung-Soo
    • Journal of Chest Surgery
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    • v.41 no.4
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    • pp.536-539
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    • 2008
  • We present a case with a foreign body in the left pulmonary artery, found in a traffic accident victim. A 52-year-old woman sitting in the passenger side of a car had massive bleeding and near complete amputation of her right forearm in addition to multiple rib fractures and a hemopneumothorax. At arrival to the emergency room, the patient had signs of shock; she was anemic, drowsy and hypotensive. A large volume of blood and crystalloid fluids were administered via the left subclavian vein with a rapid infusion device (Level $1^{(R)}$). As the lung contusion improved, a foreign body was noticed in the left lung field on plain x-rays. Pulmonary angiography was performed and revealed a 15 cm foreign body in the left basal segment of the common pulmonary artery. The foreign body was successfully retrieved using vascular forceps via the percutaneous femoral vein approach.

Construction of vehicle classification estimation model from the TCS data by using bootstrap Algorithm (붓스트랩 기법을 이용한 TCS 데이터로부터 차종별 교통량 추정모형 구축)

  • 노정현;김태균;차경준;박영선;남궁성;황부연
    • Journal of Korean Society of Transportation
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    • v.20 no.1
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    • pp.39-52
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    • 2002
  • Traffic data by vehicle classification is difficult for mutual exchange of data due to the different vehicle classification from each other by the data sources; as a result, application of the data is very limited. In Particular. in case of TCS vehicle classification in national highways, passenger car, van and truck are mixed in one category and the practical usage is very low. The research standardize the vehicle classification to convert other data and develop the model which can estimate national highway traffic data by the standardized vehicle classification from the raw traffic data obtained at the highway tollgates. The tollgates are categorized into several groups by their features and the model estimates traffic data by the standardized vehicle classification by using the point estimation and bootstrap algorithm. The result indicates that both of the two methods above have the significant level. When considering the bias of the extreme value by the sample size, the bootstrap algorithm is more sophisticated. Using result of this study, we is expect the usage improvement of TCS data and more specific comparison between the freeway traffic investigation and link volume on freeway using the TCS data.

Class 1·3 Vehicle Classification Using Deep Learning and Thermal Image (열화상 카메라를 활용한 딥러닝 기반의 1·3종 차량 분류)

  • Jung, Yoo Seok;Jung, Do Young
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.19 no.6
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    • pp.96-106
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    • 2020
  • To solve the limitation of traffic monitoring that occur from embedded sensor such as loop and piezo sensors, the thermal imaging camera was installed on the roadside. As the length of Class 1(passenger car) is getting longer, it is becoming difficult to classify from Class 3(2-axle truck) by using an embedded sensor. The collected images were labeled to generate training data. A total of 17,536 vehicle images (640x480 pixels) training data were produced. CNN (Convolutional Neural Network) was used to achieve vehicle classification based on thermal image. Based on the limited data volume and quality, a classification accuracy of 97.7% was achieved. It shows the possibility of traffic monitoring system based on AI. If more learning data is collected in the future, 12-class classification will be possible. Also, AI-based traffic monitoring will be able to classify not only 12-class, but also new various class such as eco-friendly vehicles, vehicle in violation, motorcycles, etc. Which can be used as statistical data for national policy, research, and industry.

A Predictive Study on Backset Variation on the Neck Injury of Human Model during Rear-end Collision (후방추돌시 백세트 변화에 따른 인체모형의 목상해에 관한 예측 연구)

  • Park, Jin-Su;Baek, Se-Ryong;Lim, Jong-Han;Yoon, Jun-Kyu
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.18 no.6
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    • pp.251-258
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    • 2018
  • Recently, due to the increase in the traffic volume of vehicle, the collision of the vehicle collision has been increased so that the neck injuries of the passengers has been increased. In order to prevent this, vehicle collision analysis research using computer simulation has been actively carried out in consideration of the design point of car seat. In this study, I used the MADYMO program for analyzing the passenger behavior using a BioRID II dummy, and predicted the neck injuries of passengers according to the change of the backset at the rearward collision of the driving speed of 16km/h. As a result, it was found that the shorter the backset, the shorter the contact start time but the contact completion time was almost the same and the T1 acceleration showed that the acceleration increased with the backset. In addition, the tensile strength increases as the backset increases, and NIC (Neck Injury Criterion) increases as the head speed reaches the headrest.

A Study on the competitive status and cooperative schemes of Korea-China ports (한·중 항만의 경쟁실태와 협력 방안)

  • Kim, Hong-seop
    • Journal of Distribution Science
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    • v.5 no.2
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    • pp.55-78
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    • 2007
  • Northeast Asia is one of the regions which have been developing so rapidly. Yellow sea, located between Korea and China, became a very important logistical zone because of its huge volume of cargo and big passenger traffic. These two countries continuously are enlarging their port facilities such as berths, container yards, storage capacity and their information system in this the Pan Yellow sea area. Two countries also introduce many new liner routes and car-ferry shipping services. Therefore there must be a severe competitions and conflicts among the countries and their companies and ports as well. Some experts worry about the over capacity of port and logistics facilities. This paper investigated the current conditions of Korea-China shipping route, container and car-ferry route, and found out the problems and tasks, with the support of many experts. There are so many alternatives and strategies to solve and rationalize the shipping route and the problems of ports of two countries. This paper suggest many strategies connecting with marketing 4Ps. As port service is also a kind of service product, we can categorize the strategies into 4Ps suggested by McCarthy. And this paper classify all these alternatives into 3 dimensions. There are competitive strategies, cooperative strategies and coopetition strategies. This paper propose some directions and ideas for adopting the strategy in the port and logistical topics between Korea and China, suggesting 3 dimensions of strategies. After this paper, many diagnoses and practical investigations should be executed to introduce optimal solutions and minimize the additional cost.

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