• Title/Summary/Keyword: Classification of 12 categories of vehicles

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A Study on Road Traffic Volume Survey Using Vehicle Specification DB (자동차 제원 DB를 활용한 도로교통량 조사방안 연구)

  • Ji min Kim;Dong seob Oh
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.22 no.2
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    • pp.93-104
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    • 2023
  • Currently, the permanent road traffic volume surveys under Road Act are conducted using a intrusive Automatic Vehicle Classification (AVC) equipments to classify 12 categories of vehicles. However, intrusive AVC equipment inevitably have friction with vehicles, and physical damage to sensors due to cracks in roads, plastic deformation, and road construction decreases the operation rate. As a result, accuracy and reliability in actual operation are deteriorated, and maintenance costs are also increasing. With the recent development of ITS technology, research to replace the intrusive AVC equipment is being conducted. However multiple equipments or self-built DB operations were required to classify 12 categories of vehicles. Therefore, this study attempted to prepare a method for classifying 12 categories of vehicles using vehicle specification information of the Vehicle Management Information System(VMIS), which is collected and managed in accordance with Motor Vehicle Management Act. In the future, it is expected to be used to upgrade and diversify road traffic statistics using vehicle specifications such as the introduction of a road traffic survey system using Automatic Number Plate Recognition(ANPR) and classification of eco-friendly vehicles.

Intention-Oriented Itinerary Recommendation Through Bridging Physical Trajectories and Online Social Networks

  • Meng, Xiangxu;Lin, Xinye;Wang, Xiaodong;Zhou, Xingming
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.6 no.12
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    • pp.3197-3218
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    • 2012
  • Compared with traditional itinerary planning, intention-oriented itinerary recommendations can provide more flexible activity planning without requiring the user's predetermined destinations and is especially helpful for those in unfamiliar environments. The rank and classification of points of interest (POI) from location-based social networks (LBSN) are used to indicate different user intentions. The mining of vehicles' physical trajectories can provide exact civil traffic information for path planning. This paper proposes a POI category-based itinerary recommendation framework combining physical trajectories with LBSN. Specifically, a Voronoi graph-based GPS trajectory analysis method is utilized to build traffic information networks, and an ant colony algorithm for multi-object optimization is implemented to locate the most appropriate itineraries. We conduct experiments on datasets from the Foursquare and GeoLife projects. A test of users' satisfaction with the recommended items is also performed. Our results show that the satisfaction level reaches an average of 80%.

Development of Permit Vehicle Classification System for Bridge Evaluation in Korea (허가차량 통행에 대한 교량의 안전성 평가를 위한 허가차량 분류 체계 개발)

  • Yu, Sang Seon;Kim, Kyunghyun;Paik, Inyeol;Kim, Ji Hyeon
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.21 no.12
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    • pp.845-856
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    • 2020
  • This study proposes a bridge evaluation system for indivisible permit vehicles such as hydraulic cranes. The permit loads for the bridge evaluation are divided into three categories: routine permit loads, special permit 1 loads, and special permit 2 loads. Routine permit and special permit 1 vehicles are allowed to cross a bridge with normal traffic. For these two permits, the standard lane model in the Korean Highway Bridge Design Code was adopted to consider normal traffic in the same lane. Special permit 2 vehicles are assumed to cross a bridge without other traffic. Structural analyses of two prestressed-beam bridges and two steel box girder bridges were conducted for the proposed permit loads. The rating factors of the four bridges for all permit loads were calculated as sufficiently large values for the moment and shear force so that crossing the bridges can be permitted. A reliability assessment of the bridges was performed to identify the reliability levels for the permit vehicles. It was confirmed that the reliability level of the minimum required strength obtained by the load-resistance factors yields the target reliability index of the design code for the permit vehicles.

An Observation on the Mortality Rates of Transport Accidents in Korea (우리나라의 교통사고사상률(交通事故死傷率)(WHO $E_{800{\sim}866}$)에 관(關)하여)

  • Chu, In-Ho;Park, Jung-Ja;Oh, Suk-Hwan;Han, Jae-Hee
    • Journal of Preventive Medicine and Public Health
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    • v.1 no.1
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    • pp.1-8
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    • 1968
  • This paper describes the incidence of transport accident for the period, 1955-1965. Transport accidents were classified into three categories, viz. railway(WHO Classification of Diseases, E-802), watercraft (E 550-E 858) and motor vehicle accidents(E810-E835, E840-E841, E844-E845). Crude data on the subject were collected from the various souces of Government Statistical Books including Statistical Year Books edited by the Central Office of Economic Planning Board, Annual Police Reports by the Ministry of Home Affairs, and the national and local associations for road traffic safety. From the data incidence and mortality rates by year, month and local province were computed and other variables relevant to the epidemiology of accidents were observed. The following summary could be drawn: 1. Death rates due to transport accidents per 100,000 population were 12.3 for 1955 and 9.7 for 1965. The incidence of injury due to the same cause were 34.0 for 1955 and 35.9 for 1965. 2. Death rates by transportation vehicle showed 9.0 due to motor vehicle accidents, 1.7 due to water-crafts, and 1.6 due to railway trains for 1955. In 1965 death rates were 6.0 due to motor vehicles, 1.2 to water-crafts and 2.4 to railway. 3. Seasonal distribution of transport accidents revealed that car accidents occur more frequently in spring and fall fall seasons while ship accidents do in winter and train accidents more in summer. 4. Both car and ship accidents slightly decreased during the past decade, 1955-1965, whereas the accidents of railway trains showed a tendency of increase. 5. Although the survey on railway accidents excluded the injuries of passengers or railway employees corresponding to WHO classification of diseases, E 801, due to inaccuracy of data, it is roughly estimated that the same number of casualities as the incidence among pedestrians or any other than passengers or employees assumed to be at work(E 802).

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