• Title/Summary/Keyword: 승차인원

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A study on counting number of passengers by moving object detection (이동 객체 검출을 통한 승객 인원 개수에 대한 연구)

  • Yoo, Sang-Hyun
    • Journal of Internet Computing and Services
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    • v.21 no.2
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    • pp.9-18
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    • 2020
  • In the field of image processing, a method of detecting and counting passengers as moving objects when getting on and off the bus has been studied. Among these technologies, one of the artificial intelligence techniques, the deep learning technique is used. As another method, a method of detecting an object using a stereo vision camera is also used. However, these techniques require expensive hardware equipment because of the computational complexity of used to detect objects. However, most video equipments have a significant decrease in computational processing power, and thus, in order to detect passengers on the bus, there is a need for an image processing technology suitable for various equipment using a relatively low computational technique. Therefore, in this paper, we propose a technique that can efficiently obtain the number of passengers on the bus by detecting the contour of the object through the background subtraction suitable for low-cost equipment. Experiments have shown that passengers were counted with approximately 70% accuracy on lower-end machines than those equipped with stereo vision camera.

A Study on the Factors Affecting the Stopping Time and Punctuality of Bus Stop: A Case of Bus Stop by Roadside Bus Only Lane (버스 정류장 정차시간 및 정시성에 영향을 미치는 요인에 관한 연구: 가로변 버스전용차로의 정류장을 중심으로)

  • JANG, Jae-Min;LEE, Young-Inn;LEE, Keun
    • Journal of Korean Society of Transportation
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    • v.35 no.3
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    • pp.234-246
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    • 2017
  • The Seoul metropolitan government introduced the bus information systems, bus rapid transit to increase travel speed and punctuality but still suffer from insufficiency. This paper delivers a study verifying the external factors at near the bus stops. The dependent variable was set to the standard deviation of (1) travel time and (2) travel time to and from the bus stop in this study. The independent variables were set to (1) the number of routes, (2) traffic volume by bus type, (3) the number of bus bays, (4) the possibility of passing, (5) the distance to crosswalks and intersections, and (5) the presence of residential road. The results showed that the most significant factors included the link section speed, number of bus bay, distance to crosswalk, and the possibility of passing.