• Title/Summary/Keyword: Peak time congestion

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A Study on Estimate Model for Peak Time Congestion

  • Kim, Deug-Bong;Yoo, Sang-Lok
    • Journal of the Korean Society of Marine Environment & Safety
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    • v.20 no.3
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    • pp.285-291
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    • 2014
  • This study applied regression analysis to evaluate the impact of hourly average congestion calculated by bumper model in the congested area of each passage of each port on the peak time congestion, to suggest the model formula that can predict the peak time congestion. This study conducted regression analysis of hourly average congestion and peak time congestion based on the AIS survey study of 20 ports in Korea. As a result of analysis, it was found that the hourly average congestion has a significant impact on the peak time congestion and the prediction model formula was derived. This formula($C_p=4.457C_a+29.202$) can be used to calculate the peak time congestion based on the predicted hourly average congestion.

A Study on Evaluation of Marine Traffic Congestion based on Survey Research in Major Port (주요항만의 실측조사 기반 해상교통혼잡도 평가 연구)

  • Yoo, Sang-Rok;Jeong, Cho-Young;Kim, Chol-Seong;Park, Sung-Hyun;Jeong, Jae-Yong
    • Journal of the Korean Society of Marine Environment & Safety
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    • v.19 no.5
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    • pp.483-490
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    • 2013
  • In this study, we analyzed AIS measured data for ten days by selecting the four main ports with many ships arriving in the national ports. The peak time congestion of the main ports, calculated by survey research, was about 3.8-5.7 times higher than the hourly average congestion. This is very different from the results of the advanced research, evaluating the marine traffic congestion of the Ulsan main port based on the existing Port-MIS statistical data, which showed a peak time congestion of about 1.7 times higher than the hourly average. This identifies the problem of distorting the traffic characteristics of the current passage. Therefore, in order to evaluate marine traffic congestion, it would be more appropriate to calculate it based on survey research, rather than Port-MIS statistical data.

A Study on Seasonal Variation in Marine Traffic Congestion on Major Port and Coastal Routes (주요 항만 및 연안항로의 계절별 해상교통혼잡도 변화에 관한 연구)

  • Kang, Won-Sik;Song, Tae-Han;Kim, Young-Du;Park, Young-Soo
    • Journal of the Korean Society of Marine Environment & Safety
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    • v.23 no.1
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    • pp.1-8
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    • 2017
  • In this study, a congestion assessment was conducted to verify seasonal differences in congestion for major coastal traffic routes and fairways in major ports with GICOMS Data for 7 days without issuing a special weather report. As a result, a maximum of 11 % and 82 % are shown, with an average of 3.5 % and a 30 % seasonal difference for hourly average congestion and peak time congestion. Therefore, seasonal differences for the target area should be taken into consideration to perform further congestion assessments, particularly for maritime traffic safety assessments, and keen attention should be given to setting up safety measures against congestion.