• Title/Summary/Keyword: hi-pass traffic volume

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A Study on the Method of Highway Hi-pass Lane Arrangement and Operation (고속도로 영업소 하이패스 차로배치 및 운영에 관한 연구)

  • Lee, Soo Beom;Lim, Joon Beom;Joo, Sung Kab
    • Journal of Korean Society of Transportation
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    • v.31 no.6
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    • pp.22-33
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    • 2013
  • Currently average daily traffic using Hi-pass has increased over 3 times that of 2008 and more than half of highway traffic now uses High-pass. At this juncture, reassessment on the overall operation of Hi-pass is required to improve the safety aspect of toll booths and the flow of traffic. Although existing Hi-pass operation manual presents the methods of alignment, they do not reflect actual forms of vehicles and do not properly take the safety of toll booth and flow of the traffic into consideration. In order to compensate these problems, this study classifies highway tollbooths into two categories of mainline type and interchange type, and establishes the standard of lane alignment by traffic conflict analysis based on the types divided according to geometric structure or environment around the tollbooths. In addition, traffic flows around the tollbooths were reflected with the stage to arrange Hi-pass lanes according to the volume of traffic on the lanes for Hi-pass.

Estimation of Hi-pass Traffic Dispersion Rates to Determine The Optimal Location of Hi-pass Lanes at A Toll Plaza (요금소 하이패스 차로 배치 최적화를 위한 하이패스 차량 교통분산율 추정)

  • Lee, Jaesoo;Lee, Ki-Young;Lee, Cheol-Ki;Yun, Ilsoo;Yu, Jeong Whon
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.12 no.4
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    • pp.22-32
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    • 2013
  • Since the percentage of vehicles equipped with Hi-pass, an electronic toll collecting device, has increased rapidly, it is very crucial to determine the optimal location of Hi-pass lanes at a toll plaza in terms of traffic control and operation. In this study, the appropriateness of existing Hi-pass lanes of a toll plaza is evaluated considering its physical geometry and traffic characteristics. A new evaluating criterion called "traffic dispersion rate" is developed in order to measure the level of traffic spreading across the toll booth lanes at a toll plaza. Logistic regression models are constructed to estimate the relationship between the traffic dispersion rate and its affecting variables. The model estimation results show that several variables including Hi-pass lane traffic volume, length of toll plaza, entering/exiting taper lengths, and locations of Hi-pass lanes. The results also suggest that traffic dispersion rate can be increased by adjusting the location of Hi-pass lanes. The study enables us to quantify traffic dispersion rate which can be used to optimize the location and operation of Hi-pass lanes at toll plazas.

Analysis Period of Input Data for Improving the Prediction Accuracy of Express-Bus Travel Times (고속버스 통행시간 예측의 정확도 제고를 위한 입력자료 분석기간 선정 연구)

  • Nam, Seung-Tae;Yun, Ilsoo;Lee, Choul-Ki;Oh, Young-Tae;Choi, Yun-Taik;Kwon, Kenan
    • International Journal of Highway Engineering
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    • v.16 no.5
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    • pp.99-108
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    • 2014
  • PURPOSES : The travel times of expressway buses have been estimated using the travel time data between entrance tollgates and exit tollgates, which are produced by the Toll Collections System (TCS). However, the travel time data from TCS has a few critical problems. For example, the travel time data include the travel times of trucks as well as those of buses. Therefore, the travel time estimation of expressway buses using TCS data may be implicitly and explicitly incorrect. The goal of this study is to improve the accuracy of the expressway bus travel time estimation using DSRC-based travel time by identifying the appropriate analysis period of input data. METHODS : All expressway buses are equipped with the Hi-Pass transponders so that the travel times of only expressway buses can be extracted now using DSRC. Thus, this study analyzed the operational characteristics as well as travel time patterns of the expressway buses operating between Seoul and Dajeon. And then, this study determined the most appropriate analysis period of input data for the expressway bus travel time estimation model in order to improve the accuracy of the model. RESULTS : As a result of feasibility analysis according to the analysis period, overall MAPE values were found to be similar. However, the MAPE values of the cases using similar volume patterns outperformed other cases. CONCLUSIONS : The best input period was that of the case which uses the travel time pattern of the days whose total expressway traffic volumes are similar to that of one day before the day during which the travel times of expressway buses must be estimated.