Comparative traffic data analysis for a motorway with a tunnel segment
Comparative traffic data analysis for a motorway with a tunnel segment
This paper introduces the changes of traffic characteristics in one of “Seoul-Chuncheon Motorway” sections including a tunnel segment in South Korea. It is easy to understand that the traffic characteristics are by no means a constant value and are dependent on geometrical features like a tunnel. It would be also important that the traffic characteristics could affect total travelling time passing the section and the results of a Cost-Benefit Analysis (CBA). Overall traffic characteristics such as free-flow speed, road capacity and breakdown effect were analysed for demonstrating this impact. The past one-year data from Korean Intelligent Transport System (ITS) clearly shows these changes in many locations inside and outside a tunnel. Some meaningful values in the data analysis are suggested in this paper. The initial observation during the comparatively short period (45 days) derives the lowest free-flow speed and the largest traffic volumes through comparing with every value in each location. In the latter part of this paper, the detailed one-year data analysis minimises the errors, which are the impacts of external conditions such as season or weather. In addition, traffic volume at the breakdown point as well as free-flow speed and road capacity indicate that a tunnel could cause the changes in travelling time. It is significant that the derivation of the various values from this analysis could guarantee the possibility of developing a new model for the traffic assignment in a motorway section that has similar geometry to that in this paper.
Yoon, Sungbae
a8524183-a16d-4ca3-ab18-80039ea24311
Preston, Jonathan
ef81c42e-c896-4768-92d1-052662037f0b
Kaparias, Ioannis
e7767c57-7ac8-48f2-a4c6-6e3cb546a0b7
2018
Yoon, Sungbae
a8524183-a16d-4ca3-ab18-80039ea24311
Preston, Jonathan
ef81c42e-c896-4768-92d1-052662037f0b
Kaparias, Ioannis
e7767c57-7ac8-48f2-a4c6-6e3cb546a0b7
Yoon, Sungbae, Preston, Jonathan and Kaparias, Ioannis
(2018)
Comparative traffic data analysis for a motorway with a tunnel segment.
50th Annual Conference of the Universities’ Transport Study Group, , London, United Kingdom.
03 - 05 Jan 2018.
Record type:
Conference or Workshop Item
(Paper)
Abstract
This paper introduces the changes of traffic characteristics in one of “Seoul-Chuncheon Motorway” sections including a tunnel segment in South Korea. It is easy to understand that the traffic characteristics are by no means a constant value and are dependent on geometrical features like a tunnel. It would be also important that the traffic characteristics could affect total travelling time passing the section and the results of a Cost-Benefit Analysis (CBA). Overall traffic characteristics such as free-flow speed, road capacity and breakdown effect were analysed for demonstrating this impact. The past one-year data from Korean Intelligent Transport System (ITS) clearly shows these changes in many locations inside and outside a tunnel. Some meaningful values in the data analysis are suggested in this paper. The initial observation during the comparatively short period (45 days) derives the lowest free-flow speed and the largest traffic volumes through comparing with every value in each location. In the latter part of this paper, the detailed one-year data analysis minimises the errors, which are the impacts of external conditions such as season or weather. In addition, traffic volume at the breakdown point as well as free-flow speed and road capacity indicate that a tunnel could cause the changes in travelling time. It is significant that the derivation of the various values from this analysis could guarantee the possibility of developing a new model for the traffic assignment in a motorway section that has similar geometry to that in this paper.
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Published date: 2018
Venue - Dates:
50th Annual Conference of the Universities’ Transport Study Group, , London, United Kingdom, 2018-01-03 - 2018-01-05
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Local EPrints ID: 416879
URI: http://eprints.soton.ac.uk/id/eprint/416879
PURE UUID: 68dd8559-9058-416f-a0c1-b72426f9f7ad
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Date deposited: 12 Jan 2018 17:30
Last modified: 16 Mar 2024 04:28
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Author:
Sungbae Yoon
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