Three aspects of merging capacity: their stochastic nature
Shawky, Mohamed; Hideki Nakamura;
Abstract
The proper understanding of the fluctuation nature of merging capacity is essential for more effective management and
control strategies of merging sections. This paper aims to analyze the stochastic nature of the merging capacity and
breakdown phenomenon in Japan urban expressway on-ramp junctions as well as to investigate the impact of some
factors on their distributions, such as geometric design and traffic flow characteristics. Cumulative distribution models
of merging capacity are presented for three different traffic flow conditions: before breakdown, when breakdown
occurs and after breakdown. In addition, two different breakdown probability models in terms of flow rate and
occupancy measurements are provided. These distribution models are more realistic for ITS control applications of
merging section than the single value concept of capacity that is currently used.
control strategies of merging sections. This paper aims to analyze the stochastic nature of the merging capacity and
breakdown phenomenon in Japan urban expressway on-ramp junctions as well as to investigate the impact of some
factors on their distributions, such as geometric design and traffic flow characteristics. Cumulative distribution models
of merging capacity are presented for three different traffic flow conditions: before breakdown, when breakdown
occurs and after breakdown. In addition, two different breakdown probability models in terms of flow rate and
occupancy measurements are provided. These distribution models are more realistic for ITS control applications of
merging section than the single value concept of capacity that is currently used.
Other data
Title | Three aspects of merging capacity: their stochastic nature | Authors | Shawky, Mohamed ; Hideki Nakamura | Keywords | Merging capacity, Breakdown phenomenon, Ramp metering systems, Expressway on-ramp junction | Issue Date | 23-May-2007 | Publisher | https://www.its-jp.org/journal/papers/43.pdf | Journal | International Journal of ITS Research | Volume | 5 | Issue | 1 | Description | https://www.its-jp.org/journal/papers/43.pdf |
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