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Accelerating Discoveries in Traffic Science

Accelerating Discoveries in Traffic Science

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PUBLISHED
28.06.2015
DOI
https://doi.org/10.7307/ptt.v27i3.1566
ISSUE
2015 (Vol 27), Issue 3
LICENSE
Copyright (c) 2024 Jinxing Shen, Wenquan Li, Feng Qiu, Shukang Zheng
Creative Commons 4.0 logo
This work is licensed under a
Creative Commons Attribution-NonCommercial-
NoDerivatives 4.0 International License.

Capacity of Freeway Merge Areas with Different On-Ramp Traffic Flow

Authors:

Jinxing Shen
Transportation College, Southeast University

Wenquan Li
Transportation College, Southeast University

Feng Qiu
Transportation College, Southeast University

Shukang Zheng
Internet Of Things Engineering College Hohai University 1, XikangRoad, Nanjing, 210098, China

Keywords:gap-acceptance model, driver behaviour, capacity, freeway merge areas,

Abstract

This paper is aimed at investigating the influence of different types of traffic flows on the capacity of freeway merge areas. Based on the classical gap-acceptance model, two calculating models were established specifically considering randomly arriving vehicles and individual difference in driving behaviours. Monte-Carlo simulation was implemented to reproduce the maximum traffic volume on the designed freeway merge area under different situations. The results demonstrated that the proposed calculating models have better performance than the conventional gap-acceptance theory on accurately predicting the capacity of freeway merge areas. The findings of research could be helpful to improve the microscopic traffic flow simulation model from a more practical perspective and support the designing of freeway merge areas as well.

References

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    Persaud B, Yagar S, Tsui D, Look H. Breakdown-related capacity for freeway with ramp metering. Transportation Research Record: Journal of the Transportation Research Board. 2001;1748(1):110-115.

    Srivastava A, Geroliminis N. Empirical observations of capacity drop in freeway merges with ramp control and integration in a first-order model. Transportation Research Part C: Emerging Technologies. 2013;30:161-177.

    Zhang GH, Wang YH. Optimizing Coordinated Ramp Metering: A Preemptive Hierarchical Control Approach. Computer-Aided Civil and Infrastructure Engineering. 2013;28(1):22-37.

    Al-Obaedi J, Yousif S. Microsimulation Model for Motorway Merges with Ramp-Metering Controls. Intelligent Transportation Systems, IEEE Transactions on. 2012;13(1):296-306.

    Albanese M, Camus R, Longo G. Capacity and queue modeling for on-ramp-freeway junctions. T

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How to Cite
Shen, J. (et al.) 2015. Capacity of Freeway Merge Areas with Different On-Ramp Traffic Flow. Traffic&Transportation Journal. 27, 3 (Jun. 2015), 227-235. DOI: https://doi.org/10.7307/ptt.v27i3.1566.

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