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

Shen, Jinxing; Li, Wenquan; Qiu, Feng; Zheng, Shukang

doi:10.7307/ptt.v27i3.1566

Cited by 5 publications

(1 citation statement)

References 21 publications

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“…The capacity of the merge segment can decrease when the demand from the on-ramp is very high. This is similar to findings from past related studies ( 27 , 28 ).…”

Section: Resultssupporting

confidence: 93%

Developing Highway Capacity Manual Capacity Adjustment Factors for Connected and Automated Traffic on Freeway Segments

Adebisi

Liu

Schroeder³

et al. 2020

Transportation Research Record: Journal of the Transportation R

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Connected and automated vehicles (CAVs) will undoubtedly transform many aspects of transportation systems in the future. In the meantime, transportation agencies must make investment and policy decisions to address the future needs of the transportation system. This research provides much-needed guidance for agencies about planning-level capacities in a CAV future and quantify Highway Capacity Manual (HCM) capacities as a function of CAV penetration rates and vehicle behaviors such as car-following, lane change, and merge. As a result of numerous uncertainties on CAV implementation policies, the study considers many scenarios including variations in parameters (including CAV gap/headway settings), roadway geometry, and traffic characteristics. More specifically, this study considers basic freeway, freeway merge, and freeway weaving segments in which various simulation scenarios are evaluated using two major CAV applications: cooperative adaptive cruise control and advanced merging. Data from microscopic traffic simulation are collected to develop capacity adjustment factors for CAVs. Results show that the existence of CAVs in the traffic stream can significantly enhance the roadway capacity (by as much as 35% to 40% under certain cases), not only on basic freeways but also on merge and weaving segments, as the CAV market penetration rate increases. The human driver behavior of baseline traffic also affects the capacity benefits, particularly at lower CAV market penetration rates. Finally, tables of capacity adjustment factors and corresponding regression models are developed for HCM implementation of the results of this study.

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“…The capacity of the merge segment can decrease when the demand from the on-ramp is very high. This is similar to findings from past related studies ( 27 , 28 ).…”

Section: Resultssupporting

confidence: 93%

Developing Highway Capacity Manual Capacity Adjustment Factors for Connected and Automated Traffic on Freeway Segments

Adebisi

Liu

Schroeder³

et al. 2020

Transportation Research Record: Journal of the Transportation R

View full text Add to dashboard Cite

show abstract

Flow-balanced-based collaborative strategies and simulation of vehicle group behaviors for on-ramp areas

Zheng

Huang

et al. 2020

Simulation Modelling Practice and Theory

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Capacity of merging areas of multi-lane roads with two-lane entrance ramps

Kostsov

Tanatova

2021

IOP Conf. Ser.: Mater. Sci. Eng.

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The discrepancy between transport demand and supply in the largest cities of the Russian Federation determines the need to create urban high-speed roads on their territory. Currently, there is no data on the capacity of sections of multi-lane road junctions with two-lane exit ramps, taking into account traffic conditions in large and major cities of Russia. The article presents the results of studies of the throughput of such sections of interfaces. The research was carried out using simulation methods after calibration of the model taking into account traffic conditions on the roads of the largest cities of the Russian Federation. The obtained research results are recommended for a reasonable assignment of the type of conjugation of two-lane exits with multi-lane highways on the territory of large and largest cities in Russia.

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

Abstract: This paper is aimed at investigating the influence of different types of traffic flows

Cited by 5 publications

References 21 publications

Developing Highway Capacity Manual Capacity Adjustment Factors for Connected and Automated Traffic on Freeway Segments

Developing Highway Capacity Manual Capacity Adjustment Factors for Connected and Automated Traffic on Freeway Segments

Flow-balanced-based collaborative strategies and simulation of vehicle group behaviors for on-ramp areas

Capacity of merging areas of multi-lane roads with two-lane entrance ramps

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