Empirical Observation of Maximum Throughput Change in Isolated Merging Bottlenecks Depending on On-Ramp Traffic Flow Ratio

Lee, Junhyung; Kim, Taewan; Son, Bongsoo

doi:10.1007/s12205-021-0496-9

Cited by 5 publications

(2 citation statements)

References 25 publications

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“…The capacity drop phenomenon was also confirmed by Hall and Agyemang-Duah [5]. Since then, many empirical studies have been conducted to quantify the capacity drop ranging between 0.5% and 35% [6][7][8][9][10][11][12][13][14][15]. In consideration of overall traffic delays, the rate of queue discharge is of significant importance.…”

Section: Introductionmentioning

confidence: 86%

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Empirical Proof of the Characteristics of the Queue Discharge Rate under Different Rainfall Conditions on an Active On-Ramp Bottleneck

Mejia,

Karoonsoontawong,

Kanitpong

2023

Applied Sciences

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Empirical studies show that queue discharge rate is lower than pre-queue capacity in congestion. This is the the capacity drop phenomenon. All previous research about this event used data during clear weather conditions. This is the first time that empirical relationships between queue discharge rate and weather conditions have been studied. Previous studies show that the capacity drop is triggered by a critical density. Once this density is reached, a drop in the discharge rate is expected. We show that this critical density decreases during any weather condition. Previous studies also prove that the capacity drop is related to speed in congestion but that this might not be true during inclement weather. We show that queue discharge rate is correlated to the speed of congestion in any weather condition. We have also shown for the first time that the speed in congestion and the percentage of the capacity drop have a negative linear relationship.

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Section: Introductionmentioning

confidence: 86%

“…The relationship between the capacity drop and on-ramp ratio, which is the on-ramp traffic flow divided by the on-ramp traffic flow plus the upstream traffic flow at a given interval, is a convex quadratic polynomial [15].…”

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confidence: 99%