2020
DOI: 10.1061/jtepbs.0000381
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Effect of Geometry and Control on the Probability of Breakdown and Capacity at Freeway Merges

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Cited by 8 publications
(5 citation statements)
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“…Further comparison between the optimum volumes and the conventional capacity values indicated that the optimum volume is a reasonable estimator of freeway design capacity. This was also supported by other researchers (16)(17)(18).…”
Section: Literature Reviewsupporting
confidence: 86%
“…Further comparison between the optimum volumes and the conventional capacity values indicated that the optimum volume is a reasonable estimator of freeway design capacity. This was also supported by other researchers (16)(17)(18).…”
Section: Literature Reviewsupporting
confidence: 86%
“…However, the omission or shortening of auxiliary lanes does not appear to significantly affect operational efficiency in certain conditions [32]. The detrimental impact of overflow traffic from ramps on the capacity in merging areas has also been established, suggesting a correlation between the number of lanes and capacity bottlenecks [33], [34]. These studies provide important references and inspiration for the design of three-lane ramps.…”
Section: Introductionmentioning
confidence: 80%
“…The analysis of the speed data shows that the speed drop initially occurs at the downstream RTMS (#410) compared with upstream RTMS (#409). This speed drop order shows that the upstream demand is not high enough to generate a bottleneck effect even though the number of lanes drops from three to two; consequently, the upstream flow considered as two lanes, because merging flow is compromise of two lanes [16]. As the total number of merging lanes at upstream and on-ramp flows are four and at the downstream three, this lane combination leads to define the FM1 as one lane drop merge.…”
Section: Study Areamentioning
confidence: 99%
“…It is concluded that speed drop is a superior indicator for estimation of breakdown compared to occupancy or volume-occupancy relationship on FMs [15]. Asgharzadeh and Kondyli [16] analyzed breakdown probability flow rates with considering number of lanes, ramp flow rate, presence of lane drops and ramp-metering. They concluded that number of lanes exposed inverse relationship with the average pre-breakdown flow rate per lane.…”
Section: Literature Reviewmentioning
confidence: 99%