2006
DOI: 10.1049/ip-its:20055003
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Discrete release rate impact on ramp metering performance

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Cited by 16 publications
(9 citation statements)
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“…This because the conflicts between the merging and main carriageway vehicles occur at the extremes of the merging platoon and the main carriageway gap G. Therefore, larger platoons have less conflicting zones per vehicle. The disadvantage of releasing platoons is that they create stronger disruptions on the main carriageway flow while merging [6], [24]. The effects of this design on the control strategy performance are evaluated using simulation in the next sections, while the consequences of miss-coordination between gaps and merging platoons are left for further work.…”
Section: Strategymentioning
confidence: 99%
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“…This because the conflicts between the merging and main carriageway vehicles occur at the extremes of the merging platoon and the main carriageway gap G. Therefore, larger platoons have less conflicting zones per vehicle. The disadvantage of releasing platoons is that they create stronger disruptions on the main carriageway flow while merging [6], [24]. The effects of this design on the control strategy performance are evaluated using simulation in the next sections, while the consequences of miss-coordination between gaps and merging platoons are left for further work.…”
Section: Strategymentioning
confidence: 99%
“…This concept of rate of breakdown is related to that of stochastic motorway capacity as introduced and empirically analysed by Brilon et al [4]. While [3] and [4] proposed a stochastic nature of breakdown and capacity, other authors identified the perturbations of merging vehicles as the cause of breakdown at on-ramp merges [5], [6]. These perturbations can be created by aggressive driving, relaxation phenomenon and by vehicles that are not able to find a suitable gap during the merging manoeuvre [7]; therefore, they are forced to decrease their speed when they approach the end of the acceleration lane.…”
Section: Introductionmentioning
confidence: 99%
“…In the proposed algorithm, each ramp meter can eventually have 37 released metering rates with a minimum control resolution of 0.025. Since the effect of the discretization can be negligible when the numbers of released metering rates are no less than ten [24], a discretization with 37 released rates is considered sufficient for a ramp meter.…”
Section: A Dp Decision Networkmentioning
confidence: 99%
“…Since 10 released rates are normally sufficient for a ramp meter [24], the proposed IDP algorithm can also be simplified to handle more on-ramps, where a ramp meter can be set to 4 released meter rates within a range of 1for the first search and set to 3 released rates within a range of 0.2 for the second search. In this way, up to 7 on-ramps can be controlled with reasonable amount of computing time (40~45 s).…”
Section: Real-time Implementation Issuesmentioning
confidence: 99%
“…These approaches have the advantage of reducing the discrepancy between the demand prediction and the real demand. Examples of MPC ramp metering strategies include the work developed by Hegyi et al [21], Kotsialos et al [22], and Papamichail et al [23].…”
Section: Introductionmentioning
confidence: 99%