On the system optimum of traffic assignment in <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si94.gif" overflow="scroll"><mml:mrow><mml:mi>M</mml:mi><mml:mo>/</mml:mo><mml:mi>G</mml:mi><mml:mo>/</mml:mo><mml:mi>c</mml:mi><mml:mo>/</mml:mo><mml:mi>c</mml:mi></mml:mrow></mml:math> state-dependent queueing networks

Cruz, Frederico R. B.; Woensel, van T Tom; Smith, J. MacGregor; Lieckens, Kris

doi:10.1016/j.ejor.2009.03.006

Cited by 28 publications

(4 citation statements)

References 32 publications

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“…1. Similarly, transportation infrastructures could be designed in such a way that the network flows are maximized taking into account congestion obtained via the queueing networks worked with in this paper (see, for instance, Cruz et al, 2010). In telecommunications, one could consider the buffer allocation space in call centers, i.e.…”

mentioning

confidence: 98%

Topological network design of general, finite, multi-server queueing networks

Smith¹,

Cruz²,

Woensel³

2010

European Journal of Operational Research

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mentioning

confidence: 98%

Topological network design of general, finite, multi-server queueing networks

Smith¹,

Cruz²,

Woensel³

2010

European Journal of Operational Research

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“…In these studies, network assignment modelling is used to adequately specify the spatio-temporal traffic flow characteristics and link/ path performances such as travel time. Under a network assignment frame, optimisation for vehicle routing has been sought by formulating travel time as an objective function in several studies (Laporte, 1992;Laporte et al, 1992;Gendreau et al, 1996;Ichoua et al, 2003;Van Woensel et al, 2008;Cruz et al, 2010;Pillac et al, 2013). Considering the problem of routing in networks and assuming a given set of routing options at multiple nodes, link traversal time is modelled as an independent random variable of a function to be approximated.…”

Section: Model Scalesmentioning

confidence: 99%

Reconstructing freeway travel times with a simplified network flow model alternating the adopted fundamental diagram

Çelikoğlu¹

2013

European Journal of Operational Research

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“…DE has been applied to different traffic problems worldwide. Among them are the traffic assignment, 26 the traffic signal control, 27–29 and the continuous network design. 30 These studies show that DE has significant potential for traffic problems.…”

Section: Introductionmentioning

confidence: 99%

Optimizing a fuzzy logic traffic signal controller via the differential evolution algorithm under different traffic scenarios

Doğan

Akgüngör

2016

SIMULATION

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This study aims at optimizing fuzzy logic controller (FLC) triangle membership functions (MFs) for different traffic volumes via differential evolution (DE). To achieve this goal, a new FLC with a red time limiter, which actually calculates green time and the extension time of traffic movement phase, is developed to control an intersection. Subsequently, this FLC is optimized with two levels, namely Level-1 and Level-2. Level-1 searches each fuzzy class’s minimum and maximum values (α and β) that generate the lowest average delay per vehicle with DE. Using DE Level-2 inherits Level-1 ranges and reshapes the MFs to explore lower delay values computed by Level-1. The proposed method is tested with nine different traffic scenarios. For each scenario, 15 different headways are applied for a four-leg isolated intersection. The results indicate that the intersection average performance is increased up to 52%, 48%, and 14% at 800, 1600, and 2400 veh/h total intersection volumes, respectively, after Level-1 optimizations. They also reveal that intersection control produces higher delay values in only four scenarios after Level-2 procedures. Consequently, it is shown that the DE has significant potential to optimize FLCs at the intersection signal control. In addition, tuning fuzzy class ranges is found to be more critical than the MF reshaping process in traffic control via FLCs.

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On the system optimum of traffic assignment in M/G/c/c state-dependent queueing networks

Cited by 28 publications

References 32 publications

Topological network design of general, finite, multi-server queueing networks

Topological network design of general, finite, multi-server queueing networks

Reconstructing freeway travel times with a simplified network flow model alternating the adopted fundamental diagram

Optimizing a fuzzy logic traffic signal controller via the differential evolution algorithm under different traffic scenarios

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