Queuing model of a traffic bottleneck with bimodal arrival rate

Woelki, Marko

doi:10.1142/s0217979215410015

Cited by 2 publications

(1 citation statement)

References 10 publications

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“…At present, the application of queuing theory is extensive. Load balancing [35], urban traffic [36], [37] and resource utilization [38] all involve queuing theory. A queuing model is generally expressed as a 6-tuple: X /Y /Z /A/B/C.…”

Section: A Queuing Modelsmentioning

confidence: 99%

Research on Situation Awareness of Airport Operation Based on Petri Nets

Luo

Chen

et al. 2019

IEEE Access

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The civil aviation industry is undergoing rapid development. However, the on-time rate of airport flights and passenger service quality are not particularly satisfying. The cause of the above problems is the contradiction between the limited operational support capability and the continuous growth of passenger traffic volume. Therefore, the key to solving these problems is achieving situation awareness of airport operation. Many situation awareness algorithms, typically categorized into modeling and machine learning, have been proposed in the past years. However, existing models lack flexibility and their prediction accuracy is unstable. Machine learning's results cannot be timely and effective when external conditions are suddenly changed although some related algorithms have higher accuracy because of the retraining of artificial neural network (ANN). This paper proposes a situation awareness method based on Petri nets (PNs). This method introduces the queuing theory and perceptual parameters into the existing PN and constructs the perceptual PNs' model for general service systems so that it can quickly model different scene service systems. In combination with the ANN, this paper proposes a complete situation awareness algorithm to realize a sustained and accurate situation awareness prediction of the service system by solving point estimations of the macroscopic and microscopic situation in this model, which helps to address some challenges faced by current civil aviation airports. By experimenting on-ground support in civil aviation airports and the access of website as well as comparing the situation separately with Airport Collaborative Decision Making and stochastic PNs, the validity and accuracy of the algorithm proposed in this paper are well verified. INDEX TERMS Artificial neural network, modeling, Petri nets, situation awareness.

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Section: A Queuing Modelsmentioning

confidence: 99%

Research on Situation Awareness of Airport Operation Based on Petri Nets

Luo

Chen

et al. 2019

IEEE Access

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Effect of density feedback on the two-route traffic scenario with bottleneck

Sun

Ding

Huang³

2016

Int. J. Mod. Phys. C

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In this paper, we investigate the effect of density feedback on the two-route scenario with a bottleneck. The simulation and theory analysis shows that there exist two critical vehicle entry probabilities [Formula: see text] and [Formula: see text]. When vehicle entry probability [Formula: see text], four different states, i.e. free flow state, transition state, maximum current state and congestion state are identified in the system, which correspond to three critical reference densities. However, in the interval [Formula: see text], the free flow and transition state disappear, and there is only congestion state when [Formula: see text]. According to the results, traffic control center can adjust the reference density so that the system is in maximum current state. In this case, the capacity of the traffic system reaches maximum so that drivers can make full use of the roads. We hope that the study results can provide good advice for alleviating traffic jam and be useful to traffic control center for designing advanced traveller information systems.

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Queuing model of a traffic bottleneck with bimodal arrival rate

Cited by 2 publications

References 10 publications

Research on Situation Awareness of Airport Operation Based on Petri Nets

Research on Situation Awareness of Airport Operation Based on Petri Nets

Effect of density feedback on the two-route traffic scenario with bottleneck

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