Modelling and Performance Evaluation of Railway transport Systems using P-timed Petri Nets

2018 ◽  
Author(s):  
Mouhaned Gaied ◽  
Dimitri Lefebvre ◽  
Anis M'halla ◽  
Kamel Ben Othmen
Keyword(s):  
Performance Evaluation ◽  
Petri Nets ◽  
Transport Systems ◽  
Railway Transport ◽  
Timed Petri Nets ◽  
And Performance

scholarly journals A Monitoring Approach Based on Fuzzy Stochastic P-Timed Petri Nets of a Railway Transport Network

2021 ◽  
Vol 2021 ◽  
pp. 1-18
Author(s):  
Anis M’hala
Keyword(s):  
Petri Nets ◽  
Stochastic Petri Nets ◽  
Transport Systems ◽  
Railway Transport ◽  
Timed Petri Nets ◽  
Transport Networks ◽  
Railway Network ◽  
Fuzzy Petri Nets ◽  
Traffic Disturbance

This paper proposes a monitoring approach based on stochastic fuzzy Petri nets (SFPNs) for railway transport networks. In railway transport, the time factor is a critical parameter as it includes constraints to avoid overlaps, delays, and collisions between trains. The temporal uncertainties and constraints that may arise on the railway network may degrade the planned schedules and consequently affect the availability of the transportation system. This leads to many problems in the decision and optimization of the railway transport systems. In this context, we propose a new fuzzy stochastic Petri nets for monitoring (SFPNM). The main goal of the proposed supervision approach is to allow an early detection of traffic disturbance to avoid catastrophic scenarios and preserve stability and security of the studied railway networks. Finally, to demonstrate the effectiveness and accuracy of the approach, an application to the case study of the Tunisian railway network is outlined.

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