2021
DOI: 10.3390/infrastructures6120180
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Freight Operations Modelling for Urban Delivery and Pickup with Flexible Routing: Cluster Transport Modelling Incorporating Discrete-Event Simulation and GIS

Abstract: Urban pickup and delivery (PUD) activities are important for logistics operations. Real operations for general freight involve a high degree of complexity due to daily variability. Discrete-event simulation (DES) is a method that can mimic real operations and include stochastic parameters. However, realistic vehicle routing is difficult to build in DES models. The objective is to create a DES model for realistic freight routing, which considers the driver’s routing decisions. Realistic models need to predict t… Show more

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Cited by 9 publications
(11 citation statements)
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References 58 publications
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“…El diseño de la logística de recuperación de residuos tiene sentido, según lo reportado por Lyu et al (2021), donde las técnicas de ruteo pueden combinar la simulación discreta por eventos para calcular los tiempos entre locales. Por ese motivo, se utiliza herramientas con información georreferenciada, lo que permite obtener las coordenadas de las ubicaciones con mayor precisión.…”
Section: Discussionunclassified
“…El diseño de la logística de recuperación de residuos tiene sentido, según lo reportado por Lyu et al (2021), donde las técnicas de ruteo pueden combinar la simulación discreta por eventos para calcular los tiempos entre locales. Por ese motivo, se utiliza herramientas con información georreferenciada, lo que permite obtener las coordenadas de las ubicaciones con mayor precisión.…”
Section: Discussionunclassified
“…Truck platoon planning Investigate truck platoon possibilities and evaluate waiting times [1] ABS Freight operations Evaluate freight-unloading operations [25] Freight pickup and delivery [26] DES DES Multimodal and intermodal transport Analyse multimodal freight-routing system [27] DES Railway network design Avoid collisions [28] ABS Analyse queuing systems of rail network [4] DES…”
Section: Logistics Areas Problems Methodsmentioning
confidence: 99%
“…Furthermore, it allows various levels of complexity in modelling representation. For example, models may be relatively complex intersection-based models that represent route segments [32] or simple two-tier architecture models [33], depending on the purposes of the simulation.…”
Section: Discrete Event Simulationmentioning
confidence: 99%