2023
DOI: 10.1016/j.sca.2023.100028
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A multi-agent-based real-time truck scheduling model for cross-docking problems with single inbound and outbound doors

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Cited by 1 publication
(1 citation statement)
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“…As for the transport operating by road, a series of ABM applications have focused on presenting a robust model for tackling cross-docking challenges, thereby streamlining logistics operations [21], facilitating simulations to gauge the ramifications of introducing shared bikes and e-scooters on existing travel modalities [22], scrutinizing the effects of automated mobility-on-demand services on the broader public transportation landscape [23], experimenting with the significance of traffic information exchange in ameliorating traffic congestion [24], conducting a comparative analysis between two operational strategies of public transport services, namely fixed-route transit (FRT) and demand-responsive transport (DRT) [25], employing simulations to bolster urban public transport systems, with direct implications for contingency planning [26], attaining cooperation in road networks [27], simulating the diffusion of information between road freight transport agents [28]. Another area of research connected to road transportation is related to the risks associated with this type of transportation.…”
mentioning
confidence: 99%
“…As for the transport operating by road, a series of ABM applications have focused on presenting a robust model for tackling cross-docking challenges, thereby streamlining logistics operations [21], facilitating simulations to gauge the ramifications of introducing shared bikes and e-scooters on existing travel modalities [22], scrutinizing the effects of automated mobility-on-demand services on the broader public transportation landscape [23], experimenting with the significance of traffic information exchange in ameliorating traffic congestion [24], conducting a comparative analysis between two operational strategies of public transport services, namely fixed-route transit (FRT) and demand-responsive transport (DRT) [25], employing simulations to bolster urban public transport systems, with direct implications for contingency planning [26], attaining cooperation in road networks [27], simulating the diffusion of information between road freight transport agents [28]. Another area of research connected to road transportation is related to the risks associated with this type of transportation.…”
mentioning
confidence: 99%