Hyperconnected Transportation Planning: Advancing a Multimodal Relay Ecosystem

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IPIC2024_HyperconnectedTransportationEcosystem_36.pdf (1.83 MB)
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Li, Jingze
Shaikh, Sahrish
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https://hdl.handle.net/1853/75418
 https://doi.org/10.35090/gatech/11069
Abstract
This paper introduces the concept of hyperconnected transportation, drawing inspiration from the Physical Internet, as a sustainable approach to addressing economic, environmental, and social challenges in regional overland transport. It is characterized by three types of connectivities (i.e., shipper-to-network, intra-network, and network-to-carrier connectivity), and incorporates five logistics strategies (i.e., demand aggregation, freight containerization, an interconnected hub network, multimodal transportation, and relay-based transportation). Our study investigated a scenario where a hyperconnected transportation planning platform (HTPP) interfaces with a network of relay hubs to manage bulky goods shipping demands from shippers over time. Unlike conventional systems, the HTPP collaborates with multimodal relay carriers that offer both rail and truck services, optimizing the movement of goods from origins, through hubs, to destinations. We developed a novel Rolling-Horizon Hyperconnected Transportation Planning Framework and a Multimodal Relay Service Network Design optimization model for the HTPP to tactically plan deliveries, with goals to minimize lateness, reduce costs, and decrease emissions. A case study in the Southeastern US automotive delivery sector was conducted to validate the effectiveness of our methodology, considering varying shippers' preferences for delivery velocity, timeliness, and sustainability. We also examined the potential benefits of integrating rail services and clean-powered truck technologies to further improve efficiency, lower costs, and strive towards a zero-emission logistics network. Overall, this research promotes the advancement of a multimodal relay ecosystem by establishing foundational concepts, offering a relevant business model, and proposing a scalable decision-making model to enhance the sustainability and efficiency of regional overland transportation.
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2024-05
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