Model predictive control for a sustainable transport modal split at intermodal container hubs

Nabais, João Lemos; Negenborn, Rudy R.; Botto, Miguel Ayala

doi:10.1109/icnsc.2013.6548805

Cited by 12 publications

(13 citation statements)

References 7 publications

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“…Each terminal inside the seaport is modeled based on cargo quantity conservation and due time updates [5],…”

Section: Modeling Seaportsmentioning

confidence: 99%

“…The cargo assignment problem respecting the cargo due time and destination can be written using an MPC strategy [5] for each control agent at the seaport,…”

Section: A Control Agent For Each Terminalmentioning

confidence: 99%

“…In this paper we consider the performance of a seaport and the terminals within in terms of client satisfaction, that is to say, the capacity to assign all cargo to the hinterland transport network such that the cargo is delivered at the agreed time and at the agreed location to the final client [5]. When terminal T 1 in a seaport is not able, using the transport capacity at its disposal, to assign all cargo towards the hinterland at a given day such that the destination is reached on time the seaport performance is also affected.…”

Section: Introductionmentioning

confidence: 99%

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Setting cooperative relations among terminals at seaports using a multi-agent system

Nabais

Negenborn

Benítez

et al. 2013

16th International IEEE Conference on Intelligent Transportation Systems (ITSC 2013)

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Seaports are gateways between the over sea and the hinterland commerce, where different cargo types are handled at dedicated terminals. Currently, seaports are facing traffic congestion leading to a decrease in its performance. Prior to increase the existing infrastructures in terms of transport capacity between the seaport and the hinterland it is important to improve cooperation among terminals. A multi-agent system to guarantee cooperation among terminals within a seaport is proposed in this paper. A control agent is assigned to each terminal and is responsible for the cargo assignment to the transport capacity at its disposal such that cargo arrives on time at the agreed location. Control agents solve in parallel an optimization problem formulated in accordance to the Model Predictive Control (MPC) strategy. Cooperation among control agents is established using a coordinator agent that updates the transport capacity assigned to each control agent based on the marginal costs provided by all control agents. The proposed framework does not require the exchange of private information and assumes an altruist behavior for all control agents. The proposed approach can perform similarly to a central approach. The framework performance is illustrated with simulation studies considering a seaport composed of 3 container terminals.

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“…Each terminal inside the seaport is modeled based on cargo quantity conservation and due time updates [5],…”

Section: Modeling Seaportsmentioning

confidence: 99%

“…The cargo assignment problem respecting the cargo due time and destination can be written using an MPC strategy [5] for each control agent at the seaport,…”

Section: A Control Agent For Each Terminalmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Setting cooperative relations among terminals at seaports using a multi-agent system

Nabais

Negenborn

Benítez

et al. 2013

16th International IEEE Conference on Intelligent Transportation Systems (ITSC 2013)

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“…The integration of actors and services in synchromodal transport provides more possibilities to handle disruptions [19]. In addition, cooperation between the service providers and the infrastructure managers permits the adoption of corrective actions and the adjustment of schedules and decisions related to mode or route choice when an unforeseen event occurs [20]. Integration of the different actors through the exchange of information is not yet customary.…”

Section: Synchromodal Information Exchangementioning

confidence: 99%

Fostering Sustainable Transportation Operations through Corridor Management: A Simulation Gaming Approach

et al. 2018

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Synchromodality is described as a network of well-synchronised and interconnected transportation modes. One of the most important advantages of synchromodality is the development of a sustainable transportation system. Given the numerous stakeholders and network interdependencies within freight transport corridors, achieving efficient coordination and management is complex. In this paper, we regard information exchange as one of the main enablers of collaboration between the infrastructure managers. We developed a digital single-player simulation game called "Modal Manager" comprising logistic service providers and infrastructure managers. Each player takes over the role of an infrastructure manager who must use information provision as a tool to control flows in a network where various planned and unplanned disruptions occur. We include the game in a session where participants are able to interact with the game and with each other. The first gameplay session with Dutch experts revealed that infrastructure managers perceive synchromodality as a way to cope with disruptions more efficiently. On the other hand, the concept of synchromodal corridor management is ambiguous and various legal and governance barriers exist that hinder its implementation.

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“…A failure may cause the in-progress schedule to become suboptimal or even infeasible. Subsequently, corrective actions must be taken, and the resources must be (partially) reallocated (Nabais et al, 2013). The cooperation between intermodal hubs and the transport service providers is also beneficial to accommodate the occurrence of an unforeseen event (Nabais et al, 2015).…”

Section:  Exception Handling and Real-time Switchingmentioning

confidence: 99%

Multimodal Schedule Design for Synchromodal Freight Transport Systems

et al. 2014

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Intermodal freight transport has been discussed for decades as an alternative to unimodal road transport. However, it still does not represent a significant portion of the total freight market. A new and promising possibility to improve the performance of freight systems is the synchromodal design of hinterland transport systems. A cornerstone for synchromodality is an integrated view in the design and operation of intermodal transport. A main benefit of this integrated view is an improved flexibility in mode choice in hinterland transport. This paper gives a detailed description of this integrated view for synchromodal freight transport. Based on this description, a mathematical model for designing service schedules for synchromodal freight transport systems is also presented. The benefits of providing integrated transport services compared to separately planned transport services are also discussed for a case in the hinterland network of the Port of Rotterdam.

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Model predictive control for a sustainable transport modal split at intermodal container hubs

Cited by 12 publications

References 7 publications

Setting cooperative relations among terminals at seaports using a multi-agent system

Setting cooperative relations among terminals at seaports using a multi-agent system

Fostering Sustainable Transportation Operations through Corridor Management: A Simulation Gaming Approach

Multimodal Schedule Design for Synchromodal Freight Transport Systems

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