Achieving Transport Modal Split Targets at Intermodal Freight Hubs Using a Model Predictive Approach

Detalhes bibliográficos
Autor(a) principal: Nabais, João
Data de Publicação: 2015
Outros Autores: Negenborn, R. R., Carmona Benítez, R. B., Ayala Botto, M.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10400.26/22736
Resumo: The increase of international freight commerce is creating pressure on the existing transport network. Cooperation between the different transport parties (e.g., terminal managers, forwarders and transport providers) is required to increase the network throughput using the same infrastructure. The intermodal hubs are locations where cargo is stored and can switch transport modality while approaching the final destination. Decisions regarding cargo assignment are based on cargo properties. Cargo properties can be fixed (e.g., destination, volume, weight) or time varying (remaining time until due time or goods expiration date). The intermodal hub manager, with access to certain cargo information, can promote cooperation with and among different transport providers that pick up and deliver cargo at the hub. In this paper, cargo evolution at intermodal hubs is modeled based on a mass balance, taking into account hub cargo inflows and outflows, plus an update of the remaining time until cargo due time. Using this model, written in a state-space representation, we propose a model predictive approach to address the Modal Split Aware – Cargo Assignment Problem (MSA–CAP). The MSA–CAP concerns the cargo assignment to the available transport capacity such that the final destination can be reached on time while taking into consideration the transport modality used. The model predictive approach can anticipate cargo peaks at the hub and assigns cargo in advance, following a push of cargo towards the final destination approach. Through the addition of a modal split constraint it is possible to guide the daily cargo assignment to achieve a transport modal split target over a defined period of time. Numerical experiments illustrate the validity of these statements.
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spelling Achieving Transport Modal Split Targets at Intermodal Freight Hubs Using a Model Predictive ApproachThe increase of international freight commerce is creating pressure on the existing transport network. Cooperation between the different transport parties (e.g., terminal managers, forwarders and transport providers) is required to increase the network throughput using the same infrastructure. The intermodal hubs are locations where cargo is stored and can switch transport modality while approaching the final destination. Decisions regarding cargo assignment are based on cargo properties. Cargo properties can be fixed (e.g., destination, volume, weight) or time varying (remaining time until due time or goods expiration date). The intermodal hub manager, with access to certain cargo information, can promote cooperation with and among different transport providers that pick up and deliver cargo at the hub. In this paper, cargo evolution at intermodal hubs is modeled based on a mass balance, taking into account hub cargo inflows and outflows, plus an update of the remaining time until cargo due time. Using this model, written in a state-space representation, we propose a model predictive approach to address the Modal Split Aware – Cargo Assignment Problem (MSA–CAP). The MSA–CAP concerns the cargo assignment to the available transport capacity such that the final destination can be reached on time while taking into consideration the transport modality used. The model predictive approach can anticipate cargo peaks at the hub and assigns cargo in advance, following a push of cargo towards the final destination approach. Through the addition of a modal split constraint it is possible to guide the daily cargo assignment to achieve a transport modal split target over a defined period of time. Numerical experiments illustrate the validity of these statements.Repositório ComumNabais, JoãoNegenborn, R. R.Carmona Benítez, R. B.Ayala Botto, M.2018-05-04T09:48:52Z2015-112015-11-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.26/22736engNabais, J., Negenborn, R. R., Carmona Benítez, R. B. & Ayala Botto, M. (2015). Achieving Transport Modal Split Targets at Intermodal Freight Hubs Using a Model Predictive Approach. Transport Research Part C – Emerging Technologies, 60, pp. 278-297.0968-090Xdoi.org/10.1016/j.trc.2015.09.001metadata only accessinfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2022-12-20T14:33:28ZPortal AgregadorONG
dc.title.none.fl_str_mv Achieving Transport Modal Split Targets at Intermodal Freight Hubs Using a Model Predictive Approach
title Achieving Transport Modal Split Targets at Intermodal Freight Hubs Using a Model Predictive Approach
spellingShingle Achieving Transport Modal Split Targets at Intermodal Freight Hubs Using a Model Predictive Approach
Nabais, João
title_short Achieving Transport Modal Split Targets at Intermodal Freight Hubs Using a Model Predictive Approach
title_full Achieving Transport Modal Split Targets at Intermodal Freight Hubs Using a Model Predictive Approach
title_fullStr Achieving Transport Modal Split Targets at Intermodal Freight Hubs Using a Model Predictive Approach
title_full_unstemmed Achieving Transport Modal Split Targets at Intermodal Freight Hubs Using a Model Predictive Approach
title_sort Achieving Transport Modal Split Targets at Intermodal Freight Hubs Using a Model Predictive Approach
author Nabais, João
author_facet Nabais, João
Negenborn, R. R.
Carmona Benítez, R. B.
Ayala Botto, M.
author_role author
author2 Negenborn, R. R.
Carmona Benítez, R. B.
Ayala Botto, M.
author2_role author
author
author
dc.contributor.none.fl_str_mv Repositório Comum
dc.contributor.author.fl_str_mv Nabais, João
Negenborn, R. R.
Carmona Benítez, R. B.
Ayala Botto, M.
description The increase of international freight commerce is creating pressure on the existing transport network. Cooperation between the different transport parties (e.g., terminal managers, forwarders and transport providers) is required to increase the network throughput using the same infrastructure. The intermodal hubs are locations where cargo is stored and can switch transport modality while approaching the final destination. Decisions regarding cargo assignment are based on cargo properties. Cargo properties can be fixed (e.g., destination, volume, weight) or time varying (remaining time until due time or goods expiration date). The intermodal hub manager, with access to certain cargo information, can promote cooperation with and among different transport providers that pick up and deliver cargo at the hub. In this paper, cargo evolution at intermodal hubs is modeled based on a mass balance, taking into account hub cargo inflows and outflows, plus an update of the remaining time until cargo due time. Using this model, written in a state-space representation, we propose a model predictive approach to address the Modal Split Aware – Cargo Assignment Problem (MSA–CAP). The MSA–CAP concerns the cargo assignment to the available transport capacity such that the final destination can be reached on time while taking into consideration the transport modality used. The model predictive approach can anticipate cargo peaks at the hub and assigns cargo in advance, following a push of cargo towards the final destination approach. Through the addition of a modal split constraint it is possible to guide the daily cargo assignment to achieve a transport modal split target over a defined period of time. Numerical experiments illustrate the validity of these statements.
publishDate 2015
dc.date.none.fl_str_mv 2015-11
2015-11-01T00:00:00Z
2018-05-04T09:48:52Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
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dc.identifier.uri.fl_str_mv http://hdl.handle.net/10400.26/22736
url http://hdl.handle.net/10400.26/22736
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Nabais, J., Negenborn, R. R., Carmona Benítez, R. B. & Ayala Botto, M. (2015). Achieving Transport Modal Split Targets at Intermodal Freight Hubs Using a Model Predictive Approach. Transport Research Part C – Emerging Technologies, 60, pp. 278-297.
0968-090X
doi.org/10.1016/j.trc.2015.09.001
dc.rights.driver.fl_str_mv metadata only access
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rights_invalid_str_mv metadata only access
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