A Literature Review On Multimodal Freight Transportation Planning Under Disruptions

Rosyida, Erly Ekayanti; Santosa, Budi; Pujawan, I Nyoman

doi:10.1088/1757-899x/337/1/012043

Cited by 7 publications

(9 citation statements)

References 27 publications

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“…In addition, through intelligent traffic signals, dynamic rerouting adjusts traffic lights to traffic levels, improving vehicle flow. Further, in rail transport, dynamic rerouting optimizes train timetables for unexpected events like track maintenance or disruptions using railway scheduling and control [18]. Also, dynamic rerouting allows adaptive signalling systems to modify train routes or speeds for safety or efficiency through adaptive signalling systems in railways.…”

Section: Application Of Dynamic Rerouting Among Various Modes Of Tran...mentioning

confidence: 99%

“…Lastly, vessel traffic services in maritime transport utilize dynamic rerouting to guide ships around congested or dangerous regions, guaranteeing safe journeys. Dynamic rerouting manages vessel arrivals and departures in ports during emergencies or changing situations [18]. Finally, dynamic rerouting uses real-time data, powerful algorithms, and communication technology to modify route schedules in all modes of transport quickly.…”

Section: Application Of Dynamic Rerouting Among Various Modes Of Tran...mentioning

confidence: 99%

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Transportation Transformed: A Comprehensive Review of Dynamic Rerouting in Multimodal Networks

Pratap

2024

Preprint

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<p>The emergence of dynamic rerouting in multi-modal transportation networks has emerged as a crucial area in operations research, revolutionizing routine optimization. The review study analyzes multiple research publications on algorithms and techniques related to dynamic rerouting to give a thorough summary of the state of research in this field and provide future suggestions. The research paper explains the importance of dynamic rerouting in modern transportation systems and recognizes its critical role in tackling issues like accidents, traffic congestion, and infrastructure constraints. In addition, the review examines the development of dynamic rerouting techniques by examining several studies to uncover the theoretical foundation, technological developments, and effects of the practices on various forms of transportation. The paper emphasizes the potential of technological advancements such as artificial intelligence, the Internet of Things, and big data in transforming routing efficiencies. Further, the review presents specific difficulties and best practices for each mode of transportation, highlighting the many uses of dynamic rerouting in air, sea, rail, and road transportation. The review also digs deeper into the integration barriers common in multi-modal networks, highlighting successful case studies that overcome these obstacles as well as strategic approaches and regulatory modifications. Lastly, the research paper assesses the impact of dynamic rerouting on urban development, sustainability, and potential directions for future research such as the integration of large language models. The comprehensive literature review incorporates multiple research perspectives to offer significant insights into the efficacy, challenges, and potential future pathways for dynamic rerouting within multi-modal transportation networks.</p>

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Section: Application Of Dynamic Rerouting Among Various Modes Of Tran...mentioning

confidence: 99%

Section: Application Of Dynamic Rerouting Among Various Modes Of Tran...mentioning

confidence: 99%

Transportation Transformed: A Comprehensive Review of Dynamic Rerouting in Multimodal Networks

Pratap

2024

Preprint

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“…Disruptions of freight transport systems can have multiple different forms, causes and severities; affecting node (a terminal, origin or destination), link (railway lines, motorways or inland waterways) and/or network (affecting multiple links/nodes) [5]. Depending on the severity of the disruption, nodes and links can be completely inoperative or operate on lower capacity than without the impact of the disruption.…”

Section: Introductionmentioning

confidence: 99%

Infrastructural, Decisional and Organizational Aspects to Use Mode Shift to Handle Disruptions in Freight Transport: Literature and Expert Survey

Lordieck

Corman

2021

IEEE Open J. Intell. Transp. Syst.

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Freight transport disruptions in recent years caused production shutdowns in the industry, supply shortages and high economic damage around the world. In practice, contingency strategies from transport operators are often weak and disruption management fails to handle the situation sufficiently. Despite availability of data collection, academic optimization approaches, and multiple initiatives for coordinated multimodal management in case of disruptions, there are multiple infrastructural, decisional and organizational issues, which limit their applicability. We study those factors by a literature analysis, and a survey in which we ask practitioners, authorities and academic experts to discuss specific aspect in structured and unstructured form. We summarize some parameters, which can be influenced by strategic, tactical, operational actions, and those others referring to systemic properties; or disruption characteristics, which can only be hedged against. Hereby, we offer a knowledge base to future projects aiming to optimize multimodal management at strategic tactical and operational scope, to counter disruptions in freight transport networks.

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“…In an intermodal transportation network, a discussion about this disruption began to attract many researchers related to the uncertainty. Rosyida et al (2018) classified many previous studies based on the graph theory, the way of disruption conversion, methods (such as metaheuristic, optimization or simulation), and strategies to solve the disruptions. According to Rosyida et al (2018), there is still a need for investigation to know the strategies to anticipate the disruption.…”

Section: Introductionmentioning

confidence: 99%

“…Rosyida et al (2018) classified many previous studies based on the graph theory, the way of disruption conversion, methods (such as metaheuristic, optimization or simulation), and strategies to solve the disruptions. According to Rosyida et al (2018), there is still a need for investigation to know the strategies to anticipate the disruption. The strategies include routing strategies, mode selection, contract selection for book capacity on ships, and other shipping strategies.…”

Section: Introductionmentioning

confidence: 99%

Freight route planning in intermodal transportation network to deal with combinational disruptions

2020

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A Literature Review On Multimodal Freight Transportation Planning Under Disruptions

Cited by 7 publications

References 27 publications

Transportation Transformed: A Comprehensive Review of Dynamic Rerouting in Multimodal Networks

Transportation Transformed: A Comprehensive Review of Dynamic Rerouting in Multimodal Networks

Infrastructural, Decisional and Organizational Aspects to Use Mode Shift to Handle Disruptions in Freight Transport: Literature and Expert Survey

Freight route planning in intermodal transportation network to deal with combinational disruptions

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