Chapter 6. Intermodal Transport

2013 ◽  
pp. 227-268 ◽  
Keyword(s):  
Intermodal Transport

scholarly journals Developing a Prototype Platform To Manage Intelligent Communication Systems in Intermodal Transport

2021 ◽  
Vol 55 ◽  
pp. 1320-1327
Author(s):  
Maria Giuffrida ◽  
Sara Perotti ◽  
Angela Tumino ◽  
Vincenzo Villois
Keyword(s):  
Communication Systems ◽  
Intermodal Transport ◽  
Intelligent Communication

scholarly journals Probabilistic Assessment of Road Risks for Improving Logistics Processes

2018 ◽  
Vol 183 ◽  
pp. 01003 ◽  
Author(s):  
Abdelaziz Lakehal ◽  
Fouad Tachi
Keyword(s):  
Bayesian Network ◽  
Utility Function ◽  
Short Distance ◽  
Road Transport ◽  
Logistic Function ◽  
Probabilistic Assessment ◽  
Influence Diagram ◽  
Intermodal Transport ◽  
Transport Function ◽  
Control Actions

The Intermodal transport represents a solution, which has proved its effectiveness, for the supply of the various logistic platforms. Road transport is also one of the means of transport used in the logistic function and is the most common. This type of transport is especially recommended for medium and short distance journeys. Transport is an important link in the logistical chain. Several constraints accompany this transport function such as: delays, flexibility, diversity of merchandise, and road risks. To identify this last problem of road risk and to minimize its influence, a Bayesian network has been developed in this paper. Through experts’ surveys and research in the literature, the various risks were identified. The structure of the Bayesian network is defined on the basis of this census. The network settings vary from one situation to another. The exploitation of statistics and historical files of the transport company has allowed to define the parameters (probabilities) given in the example studied in this paper. To prevent risks and anticipate failures in the logistics function, while optimizing a utility function, an influence diagram was used. This tool has provided the ability to control actions and make decisions safely. An example of merchandise transport between two port companies has shown promising results and better efficiency in the anticipation of actions.

Analysing the impact of disruptions in intermodal transport networks: A micro simulation-based model

2013 ◽  
Vol 54 (4) ◽  
pp. 1580-1586 ◽  
Author(s):  
Wolfgang Burgholzer ◽  
Gerhard Bauer ◽  
Martin Posset ◽  
Werner Jammernegg
Keyword(s):  
Intermodal Transport ◽  
Transport Networks ◽  
Simulation Based ◽  
Micro Simulation ◽  
The Impact
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