Analysis of mode choice variables in short-distance intermodal freight transport using an agent-based model

2014 ◽  
Vol 61 ◽  
pp. 100-120 ◽  
Author(s):  
Vasco Reis
Author(s):  
Tamás Máhr ◽  
F. Jordan Srour ◽  
Mathijs de Weerdt ◽  
Rob Zuidwijk

While intermodal freight transport has the potential to introduce efficiency to the transport network,this transport method also suffers from uncertainty at the interface of modes. For example, trucks moving containers to and from a port terminal are often uncertain as to when exactly their container will be released from the ship, from the stack, or from customs. This leads to much difficulty and inefficiency in planning a profitable routing for multiple containers in one day. In this chapter, the authors examine agent-based solutions as a mechanism to handle job arrival uncertainty in the context of a drayage case at the Port of Rotterdam. They compare their agent-based solution approach to a wellknown on-line optimization approach and study the comparative performance of both systems across four scenarios of varying job arrival uncertainty. The chapter concludes that when less than 50% of all jobs are known at the start of the day then an agent-based approach performs competitively with an on-line optimization approach.


2019 ◽  
Vol 151 ◽  
pp. 272-278 ◽  
Author(s):  
Anugrah Ilahi ◽  
Milos Balac ◽  
Aoyong Li ◽  
Kay. W. Axhausen

2001 ◽  
Author(s):  
Minoru Tabata ◽  
Akira Ide ◽  
Nobuoki Eshima ◽  
Kyushu Takagi ◽  
Yasuhiro Takei ◽  
...  

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