Paper Info
Title
Analyzing multimodal transportation problem and its application to artificial intelligence
Abstract
In recent decades, there has been increased interest among both transportation researchers and practitioners in exploring the application of artificial intelligence (AI) paradigms to address the real-life problems in order to improve the efficiency, safety and environmental compatibility of transportation systems. In this paper, our main interest is to solve transportation problem by considering the multimodal transport systems and then utilize it to solve neural network (NN) problem in AI. The multimodal transportation problem (MMTP) is nothing but a linear programming problem, and so it is easy to solve by any simplex algorithm. To analyze the proposed method, a numerical example is included and solving it we reveal a better impact for analyzing the real-life decision-making problems. Thereafter, we revoke our approach for solving NN problems, which enhances a connection between MMTP and NN problems. Finally, conclusion and future research directions are presented regarding our study.
Year
DOI
Venue
2020
10.1007/s00521-019-04393-5
Neural Computing and Applications
Keywords
DocType
Volume
Transportation problem, Multimodal system, Neural network, Artificial intelligence, Decision-making problem
Journal
32
Issue
ISSN
Citations 
7
0941-0643
3
PageRank 
References 
Authors
0.37
0
3
Name
Order
Citations
PageRank
Gurupada Maity1303.22
Sankar Kumar Roy210414.63
J. L. Verdegay33136319.89