The paper describes a mathematical model of trade flows between the territories of a region or a country in a transportation network having one or more different types of marine or ground transport. We use the approach of modeling complex communication systems to determine the most probable values of flows in case of incomplete information about the system. Transportation costs between the territories are modeled within the framework of the gravity model. The payment for transportation depends on the distance between regions, the distance is estimated as the shortest way length in a given transportation network or geographical distance. The mathematical formulation of the problem belongs to the class of convex mathematical programming problems and assumes the numerical solution of nonlinear optimization problem with linear constraints. Based on the model, the software is implemented as a cloud service on heterogeneous computing architectures: the simulation module is made on a high-performance server platform, management and visualization modules are produced with IACPaaS cloud platform. Communication between the platforms is established via asynchronous http-queries. For information exchange between the modules the declarative model with JSON format is developed and implemented for the objects considered in the mathematical model which are products, areas and communications. Visualization module allows to present graphically the original and the resulting matrix data and to modify the input parameters of the model interactively. The paper demonstrates the use of software for the simulation of interregional freight traffic of the Russian Far East region based on input data provided by open statistics sources.
[1]
A. S. Kleshchev,et al.
A two-level model of information units with complex structure that correspond to the questioning metaphor
,
2015,
Automatic Documentation and Mathematical Linguistics.
[2]
Leonid Aleksandrovich Fedorischev,et al.
Cloud service for development of virtual interactive environments
,
2014
.
[3]
Alan Wilson,et al.
Entropy in urban and regional modelling
,
1972,
Handbook on Entropy, Complexity and Spatial Dynamics.
[4]
Tschangho John Kim,et al.
Implementation and estimation of a combined model of interregional, multimodal commodity shipments and transportation network flows
,
2005
.
[5]
Elizabeth Chang,et al.
Cloud service selection: State-of-the-art and future research directions
,
2014,
J. Netw. Comput. Appl..
[6]
Raouf Boutaba,et al.
Cloud computing: state-of-the-art and research challenges
,
2010,
Journal of Internet Services and Applications.
[7]
T. J. Kim,et al.
Assessment of economic impacts from unexpected events with an interregional commodity flow and multimodal transportation network model
,
2005
.
[8]
James E. Anderson,et al.
Gravity with Gravitas: A Solution to the Border Puzzle
,
2001
.