LOCATING HUBS IN TRANSPORT NETWORKS: AN ARTIFICIAL INTELLIGENCE APPROACH

Journal Title: INTERNATIONAL JOURNAL FOR TRAFFIC AND TRANSPORT ENGINEERING - Year 2014, Vol 4, Issue 3

Abstract

Hub facilities serve as switching and transshipment points in transportation and communication networks as well as in logistic systems. Hub networks have an influence on flows on the hub-to-hub links and ensure benefit from economies of scale in inter-hub transportation. The key factors for designing a successful hub-and-spoke network are to determine the optimal number of hubs, to properly locate hubs, and to allocate the non-hubs to the hubs. This paper presents the model to determine the locations of the p-hub facilities in the network and to allocate the non-hubs to the hubs. The problem is solved by the Bee Colony Optimization (BCO) algorithm, and the results are compared with the optimal solutions obtained by CPLEX. The BCO algorithm belongs to the class of stochastic swarm optimization methods. The proposed algorithm is inspired by the foraging habits of bees in the nature. The BCO algorithm was able to obtain the optimal value of objective functions in all test problems. The CPU times required to find the best solutions by the BCO are acceptable.

Authors and Affiliations

Dušan Teodorović, Milica Šelmić, Ivana Vukićević

Keywords

Related Articles

PREDICTION OF BUS TRAVEL TIME USING ARTIFICIAL NEURAL NETWORK

The objective of this study is to apply artificial neural network (ANN) for development of bus travel time prediction model. The bus travel time prediction model was developed to give real time bus arrival information to...

INVESTIGATION OF PERFORMANCE AND LANE UTILIZATION WITHIN A PASSING LANE ON A TWO LANE RURAL HIGHWAY

An investigation into platooning and passing maneuvers within a passing lane section on a rural two-lane, two-way highway was considered in this study. The study site was located on US Highway 287 between the town of Tow...

SPATIAL TRANSIT ACCESSIBILITY MODELING OF INDIAN METROPOLITAN CITY IN GIS ENVIRONMENT

With increase in city size and population in developing country like India, the travel demand is increasing very fast which calls for an efficient and effective transit to fulfill the demand of travelling public. The tra...

THE ACCESSIBILITY ASSESSMENT OF REGIONAL TRANSPORT NETWORK IN THE SOUTH EAST EUROPE

Development of transport infrastructure and establishment of effective transport systems is a prerequisite for the achievement of broad based economic growth which is one of the European and Southeast European major deve...

SAFETY CULTURE ASSESSMENT – OPTIMIZATION OF EXISTING PRACTICE

Improving aviation safety has always been a priority for the aviation industry. While in recent decades the reliability of machinery and computers dramatically improved the reliability of the people and the organizationa...

Download PDF file
  • EP ID EP162991
  • DOI 10.7708/ijtte.2014.4(3).04
  • Views 143
  • Downloads 0

How To Cite

Dušan Teodorović, Milica Šelmić, Ivana Vukićević (2014). LOCATING HUBS IN TRANSPORT NETWORKS: AN ARTIFICIAL INTELLIGENCE APPROACH. INTERNATIONAL JOURNAL FOR TRAFFIC AND TRANSPORT ENGINEERING, 4(3), 286-296. https://europub.co.uk/articles/-A-162991