Title: An application of genetic algorithm method for solving patrol manpower deployment problems through fuzzy goal programming in traffic management system: a case study

Authors: Bijay Baran Pal; Debjani Chakraborti; Papun Biswas; Anirban Mukhopadhyay

Addresses: Department of Mathematics, University of Kalyani, Kalyani-741235, West Bengal, India. ' Department of Mathematics, Narula Institute of Technology, Kolkata-700109, West Bengal, India. ' Department of Electrical Engineering, JIS College of Engineering, Kalyani-741235, West Bengal, India. ' Department of Computer Science and Engineering, University of Kalyani, Kalyani-741235, West Bengal, India

Abstract: This article demonstrates a fuzzy goal programming (FGP) approach with the use of genetic algorithm (GA) for proper deployment of patrol manpower to various road-segment areas in urban environment in different shifts of a time period to deterring violation of traffic rules and thereby reducing the accident rates in a traffic control planning horizon. To expound the potential use of the approach, a case example of the city Kolkata, West Bengal, INDIA, is solved.

Keywords: fuzzy goal programming; FGP; genetic algorithms; GAs; membership functions; traffic management; traffic patrols; manpower deployment; patrol manpower; urban environments; shifts; accident rates; traffic control planning; India; traffic rules.

DOI: 10.1504/IJBIC.2012.044930

International Journal of Bio-Inspired Computation, 2012 Vol.4 No.1, pp.47 - 60

Available online: 16 Jan 2012 *

Full-text access for editors Access for subscribers Purchase this article Comment on this article