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.
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