Efficiency improvement and analysis of school bus routing using bio-inspired computing and AI method

Authors(2) :-Gawande P.V, Lokhande S.V

In this paper we present an optimization model for bus routing. The School Bus Routing Problem (SBRP) covers the issue of establishing plans to efficiently transport students distributed across a designated area to the relevant schools using defined resources. The model can be applied to a real network, and results are presented. In this work we propose to improve the routing efficiency of bus routing problem using Genetic Algorithm based AI technique. The results will be compared with the existing algorithms in order to improve the overall system efficiency and reduce the delay needed for routing. We plan to test the system in a real time bus environment for result evaluations.

Authors and Affiliations

Gawande P.V
Assistant Professor, Department of EC, PBCOE, Maharashtra, India
Lokhande S.V
M.Tech Student Department of EC, PBCOE, Maharashtra, India

bio-inspired computing, AI method, School Bus Routing Problem , SBRP, SBRP-MLP , travelling salesman period , genetic algorithms

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Publication Details

Published in : Volume 4 | Issue 8 | May-June 2018
Date of Publication : 2018-03-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 109-113
Manuscript Number : IJSRSET184824
Publisher : Technoscience Academy

Print ISSN : 2395-1990, Online ISSN : 2394-4099

Cite This Article :

Gawande P.V, Lokhande S.V, " Efficiency improvement and analysis of school bus routing using bio-inspired computing and AI method, International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 4, Issue 8, pp.109-113, May-June-2018.
Journal URL : http://ijsrset.com/IJSRSET184824

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