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

Authors(2):

Gawande P.V, Lokhande S.V
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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.

Gawande P.V, Lokhande S.V

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 Print ISSN Online ISSN
2018-03-30 2395-1990 2394-4099
Page(s) Manuscript Number   Publisher
109-113 IJSRSET184824   Technoscience Academy

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.
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