Work

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

Year: 2018

Type: article

Abstract: 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.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.21591701

Authors: P.V, Gawande, S.V, Lokhande

Language: English

Topic: Vehicle Routing Optimization Methods

Subfield: Industrial and Manufacturing Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: green

OpenAlex ID: W2904757121

FWCI:

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