Please use this identifier to cite or link to this item: https://zone.biblio.laurentian.ca/handle/10219/3184
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dc.contributor.authorLei, Bo-
dc.date.accessioned2018-11-08T18:57:00Z-
dc.date.available2018-11-08T18:57:00Z-
dc.date.issued2018-09-04-
dc.identifier.urihttps://zone.biblio.laurentian.ca/handle/10219/3184-
dc.description.abstractThe Dynamic Vehicle Routing Problem (DVRP) is a more complex problem than the traditional Vehicle Routing Problem (VRP) in the combinatorial optimization of operations research. With more degrees of freedom, DVRP introduces new challenges while judging the merit of a given route plan. This thesis utilized the time slice strategy to solve dynamic and deterministic routing problems. Based on Group Role Assignment (GRA) and two different routing methods (Modified Insertion heuristic routing and Modified Composite Pairing Or-opt routing), a new ridesharing system has been designed to provide services in the real world. Simulation results are presented in this thesis. A qualitative comparison has been made to outline the advantages and performance of our solution framework. From the numerical results, the proposed method has a great potential to put into operation in the real world and provides a new transit option for the public.en_CA
dc.language.isoenen_CA
dc.subjectdynamic vehicle routingen_CA
dc.subjectridesharingen_CA
dc.subjectgroup role assignmenten_CA
dc.subjectModified Insertion Heuristic Routingen_CA
dc.subjectModified Pairing Or-opt Routingen_CA
dc.titleUsing group role assignment to solve Dynamic Vehicle Routing Problemen_CA
dc.typeThesisen_CA
dc.description.degreeMaster of Science (MSc) in Computational Scienceen_CA
dc.publisher.grantorLaurentian University of Sudburyen_CA
Appears in Collections:Computational Sciences - Master's theses
Master's Theses

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