Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/69518
Full metadata record
DC FieldValueLanguage
dc.contributor.authorRaja Raman Sai Saranya
dc.date.accessioned2017-02-01T03:52:56Z
dc.date.available2017-02-01T03:52:56Z
dc.date.issued2017
dc.identifier.urihttp://hdl.handle.net/10356/69518
dc.description.abstractEveryday huge amount of money is spent for the transportation of goods within a sector like an airport or a factory. Transportation using Automated Guided Vehicles (AGVs) is a good solution for this problem. The efficiency of routing the vehicles within the network, mainly depends on the routing algorithm that is implemented. Hence this project, which is done in collaboration with the ST Engineering group, Singapore, initially focusses on comparing the existing routing algorithms on the basis of the performance related data like computation time, flexibility of design, generic implementation and the cost involved. Then the algorithm which is identified to be the most suitable one for this dissertation is implemented. Following this, the routing algorithm is integrated with the Changi airport network simulation model (created by Mr. Sarveshwar Arunprasad under Prof. Justin Dauwels using VISSIM) using the Component Object Model (COM) interface. Then the functional correctness of the algorithm in providing the shortest path between any source and destination within the airport network is tested. Finally the routing of the vehicle is simulated in the VISSIM network model.en_US
dc.format.extent61 p.en_US
dc.language.isoenen_US
dc.subjectDRNTU::Engineering::Electrical and electronic engineeringen_US
dc.titleSimulation of automated vehicle routing for transportation of goodsen_US
dc.typeThesis
dc.contributor.supervisorJustin Dauwelsen_US
dc.contributor.schoolSchool of Electrical and Electronic Engineeringen_US
dc.description.degreeMaster of Science (Computer Control and Automation)en_US
item.fulltextWith Fulltext-
item.grantfulltextrestricted-
Appears in Collections:EEE Theses
Files in This Item:
File Description SizeFormat 
Raja Raman Sai Saranya.pdf
  Restricted Access
3.43 MBAdobe PDFView/Open

Page view(s) 10

127
checked on Oct 28, 2020

Download(s) 10

14
checked on Oct 28, 2020

Google ScholarTM

Check

Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.