Smart collection routing problems: an optimization approach
Given the recent years of ever-growing emphasis on the search for the next efficient, environmentally friendly, and cost-effective waste collection management system. Along with it came the emergence of the Internet of Things (IoT) which allowed the trash bin’s fill-level to be captured and transmit...
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| Format: | Final Year Project (FYP) |
| Language: | English |
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Nanyang Technological University
2022
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| Online Access: | https://hdl.handle.net/10356/157894 |
| _version_ | 1826120534724706304 |
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| author | Tan, Nicklaus Jun Wei |
| author2 | Huang Shell Ying |
| author_facet | Huang Shell Ying Tan, Nicklaus Jun Wei |
| author_sort | Tan, Nicklaus Jun Wei |
| collection | NTU |
| description | Given the recent years of ever-growing emphasis on the search for the next efficient, environmentally friendly, and cost-effective waste collection management system. Along with it came the emergence of the Internet of Things (IoT) which allowed the trash bin’s fill-level to be captured and transmitted to the cloud. Hence, a three-phase heuristic data routing model was developed to bring improvements over the traditional blind collection. The final evaluation indicates that: 1) the suitable approaches for different bin fill-level increment scenarios; 2) the improvements in terms of total route distance and total vehicles required; 3) the trade-offs are given a certain approach. |
| first_indexed | 2024-10-01T05:18:02Z |
| format | Final Year Project (FYP) |
| id | ntu-10356/157894 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T05:18:02Z |
| publishDate | 2022 |
| publisher | Nanyang Technological University |
| record_format | dspace |
| spelling | ntu-10356/1578942022-05-26T05:15:08Z Smart collection routing problems: an optimization approach Tan, Nicklaus Jun Wei Huang Shell Ying School of Computer Science and Engineering ASSYHUANG@ntu.edu.sg Engineering::Computer science and engineering::Computer systems organization::Computer system implementation Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence Given the recent years of ever-growing emphasis on the search for the next efficient, environmentally friendly, and cost-effective waste collection management system. Along with it came the emergence of the Internet of Things (IoT) which allowed the trash bin’s fill-level to be captured and transmitted to the cloud. Hence, a three-phase heuristic data routing model was developed to bring improvements over the traditional blind collection. The final evaluation indicates that: 1) the suitable approaches for different bin fill-level increment scenarios; 2) the improvements in terms of total route distance and total vehicles required; 3) the trade-offs are given a certain approach. Bachelor of Engineering (Computer Science) 2022-05-26T05:15:08Z 2022-05-26T05:15:08Z 2021 Final Year Project (FYP) Tan, N. J. W. (2021). Smart collection routing problems: an optimization approach. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/157894 https://hdl.handle.net/10356/157894 en application/pdf Nanyang Technological University |
| spellingShingle | Engineering::Computer science and engineering::Computer systems organization::Computer system implementation Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence Tan, Nicklaus Jun Wei Smart collection routing problems: an optimization approach |
| title | Smart collection routing problems: an optimization approach |
| title_full | Smart collection routing problems: an optimization approach |
| title_fullStr | Smart collection routing problems: an optimization approach |
| title_full_unstemmed | Smart collection routing problems: an optimization approach |
| title_short | Smart collection routing problems: an optimization approach |
| title_sort | smart collection routing problems an optimization approach |
| topic | Engineering::Computer science and engineering::Computer systems organization::Computer system implementation Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence |
| url | https://hdl.handle.net/10356/157894 |
| work_keys_str_mv | AT tannicklausjunwei smartcollectionroutingproblemsanoptimizationapproach |