Big data analytics for smart transportation
The emergence of private cars for hire companies such as Uber and Grab have been disrupting the taxi industry around the world. These affected taxi drivers usually do not have other means of earning a living. Additional competition have brought their incomes down drastically. This impact is also fel...
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| Other Authors: | |
| Format: | Final Year Project (FYP) |
| Language: | English |
| Published: |
2017
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| Online Access: | http://hdl.handle.net/10356/72797 |
| _version_ | 1826126045091201024 |
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| author | Tan, Aaron Zheng-Kai |
| author2 | Li Mo |
| author_facet | Li Mo Tan, Aaron Zheng-Kai |
| author_sort | Tan, Aaron Zheng-Kai |
| collection | NTU |
| description | The emergence of private cars for hire companies such as Uber and Grab have been disrupting the taxi industry around the world. These affected taxi drivers usually do not have other means of earning a living. Additional competition have brought their incomes down drastically. This impact is also felt in Singapore, and this project aims to alleviate this disruption by improving taxi efficiency through taxi ridesharing.
In this project, the taxi ridesharing concept will be discussed, along with its associated quantifiable and non-quantifiable benefits. A simulation system for the concept is proposed, together with its possible real world implementation. Insights gained from this simulation system will be analyzed, as well as applications to achieve efficiency for taxi drivers are explored. |
| first_indexed | 2024-10-01T06:46:18Z |
| format | Final Year Project (FYP) |
| id | ntu-10356/72797 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T06:46:18Z |
| publishDate | 2017 |
| record_format | dspace |
| spelling | ntu-10356/727972023-03-03T20:52:35Z Big data analytics for smart transportation Tan, Aaron Zheng-Kai Li Mo School of Computer Science and Engineering LTA DRNTU::Engineering::Computer science and engineering The emergence of private cars for hire companies such as Uber and Grab have been disrupting the taxi industry around the world. These affected taxi drivers usually do not have other means of earning a living. Additional competition have brought their incomes down drastically. This impact is also felt in Singapore, and this project aims to alleviate this disruption by improving taxi efficiency through taxi ridesharing. In this project, the taxi ridesharing concept will be discussed, along with its associated quantifiable and non-quantifiable benefits. A simulation system for the concept is proposed, together with its possible real world implementation. Insights gained from this simulation system will be analyzed, as well as applications to achieve efficiency for taxi drivers are explored. Bachelor of Engineering (Computer Science) 2017-11-17T11:39:08Z 2017-11-17T11:39:08Z 2017 Final Year Project (FYP) http://hdl.handle.net/10356/72797 en Nanyang Technological University 72 p. application/pdf |
| spellingShingle | DRNTU::Engineering::Computer science and engineering Tan, Aaron Zheng-Kai Big data analytics for smart transportation |
| title | Big data analytics for smart transportation |
| title_full | Big data analytics for smart transportation |
| title_fullStr | Big data analytics for smart transportation |
| title_full_unstemmed | Big data analytics for smart transportation |
| title_short | Big data analytics for smart transportation |
| title_sort | big data analytics for smart transportation |
| topic | DRNTU::Engineering::Computer science and engineering |
| url | http://hdl.handle.net/10356/72797 |
| work_keys_str_mv | AT tanaaronzhengkai bigdataanalyticsforsmarttransportation |