Performance evaluation and profiling of employees
Performance evaluation and profiling of employees is important as it offers valuable insights into efficiency and safety of fleet operators. With a growing concern for road safety, it has become imperative for fleet operators to prioritize safe driving practices among their employees. Evaluat...
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| Other Authors: | |
| Format: | Final Year Project (FYP) |
| Language: | English |
| Published: |
Nanyang Technological University
2023
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10356/171993 |
| _version_ | 1826112530607505408 |
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| author | Teh, Marcus Ming Sheng |
| author2 | Miao Chun Yan |
| author_facet | Miao Chun Yan Teh, Marcus Ming Sheng |
| author_sort | Teh, Marcus Ming Sheng |
| collection | NTU |
| description | Performance evaluation and profiling of employees is important as it offers valuable insights
into efficiency and safety of fleet operators. With a growing concern for road safety, it has
become imperative for fleet operators to prioritize safe driving practices among their
employees.
Evaluating driver performance goes beyond merely punctuality, it delves into driving habits
and styles. Encompassing factors such as speeding, harsh acceleration, harsh deceleration,
harsh cornering, and lane departure.
Such data can be gathered efficiently using additional hardware tools mounted on the
vehicles which will log such occurrences. These data can then be processed and explored to
serve as a foundation for driver profiling, shedding light on individual driving habits and
tendencies.
With such data, models can be created to predict driver grades, allowing the system to learn
the distinctive patterns and characteristics associated with drivers of varying safety levels.
Such models are adaptable and can be continuously improved as more data is collected and
analysed, leading to increasingly accurate profiling. |
| first_indexed | 2024-10-01T03:08:33Z |
| format | Final Year Project (FYP) |
| id | ntu-10356/171993 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T03:08:33Z |
| publishDate | 2023 |
| publisher | Nanyang Technological University |
| record_format | dspace |
| spelling | ntu-10356/1719932023-11-24T15:36:54Z Performance evaluation and profiling of employees Teh, Marcus Ming Sheng Miao Chun Yan School of Computer Science and Engineering Joint NTU-UBC Research Centre of Excellence in Active Living for the Elderly (LILY) Continental-NTU Corporate Lab ASCYMiao@ntu.edu.sg Engineering::Computer science and engineering Performance evaluation and profiling of employees is important as it offers valuable insights into efficiency and safety of fleet operators. With a growing concern for road safety, it has become imperative for fleet operators to prioritize safe driving practices among their employees. Evaluating driver performance goes beyond merely punctuality, it delves into driving habits and styles. Encompassing factors such as speeding, harsh acceleration, harsh deceleration, harsh cornering, and lane departure. Such data can be gathered efficiently using additional hardware tools mounted on the vehicles which will log such occurrences. These data can then be processed and explored to serve as a foundation for driver profiling, shedding light on individual driving habits and tendencies. With such data, models can be created to predict driver grades, allowing the system to learn the distinctive patterns and characteristics associated with drivers of varying safety levels. Such models are adaptable and can be continuously improved as more data is collected and analysed, leading to increasingly accurate profiling. Bachelor of Engineering (Computer Engineering) 2023-11-20T04:57:26Z 2023-11-20T04:57:26Z 2023 Final Year Project (FYP) Teh, M. M. S. (2023). Performance evaluation and profiling of employees. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/171993 https://hdl.handle.net/10356/171993 en SCSE22-1021 application/pdf Nanyang Technological University |
| spellingShingle | Engineering::Computer science and engineering Teh, Marcus Ming Sheng Performance evaluation and profiling of employees |
| title | Performance evaluation and profiling of employees |
| title_full | Performance evaluation and profiling of employees |
| title_fullStr | Performance evaluation and profiling of employees |
| title_full_unstemmed | Performance evaluation and profiling of employees |
| title_short | Performance evaluation and profiling of employees |
| title_sort | performance evaluation and profiling of employees |
| topic | Engineering::Computer science and engineering |
| url | https://hdl.handle.net/10356/171993 |
| work_keys_str_mv | AT tehmarcusmingsheng performanceevaluationandprofilingofemployees |