A study of distance sensing for bicycle collision warning system
Amid the pandemic, cycling experienced increased popularity, which led to a spike in bicycle-related accidents. Thus, the government have improved cycling amenities and imposed different sets of speed limits on a bicycle, but it still did not prevent the rising rate of bicycle-related accidents. In...
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| Format: | Final Year Project (FYP) |
| Language: | English |
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Nanyang Technological University
2021
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| Online Access: | https://hdl.handle.net/10356/154521 |
| _version_ | 1811687366187810816 |
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| author | Ong, Min Shun |
| author2 | Marcos |
| author_facet | Marcos Ong, Min Shun |
| author_sort | Ong, Min Shun |
| collection | NTU |
| description | Amid the pandemic, cycling experienced increased popularity, which led to a spike in bicycle-related accidents. Thus, the government have improved cycling amenities and imposed different sets of speed limits on a bicycle, but it still did not prevent the rising rate of bicycle-related accidents. In addition, there was a rise in accidents whereby bicycles were crashing into stationary vehicles on the road.
The objective of this study was to develop an algorithm for a front-mounted collision avoidance warning system for bicycles. The algorithm was developed in C++ language with Arduino IDE. Distance data collected from the light detection and ranging (LIDAR) sensor was used to evaluate possible collision risk using the time to collision (TTC) and relative speed principles. Electronic components provided audible and visual warnings to alert cyclists and pedestrians when a potential collision was detected. Furthermore, the algorithm also provides autonomous braking to alert the cyclist when a risk of collision is detected.
Different cycling scenarios were simulated on two Arduino car prototypes to assess the performance of the proposed system and the algorithm. After which, results collected from the experiments were compared to the real-life bicycle experiment conducted by the author. With the experiments simulated by the Arduino cars, it is proven that the proposed algorithm in this study can prevent a collision by controlling the braking behaviour of the rear bicycle depending on the front cyclist’s actions. |
| first_indexed | 2024-10-01T05:15:10Z |
| format | Final Year Project (FYP) |
| id | ntu-10356/154521 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T05:15:10Z |
| publishDate | 2021 |
| publisher | Nanyang Technological University |
| record_format | dspace |
| spelling | ntu-10356/1545212021-12-28T12:37:48Z A study of distance sensing for bicycle collision warning system Ong, Min Shun Marcos School of Mechanical and Aerospace Engineering marcos@ntu.edu.sg Engineering::Mechanical engineering Amid the pandemic, cycling experienced increased popularity, which led to a spike in bicycle-related accidents. Thus, the government have improved cycling amenities and imposed different sets of speed limits on a bicycle, but it still did not prevent the rising rate of bicycle-related accidents. In addition, there was a rise in accidents whereby bicycles were crashing into stationary vehicles on the road. The objective of this study was to develop an algorithm for a front-mounted collision avoidance warning system for bicycles. The algorithm was developed in C++ language with Arduino IDE. Distance data collected from the light detection and ranging (LIDAR) sensor was used to evaluate possible collision risk using the time to collision (TTC) and relative speed principles. Electronic components provided audible and visual warnings to alert cyclists and pedestrians when a potential collision was detected. Furthermore, the algorithm also provides autonomous braking to alert the cyclist when a risk of collision is detected. Different cycling scenarios were simulated on two Arduino car prototypes to assess the performance of the proposed system and the algorithm. After which, results collected from the experiments were compared to the real-life bicycle experiment conducted by the author. With the experiments simulated by the Arduino cars, it is proven that the proposed algorithm in this study can prevent a collision by controlling the braking behaviour of the rear bicycle depending on the front cyclist’s actions. Bachelor of Engineering (Mechanical Engineering) 2021-12-28T12:37:48Z 2021-12-28T12:37:48Z 2021 Final Year Project (FYP) Ong, M. S. (2021). A study of distance sensing for bicycle collision warning system. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/154521 https://hdl.handle.net/10356/154521 en application/pdf Nanyang Technological University |
| spellingShingle | Engineering::Mechanical engineering Ong, Min Shun A study of distance sensing for bicycle collision warning system |
| title | A study of distance sensing for bicycle collision warning system |
| title_full | A study of distance sensing for bicycle collision warning system |
| title_fullStr | A study of distance sensing for bicycle collision warning system |
| title_full_unstemmed | A study of distance sensing for bicycle collision warning system |
| title_short | A study of distance sensing for bicycle collision warning system |
| title_sort | study of distance sensing for bicycle collision warning system |
| topic | Engineering::Mechanical engineering |
| url | https://hdl.handle.net/10356/154521 |
| work_keys_str_mv | AT ongminshun astudyofdistancesensingforbicyclecollisionwarningsystem AT ongminshun studyofdistancesensingforbicyclecollisionwarningsystem |