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Bicycle Accident Prevention using Sensors and Automotive Systems

Looijenga, Wouter (2021) Bicycle Accident Prevention using Sensors and Automotive Systems.

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Abstract:Road safety for bike riders has become more relevant in many countries. An increase in cyclists has been observed since the introduction of the electric bicycle. Even today, bicycles have little or no intelligent systems onboard and relatively little research has been done on such methods. We propose to deliver a literature survey based on the cycling accident causes, available methods and a comparison with systems used on cars. Besides the literature research a simulation is made based on the findings from the literature research. This research is concluded by an evaluation on the found methods, simulation and a detailed consideration on sensors. This paper should provide more insight of what causes bike safety issues, the systems that are currently available, and potentially more sensors that could improve cycling safety. Concluded that sensors in combination with a vehicle-to-vehicle system can contribute to cycling safety.
Item Type:Essay (Bachelor)
Faculty:EEMCS: Electrical Engineering, Mathematics and Computer Science
Subject:50 technical science in general, 54 computer science, 55 traffic technology, transport technology
Programme:Computer Science BSc (56964)
Link to this item:http://purl.utwente.nl/essays/87331
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