Design of a road safety and vehicle accident prevention system.

dc.contributor.author Opolot, Solomon
dc.date.accessioned 2023-09-25T08:43:23Z
dc.date.available 2023-09-25T08:43:23Z
dc.date.issued 2023-09-13
dc.description A research report submitted to the College of Engineering Design and Art in partial fulfillment of the requirement for the award of the degree Bachelor of Science Electrical Engineering of Makerere University. en_US
dc.description.abstract On road, accident is a major issue of concern. Even with all modern developments in the field of vehicle design, road lane and management, accidents still occur all the time. Authentic data about road accidents is not available but still preliminary data indicate that Kampala roads are witnessing higher incidences of road accidents. In today's modern era road and transport has become a central part of every human being. Everyone is a road user in one way or the other. Accidents on roads can be prevented by better understanding of the psychological state of a driver who is in-charge of the wheel and a smart system for accident prevention is an ideal concept for this problem. We came up with the methodology where a comprehensive evaluation of existing road safety systems was conducted to assess their strengths, weaknesses, and limitations. This involved a thorough literature review, analysis of research papers, case studies, and industry reports to gain insights into the current state-of-the-art in road safety and accident prevention. Stakeholder engagement was an integral part of this process, involving discussions with road safety authorities, traffic management departments, and law enforcement agencies like the Uganda police. The feedback and requirements obtained from research papers and stakeholders were carefully documented and formed the basis for the requirements of the proposed system. The selection of sensors was based on the identified requirements, considering factors such as accuracy, cost, reliability, and compatibility with the proposed system. Sensors such as Infrared sensor, alcohol detector, Ultrasonic sensor, Tilt sensor and opto-coupler sensor were evaluated and integrated into the overall system architecture. The establishment of these sensors played a crucial role in providing real-time data and inputs for accurate analysis and decision-making by the driver. To enable the implementation of various safety features and response actions, a programmable system was established as a core component of the road safety and vehicle accident prevention system. This programmable system played a crucial role in processing sensor data, executing control algorithms, and initiating appropriate responses in real-time. To provide essential information to drivers, an LCD was incorporated into the road safety and vehicle accident prevention system. The LCD display served as an intuitive and user-friendly interface, presenting real-time information and alerts in a clear and easily understandable format. We recommend for continuous improvement, public awareness and education, integration with Intelligent Transportation Systems and also collaboration with Government and Regulatory Bodies. Further, the road safety and vehicle accident prevention system represents a significant advancement in leveraging technology to enhance road safety. With its comprehensive approach, real-time monitoring, and responsive mechanisms, the system has the potential to significantly reduce accidents, save lives, and create a safer and more secure transportation environment for all road users. en_US
dc.description.sponsorship Quality Education Consultancy Company Limited Self: Opolot Solomon en_US
dc.identifier.citation Opolot, Solomon. (2023). Design of a road safety and vehicle accident prevention system. en_US
dc.identifier.uri http://hdl.handle.net/20.500.12281/16445
dc.language.iso en en_US
dc.publisher Makerere University en_US
dc.subject Road safety en_US
dc.subject Vehicle accident en_US
dc.subject Accident prevention system en_US
dc.title Design of a road safety and vehicle accident prevention system. en_US
dc.type Thesis en_US
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