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Development of blind spot system for prime mover truck drivers

Daud, Mohd Danial Afiq (2022) Development of blind spot system for prime mover truck drivers. Project Report. Universiti Teknikal Malaysia Melaka, Melaka, Malaysia. (Submitted)

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Abstract

The number of heavy vehicle accidents in Malaysia due to this situation is troubling. This problem is due to Malaysia's growing population of road users. Furthermore, several sectors of the economy are expanding, resulting in increased demand for all industries in Malaysia. The only way to meet this high demand is to use a heavy vehicle. As a result, highways and narrow roads are often used by heavy vehicles. Due to the large size of heavy vehicles, it is also located in a large blind spot area where significant motor vehicle drivers cannot see other vehicles. However, as for larger vehicles such as lorries, trailers, and buses, the blind spot areas or zones are much larger. Accidents related to blind spot areas are based on the collision type angular/side, side swipe, and squeezed. This study was conducted to determine the prevalence of blind spot issues among Malaysia's rigid and small lorry drivers. Several types of data collection were conducted, which consisted of surveys, on-site measurements, and field experiments. This research aims to assist more experienced drivers in locating additional vehicles in their blind spots. This project also aims to create a framework that will attract users. The findings of this study can be a benchmark for future studies involving other classes of heavy vehicles. However, in terms of the location of blind spots, most drivers perceived that the rear is the blind spot area without knowing that the front and both sides of a truck are also blind spots. The Blind Spot System was developed to ensure driver safety and convenience. The Blind Spot System is comprised of a central hub and four sensor units. The ultrasonic sensor placed on the front and side body senses the obstacles and sends the Arduino MEGA to trigger the system and LED as an output blinks up. The device can identify other vehicles using ultrasound sensors and warn the driver with a buzzer and LED flickering. The sensor units will be placed strategically around the truck in areas known as blind spots or unvisible areas to the driver. While the system is operational, these sensors will continuously transmit sensor data to the hub unit, located in the driver's cabin in the most convenient location. Blind spots created by vehicles or other obstructions will illuminate red, alerting the driver to the presence of something in their path. The LED indicates clear areas will remain turned off. Then the hub unit displays the sensor data's result by LCD. This document will then detail the system's hardware and software design. This paper includes a variety of schematic diagrams, block diagrams, and data flow diagrams. More precisely, the hardware design section will cover power management and printed circuit board design. Following that, the software design section will discuss the logic of the code for the system's two distinct units and how they operate. Next, this document will illustrate and explain the system's housing design and analysis of aerodynamics. Following that, the paper will be detailing the system's testing procedures. This blind-spot warning system makes it easier for the driver to be more cautious in the lane. What distinguishes Blind Spot System is its portability. The trailers that the truck driver hauls are not uniform. Rather than that, they are constantly dropping off and picking up new ones. As a result, sensors cannot be integrated directly into trailers. Blind Spot System addresses this issue by providing portable sensors that can be installed or removed in a matter of minutes, allowing the driver to quickly transfer the sensors from the old trailer to the new trailer.

Item Type: Final Year Project (Project Report)
Uncontrolled Keywords: Driver, vehicles, sensors, sensor, drivers, vehicle, truck, trailers, hardware
Divisions: Library > Final Year Project > FTKMP
Depositing User: Mr Eiisaa Ahyead
Date Deposited: 20 Nov 2023 01:21
Last Modified: 20 Nov 2023 01:21
URI: http://digitalcollection.utem.edu.my/id/eprint/28044

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