Design and fabricate rollover warning device with IoT monitoring system for heavy vehicles

Rosli, Mohammad Akmal (2024) Design and fabricate rollover warning device with IoT monitoring system for heavy vehicles. Project Report. Universiti Teknikal Malaysia Melaka, Melaka, Malaysia. (Submitted)

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Abstract

Among all the types of car accidents, overturned big truck accidents are some of the deadliest. Several things can lead to injuries or deaths among guests. This thesis looks at how rollover warning devices (RWDs) can be made for cars on the road, especially ones with a higher center of gravity and a higher height-to-track-width ratio. The dynamics of a road car are mostly studied by RWD, along with an estimate of how stable the vehicle is when turning instantly. The dynamic winding stability conditions, especially the load transfer ratio (LTR), are used by the RWD to figure out the turnover index number. Digital models were used to build the project, and real data was used to test it.Also, the device is passive and the driver has to do something for it to work. This means that it can only help with slowly building up dangerous moves, like those that happen during ramp manoeuvres. The block model values of the transition index algorithm can be changed and improved with MatLab software. At the same time, the given transition trend warning system was looked at with TruckSim software. This transition index method is based on what other researchers have said about the fastest response time. The MATLAB/Simulink program is used to simulate step steering moves at different speeds in order to find the rollover index. Based on what was found, it can be said that Odenthal's rollover index algorithm creates the fastest rollover index using the car unit's early warning indicator. Finally, as an option to acceleration along the side, In the rollover index method, the modified Odenthal rollover index technique is used along with inputs from the driver for steering and vehicle speed. We showed what the improved Odenthal rollover index algorithm can do by simulating step turning maneuvers at different speeds and loads using the Hardware-in-the-Loop (HIL) simulation in the TruckSim driving simulator and the MATLAB/Simulink software.

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