A rear-end collision is a traffic accident wherein a vehicle crashes into the vehicle in front of it, and it happens to be one of the most common types of crashes in the world. This research proposed an improved mechanism that not only computed the deceleration of vehicle due to braking and displayed the braking intensity through an array of light emitting diodes (LED) but also involved monitoring the braking intensity levels using Ultra-Sonic Sensor to calculate distance instead of infrared (IR) transmitter and receiver. The prototype of the system was designed and tested successfully. An advanced reduced instruction set computer (RISC) machine (ARM) Cortex M3 microcontroller which has faster instruction processing time than Cortex M0 microcontroller was interfaced with a LED array to display the braking intensity and an Ultra-Sonic Sensor module used the concept of echolocation for detecting and calculating distance of the object ahead. The time taken for the pulse to be transmitted and received is directly proportional to the distance between the objects. When the following car is in risk of a crash, the system warns the driver the current speed is not safe and helps the driver decelerate or to apply brakes. To take automatically control the motion of the vehicle, a collision avoidance system consisting of a ARM Cortex M3 microcontroller was implemented such that it calculates time gap with parameters like distance of the object and speed of the vehicle and actuates the brake control system in case of drastic situations using controlled area network (CAN) protocol and takes control decisions according to an algorithm designed to handle the situation.
Active safety system model to avoid rear-end vehicle collision using controlled area network (CAN)
2020-05-01
Miscellaneous
Electronic Resource
English
DDC: | 629 |
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