Design of Automatic Emergency Braking Model Based on Critical Distance Measurement and Evaluation
Traffic accident is one of the biggest cause of death around the world. Rear-end collision itself has the second largest amount of occurance after frontal collision in Indonesia. Collision avoidance system in the form of an automatic emergency braking system was developed to reduce the number o...
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| Format: | Final Project |
| Language: | Indonesia |
| Online Access: | https://digilib.itb.ac.id/gdl/view/41702 |
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| Institution: | Institut Teknologi Bandung |
| Language: | Indonesia |
| Summary: | Traffic accident is one of the biggest cause of death around the world. Rear-end
collision itself has the second largest amount of occurance after frontal collision in Indonesia.
Collision avoidance system in the form of an automatic emergency braking system was
developed to reduce the number of road traffic accidents. Car manufacturers around the world
have started to implement the collision avoidance system on the cars they produced.
Meanwhile, the development of the collision avoidance system in Indonesia is minimal. The
design process of the automatic emergency braking model is aimed to help the development
of the collision avoidance system in Indonesia
The testing process will be conducted by using a conservative algorithm and
proportional control. The test will be conducted by varying the proportional constant, the
system delay time parameter, and the deceleration parameter on the algorithm. Based on the
test results, the proportional constant of 35, the system delay of 0.3 seconds, and the
deceleration parameter of 5 m/s
m/s
2
2
, was chosen as the best combination of parameters.
The test has a jerk result of -12.08 and 11.44, with an average decceleration of 5.25
. So it can be concluded that the design process of the automatic emergency braking system
model was successfully carried out and it produced a mechanical and control system model
that was able to simulate the emergency braking process when the relative distance between
vehicles was below the critical braking distance. However, a distance simulation system should
be implemented for further developments, to have a better response result. In addition, the
adaptive control system and the fusion network system of the sensors should also be
implemented to obtain a better measurement with higher reliability.
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