Optimization of Braking Strategy for Automatic Emergency Braking System in Vehicle-Pedestrian Accidents

Qian, Yubin; Yang, Xin; Xiao, Luo; Zhu, Yican

doi:10.4271/07-12-02-0009

Cited by 2 publications

(1 citation statement)

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“…In the same note, an automatic system is required to ensure the safety of drivers or the passengers of a vehicle, as the alert system may not help if the driver were in panic or emergency situations [7]. Moreover, the aforemention electrical braking systems developed are mostly not automated, thus requiring human interaction to manually press the brake pedal to apply braking force in order to stop the vehicle [8]. Thus, the needs to develop a low cost high effectiveness collision avoidance system that are manageable yet affordable, such as PID controller based collision avoidance system is needed.…”

Section: Introductionmentioning

confidence: 99%

Modelling of PID Speed Control Based Collision Avoidance System

Keong

Jamaludin

Razali

et al. 2020

JMMST

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Nowadays, the vehicle’s accident occurring rate is high in Malaysia especially during the period of festival celebrations. Thus, it is necessary to develop a low cost and high effectiveness collision avoidance system that is affordable for every vehicles. Therefore, this research focus on to design and model a collision avoidance system that can slow down when approaching obstacles. The effectiveness of this collision avoidance system is evaluated based on its effectiveness of slowing down when it is approaching obstacles as well as when there is sudden obstacles appear in front of it. In this research, the collision avoidance system will be tested on a modelling car that is built with robot car chassis. The Arduino Nano is the controller for this system while there are ultrasonic sensor and encoder sensors to detect the obstacle distance and speed of the wheel respectively. The Arduino board will be programmed with PID control algorithm to allow the modelling car to slow down when approaching obstacle and stop before colliding with the obstacles. According to the result obtained, the most suitable PID constants for this collision avoidance system is Kp = 0.7, Ki = 0.7 and Kd = 0.07. The collision avoidance system is sensitive to sudden obstacle as it can stop the modelling car in just 0.3 second when the sensor detect sudden obstacle. To conclude, this collision avoidance system can slow down and prevent the modelling car crashing to the front obstacle while ensuring the safety and comfortable of the passengers.

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Section: Introductionmentioning

confidence: 99%

Modelling of PID Speed Control Based Collision Avoidance System

Keong

Jamaludin

Razali

et al. 2020

JMMST

View full text Add to dashboard Cite

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An Improved AEB Control System Based on Risk Factors with Consideration of Vehicle Stability

Guo,

Zhang

et al. 2024

SAE Technical Paper Series

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<div class="section abstract"><div class="htmlview paragraph">Intelligent vehicle-to-everything connectivity is an important development trend in the automotive industry. Among various active safety systems, Autonomous Emergency Braking (AEB) has garnered widespread attention due to its outstanding performance in reducing traffic accidents. AEB effectively avoids or mitigates vehicle collisions through automatic braking, making it a crucial technology in autonomous driving. However, the majority of current AEB safety models exhibit limitations in braking modes and fail to fully consider the overall vehicle stability during braking. To address these issues, this paper proposes an improved AEB control system based on a risk factor (AERF). The upper-level controller introduces the risk factor (RF) and proposes a multi-stage warning/braking control strategy based on preceding vehicle dynamic characteristics, while also calculating the desired acceleration. Furthermore, a lower-level PID-based controller is designed to track the desired acceleration and compute the corresponding brake master cylinder pressure and throttle opening using an established inverse longitudinal dynamics model. Furthermore, to address vehicle stability during braking, an Anti-lock Braking System (ABS) controller is integrated with the proposed AERF. The effectiveness of the AERF is validated through software co-simulation and hardware-in-the-loop testing (HIL). The results demonstrate that the AERF can maintain a safe braking distance within 2 meters under Euro NCAP standard conditions, with excellent tracking performance of the actual braking deceleration and an error rate below 5%, ensuring a high level of system safety.</div></div>

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Optimization of Braking Strategy for Automatic Emergency Braking System in Vehicle-Pedestrian Accidents

Cited by 2 publications

References 0 publications

Modelling of PID Speed Control Based Collision Avoidance System

Modelling of PID Speed Control Based Collision Avoidance System

An Improved AEB Control System Based on Risk Factors with Consideration of Vehicle Stability

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