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Advanced emergency braking controller design for pedestrian protection oriented automotive collision avoidance system.

Lie G, Zejian R, Pingshu G, Jing C - ScientificWorldJournal (2014)

Bottom Line: Three typical braking scenarios are defined and the safety situations are assessed by comparing the current distance between the host vehicle and the obstacle with the critical braking distance.To reflect the nonlinear time-varying characteristics and control effect of the longitudinal dynamics, the vehicle longitudinal dynamics model is established in CarSim.Cosimulations utilizing CarSim and Simulink are finally carried out on a CarSim intelligent vehicle model to explore the effectiveness of the proposed controller.

View Article: PubMed Central - PubMed

Affiliation: School of Automotive Engineering, Dalian University of Technology, Dalian 116024, China.

ABSTRACT
Automotive collision avoidance system, which aims to enhance the active safety of the vehicle, has become a hot research topic in recent years. However, most of the current systems ignore the active protection of pedestrian and other vulnerable groups in the transportation system. An advanced emergency braking control system is studied by taking into account the pedestrians and the vehicles. Three typical braking scenarios are defined and the safety situations are assessed by comparing the current distance between the host vehicle and the obstacle with the critical braking distance. To reflect the nonlinear time-varying characteristics and control effect of the longitudinal dynamics, the vehicle longitudinal dynamics model is established in CarSim. Then the braking controller with the structure of upper and lower layers is designed based on sliding mode control and the single neuron PID control when confronting deceleration or emergency braking conditions. Cosimulations utilizing CarSim and Simulink are finally carried out on a CarSim intelligent vehicle model to explore the effectiveness of the proposed controller. Results display that the designed controller has a good response in preventing colliding with the front vehicle or pedestrian.

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Related in: MedlinePlus

The vehicle velocity.
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Related In: Results  -  Collection


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fig7: The vehicle velocity.

Mentions: As shown in Figure 7, the velocity of the host vehicle based on the single neuron PID sliding mode controller declines rapidly when the leading vehicle brakes and slows down to zero at 18 s, while the leading vehicle slows down to zero at 16 s. The velocity of the host vehicle based on standard PID sliding mode controller is slower than that of the single neuron PID sliding mode controller. From Figure 8, it can be known that the relative distance remains unchanged approximately before the leading vehicle brakes absolutely. It decreases continuously when the leading vehicle decelerates. Finally the distance between two vehicles based on single neuron PID sliding mode controller remains 4.78 m until they stop completely, meeting the requirement of the safe distance and ensuring the traffic safety, while this distance based on standard PID sliding mode controller remains 2.88 m, which is in a dangerous situation.


Advanced emergency braking controller design for pedestrian protection oriented automotive collision avoidance system.

Lie G, Zejian R, Pingshu G, Jing C - ScientificWorldJournal (2014)

The vehicle velocity.
© Copyright Policy - open-access
Related In: Results  -  Collection

Show All Figures
getmorefigures.php?uid=PMC4109130&req=5

fig7: The vehicle velocity.
Mentions: As shown in Figure 7, the velocity of the host vehicle based on the single neuron PID sliding mode controller declines rapidly when the leading vehicle brakes and slows down to zero at 18 s, while the leading vehicle slows down to zero at 16 s. The velocity of the host vehicle based on standard PID sliding mode controller is slower than that of the single neuron PID sliding mode controller. From Figure 8, it can be known that the relative distance remains unchanged approximately before the leading vehicle brakes absolutely. It decreases continuously when the leading vehicle decelerates. Finally the distance between two vehicles based on single neuron PID sliding mode controller remains 4.78 m until they stop completely, meeting the requirement of the safe distance and ensuring the traffic safety, while this distance based on standard PID sliding mode controller remains 2.88 m, which is in a dangerous situation.

Bottom Line: Three typical braking scenarios are defined and the safety situations are assessed by comparing the current distance between the host vehicle and the obstacle with the critical braking distance.To reflect the nonlinear time-varying characteristics and control effect of the longitudinal dynamics, the vehicle longitudinal dynamics model is established in CarSim.Cosimulations utilizing CarSim and Simulink are finally carried out on a CarSim intelligent vehicle model to explore the effectiveness of the proposed controller.

View Article: PubMed Central - PubMed

Affiliation: School of Automotive Engineering, Dalian University of Technology, Dalian 116024, China.

ABSTRACT
Automotive collision avoidance system, which aims to enhance the active safety of the vehicle, has become a hot research topic in recent years. However, most of the current systems ignore the active protection of pedestrian and other vulnerable groups in the transportation system. An advanced emergency braking control system is studied by taking into account the pedestrians and the vehicles. Three typical braking scenarios are defined and the safety situations are assessed by comparing the current distance between the host vehicle and the obstacle with the critical braking distance. To reflect the nonlinear time-varying characteristics and control effect of the longitudinal dynamics, the vehicle longitudinal dynamics model is established in CarSim. Then the braking controller with the structure of upper and lower layers is designed based on sliding mode control and the single neuron PID control when confronting deceleration or emergency braking conditions. Cosimulations utilizing CarSim and Simulink are finally carried out on a CarSim intelligent vehicle model to explore the effectiveness of the proposed controller. Results display that the designed controller has a good response in preventing colliding with the front vehicle or pedestrian.

Show MeSH
Related in: MedlinePlus