A Study and Analysis for Calculating the Brake-application Time of AEB Systems Considering the Gradient

Lin, Ming; Yoon, Jaewoo; Kim, Byeong-Woo

doi:10.14257/ijca.2015.8.6.28

Cited by 4 publications

(2 citation statements)

References 4 publications

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“…Previously, the brake-application time in AEB system was determined by the TTC risk index (Lin et al, 2015). It can be defined as the ratio of relative distance, Srel and relative velocity, Vrel as shown in Eq.…”

Section: Experimental Setup and Methodologymentioning

confidence: 99%

Calculating the Brake-Application Time of AEB System by Considering Maximum Deceleration Rate during a Primary Accident in Penang's Urban Road

Rani¹,

Bakar

Hashim³

et al. 2021

JSAEM

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An experimental study of the brake-application time of Autonomous Emergency Braking (AEB) system considering the primary accident in an urban area was proposed. Since the functionality of the brake-application time is varied between manufacturers and models, the brake-application time of AEB system must be verified based on driving behaviour in Malaysia. A primary accident was simulated to acquire vehicle deceleration rate in real condition by driving an ego vehicle at a different set of vehicle speeds. The study is focussed on the urban roads in the north region of West Malaysia, i.e. Penang. As a benchmark in this study, the brake-application time (2.6 s) introduced by Mercedes-Benz in the PRE-SAFE® Brakes technology was referred. A new braking permission time was proposed by calculating a minimum deceleration distance and Time-to-Collison (TTC) confirmation time required to brake based on maximum deceleration when a primary accident was simulated. It was found that the brake-application time recommended for the AEB system, specifically AEB City conveys the real driving condition of Penang when a primary accident happens in the urban area. To have a smooth braking and an optimum braking performance during a primary accident, the Forward Collision Warning (FCW) should be activated at TTC ≤ 4.6 s. The partial braking (PB) should be activated automatically when the TTC is approximately 2.9 s. While the automated full braking (FB) phase should begin when the TTC reaches 1.1 s.

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Section: Experimental Setup and Methodologymentioning

confidence: 99%

Calculating the Brake-Application Time of AEB System by Considering Maximum Deceleration Rate during a Primary Accident in Penang's Urban Road

Rani¹,

Bakar

Hashim³

et al. 2021

JSAEM

View full text Add to dashboard Cite

show abstract

“…On the basis of considering the motion state of the vehicle in front. Lin et al 31 proposed an AEB algorithm considering the road slope to improve the brake performance of slope artificially. Cho and Kim 32 analyzed the performance on a road with a gradient of a forward collision warning system based on vehicle sensors.…”

Section: Introductionmentioning

confidence: 99%

Safety distance model for longitudinal collision avoidance of logistics vehicles considering slope and road adhesion coefficient

Guo

Wang

Lili

et al. 2020

Proceedings of the Institution of Mechanical Engineers, Part D:

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With the acceleration of urbanization process, the country’s strong support for the healthy development of the logistics industry has made urban logistics become a hot topic in recent years. With the increase in the number of logistics vehicles, traffic accidents have become more frequent. Intelligent vehicle collision avoidance system is an important part of advanced safety technology. To increase veracity and practicability of logistics vehicle safety collision avoidance, this paper presents a safety distance model for longitudinal collision avoidance of logistics vehicles considering road slope and road adhesion coefficient. Based on the vehicle kinetic theory, the information of surrounding environment for the vehicle is obtained using environment sensing system adequately, a method is designed to estimate the road slope and road adhesion coefficient. Combined with vehicle dynamics and tire normal force variation, the road slope was estimated. Based on the relationship between slip rate and adhesion coefficient, the Least Square Method is used for multivariate fitting to obtain the relationship between rolling resistance coefficient and road adhesion coefficient, estimate the road adhesion coefficient, and the maximum deceleration of vehicle braking is modified. Therefore, the safety distance model is established. In order to verify the accuracy and effectiveness of the model, three cases are designed for verification: case I is verification of the safety distance model considering the slope factor; case II is verification of the safety distance model considering the road adhesion factor; case III is the safety distance verification considering both the factors of slope and road adhesion coefficient. The result shows that it is necessary to take the factors of road slope and adhesion coefficient into the safety distance model to improve the accuracy of the model.

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Study on Adaptive Cruise Internal Model Control Strategy of Truck

Fan

Chu²,

Wang

2019

Recent Trends in Intelligent Computing, Communication and Devices

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A Study and Analysis for Calculating the Brake-application Time of AEB Systems Considering the Gradient

Cited by 4 publications

References 4 publications

Calculating the Brake-Application Time of AEB System by Considering Maximum Deceleration Rate during a Primary Accident in Penang's Urban Road

Calculating the Brake-Application Time of AEB System by Considering Maximum Deceleration Rate during a Primary Accident in Penang's Urban Road

Safety distance model for longitudinal collision avoidance of logistics vehicles considering slope and road adhesion coefficient

Study on Adaptive Cruise Internal Model Control Strategy of Truck

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