Typical Pedestrian Accident Scenarios in China and Crash Severity Mitigation by Autonomous Emergency Braking Systems

Chen, Qiang; Lin, Mingzhu; Dai, Bing; Chen, Jiguang

doi:10.4271/2015-01-1464

Cited by 15 publications

(8 citation statements)

References 7 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…For each accident case sampled, this research conduct five-step analysis method 19 for accident causation and reconstruct the accident process with PC-Crash. PC-Crash is a powerful program for the simulation of motor vehicle accidents, covering many different accident situations.…”

Section: Methods and Data Sourcesmentioning

confidence: 99%

AEB effectiveness research methods based on reconstruction results of truth vehicle-to-TW accidents in China

Peng

et al. 2020

Proceedings of the Institution of Mechanical Engineers, Part D:

View full text Add to dashboard Cite

Vehicle-to-TW accidents are one of the largest components of traffic accidents system in China, which always leads to severe accident consequences because the cyclists are vulnerable road users and drive at a high collision velocity. With the development of information and communication technology, automated Emergency Braking (AEB) system has been applied to modern vehicles, which can perform emergency braking automatically in dangerous situations and mitigate the consequence of accident. The purpose of this study is to propose a method to identify the mechanism that affects the effectiveness of AEB functions under real-life vehicle-to-TW traffic accident scenarios with Chinese county characteristics. Through the analysis and reconstruction for the sampling accident case-by-case, the whole process of the accident has been reproduced. The trajectory analysis program determines the accident triggering conditions and then generates the virtual physical parameters of the triggering conditions through the virtual sample generation method based on the initial sample. In parallel, the AEB effectiveness simulation program has been established. Plug in parameters of AEB system generated by the Latin hypercube sampling to the AEB effectiveness simulation program for getting the mechanism that affect the effectiveness of AEB functions. The AEB system parameters generated by Latin hypercube sampling are inserted into the AEB effectiveness simulation program to obtain the mechanism that affects the effectiveness of the AEB function. Under the multi-objective optimization problem of accident avoidance rate, technical cost and occupant comfort, the optimal parameters and multi-objective values of AEB are obtained by the NSGA-II algorithm. These results can adapt to Chinese actual traffic conditions to a certain extent, and provide a reliable basis for the research and development of AEB system in China.

show abstract

Section: Methods and Data Sourcesmentioning

confidence: 99%

AEB effectiveness research methods based on reconstruction results of truth vehicle-to-TW accidents in China

Peng

et al. 2020

Proceedings of the Institution of Mechanical Engineers, Part D:

View full text Add to dashboard Cite

show abstract

“…The accurate decision of the automatic emergency braking system depends on the detection result of the sensor to the target in front, and the information of the target detected in front is fed back to the decision layer, and the decision layer processes the information and executes the corresponding action [7]. Compared with a single sensor, the multi-sensor fusion automatic emergency braking system can give full play to the advantages of each sensor, obtain more accurate information, and make accurate decisions [8]. At present, there are common ways of laser radar and camera fusion, millimeter wave radar and camera fusion [9,10].…”

Section: Principle Of Operation Of Automatic Emergency Braking Systemsmentioning

confidence: 99%

Active safety testing method of longitudinal object based on dual-band device

Ji,

Li,

Shi

et al. 2024

International Conference on Smart Transportation and City Engineering (STCE 2023)

View full text Add to dashboard Cite

With the continuous development of automotive active safety technology and the publication of the China New Car Assessment Programme (C-NCAP) Version 2021, active safety testing of longitudinal targets has received attention from vehicle manufacturers and testing institutes. In this paper, we propose an active safety test method for longitudinal targets based on a dual-band arrangement using an autonomous driving robot, a combined inertial guidance system, a digital pick-up device and a longitudinal target dual-band arrangement device, taking into account the actual road conditions. After practical tests, the feasibility of the method is verified, which has important implications for vehicle manufacturers and testing institutes.

show abstract

“…How the vehicle learns in these scenarios and responds to these low-frequency but fatal malfunctions of major vehicular components would be challenging to the full automation driving system. erefore, the accident reconstruction of traditional vehicles would also be important [76].…”

Section: Action Errormentioning

confidence: 99%

Safety of Autonomous Vehicles

Wang

Zhang

Huang

et al. 2020

Journal of Advanced Transportation

100

View full text Add to dashboard Cite

Autonomous vehicle (AV) is regarded as the ultimate solution to future automotive engineering; however, safety still remains the key challenge for the development and commercialization of the AVs. Therefore, a comprehensive understanding of the development status of AVs and reported accidents is becoming urgent. In this article, the levels of automation are reviewed according to the role of the automated system in the autonomous driving process, which will affect the frequency of the disengagements and accidents when driving in autonomous modes. Additionally, the public on-road AV accident reports are statistically analyzed. The results show that over 3.7 million miles have been tested for AVs by various manufacturers from 2014 to 2018. The AVs are frequently taken over by drivers if they deem necessary, and the disengagement frequency varies significantly from 2 × 10−4 to 3 disengagements per mile for different manufacturers. In addition, 128 accidents in 2014–2018 are studied, and about 63% of the total accidents are caused in autonomous mode. A small fraction of the total accidents (∼6%) is directly related to the AVs, while 94% of the accidents are passively initiated by the other parties, including pedestrians, cyclists, motorcycles, and conventional vehicles. These safety risks identified during on-road testing, represented by disengagements and actual accidents, indicate that the passive accidents which are caused by other road users are the majority. The capability of AVs to alert and avoid safety risks caused by the other parties and to make safe decisions to prevent possible fatal accidents would significantly improve the safety of AVs. Practical applications. This literature review summarizes the safety-related issues for AVs by theoretical analysis of the AV systems and statistical investigation of the disengagement and accident reports for on-road testing, and the findings will help inform future research efforts for AV developments.

show abstract

Typical Pedestrian Accident Scenarios in China and Crash Severity Mitigation by Autonomous Emergency Braking Systems

Cited by 15 publications

References 7 publications

AEB effectiveness research methods based on reconstruction results of truth vehicle-to-TW accidents in China

AEB effectiveness research methods based on reconstruction results of truth vehicle-to-TW accidents in China

Active safety testing method of longitudinal object based on dual-band device

Safety of Autonomous Vehicles

Contact Info

Product

Resources

About