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Using Assurance Cases to Prevent Malicious Behaviour from Targeting Safety Vulnerabilities Read chapter Read first chapter

2023 | OriginalPaper | Chapter

Rear-End Collision Risk Analysis for Autonomous Driving

Authors : Ci Liang, Mohamed Ghazel, Yusheng Ci, Nour-Eddin El Faouzi, Rui Wang, Wei Zheng

Published in: Computer Safety, Reliability, and Security. SAFECOMP 2023 Workshops

Publisher: Springer Nature Switzerland

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Abstract

Since there will be a mix of automated vehicles (AVs) and human-driven vehicles (HVs) on future roadways, in the literature, while many existing studies have investigated collisions where an AV hits an HV from behind, few studies have focused on the scenarios where an HV hits an AV from behind (called HV-AV collision). In this paper, we will investigate the HV-AV collision risk in the Stop-in-Lane (SiL) scenario. To achieve this aim, a Human-like Brake (HLB) model is proposed first to simulate the driver brake control. In particular, the joint distribution of Off-Road-Glance and Time-Headway is originally introduced to simulate the glance distraction of drivers during their dynamic vehicle control. Sequentially, a case study of HV-AV collisions in the SiL scenario of autonomous driving (AD) is conducted based on the HLB model, to reveal how the collision probability changes with respect to various parameters. The results of the case study provide us with an in-depth understanding of the dynamic driving conditions that lead to rear-end collisions in the SiL scenario.

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previous chapter Towards an Effective Generation of Functional Scenarios for AVs to Guide Sampling
next chapter Improving Road Traffic Safety and Performance–Barriers and Directions Towards Cooperative Automated Vehicles
Footnotes
1
The model of the joint probability distribution \(P_{O,T}(t_i)\) as shown in Eq. (5) is developed jointly with an OEM, which approximates the Gamma distribution. However, we do not show the mathematical representation of \(P_{O,T}(t_i)\) due to the confidentiality of the OEM.
 
2
The TH introduced to the HLB model only works when the two cars have the same initial speed.
 
3
The maximum deceleration of a car, in reality, is about 8 m/s2.
 
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Metadata
Title
Rear-End Collision Risk Analysis for Autonomous Driving
Authors
Ci Liang
Mohamed Ghazel
Yusheng Ci
Nour-Eddin El Faouzi
Rui Wang
Wei Zheng
Copyright Year
2023
Book
Computer Safety, Reliability, and Security. SAFECOMP 2023 Workshops

Print ISBN: 978-3-031-40952-3

Electronic ISBN: 978-3-031-40953-0

Copyright Year: 2023

DOI
https://doi.org/10.1007/978-3-031-40953-0_23

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