Why Functional Safety in Road Vehicles?

Ross, Hans-Leo

doi:10.1007/978-3-319-33361-8_2

Cited by 5 publications

(3 citation statements)

References 1 publication

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“…While the automotive industry focuses on the test procedure for the safety validation [14] (p. 75), our approach leads to an entire consideration of the development as well as the test procedure. For a modular safety approval, we assume the control of the development process to be mandatory, in particular when it comes to complex functions of an automated vehicle.…”

Section: Methodsmentioning

confidence: 99%

Comparing Different Levels of Technical Systems for a Modular Safety Approval—Why the State of the Art Does Not Dispense with System Tests Yet

Klamann

Winner

2021

Energies

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While systems in the automotive industry have become increasingly complex, the related processes require comprehensive testing to be carried out at lower levels of a system. Nevertheless, the final safety validation is still required to be carried out at the system level by automotive standards like ISO 26262. Using its guidelines for the development of automated vehicles and applying them for field operation tests has been proven to be economically unfeasible. The concept of a modular safety approval provides the opportunity to reduce the testing effort after updates and for a broader set of vehicle variants. In this paper, we present insufficiencies that occur on lower levels of hierarchy compared to the system level. Using a completely new approach, we show that errors arise due to faulty decomposition processes wherein, e.g., functions, test scenarios, risks, or requirements of a system are decomposed to the module level. Thus, we identify three main categories of errors: insufficiently functional architectures, performing the wrong tests, and performing the right tests wrongly. We provide more detailed errors and present examples from the research project UNICARagil. Finally, these findings are taken to define rules for the development and testing of modules to dispense with system tests.

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Section: Methodsmentioning

confidence: 99%

Comparing Different Levels of Technical Systems for a Modular Safety Approval—Why the State of the Art Does Not Dispense with System Tests Yet

Klamann

Winner

2021

Energies

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“…This is not the safety case, which is the system's ability to function or stop working without endangering users or the environment [16]. The treatment of safety as a system characteristic raises questions about its applicability and presents challenges in complex dynamic systems, whereas reliability is typically viewed as a module attribute under defined conditions [34].…”

Section: Integrating Fault Injection Into the Development Life Cycle ...mentioning

confidence: 99%

Automating Fault Test Cases Generation and Execution for Automotive Safety Validation via NLP and HIL Simulation

Amyan,

Abboush,

Knieke

et al. 2024

Sensors

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The complexity and the criticality of automotive electronic implanted systems are steadily advancing and that is especially the case for automotive software development. ISO 26262 describes requirements for the development process to confirm the safety of such complex systems. Among these requirements, fault injection is a reliable technique to assess the effectiveness of safety mechanisms and verify the correct implementation of the safety requirements. However, the method of injecting the fault in the system under test in many cases is still manual and depends on an expert, requiring a high level of knowledge of the system. In complex systems, it consumes time, is difficult to execute, and takes effort, because the testers limit the fault injection experiments and inject the minimum number of possible test cases. Fault injection enables testers to identify and address potential issues with a system under test before they become actual problems. In the automotive industry, failures can have serious hazards. In these systems, it is essential to ensure that the system can operate safely even in the presence of faults. We propose an approach using natural language processing (NLP) technologies to automatically derive the fault test cases from the functional safety requirements (FSRs) and execute them automatically by hardware-in-the-loop (HIL) in real time according to the black-box concept and the ISO 26262 standard. The approach demonstrates effectiveness in automatically identifying fault injection locations and conditions, simplifying the testing process, and providing a scalable solution for various safety-critical systems.

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“…The rapid development of the economy of Uzbekistan creates wide opportunities for transporting goods and passengers by road transport, as well as the complexity of the traffic flow on the country's roads, as a result of which the number of road traffic accidents increases. Most of the traffic accidents occurring on the Kamchik Pass are caused by the increase in the speed of vehicles [10][11][12][13][14][15][16].…”

Section: Introductionmentioning

confidence: 99%

Traffic intensity on roads with big longitudinal slope in mountain conditions

Fayzullayev,

Khakimov,

Rakhmonov

et al. 2023

E3S Web of Conf.

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The instantaneous, average, and critical speeds of vehicles passing through the Kamchik pass were determined in this article. The law of critical speeds of safe movement of the traffic flow has been developed. The research results on determining the speed of movement of vehicles of different categories in mountain conditions are presented. To ensure safety, depending on the speed of the vehicles and the condition of the road surface on the dangerous areas of the mountain road, recommendations are given on the speed limits and road signs to be installed.

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Why Functional Safety in Road Vehicles?

Cited by 5 publications

References 1 publication

Comparing Different Levels of Technical Systems for a Modular Safety Approval—Why the State of the Art Does Not Dispense with System Tests Yet

Comparing Different Levels of Technical Systems for a Modular Safety Approval—Why the State of the Art Does Not Dispense with System Tests Yet

Automating Fault Test Cases Generation and Execution for Automotive Safety Validation via NLP and HIL Simulation

Traffic intensity on roads with big longitudinal slope in mountain conditions

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