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Classification and Evaluation of Driving Behavior Safety Levels: A Driving Simulation Study
IEEE Open Journal of Intelligent Transportation Systems, 2022 The road traffic safety situation is severe worldwide and exploring driving behavior is a research hotspot since it is the main factor causing road accidents.
Kui Yang +3 more
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Cognitive Ergonomics: Driving Safety Engineering Analysis using the SHERPA Method and the HEART Methods Approach [PDF]
E3S Web of Conferences, 2021 One factor driving accident that Human error. To minimize the occurrence of traffic accidents on the toll Suramadu necessary to analyze the driving safety engineering.
Annisa Rullie +3 more
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Adaptive robust FDI attack detection for cyber–physical systems with disturbance
ICT Express, 2023 This paper investigates the problem of attack detection for cyber–physical systems (CPSs) with disturbances, measurement noises, and false data injection (FDI) attacks.
Lu Li, Yong Chen, Meng Li, Yuezhi Liu
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Remote Sensing, 2021 Vehicle density and technological development increase the need for road and pedestrian safety systems. Identifying problems and addressing them through the development of systems to reduce the number of accidents and loss of life is imperative.
Eduard Zadobrischi, Mihai Dimian
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Sensors, 2021 As the technological advancement in the automotive field increases and the complexity of vehicle and infrastructure applications is extremely high, new directions and approaches are needed in this field.
Eduard Zadobrischi +2 more
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Sensors, 2022 Current developments and the need for high-performance devices that provide safe and reliable communications present a future perspective by using visible light as an alternative solution that can substantially improve road and pedestrian safety.
Eduard Zadobrischi
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Research on Safe Following Distance on an Expressway Based on Braking Process Analysis
Applied Sciences, 2023 As an important part of the vehicle active collision avoidance system, improvement of the minimum safe following distance model has aroused the interest of researchers at home and abroad.
Xinye Wu, Shude Fu
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Risk Quantification for Automated Driving Systems in Real-World Driving Scenarios
IEEE Access, 2021 The development of safety validation methods is essential for the safe deployment and operation of Automated Driving Systems (ADSs). One of the goals of safety validation is to prospectively evaluate the risk of an ADS dealing with real-world traffic ...
Erwin de Gelder +5 more
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A Review on Scene Prediction for Automated Driving
Physics, 2022 Towards the aim of mastering level 5, a fully automated vehicle needs to be equipped with sensors for a 360∘ surround perception of the environment. In addition to this, it is required to anticipate plausible evolutions of the traffic scene such that it ...
Anne Stockem Novo +3 more
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Safety, 2017 Dingus and colleagues (Proc. Nat. Acad. Sci. U.S.A. 2016, 113, 2636–2641) reported a crash odds ratio (OR) estimate of 2.2 with a 95% confidence interval (CI) from 1.6 to 3.1 for hand-held cell phone conversation (hereafter, “Talk”) in the SHRP 2 ...
Richard A. Young
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