The structure of the driver behavior model SCM used will be discussed, essential aspects of the stochastically parameterizable driver modeling will be highlighted and essential aspects of the stochastically parameterizable driver modeling will be highlighted.
The energy performance of road vehicles has traditionally been evaluated using driving cycles, in which a prescribed speed profile is tracked either in simulation or by a physical vehicle. Recent research has proposed an alternative framework based on operating conditions, where the driving environment is described in...
Luigi Romano, M. Godio, F. Bruzelius et al.· 0 citations
Advanced Driver Assistance Systems (ADAS) play an increasingly important role in intelligent transportation systems. However, under partial automation conditions, the safety of human–vehicle collaboration is jointly influenced by system perception, driver behavior, vehicle execution, and road environment. Traditional A...
Pedestrian-involved road traffic accidents remain a major road safety concern and require a comprehensive analysis of the interactions within the “driver–vehicle–road–environment” system. Despite the substantial body of research in this field, most existing models rely on predefined parameters and experimental data, wh...
H. Uzunov, Plamen Matzinski, Vasil Uzunov et al.· Symmetry· 0 citations
Before autonomous driving systems can be deployed on public roads, it is vital that these systems comply with safety standards, traffic rules, and social norms. Although neural networks trained on large amounts of driving data perform well in routine driving tasks, these models often struggle in novel situations that a...
Simon Janssen, Michiel Braat, C. van der Ploeg et al.· 0 citations
A hybrid Fuzzy-Safety Model (FSM-H) that integrates longitudinal mitigation and lateral avoidance within a unified behavioral framework is proposed, providing a transparent and explainable human reference model suitable for simulation-based ADS safety benchmarking and regulatory assessment.
As the microscopic foundation of traffic dynamics, driving interactions and behaviors are critical for understanding the operational mechanisms of traffic systems and enabling safe, human-like autonomous driving. However, most existing physics-based driving behavior models are suitable for specific scenarios, and data-...
Jing-Hua Wang, Guang-Quan Lu, Miao-Miao Liu et al.· Accident Analysis and Preven...· 0 citations
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