Autonomous driving paper index

Advancing Pedestrian Safety through Simulation

2026-07-27 · Periodica Polytechnica Transportation Engineering

autonomous drivingautonomous vehiclesensor fusionperceptioncontrol

One-line summary

This study investigates the role and methodological relevance of simulation-based approaches in transportation safety research, with particular emphasis on their applicability to pedestrian safety.

Engineering notes

Key topics: autonomous driving, autonomous vehicle, sensor fusion, perception, control. See the paper for implementation details and experimental results.

Chinese explanation / 中文解读

中文解读待补充:本站会优先为端到端自动驾驶、BEV感知、3D目标检测、轨迹预测、路径规划、LiDAR感知等高价值论文补充中文说明。

Original abstract

This study investigates the role and methodological relevance of simulation-based approaches in transportation safety research, with particular emphasis on their applicability to pedestrian safety. Through a systematic review of existing simulator studies, we demonstrate that virtual environments, eye-tracking technologies, and agent-based modelling provide controlled experimental conditions for examining distraction effects, perceptual limitations, and pedestrian–vehicle interactions. Previous findings consistently indicate that distractions - most notably mobile phone use - substantially impair pedestrian awareness, hazard perception, and decision-making processes. A key methodological contribution of this work is the assessment of the DYNA4 simulation platform, which, despite its advanced physics-based modelling, sensor fusion capabilities, and hardware-/software-in-the-loop testing environment, has not yet been utilized in pedestrian-focused research. Our analysis highlights that DYNA4's integrated vehicle dynamics and real-time validation framework offer significant potential for investigating pedestrian detection systems, autonomous vehicle behavior, and safety-critical interventions under reproducible and risk-free conditions. The review identifies important research gaps, including the need for simulation-driven analyses of autonomous vehicle–pedestrian communication, cognitive load, demographic variability, and the empirical validation of VR-based behavioral measurements. Expanding the methodological application of simulation tools - particularly DYNA4 - may substantially advance pedestrian protection strategies and contribute to the development of more effective, evidence-based transportation safety solutions.

5.0Engineering value
7.0Research novelty
5.0Business relevance

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