Cooperative Safety Intelligence in V2X-Enabled Transportation: A Survey
Jiaxun Zhang, Qian Xu, Zhenning Li, Chengzhong Xu, Keqiang Li

TL;DR
This survey reviews recent advances in V2X cooperative safety, emphasizing a unified SPD framework that integrates sensing, perception, and decision-making to enhance traffic safety through collective intelligence.
Contribution
It introduces a formal SPD safety loop framework and systematically analyzes research evolution and gaps in V2X safety literature from 2016 to 2025.
Findings
Organizes literature around a formal safety loop model.
Identifies research gaps and evaluation challenges.
Provides a roadmap for future cooperative safety systems.
Abstract
Vehicle-to-Everything (V2X) cooperation is reshaping traffic safety from an ego-centric sensing problem into one of collective intelligence. This survey structures recent progress within a unified Sensor-Perception-Decision (SPD) framework that formalizes how safety emerges from the interaction of distributed sensing, cooperative perception, and coordinated decision-making across vehicles and infrastructure. Rather than centering on link protocols or message formats, we focus on how shared evidence, predictive reasoning, and human-aligned interventions jointly enable proactive risk mitigation. Within this SPD lens, we synthesize advances in cooperative perception, multi-modal forecasting, and risk-aware planning, emphasizing how cross-layer coupling turns isolated detections into calibrated, actionable understanding. Timing, trust, and human factors are identified as cross-cutting…
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Taxonomy
TopicsAutonomous Vehicle Technology and Safety · Vehicular Ad Hoc Networks (VANETs) · Traffic control and management
