交通运输安全风险识别与防控机制优化探析

Analysis on the Identification and Prevention Mechanism Optimization of Traffic Safety Risk

摘要

本文聚焦智能技术赋能下的交通运输安全风险识别与防控机制优化，剖析了“感知-分析-预测”的智能识别技术链路及数 据、成本、稳定性等约束条件，指出当前防控机制存在预警实时性不足、决策智能化薄弱、技术与管理协同不畅等短板， 最后提出“多技术融合赋能、全流程精准防控”的优化路线，从构建智能预警与快速响应机制、完善数据驱动决策体系、 建立技术与管理协同机制、健全技术应用保障体系四个维度给出优化策略。研究为提升交通运输安全风险防控的精准性、 协同性与可持续性提供了理论与实践支撑。

Abstract

This study investigates the optimization of transportation safety risk identification and prevention mechanisms through intelligent technology empowerment. It analyzes the "perception-analysis-prediction" intelligent identification technology chain and constraints including data availability, cost efficiency, and system stability. The research identifies current limitations in prevention mechanisms, such as insufficient real-time early warning capabilities, inadequate intelligent decision-making, and poor coordination between technological and managerial systems. The study proposes an optimization strategy of "multi-technology integration empowerment and end-to-end precision prevention," offering four key dimensions: establishing intelligent early warning and rapid response mechanisms, improving data-driven decision-making systems, creating technical-management collaboration frameworks, and enhancing technical application support systems. The findings provide theoretical and practical foundations for enhancing the precision, coordination, and sustainability of transportation safety risk prevention.

关键词

交通运输安全 / 风险识别 / 防控机制优化

Key words

Transportation safety / Risk identification / Optimization of prevention and control mechanisms

参考文献

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