基于冲突复杂度的智能网联车辆在交叉路口的交通安全分析与评价方法研究OA
交叉路口作为城市交通冲突高发区域,智能网联车辆(ICV)通行时进行交通安全风险分析与评价是提升交通安全性与效率的关键.针对传统评价方法研究对象单一、多源数据融合不足的局限性,提出一种基于冲突复杂度的智能网联车辆交叉路口安全风险评价体系.结合交通当量与智能网联技术对交通冲突的影响,构建评价模型,通过冲突复杂度量化交通冲突(含智能网联车辆的冲突干预),并采用交通安全城市分级标准完成评价.以南昌市礼步湖大道与长征西路交叉口为算例验证模型合理性.研究结果可为智能网联车辆决策系统优化及城市交叉路口协同管控提供理论支撑与量化依据.
As a high-incidence area for urban traffic conflicts,intersections are critical for enhancing traffic safety and efficiency through safety risk analysis and evaluation of intelligent connected vehicles(ICVs).Aiming at the limitations of traditional evaluation methods,such as single research object and insufficient multi-source data fusion,a safety risk evaluation system for ICVs at intersections based on conflict complexity is proposed.Combined with traffic equivalent and the impact of intelligent network connection technology on traffic conflicts,an evaluation model is constructed.Traffic conflicts(including conflict intervention of ICVs)are quantified by conflict complexity,and the evaluation is completed by using the traffic safety city classification standard.Taking the intersection of Libuhu Avenue and Changzheng West Road in Nanchang as an example to verify the rationality of the model.The research results can provide theoretical support and quantitative basis for the optimization of ICV decision-making systems and the collaborative management and control of urban intersections.
杨鑫
江西警察学院,南昌 330103
交通工程
智能网联车辆交叉路口安全风险评价冲突复杂度评价方法
intelligent connected vehicleintersectionsafety risk evaluationconflict complexityevaluation method
《科技创新与应用》 2026 (26)
38-41,4
江西省教育厅科学技术研究项目(GJJ2402203)
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