焦方源 李薇

摘  要：针对驾驶风险随驾驶心态和路网信息发生变化，而目前个性化智能导航却极其落后的严峻问题，以易受路网信息和驾驶心态影响的驾驶行为过程为研究对象，深入研究了路网状态及驾驶心态与驾驶风险的本质联系，提出了路网信息指标和驾驶风险参数及计算方法;以城乡道路、高速公路相结合的车辆行驶环境为模型，运用逐级动态优化原理，设计了适时路网信息和驾驶心态驱动下驾驶风险逐级动态智能规避机制算法，并运用Matlab仿真平台对驾驶风险参数进行了仿真分析。结果表明，本算法能够根据路网信息和驾驶心态适时分析计算驾驶风险并进行适时线路优化，达到了驾驶风险控制和决策过程智能化目的。

关键词：路况感知;风险规避;智能决策;个性导航;仿真分析

中图分类号：TP399     文献标识码：A

Abstract： Driving risk changes with driving mentality and road network information， while the current personalized intelligent navigation is extremely backward. In view of the problem， this paper takes driving behavior process that is easily affected by road network information and driving mentality as the research object， and conducts in-depth research on road network status and the essential connection between driving mentality and driving risk. It proposes road network information indicators， driving risk parameters and calculation methods. Algorithm of dynamic intelligent avoidance mechanism of driving risk driven by timely road network information and driving mentality is developed， taking vehicle driving environment that combines urban and rural roads and expressways as a model， and using the principle of gradual dynamic optimization. Matlab simulation platform is used to simulate and analyze driving risk parameters. The results show that the algorithm can analyze and calculate driving risks in a timely manner based on road network information and driving mentality， and timely optimize routes， realizing driving risk control and intelligent decision-making process.

Keywords： road condition perception; risk avoidance; intelligent decision-making; personalized navigation; simulation                   analysis

1   引言（Introduction）

推進智慧城市建设是我国社会发展的必然趋势，智能交通是其中极为重要的领域，提高道路利用率和道路交通的安全程度成为迫切需要[1]。国内外学者普遍认为，单纯增加道路设施或限制汽车数量是远远不够的，更重要的是如何更加合理地使用现有的交通设施，同时将现代的高新信息处理技术运用到交通管理中以提高路网的交通性能和安全性能[2]。然而，我国在智能交通领域仍处于亟待发展和提高的阶段，近年来重特大交通事故仍然频繁发生，严重威胁着人民生命和财产安全[3]。驾驶人的……