基于AHP的车路协同系统综合测评方法及实证研究
A Comprehensive Evaluation Approach for Vehicle-Infrastructure Cooperation System Using AHP Method

车路协同技术已受到高度关注，并逐步应用于国内外的智能交通系统当中，如何有效评价车路协同系统的安全性、有效性和服务能力势在必行。现有研究主要侧重于车路协同系统的功能性评价，较少考虑人–车–路–云的协同、系统决策控制效果、系统适应性等对评价结果的影响。基于此，本研究首先选取了环境感知和定位精度、通信与传输能力、应用场景功能、决策控制效果和系统适应性5个一级评价指标，构建了车路协同系统的评价指标体系。然后，确定了层次分析和模糊综合评价相结合的方法，搭建了基于多模通信的车路协同系统。最后，开展了车路协同系统的综合测评实证研究，研究结果表明本研究方法能够有效、全面地评价车路协同系统。
The vehicle-infrastructure cooperation system has been widely used and obtained the world-wide attention. Hence, it is imperative to effectively evaluate the safety, effectiveness, and service capability of this system. Existing research mainly focuses on its functional evaluation, and seldom considers the influence of human-vehicle-road-cloud cooperation, decision-making control, and system adaptability on the evaluation result. In this condition, this study selected five first-level evaluation indicators, i.e., environmental perception and positioning accuracy, communication and transmission capability, application scenario, decision-making control effect, and system adaptability. Then, an evaluation index system of vehicle-infrastructure cooperation system was proposed. Next, the method combining AHP and fuzzy comprehensive evaluation was adopted, and a multi-mode communication based vehicle-infrastructure cooperation system was built. Finally, a filed testing using the vehicle-infrastructure cooperation system was implemented, and the study results show that the proposed method can evaluate the vehicle-infrastructure cooperation system effectively and comprehensively.