车行指路系统信息连续性分析及量化算法

指路标志信息连续性是驾驶者在复杂路网中顺利出行的保障. 本文以路网指路标志信息系统为研究对象，从宏观、中观、微观3 个层面分析指路系统信息的连续性，提出系统、频度信息项、区域、方位、路径等不同层级的连续性量化指标，利用空间聚类分析识别指路信息项目标地的辐射方位，基于有效路径三原则筛选每个方位的路径集；考虑路径各节点指路信息项的前后承接特征、道路及交通设施条件量化驾驶人心理预期，即节点信息连续度；设计了路网及指路信息项、转向特征等属性的数据存储结构，提出指路系统连续度量化算法，以实现其信息连续性计算. 最后，以重庆市渝中区路网指路信息系统为例，对连续性分析模型及量化算法进行验证.

Analysis and Quantization Algorithm of Information Continuity in Vehicle Guide Sign System

The continuity of guide sign information is the guarantee for the driver to travel to the right direction in complex road network. This paper analyzes the continuity of guiding system information based on the macro, meso and micro levels. The quantitative indicators for different continuous levels are proposed such as system, frequency information items, region, guiding direction, and path. The spatial clustering analysis method is used to identify guiding directions of destinations related to guide information items, and the effective path set in each direction is screened based on three principles. It calculates the continuous degrees of nodes with consideration of driver's psychological expectation constructed by considering the coherence of guiding information items within the front and back adjacent nodes in one path, and conditions of road and traffic facilities. The data structure designed to store guide information items and routes turning characteristics at nodes, and continuous quantization algorithm are developed to calculate the continuity for the network guiding sign system. Finally, taking the guiding sign system in Yuzhong District of Chongqing, China, as an example, the feasibility of continuity analysis model and the quantization algorithm is verified by demonstrated some core steps.