考虑驾驶员视觉特性的路段设计通行能力修正方法  

Correction Method of Capacity of Section Design Considering Driver's Visual Characteristic

作　　者：陆建[1] 吴靖[1] 王涛[1] 

机构地区：[1]东南大学江苏省交通规划与管理重点实验室,江苏南京210096

出　　处：《中国公路学报》2010年第2期71-76,共6页China Journal of Highway and Transport

基　　金：国家自然科学基金项目(50708019);霍英东教育基金会优选项目(104010);教育部新世纪优秀人才支持计划项目(NCET-08-0115);江苏省'青蓝工程'基金项目

摘　　要：通过真实道路环境下眼动试验数据处理得到不同的视觉特性参数,运用灰关联熵分析法遴选出与交通流水平关联度较大的3个视觉特性参数,即注视点分布、视角区域分布及平均注视时间,建立路段交通量与驾驶员视觉特性参数的变化关系,并根据驾驶员视觉特性参数变化规律,提出了考虑驾驶员视觉特性参数的路段通行能力修正方法。分析结果表明:交通量未饱和时,驾驶员视觉特性参数变化比较平稳,而当交通量趋于饱和时,视觉特性参数变化剧烈;修正后的路段设计通行能力更加符合实际情况。Authors obtained visual characteristic parameters from experiment in the real road environment. Then, authors employed grey relation entropy analysis to select the visual characteristic parameters that have a high correlation degree with traffic flow. The visual characteristic parameters included gaze fixation distribution, perspective region distribution and mean fixation duration. The relationships between traffic volume at link and driver＇s visual characteristic parameters were established. A correction metho considering driver＇s visual characteristic was presented. The ana d ly of capacity of section design sis results indicate that when the traffic volume is unsaturated, driver＇s visual characteristic parameters change relatively little~ when the traffic volume is saturated, driver＇s visual characteristic parameters change drastically. Design capacity of section after correction agrees well with practice.

关 键 词：交通工程 驾驶员 灰关联熵分析法 通行能力 视觉特性 

分 类 号：U491.254[交通运输工程—交通运输规划与管理]