文章编号：1672-5328（2012）02-0068-07

程国柱¹，刘博通¹，马亚峰²
（1.哈尔滨工业大学交通科学与工程学院，黑龙江 哈尔滨 150090；2.西南交通大学交通运输与物流学院，四川 成都 610031）

摘要：为了准确评价路面破损条件下的道路通行能力，有必要探讨破损路面对道路通行能力的影响。选取路面车辙深度、裂缝率、坑槽宽度和修补率作为破损路面状况的评价指标，给出了基于灰色聚类分析方法的破损路面状况评价方法。应用该方法对调查路段的破损路面状况进行等级划分，并基于不同破损路面状况等级路段调查的交通流参数，分析破损路面对饱和车头时距和平均行程车速的影响。引入破损路面修正系数的概念，得到不同破损路面状况等级对应的路段通行能力修正系数，并给出不同破损路面状况等级对应的城市道路路段通行能力推荐值。

关键词：城市道路；破损路面；通行能力；交通流；修正系数

中图分类号：U491.1⁺14

文献标识码：A

Effect of Poor Pavement Surface Condition on Capacity of Urban Roadway

Cheng Guozhu¹, Liu Botong¹, Ma Yafeng²
(1. School of Transportation Science and Engineering, Harbin Institute of Technology, Harbin Heilongjiang 150090, China;
2. School of Transportation and Logistics, Southwest Jiaotong University, Chengdu Sichuan 610031, China)

Abstract：In order to accurately estimate capacity of urban roadway with poor pavement surface conditions, it is necessary to investigate the effect of poor surface condition on roadway capacity. Using rut depth, cracking ratio, width of crack, and repairing ratio as evaluation indicators, this paper proposes a pavement surface condition evaluation methodology based on Grey Cluster Analysis. By classifying surveyed roadway segments with poor pavement surface condition, the paper analyzes the effect of poor pavement surface condition on saturated headway and average operating speed based on traffic flow parameters under different pavement surface conditions. Finally, using the adjusted coefficient of roadway capacity under different levels of pavement surface conditions, the paper presents the corresponding roadway capacity values.

Keywords：urban roadway; poor pavement surface; capacity; traffic flow; adjusted coefficient