基于分辨矩阵的交通拥堵关键影响因素提取及解析  

Extraction and analysis of critical influencing factors of traffic congestion based on discrimated matrix

作　　者：许彬[1] 

机构地区：[1]同济大学交通运输工程学院,上海201804

出　　处：《长安大学学报（自然科学版）》2012年第5期91-96,106,共7页Journal of Chang’an University(Natural Science Edition)

基　　金：国家高技术研究发展计划(863计划)资助项目(2007AA11Z245)

摘　　要：为了给规划、建设和管理不同阶段的决策者提供具备整体性和针对性的决策依据,提高决策的实效性,在全面分析提取交通拥堵影响因素集合的基础上,通过类比分析,选取处理多因素且不完备数据的粗糙集理论方法,构建基于分辨矩阵的属性约简算法模型,结合丰富的实测数据验证分析,提取出导致拥堵的关键因素,包括路段长度、路段车道数、区域出行量、出入口数及两端交叉口连接路段通行能力差。分析结果表明:交通供需平衡在交通运行中的关键作用是不容忽视的,应在设施的规划设计和需求的管控方面加强动态调整力度;分析结论对发展程度不同的城市提供确定宏观交通供需配置及微观精细一体化设计重点的理论及数据支撑。In order to provide a holistic and targeted basis for decision making for decision makers at different stages of planning,construction and management and to enhance decision-making efficiency,based on a comprehensive analysis of the factors affecting extraction of traffic congestion,after analogy analysis this paper selected rough set theoretical approach handling multiple factors and incomplete data and built the model on discriminated matrix attribute reduction algorithm.Combined with abundant experimental data analysis,this paper extracted critical influencing factors,including the length of sections,number of lanes,regional travel volume of sections,number of exits and entrances and capacities difference at connection sections of intersection ends.The results indicate the balance between traffic supply and demand in the traffic operation plays a key role,it is necessary to strengthen dynamic control on planning and design of the facilities and the results also provide theory and data support to determine the macroscopic traffic supply and demand allocation and micro integration design for different development levels of cities.

关 键 词：交通工程 粗糙集 区分矩阵 城市路网 因素提取 规则分析 

分 类 号：U491[交通运输工程—交通运输规划与管理]