Extraction and analysis of critical influencing factors of traffic congestion based on discrimated matrix
Xu Bin · Journal of Chang'an University · 2012
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.