Key Technology Methods and Practices of Large Scale Urban Mesoscopic Dynamic Traffic Simulation Modeling
Utilizing meso traffic simulation models to conduct large-scale integrated simulations of urban core areas can quantitatively describe,evaluate,and optimize road network characteristics under various traffic conditions.This is crucial for improving road network efficiency,enhancing service levels in urban,and achieving refined urban transportation management.Firstly,the characteristics and usage scenarios of meso traffic simulation models are summarized,and a method is proposed for their construction.Secondly,focusing on this model construction method,a macro and meso model demand alignment method that integrates traffic checkpoint data and a meso model key parameter estimation method based on multi-source data fusion technology are introduced,both supporting the construction of meso traffic simulation models.Finally,taking downtown of Wuhan as an example,the modeling method proposed is validated and verified.The results show that the model simulation is relatively accurate,capable of supporting the quantitative evaluation of various construction plans and management measures.
Traffic simulationUrban trafficMulti-source dataMeso model
NETL
NSTL
万方数据
