Traffic Multiresolution Modeling and Consistency Analysis of Urban Expressway Based on Asynchronous Integration Strategy. (20th December 2017)

• Record Type: Journal Article
• Authors: Zhang, Liyan; Ma, Jian; Ran, Bin; Yan, Lixin
• Other Names: Hong Jing-song Academic Editor.
• Is Part Of: Modelling and simulation in engineering. Volume 2017(2017)
• Publication Date: 2017-12-20
• Subjects: Engineering -- Simulation methods -- Periodicals; Engineering -- Mathematical models -- Periodicals; 620.004
• DOI: 10.1155/2017/3694791
• Languages: English
• ISSNs: 1687-5591

Abstract

Abstract : The paper studies multiresolution traffic flow simulation model of urban expressway. Firstly, compared with two-level hybrid model, three-level multiresolution hybrid model has been chosen. Then, multiresolution simulation framework and integration strategies are introduced. Thirdly, the paper proposes an urban expressway multiresolution traffic simulation model by asynchronous integration strategy based on Set Theory, which includes three submodels: macromodel, mesomodel, and micromodel. After that, the applicable conditions and derivation process of the three submodels are discussed in detail. In addition, in order to simulate and evaluate the multiresolution model, "simple simulation scenario" of North-South Elevated Expressway in Shanghai has been established. The simulation results showed the following.( 1 ) Volume-density relationships of three submodels are unanimous with detector data.( 2 ) When traffic density is high, macromodel has a high precision and smaller error and the dispersion of results is smaller. Compared with macromodel, simulation accuracies of micromodel and mesomodel are lower but errors are bigger.( 3 ) Multiresolution model can simulate characteristics of traffic flow, capture traffic wave, and keep the consistency of traffic state transition. Finally, the results showed that the novel multiresolution model can have higher simulation accuracy and it is feasible and effective in the real traffic simulation scenario.