Control-oriented macroscopic dynamic model in urban traffic network
Feng Xia
Abstract
Feng Xia
Abstract
A control-oriented macroscopic dynamic traffic flow discrete model applicable to the nonlinear,uncertain,fuzzy system of urban traffic network was discussed.According to the principle of decomposition-coordination for large-scale systems,the whole urban traffic network system was divided into three subsystems of urban region,urban expressway and urban region-expressway.The subsystems' macroscopic dynamic models were presented respectively and the relation among the three models was also discussed.Computer simulation with actual Hangzhou traffic flow data shows that the traffic models can accurately express the traffic flow information on urban network preferably and be used for urban traffic control system analysis and design.
OpenAlex reports 2 citations for this work. Citation counts describe recorded attention and do not establish research quality.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
A control-oriented macroscopic dynamic traffic flow discrete model applicable to the nonlinear,uncertain,fuzzy system of urban traffic network was discussed.According to the principle of decomposition-coordination for large-scale systems,the whole urban traffic network system was divided into three subsystems of urban region,urban expressway and urban region-expressway.The subsystems' macroscopic dynamic models were presented respectively and the relation among the three models was also discussed.Computer simulation with actual Hangzhou traffic flow data shows that the traffic models can accurately express the traffic flow information on urban network preferably and be used for urban traffic control system analysis and design.
Key concepts: Traffic flow (computer networking), Urban network, Traffic generation model, Computer science, Microscopic traffic flow model, Relation (database), Traffic congestion reconstruction with Kerner's three-phase theory, Nonlinear system