Study of traffic improvement planning and design assistant decision making system based on city brain
Yixuan Li, Lin Zhao, Haitao Yu, Randong Xiao, Yajing Zhang, Jiantong Wang · 2023
With the continuous improvement of the city brain, lacking application and exploration in depth of implement scenarios for collection, aggregation and dynamic operation of total factor traffic data in the field of traffic improvement planning has been realized. Taking the key urban scenes as the research object, the paper deeply explores the traffic operation mechanism, establishes an integrated systematic treatment process of "operation monitoring - problem diagnosis - supply and demand analysis - scheme design - effect evaluation", provides all-round perception, analysis and judgment support for urban managers. Taking the Peking University People’s Hospital as an example. A system is established in the paper to perceive total factors of traffic behavior participants, to optimize scheme design by combining traditional improvement measures and information means and to evaluate the improvement scheme through integrated microscopic traffic simulation model The application demonstration rudimental system of "panoramic perception - monographic study - effect evaluation" is established to realize the closed loop of decision-making process systematization, with a view to providing reference of the transformation of traffic improvement planning and design technology system under the information background.