With the continuous progress of urban renewal, existing road resources are difficult to meet the new transportation demands. In order to alleviate the widespread traffic congestion issues in urban renewal areas, this paper, based on the improved macroscopic fundamental diagram theory, constructs a regional traffic flow analysis model. By analyzing the operational characteristics and optimal capacity of the road network in the control area, a boundary control algorithm for urban renewal areas is proposed. The algorithm is evaluated through dynamic traffic simulations using SUMO. The study takes the Xiaozhai commercial area in Xi'an as a case study, validating the feasibility and effectiveness of the boundary control algorithm. The results indicate that the improved macroscopic fundamental diagram can effectively describe the traffic conditions and flow relationships in urban renewal areas. The boundary control algorithm can maintain the cumulative number of vehicles in the region near the optimal level. The service levels of intersections and roads in the controlled area significantly improved, with a 13.22% reduction in average travel delay, an 11.64% increase in average travel speed, and an overall enhancement in regional traffic operation efficiency. The findings of this research can provide technical support for traffic management in urban renewal areas.
Research on dynamic flow control method for urban renewal area boundary based on macroscopic fundamental diagram
International Conference on Smart Transportation and City Engineering (STCE 2024) ; 2024 ; Chongqing, China
Proc. SPIE ; 13575
2025-04-28
Conference paper
Electronic Resource
English
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