Self‐organizing traffic control using carrying capacity modelling in adjacent weaving sections

Abstract

Abstract The traffic carrying capacity of the road network is limited. When the limit is exceeded, traffic congestion will restrict the control and development of transportation systems. This paper aims to determine the connotation of traffic carrying capacity in some adjacent weaving sections (AWS) and put forward a novel calculation model for self‐organizing carrying capacity. Firstly, the in‐depth analysis found that each weaving section has a local‐whole and interactive relationship with AWS. Secondly, the self‐organizing critical state of AWS is analyzed by calculating the threshold from slow to congestion. Finally, the Renhe Interchange was used as an experimental object to study the carrying capacity under the self‐organizing critical state of AWS. The VISSIM software and Microsoft Visual Studio 2020‐C# software are employed to verify the model. The self‐organizing critical occupancy rate before the optimization is 38.60%, and the carrying capacity is 7527 pcu/h. After optimization, the self‐organizing critical occupancy rate is 48.70%, and the carrying capacity is 9497 pcu/h. The results show that the model can simulate the carrying capacity of self‐organized criticality. It can also provide a basis for urban managers to maintain the stable development of the system and ensure the overall operation quality of the AWS.