Dual level planning method for urban diversion road network design based on environmental impact analysis

Urban diversion road network design is crucial as it addresses the growing concerns of urban traffic congestion and environmental pollution by proposing a method to reduce carbon emissions and improve traffic flow efficiency. To optimize the design of urban road networks, this paper provides an environmental impact analysis perspective and investigates a dual-level planning approach for the design of urban diversion road networks. Initially, an upper-level model is developed with the objective of minimizing carbon emissions, environmental impact, and road network congestion impedance time. Subsequently, a lower-level Logit-type random user equilibrium allocation model is constructed to achieve random allocation. Finally, by modifying the spiral position update method and enhancing the search capability of the whale algorithm, an improved algorithm is employed to solve the model. Experimental results indicate that after applying this method, daily CO2 emissions from the road network remained below 600 kg, and the traffic flow in each section was balanced, demonstrating the feasibility and effectiveness of this new approach.