Design and Optimization of Urban Interchanges:A Case Study of Xiamen City
The implementation of urban interchanges plays a crucial role in reducing traffic congestion,saving travel time,and ensuring the safety of both people and vehicles.The strategic and well-planned establishment of these interchanges holds immense significance for urban transportation.Focusing on Binhai East Avenue in Xiamen and a comprehensive study on the design and optimization of urban interchanges was conducted.By examining and analyzing the avenue,a design and optimization plan was proposed to construct a symmetrical double loop variant alfalfa leaf shaped interchange.In order to address the issues caused by mainline traffic volume,ramp traffic volume,auxiliary road traffic volume,pedestrians,and non-motorized vehicles,the optimization of traffic organization,urban traffic flow composition,and influencing factors were analized,while also traffic volume prediction was addressed.A future annual traffic volume prediction model based on Long Short-Term Memory(LSTM)was proposed to forecast the traffic volume for the research plan in 2030,2040,and 2050.The research findings demonstrate that the proposed scheme effectively enhances traffic efficiency,improves safety,and alleviates congestion.Furthermore,the traffic flow prediction method exhibits high accuracy and minimal error,surpassing K-Nearest Neighbor(KNN),Auto Regression Integreate Moving Average(ARIMA),and Random Forest(RF)with accuracy improvements of 15.5%,32.2%,and 46.3%respectively.This method proves valuable for accurately predicting interchange traffic volume during the planning year,serving as a valuable reference for urban transportation planning and design.
urban transportation planninginterchange designmain line traffic volumetraffic volume predictionLSTM model
NETL
NSTL
万方数据
