A Macro-Micro Model under Mixed Traffic Flow Conditions

Abstract

To simultaneously consider simulation accuracy and efficiency and to acknowledge the prevailing mixed traffics of cars and motorcycles on urban streets, this study proposes a mixed traffic macro-micro model which is able to convert upstream macroscopic traffic flow into downstream microscopic flow with consideration of lateral drifts and transverse crossings of motorcycles by determining the jam density and free flow speed according to car-motorcycle density ratio and lane-changing behaviors on multilane roadways. The proposed model is validated by a field case. The validation results show that the performance and applicability of the proposed model is promising. Additionally, the error rates of simulated motorcycle flows at different lanes are higher than those of simulated car flows. The error rates of traffic flows on inner lanes are lower than those on outer lanes because of the prohibition of motorcycles in traveling on the inner lane.