Abstract
A traffic mix of vehicles and bicycles widely exists on urban roads in China. Not only do bicycles significantly influence the vehicles' speed, but vehicles in different lanes also interfere with each other, which reduces the capacity of the road and seriously disturbs the normal traffic order. Therefore, it is of great interest to develop a model to quantify the impact on vehicle speed under the interference of bicycles and vehicles in adjacent lanes. According to the vehicle stream characteristic in different lanes, the hydrodynamics concept of dynamic viscosity is applied and the Newton inner-friction law is used to model the complex phenomenon of interference among different lanes. With the traffic flow data in typical mixed sections collected by using the video-based traffic flow detection technology, the model is calibrated to explain the velocity characteristic of vehicles in different lanes, of practical significance in studying traffic flow.
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