In this paper, a method is proposed to evaluate the level of service (LOS) of bicycle lanes under a certain combination of road width, mixing ratio of vehicles, and cyclist characteristics based on user perception and capacity simulation. In this method, the concepts of bicycle lane capacity and the mental space of cyclists are highlighted; evaluation indicators are output through simulation under different traffic flow densities through construction of a space model for user perception and a multi-valued cellular automata model for hybrid bicycle flow, and the evaluation criteria of the level of service is determined through the clustering analysis method; thereafter, based on traffic density of the section under evaluation, the level of service of the lane can be determined. This method is adopted to evaluate the level of service of a bicycle lane in Hangzhou, China. The results show that this method can accurately describe the actual traffic flow state, user perception, and utilization of a road section.
Keywords: Traffic Engineering, Level of Service, Capacity Simulation of Bicycle Lane, Multi-valued Cellular Automata, User Perception
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