In order to study the conflict relationship between buses and non -motorized vehicles in linear bus stops and the upstream area, two typical linear bus stops in downtown Fuzhou were selected, and drones were used to obtain the trajectory of buses entering the station and non-motor vehicles and extract the actual location of the bus lane change point. Combining the full-information static non-cooperative game with the cellular automata simulation model, exploring the Nash equilibrium value of the conflicting parties, and improving the cellular automata’s lane changing rules, the paper proposes an improved element based on the full -information static non -cooperative game The cellular automata model was used to simulate the traffic flow operation state when the bus occupied the non-motorized lane and stops. Taking the spatial distribution ratio of lane changing points as the verification index, the verification results show that the error between the simulation value and the actual value is less than 8%. It shows that the improved cellular automata simulation model can better reflect the actual operation of traffic flow. Taking the probability of a short-distance bus lane change as an indicator, the simulation results show that the probability of a short-distance bus lane changing is positively correlated with the traffic volume of non-motor vehicles.