基于云计算的潮汐桩智能变位系统车流量阈值及轨道设计

The Traffic Flow Threshold and Track Design of the Tidal Pile Intelligent Displacement System Based on Cloud Computing

摘要: 本文提出基于云计算的潮汐车道潮汐桩变位系统。由k-v关系出发，用密度比评价方法得到的密度比评分值进行交通状况分级，然后计算道路剩余交通能力，道路剩余通行能力为零时，则此时的交通量为所求阈值；分析车的速度和道路情况，根据汽车最大转弯半径可求出潮汐车带移动后的轨迹弧度，再根据实际情况，可以设定出潮汐桩移动的轨迹。当车辆的数量达到设定的阈值时，潮汐桩在安全范围内自动按内置芯片的轨迹移动，不再需要人为控制潮汐桩移动。

Abstract: In this paper, the tidal pile displacement system for tidal lanes based on cloud computing is pro-posed. Starting from the k-v relation, the density ratio score value obtained by the density ratio evaluation method is used to grade the traffic condition, and then the residual traffic capacity of the road is calculated. When the residual traffic capacity of the road is zero, the traffic volume at this time is the threshold value. Based on the analysis of the car’s speed and road conditions, the curve of the track after the tidal car belt moves can be calculated according to the maximum turning radius of the car, and then the track of the tidal pile can be set according to the actual situation. When the number of vehicles reaches the set threshold, the tide pile will automatically follow the trajectory of the built-in chip within the safe range, and no longer need to manually control the tide pile movement.