基于物联网的地下停车场车辆引导系统

为提高地下停车场的智能化管理水平，在传统停车场方便改造的原则上，提出一种基于物联网技术的车辆引导系统。该系统采用超声波采集车辆信息，选用Zigbee技术进行数据收发，利用上位机的车辆引导系统将车位检测节点的车位信息和各道岔路口车辆进出区域的车流量进行整合，以充分规避区域局部性拥堵的情况，使驾驶员在车辆最优路径引导下停车结束后步行至电梯的路程最短。实验仿真表明，该系统对车辆进行分级引导，区域车位自选，减少了多车辆涌入造成的拥堵和混乱；能使驾驶员选择最佳停车位，并提供了从入口到最佳停车位的引导路径，改善了现有停车场车辆引导系统智能化程度低的情况，提高了停车场的管理效率。

The Vehicle Guidance System for Underground Parking Lot Based on Internet of Things

To improve the intelligent management level of the underground parking lot, a vehicle guidance system based on the Internet of Things technology is proposed to update the transformation of traditional parking lot conveniently.The system uses ultrasonic to collect vehicle information and uses Zigbee technology to transmit and receive data.The vehicle guidance system of the upper computer integrates the parking space information of the parking space detection node and the traffic flow of the vehicles in and out to avoid regional congestion fully.In this case, the driver walks the shortest way to the elevator after parking under the optimal path guidance.The experimental simulation result shows that the system guides the vehicles hierarchically, staggers parking, and reduces the congestion and chaos caused by the influx of multiple vehicles, which enables the driver to choose the best parking space.The system provides the guiding path from the entrance to the best parking space, and improves the disadvantage that the vehicle guidance system of the parking lot is low in intelligence, and improves the management efficiency of the parking lot.