城市停车场实时车位获取与分配研究
发布时间：2018-10-22 14:58
【摘要】：以实时获取空余车位和智慧分配车位为目标,基于射频识别技术和地理信息技术开发智慧停车系统原型。采用模糊决策矩阵,定量化驾驶员从当前位置到停车场的驾驶时间、停车费用、停车场至目的地的步行距离和停车场的空余车位数这4个车位分配影响因素的权重;在考虑空余车位有限和实时交通状况的前提下,提出带有4个条件矩阵的车位分配模型,并利用某市道路网、交通状况、停车场等数据在Arc GIS中进行模型实验,实验结果表明,该智慧停车系统具有一定的可行性和实际意义。
[Abstract]:The intelligent parking system prototype is developed based on radio frequency identification (RFID) technology and geographic information technology (GIS), aiming at acquiring free parking spaces and intelligent allocated parking spaces in real time. The fuzzy decision matrix is used to quantify the weight of the factors which affect the driver's driving time from the current position to the parking lot, the parking fee, the walking distance from the parking lot to the destination and the number of spare parking spaces in the parking lot. On the premise of considering the limited free parking spaces and real-time traffic conditions, a parking space allocation model with four condition matrices is proposed, and the model experiments are carried out in Arc GIS using the road network, traffic conditions and parking lot data of a certain city. The experimental results show that, The intelligent parking system has certain feasibility and practical significance.
【作者单位】： 北京大学地球与空间科学学院;
【分类号】：U491.71
，
本文编号：2287485
[Abstract]:The intelligent parking system prototype is developed based on radio frequency identification (RFID) technology and geographic information technology (GIS), aiming at acquiring free parking spaces and intelligent allocated parking spaces in real time. The fuzzy decision matrix is used to quantify the weight of the factors which affect the driver's driving time from the current position to the parking lot, the parking fee, the walking distance from the parking lot to the destination and the number of spare parking spaces in the parking lot. On the premise of considering the limited free parking spaces and real-time traffic conditions, a parking space allocation model with four condition matrices is proposed, and the model experiments are carried out in Arc GIS using the road network, traffic conditions and parking lot data of a certain city. The experimental results show that, The intelligent parking system has certain feasibility and practical significance.
【作者单位】： 北京大学地球与空间科学学院;
【分类号】：U491.71
，
本文编号：2287485
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