Intelligent Viaduct Recognition and Driving Altitude Determination using GPS Data
Intelligent Viaduct Recognition and Driving Altitude Determination using GPS Data
复制标题
使用 GPS 数据进行智能高架桥识别和行驶高度确定
DOI：
10.1109/tiv.2017.2737325
复制
发表时间：
2017
影响因子：
8.2
通讯作者：
Shunsuke Kamijo
中科院分区：
文献类型：
--
作者：
Li-Ta Hsu;Yanlei Gu;Shunsuke Kamijo
在高度城市化的城市中，道路网的快速发展需要大量的高架桥来减轻城市公路日益增加的交通负担。不幸的是，由于卫星和接收器之间的信号阻塞，这种道路设计降低了全球定位系统（GPS）导航仪的性能。因此，GPS导航仪很难确定车辆是在街道上行驶还是在高架桥上行驶。误导性的信息可能会使司机感到困惑，并导致他们不规则地驾驶，这在交通繁忙时是危险的。本文提出了一种新的分类算法的基础上，不同的卫星信号和条件，可以观察到在街道上和高架桥的情况下，通过实施动态贝叶斯网络（DBN），以区分驾驶区域的车辆。此外，提出的DBN还可以根据实验结果准确地估计车辆的行驶高度。
The rapid development of road networks in highly urbanized cities requires a substantial number of viaducts to reduce the increasing traffic burden on urban highways. Unfortunately, this road design deteriorates the performance of global positioning system (GPS) navigators due to the signal blockage between satellite and receiver. As a result, it is difficult for GPS navigators to determine whether the vehicle is driving on the street or viaduct. Misleading information could confuse drivers and lead them to drive irregularly, which is dangerous in heavy traffic. This paper proposes a novel classification algorithm based on the fact that different satellite signals and conditions can be observed in the on-street and on-viaduct cases by the implementation of dynamic Bayesian network (DBN) to distinguish the driving area of a vehicle. In addition, the proposed DBN can also accurately estimate the driving altitude of the vehicle according to the experiment results.