摘要
为了提高城市实时交通状态评估的准确性,提出基于GPS的实时城市交通状态评估方法。基于GPS定位OD点数据,结合GPS技术,对当前人们出行的OD点进行聚类,以近邻传播算法为核心,提出联合交叉网络下的AP聚类算法,将当前区域交通数据进行有效分割和特征聚类。针对聚类下的GPS数据,构建交通结构分析模型,模型包括GPS数据的预处理、聚类数据出行分割、交通特征向量提取以及根据用户交通方式完成交通状态推测等。通过分析模型,确定当前交通结构状态,最终进行无边界数据拟合和数据修订,确定最终的交通状态评估结果。实验结果表明,所设计的基于GPS的实时城市交通状态评估方法,整体评估准确度更高,具有应用优势性。
In order to improve the accuracy of urban real time traffic condition assessment,a real time urban traffic condition assessment method based on GPS is proposed.Based on GPS positioning OD point data,combined with GPS technology,the current OD points of people travel are clustered,and the AP clustering algorithm under the joint cross network is proposed,which can effectively segment and cluster the current regional traffic data.Aiming at the clustered GPS data,the traffic structure analysis model is constructed.The model includes the pre processing of GPS data,travel segmentation of clustered data,extraction of traffic characteristic vectors and the completion of traffic state estimation according to user's traffic mode.Through the analysis of the model,the current traffic structure state is determined,and the unbounded data fitting and data revision are finally carried out to determine the final traffic state evaluation results.The experimental results show that the real time urban traffic condition assessment method based on GPS has higher accuracy and application advantages.
作者
苏菠
SU Bo(Guangxi Police College,Nanning 530028,China)
出处
《电子设计工程》
2020年第9期117-120,125,共5页
Electronic Design Engineering
