Diagnosing urban traffic anomalies by integrating geographic knowledge and tensor theory

IF 6 2区 地球科学 Q1 GEOGRAPHY, PHYSICAL
Zilong Zhao, Luliang Tang, Chang Ren, Xue Yang, Zihan Kan, Qingquan Li
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引用次数: 0

Abstract

Urban traffic anomaly diagnosis is crucial for urban road management and smart city construction. Most existing methods perform anomaly detection from a data-driven perspective and ignore the uniqu...
通过整合地理知识和张量理论诊断城市交通异常现象
城市交通异常诊断对于城市道路管理和智慧城市建设至关重要。大多数现有的方法都是从数据驱动的角度进行异常检测,而忽略了唯一的…
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来源期刊
CiteScore
11.20
自引率
9.00%
发文量
84
审稿时长
6 months
期刊介绍: GIScience & Remote Sensing publishes original, peer-reviewed articles associated with geographic information systems (GIS), remote sensing of the environment (including digital image processing), geocomputation, spatial data mining, and geographic environmental modelling. Papers reflecting both basic and applied research are published.
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