Datafying city: detecting and accumulating spatio-temporal events by vehicle-mounted sensors

被引：0
|
作者：
Kishino, Yasue [1 ]
Takeuchi, Koh [1 ]
Shirai, Yoshinari [1 ]
Naya, Futoshi [1 ]
Ueda, Naonori [1 ]
机构：
[1] NTT Corp, NTT Commun Sci Labs, Tokyo, Japan
来源：
2017 IEEE INTERNATIONAL CONFERENCE ON BIG DATA (BIG DATA) | 2017年
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The datafication of spatio-temporal city-wide events is one essential factor for smart management of the city. For this purpose, the combination of real-time event detection on edge sensor nodes mounted public vehicles, and event accumulation on a server is one realistic and efficient solution. We can analyze the accumulated data to understand complex phenomena occurring in entire the city. In this paper, we introduce a novel datafication procedure of city-wide events by sensor mounted garbage trucks and evaluated the preliminary implementation of event detection system on actual vehicle-mounted sensors.
引用
收藏
页码：4098 / 4104
页数：7
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