Rule-based Situation Inference for Connected Vehicles

被引：3
|
作者：
Abe, Mari [1 ]
Yamamoto, Gaku [1 ]
Miyahira, Tomohiro [1 ]
机构：
[1] IBM Japan Ltd, Tokyo Software & Syst Dev Lab, Chuo Ku, 19-21 Nihonbashi Hakozaki Cho, Tokyo, Japan
来源：
2017 IEEE 2ND INTERNATIONAL CONGRESS ON INTERNET OF THINGS (IEEE ICIOT) | 2017年
关键词：
connected vehicles; rules; collective intelligence; advanced driver assistance system (ADAS);
D O I：
10.1109/IEEE.ICIOT.2017.28
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
This paper describes a method for inferring dynamic situations based on rules applied to carprobes and dynamic events that are sent from connected vehicles in real time. Rules are categorized into four patterns depending on the input and output of cloud services we provide. The proposed service enables users to configure how to convert the collected data into useful information as a kind of collective intelligence.
引用
收藏
页码：159 / 161
页数：3
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