Data-driven Management of Dynamic Public Transport

被引：4
|
作者：
Horazdovsky, Patrik [1 ]
Novotny, Vojtech [1 ]
Svitek, Miroslav [1 ]
机构：
[1] Czech Tech Univ, Fac Transportat Sci, Prague, Czech Republic
来源：
2018 SMART CITY SYMPOSIUM PRAGUE (SCSP) | 2018年
关键词：
Public transport; Smart City; dynamic service; Big Data;
D O I：
10.1109/SCSP.2018.8402665
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The theme of the Fourth Industrial Revolution and Smart City appears increasingly also in transport. The aim of this paper is to provide an approach for evaluation of smart solution in public transport. A solution using combination of dynamic service and the Big Data is described in more detail. This dynamic service is influenced by many parameters and one of them can be the movement of the population. The movement of the population can be monitored through the Big Data.
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收藏
页数：5
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