Big Data Analytics and Intelligent Transportation Systems

被引：16
|
作者：
Montoya-Torres, Jairo R. [1 ]
Moreno, Sebastian [1 ]
Guerrero, William J. [1 ]
Mejia, Gonzalo [1 ]
机构：
[1] Univ La Sabana, Grp Invest Sistemas Logist, Fac Ingn, Chia, Colombia
来源：
IFAC PAPERSONLINE | 2021年 / 54卷 / 02期
关键词：
Intelligent Transportation Systems; Big data; Analytics; Review; Architecture;
D O I：
10.1016/j.ifacol.2021.06.025
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
As far as urban population continuously grows, the need of intelligent transport systems becomes more and more relevant to deal with transport needs for both people and cargo. Automated devices for data capture requires the implementation of analytics techniques in order to provide insights for actual decision-making and policy design. The objective of this paper is twofold. Firstly, this paper reviews academic literature about big data analytics for intelligent transportation systems; and secondly builds upon previous works to propose a simple, yet complete, framework for the design of an architecture to deal with big data analytics in Intelligent Transport Systems (ITS). The outputs of this work will be implemented to analyze transport data for a big city in Colombia. Copyright (C) 2021 The Authors.
引用
收藏
页码：216 / 220
页数：5
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