Recent trends in intelligent transportation systems using big data analysis

被引:0
作者
Qurashi, Mahvash Iftikhar [1 ]
Ali, Zain Anwar [2 ,3 ]
Shafiq, Muhammad [3 ]
Lodhi, Arsalan Khan [1 ]
机构
[1] Sir Syed Univ Engn & Technol, Comp Engn Dept, Karachi, Sindh, Pakistan
[2] JiaYing Univ, Sch Phys & Elect Engn, Meizhou, Peoples R China
[3] Sir Syed Univ Engn & Technol, Elect Engn Dept, Karachi, Sindh, Pakistan
关键词
smart city; intelligent transportation system; AI algorithm; bio-inspired algorithm; computer vision; big data analytics; NETWORKS; INTERNET; THINGS;
D O I
10.1504/IJCAT.2023.132550
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Internet of Things (IoT) is the core concept for smart cities. The foremost functionality of IoT is to access the data collected from the shared devices over the communication technologies from the sensors. The data from the various sources are mostly heterogeneous. Big data organises the data and brings efficiency by increasing performance. Big data works on 3Vs (Volume, Velocity, Variety). The massive generation of data refers to Volume, the speediness of data generation refers to Velocity and the generation of data in either structured or unstructured format is Variety. The Intelligent Transportation System is an advanced technology that provides state-of-the-art facilities for different traffic management modes and keeps the users well informed about the safe journey. In this research the recent applications of ITS with different trends like data pre-processing, artificial intelligent algorithms, computer vision, bio-inspired algorithms and future works are discussed.
引用
收藏
页码:29 / 49
页数:22
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