Title: Recent trends in intelligent transportation systems using big data analysis

Authors: Mahvash Iftikhar Qurashi; Zain Anwar Ali; Muhammad Shafiq; Arsalan Khan Lodhi

Addresses: Computer Engineering Department, Sir Syed University of Engineering and Technology, Karachi, Sindh, Pakistan ' School of Physics and Electronic Engineering, JiaYing University, MeiZhou, China; Electronic Engineering Department, Sir Syed University of Engineering & Technology, Karachi, Sindh, Pakistan ' Electronic Engineering Department, Sir Syed University of Engineering & Technology, Karachi, Sindh, Pakistan ' Computer Engineering Department, Sir Syed University of Engineering and Technology, Karachi, Sindh, Pakistan

Abstract: 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.

Keywords: smart city; intelligent transportation system; AI algorithm; bio-inspired algorithm; computer vision; big data analytics.

DOI: 10.1504/IJCAT.2023.132550

International Journal of Computer Applications in Technology, 2023 Vol.72 No.1, pp.29 - 49

Received: 28 May 2022
Received in revised form: 25 Aug 2022
Accepted: 18 Sep 2022
Published online: 28 Jul 2023 *

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