Advances in Crowd Analysis for Urban Applications Through Urban Event Detection

Kaiser, Mohammed Shamim and Lwin, Khin T. and Mahmud, Mufti and Hajializadeh, Donya and Chaipimonplin, Tawee and Sarhan, Ahmed and Hossain, Mohammed Alamgir (2017) Advances in Crowd Analysis for Urban Applications Through Urban Event Detection. IEEE Transactions on Intelligent Transportation Systems, 19 (10). pp. 3092-3112. ISSN 1558-0016

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Official URL: https://doi.org/10.1109/TITS.2017.2771746

Abstract

The recent expansion of pervasive computing technology has contributed with novel means to pursue human activities in urban space. The urban dynamics unveiled by these means generate an enormous amount of data. These data are mainly endowed by portable and radio-frequency devices, transportation systems, video surveillance, satellites, unmanned aerial vehicles, and social networking services. This has opened a new avenue of opportunities, to understand and predict urban dynamics in detail, and plan various real-time services and applications in response to that. Over the last decade, certain aspects of the crowd, e.g., mobility, sentimental, size estimation and behavioral, have been analyzed in detail and the outcomes have been reported. This paper mainly conducted an extensive survey on various data sources used for different urban applications, the state-of-the-art on urban data generation techniques and associated processing methods in order to demonstrate their merits and capabilities. Then, available open-access crowd data sets for urban event detection are provided along with relevant application programming interfaces. In addition, an outlook on a support system for urban application is provided which fuses data from all the available pervasive technology sources and finally, some open challenges and promising research directions are outlined.

Item Type: Journal Article
Additional Information: © 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Keywords: Crowd mobility and management, Urban sensing, Decision support system, Pervasive technology, Information fusion
Faculty: Faculty of Science & Technology
Depositing User: Dr Khin Lwin
Date Deposited: 04 Jan 2018 14:42
Last Modified: 29 Oct 2018 17:13
URI: http://arro.anglia.ac.uk/id/eprint/702582

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