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Advances in crowd analysis for urban applications through urban event detection

Kaiser, Mohammed Shamim, Lwin, Khin T., Mahmud, Mufti, Hajializadeh, Donya, Chaipimonplin, Tawee, Sarhan, Ahmed and Hossain, Mohammed Alamgir (2018) Advances in crowd analysis for urban applications through urban event detection IEEE Transactions on Intelligent Transportation Systems, 19 (10). pp. 3092-3112.

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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. © 2018 IEEE.

Item Type: Article
Divisions : Faculty of Engineering and Physical Sciences > Civil and Environmental Engineering
Authors :
NameEmailORCID
Kaiser, Mohammed Shamim
Lwin, Khin T.
Mahmud, Mufti
Hajializadeh, Donyad.hajializadeh@surrey.ac.uk
Chaipimonplin, Tawee
Sarhan, Ahmed
Hossain, Mohammed Alamgir
Date : October 2018
DOI : 10.1109/TITS.2017.2771746
Uncontrolled Keywords : benchmark datasets, crowd mobility and management, decision support system, information fusion, pervasive technology, Urban sensing, Antennas, Application programming interfaces (API), Artificial intelligence, Data mining, Decision support systems, Estimation, Frequency estimation, Information fusion, Information services, Radio waves, Security systems, Sensors, Social networking (online), Social sciences computing, Ubiquitous computing, Benchmark datasets, Event detection, Pervasive technologies, Radio frequencies, Social network services, Urban sensing, Video surveillance, Information management
Depositing User : Diane Maxfield
Date Deposited : 25 Mar 2019 12:15
Last Modified : 25 Mar 2019 12:15
URI: http://epubs.surrey.ac.uk/id/eprint/850835

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