The Smart Police in the Smart City

В.П. Куприяновский, С.А. Буланча, Д.Е. Намиот, С.А. Синягов


This article is a continuation of a series of publications on Smart Cities. The article deals with issues related to the support of the security systems in the smart cities. Naturally, the most important element of security is the police. Accordingly, Smart City is to provide appropriate support and for its intelligent police. The article describes how the police support system works in the UK (London), as well as typical services related to Smart Cities, which can be used by police in their daily activities. 

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Dobrynin A. P. i dr. Cifrovaja jekonomika – razlichnye puti k jeffektivnomu primeneniju tehnologij (BIM, PLM, CAD, IOT, Smart City, BIG DATA i drugie) //International Journal of Open Information Technologies. – 2016. – T. 4. – #. 1. – S. 4-11.

Namiot D. E. Umnye goroda 2016 //International Journal of Open Information Technologies. – 2016. – T. 4. – #. 1. – S. 1-3.

Kuprijanovskij V. P. i dr. Umnye goroda kak «stolicy» cifrovoj jekonomiki //International Journal of Open Information Technologies. – 2016. – T. 4. – #. 2. – S. 41-52.

Smart Cities, some thoughts for discussion

Reducing Crime Through Intelligence-Led Policing

Kuprijanovskij V.P., Martynov B.A., Kornil'ev K.G. “Umnaja planeta” – kak jeto sdelano? // Arcreview.-2014.- #. 68

National Intelligence Model UK

Cejler M. Modelirovanie nashego mira: posobie ESRI® po proektirovaniju baz geodannyh: Per. s angl //K.: ESOMM. – 2003. – S. 254.

Law Enforcement Technology Needs Assessment

Kuprijanovskij V. P., Namiot D. E., Kuprijanovskij P. V. Standartizacija Umnyh Gorodov, Interneta Veshhej i Bol'shih Dannyh. Soobrazhenija po prakticheskomu ispol'zovaniju v Rossii //International Journal of Open Information Technologies. – 2016. – T. 4. – #. 2. – S. 34-40.

Kuprijanovskij V. P. i dr. Cifrovaja jekonomika – «Umnyj sposob rabotat'» //International Journal of Open Information Technologies. – 2016. – T. 4. – #. 2. – S. 26-33.

Kuprijanovskij V. P., Namiot D. E., Sinjagov S. A. Kiber-fizicheskie sistemy kak osnova cifrovoj jekonomiki //International Journal of Open Information Technologies. – 2016. – T. 4. – #. 2. – S. 18-25.

Using Future Internet Technologies to Strengthen Criminal Justice. RAND Corporation 2015.

Improving Information-Sharing Across Law Enforssment. Why Can`t We Know? RAND Corporation 2015

Dyche, James, and Pennsylvania Justice Network. "Getting the GISST." (2011).

Get started with Industry Formats and Services with pureXML

The police mission in the twenty-first century: rebalancing the role of the first public service

The expert citizen. REFORM 2014

How to run a country. Crime and policing. REFORM 2015

Cutting crime: the role of tagging in offender management. REFORM 2015

Top 14 Best Practices for Building Video Surveillance Networks

Mitton, Nathalie, et al. "Combining Cloud and sensors in a smart city environment." EURASIP journal on Wireless Communications and Networking 2012.1 (2012): 1-10

Cardone, Giuseppe, et al. "Fostering participation in smart cities: a geo-social crowdsensing platform." Communications Magazine, IEEE 51.6 (2013): 112-119.

Medvedev, Alexey, et al. "Citywatcher: annotating and searching video data streams for smart cities applications." Internet of Things, Smart Spaces, and Next Generation Networks and Systems. Springer International Publishing, 2014. 144-155.

Subrahmanyam, Kaveri, et al. "Online and offline social networks: Use of social networking sites by emerging adults." Journal of applied developmental psychology 29.6 (2008): 420-433.

Tell your police department! What Baltimore learned about body cams

Vieira M. R. et al. Characterizing dense urban areas from mobile phone-call data: Discovery and social dynamics //Social Computing (SocialCom), 2010 IEEE Second International Conference on. – IEEE, 2010. – S. 241-248.

Jacobs-Crisioni C. G. W., Koomen E. Linking urban structure and activity dynamics using cell phone usage data //Workshop on complexity modeling for urban structure and dynamics, 15th AGILE international conference on Geographic Information Science, Avignon. – 2012.

Namiot, Dmitry, and Manfred Sneps-Sneppe. "On the analysis of statistics of mobile visitors." Automatic Control and Computer Sciences 48.3 (2014): 150-158.

Sneps-Sneppe M., Namiot D. Smart cities software: customized messages for mobile subscribers //Wireless Access Flexibility. – Springer Berlin Heidelberg, 2013. – S. 25-36.

Namiot D., Sneps-Sneppe M. CAT??? cars as tags //Communication Technologies for Vehicles (Nets4Cars-Fall), 2014 7th International Workshop on. – IEEE, 2014. – S. 50-53.

Gerber M. S. Predicting crime using Twitter and kernel density estimation //Decision Support Systems. – 2014. – T. 61. – S. 115-125.

Wang X., Gerber M. S., Brown D. E. Automatic crime prediction using events extracted from twitter posts //Social Computing, Behavioral-Cultural Modeling and Prediction. – Springer Berlin Heidelberg, 2012. – S. 231-238.

Chen H. et al. Crime data mining: a general framework and some examples //Computer. – 2004. – T. 37. – #. 4. – S. 50-56.

How predictive analytics is saving children's lives in Los Angeles

McCue C. Data mining and predictive analysis: Intelligence gathering and crime analysis. – Butterworth-Heinemann, 2014.


Predictive policing: how machine learning startups are helping prevent crimes!


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