Article

Article title DECISION SUPPORT SYSTEM IN URBAN GOVERNANCE ON THE BASIS OF GEOINFORMATION SOCIOSEMANTIC TECHNOLOGIES
Authors I. M. Borodyansky, L. V. Gordienko, A. I. Pavlova
Section SECTION III. THE DESIGN AND APPLICATION OF ROBOTIC AND MECHATRONIC SYSTEMS
Month, Year 09, 2017 @en
Index UDC 004.041
DOI
Abstract The present paper proposes to solve the problem of the city road infrastructure state using the method of decision support on the basis of integration of geoinformation expert systems and a sociosemantic element. To identify the shortcomings of the city road infrastructure, ordinary citizens, mobile device users, are involved. A geoinformation system is developed in the form of a mobile application which allows collecting and transmitting spatial and attributive data of detected problems. The built-in expert system, based on expert knowledge, ranks the problems according to the degree of their risk. The expert system uses the knowledge representation in the form of rules-products. The given approach allows making a decision on reconstruction or repair of the most risky areas with limited funds and at the earliest date. The problems of the road infrastructure are classified and presented in the system as an interactive list. The rules and functions of the system operation are described. The Yandex.Maps API is chosen as the cartographic basis of the application. To prototype the user interface, the application uses the jQueryMobile framework, which automates the process of creating Ajax sites and applications. All information published by users is stored on the server as database tables. The database should also store the information about users themselves to ensure the functionality of registration in the system. The information from the database is sent to the user after a GET request. And it is written after a POST request. The entire graphical interface, as well as the intermediate database, is stored on the user"s mobile device, the server also stores the main database, as well as scripts processing the requests from the client.

Download PDF

Keywords Expert system; road infrastructure; geoinformation system; mobile application; website.
References 1. Khalturin R.A. Prioritety formirovaniya dorozhnoy infrastruktury Rossii [Priorities for the Formation of the Road Infrastructure of Russia], Voprosy ekonomiki i prava [Issues of Economics and Law], 2011, No. 4, pp. 226-230.
2. Sidorenko Yu.A., Tsvetkova N.Yu. Problemy monitoringa sostoyaniya ob"ektov transportnoy infrastruktury [Problems of monitoring the state of transport infrastructure objects], Interaktivnaya nauka [Interactive Science], 2016, No. 2, pp. 151-154.
3. Seliverstov Ya.A., Starichenkov A.L. Osobennosti postroeniya sistemy gorodskogo transportno-logisticheskogo monitoringa [Features of building the system of urban transport and logistical monitoring], Izvestiya SPbGETU «LETI» [News of SPbGETU «LETI»], 2015, No. 1, pp. 29-36.
4. Salomatin K.S. Monitoring ulichno-dorozhnoy seti goroda [Monitoring of the street-road network of the city], Vestnik YuRGTU (NPI) [Herald of the SRSTU (NPI)], 2013, No. 4, pp. 40-45.
5. Mikheeva T.I., Rudakova I.A., Chugunov I.A. Sistema modelirovaniya «Transportnaya infrastruktura goroda» [Modeling system "Transport infrastructure of the city"], Vestnik Samarskogo gosudarstvennogo tekhnicheskogo universiteta. Ser. Tekhnicheskie nauki [Bulletin of the Samara State Technical University, Series: Engineering science], 2008, No. 1, pp. 28-38.
6. Geoinformatsionnye tekhnologii kompanii Yandeks [Geo-information technologies of Yandex]. Available at: https://company.yandex.ru/ technologies/geoinformation/ (accessed 23 November 17).
7. Usov V. Swift. Osnovy razrabotki prilozheniy pod iOS [Swift. Basics of developing applications for iOS]. Saint Petersburg: Piter, 2016, 304 p.
8. Rohit Ghatol, Yogesh Patel. Beginning PhoneGap: Mobile Web Framework for javascript and HTML5, 2012.
9. Gordienko L.V., Pavlova A.I. Issledovanie funktsional'nykh vozmozhnostey geoinformatsionnykh sistem dlya monitoringa i analiza gorodskoy dorozhnoy seti [Research of functionalities of geoinformation systems for monitoring and analysis of the city road network], Mezhdunarodnyy nauchnyy zhurnal «Innovatsionnaya nauka» [International scientific journal "Innovative science"], 2016, No. 10-2, pp. 27-30.
10. Ginis L. A. Gordienko L.V. Modelirovanie slozhnykh sistem: kognitivnyy teoretiko-mnozhestvennyy podkhod [Modeling of complex systems: cognitive set-theoretic approach]. Taganrog: Izd-vo YuFU, 2016, 160 p.
11. Belyakova M.L. Intellektual'nye geoinformatsionnye sistemy dlya upravleniya infrastrukturoy transportnykh kompleksov: monografiya [Intelligent geoinformation systems for infrastructure management of transport complexes: monograph]. Taganrog: Izd-vo YuFU, 2016, 190 p.
12. Belyakov S.L., Belyakova M.L.,. Bozhenyuk A.V, Savel'eva M.N. Optimizatsiya potokov v transportnykh sistemakh [Optimization of flows in transport systems], Izvestiya YuFU. Tekhnicheskie nauki [Izvestiya SFedU. Engineering sciences], 2014, No. 5 (154), pp. 161-167.
13. Gordienko L.V. Predstavlenie informatsionnoy modeli transportnoy seti v geoinformatsionnoy sisteme [Presentation of the information model of the transport network in the geo-information system], Sovremennye sistemy iskusstvennogo intellekta i ikh pri-lozheniya v nauke: Vserossiyskaya nauchnaya Internet-konferentsiya s mezhdunarodnym uchastiem: materialy konf. [Modern systems of artificial intelligence and their applications in science. All-Russian scientific Internet conference with international participation: materials of conf.]. Kazan', 2013, 166 p.
14. Pollak G.A. Instrumental'nye sredstva razrabotki ekspertnykh sistem: ucheb. posobie [Tools for the development of expert systems: Textbook]. Chelyabinsk: Izd. YuUrGU, 2003, 65 p.
15. Dzharratano D., Rayli G. Ekspertnye sistemy: printsipy razrabotki i programmirovanie [Expert Systems: Principles and Programming, Fourth Edition]. 4 ed. Moscow: Vil'yams, 2007.
16. Vizureanu P. (ed.) Expert Systems. Izd-vo InTech, 2010, 246 p.
17. Vizureanu P. (ed.) Advances in Expert Systems. InTeOp, 2012, 128 p.
18. Vagin V.N., Golovina E.Yu., Zagoryanskaya A.A., Fomina M.V. Dostovernyy i pravdopodobnyy vyvod v intellektual'nykh sistemakh [A reliable and plausible conclusion in intelligent systems], ed. by V.N. Vagina, D.A. Pospelova. Moscow: Fizmatlit, 2004.
19. John Reld. jQuery Mobile. Packt Publishing. 2011, 124 p.
20. Camden Raymond, Matthews Andy. jQuery Mobile Web Development Essentials. 3rd Edition. Packt Publishing, 2017, 265 p.

Comments are closed.