Knowledge Base, Intelligent Systems, Expert Systems, Decision Support Systems
Dolinina O.N., Pechenkin V.V. —
On the transition to the waste collection management using an intellectual system by "Smart City" project.
// Software systems and computational methods.
– 2017. – ¹ 3.
– P. 1 - 15.
DOI: 10.7256/2454-0714.2017.3.24075 URL: https://en. nbpublish.com/library_read_article.php?id=24075
Read the article
The object of studies involves waste collection by trucks in urban aglomerations within the "Smart City" concept. The authors provide detailed evaluation of the problems concerning the construction of waste disposal schedules, since these schedules currently do not correspond to the state of fullness of garbage containers, and they also do not involve optimization of the routes for specialized transport are discussed in detail. The object of research in this article concerns formation of a multi-criteria optimal route for garbage disposal, which takes into account the fullness of trash containers, the travel time, and expert knowledge of the current road situation in the area of the route. The research method involves construction of a hybrid intelligent system that takes a decision to model a dynamic optimal route based on graph theory, modeling fuzzy expert knowledge that takes into account the road situation. Scientific novelty is due to the development of a hybrid approach to managing the removal of domestic waste in large megacities, which uses several technologies for optimizing the timetable. These technologies include mobile technologies that link the system hardware and software components into a single whole, take into account the current state of the road network, and expertise to evaluate the schedule. Route options are calculated using an optimization algorithm for constructing several options of the shortest route. The article presents one optimization criterion for choosing a route for servicing container sites - the time necessary to maintain sites with household waste. It is obvious that the dynamic nature of the chosen mathematical model of the entire system allows the addition of other optimization criteria. These criteria for the schedule formation may involve fuel consumption rate, material resources, the requirement of equal load level of all trucks. The advantages of the said system involve the simultaneous consideration of the situation with the filling of containers for waste, the road situation for the routes, as well as the expert rules.
hybrid control system, smart city, schedule, gabbage collection, expert system, optimization criteria, mobile technologies, Mamdani method, fuzzy rules, dynamic network
Dolinina O., Pechenkin V., Tarasova V. Podkhody k dinamicheskoy vizualizatsii grafov sotsial'nykh setey obrazovatel'noy organizatsii // Vestnik SGTU, Saratov, ¹. 4(62), 2011, s. 239-242.
Kargin R.V., Domnitskiy A.A. Marshrutizatsiya dvizheniya dorozhnykh mashin dlya sbora i vyvoza otkhodov // Dorogi i mosty. – Moskva, ¹. 28/2, 2012, s. 92-102.
Doronkina I.G., Borisova O.N., Grechishnik V.S. Optimizatsiya protsessa utilizatsii tverdykh bytovykh otkhodov // Servis v Rossii i za rubezhom, ¹.1(20), 2011, s. 62–67.
N. Kumar, C. Swamy, and K. Nagadarshini, “Efficient Garbage Disposal Management in Met-ropolitan Cities Using VANETs”, Journal of Clean Energy Technologies, Vol. 2, No. 3, July 2014, pp. 258-262.
Optimising Waste Collection. Date Views 16.01.2016. http://www.enevo.com/ (data obrashcheniya: 16.01.2016)
D. Toppeta, “The Smart City Vision: How Innovation and ICT Can Build Smart, “Livable”, Sustainable Cities”, The Innovation Knowledge Foundation, 2010 . Available from http://www.inta-aivn.org/images/cc/Urbanism/background