Paper Info
Title
An Artificial Intelligence Based Forecasting In Smart Parking With Iot
Abstract
Internet of Things (IoT) enables Smart Cities (SC) with novel services for the citizens' well-being. A Smart Parking (SP) system is an important part of the SC infrastructure, which enables the efficient handling of the demanding SC traffic congestion conditions. Such a system also protects the urban environment towards a green ecosystem. In this paper, we consider Artificial Intelligence (AI) algorithms towards processing of data produced by parking lots and disseminated by IoT technology in the SC of St. Petersburg in Russia. Such algorithms enhance the proposed SP system to predict the number of unoccupied parking lots within the SC parking places. In addition, the SP system uses vehicle navigation to decide the optimal parking place according the current vehicle location and the availability of parking lots in the SC.
Year
DOI
Venue
2018
10.1007/978-3-030-01168-0_4
INTERNET OF THINGS, SMART SPACES, AND NEXT GENERATION NETWORKS AND SYSTEMS, NEW2AN 2018
Keywords
Field
DocType
Internet of Things (IoT), Smart cities, Genetic algorithms, Artificial Intelligence (AI), Recurrent Neural Networks (RNN)
Computer science,Computer security,Internet of Things,Urban environment,Recurrent neural network,Computer network,Smart parking,Artificial intelligence,Genetic algorithm,Traffic congestion
Conference
Volume
ISSN
Citations 
11118
0302-9743
0
PageRank 
References 
Authors
0.34
0
6
Name
Order
Citations
PageRank
Petr Fedchenkov1112.90
Theodoros Anagnostopoulos215714.54
Arkady B. Zaslavsky3943168.27
Klimis S. Ntalianis46615.74
Inna Sosunova510.73
Oleg Sadov600.34