Portal de Periódicos da CAPES

Mobile Technologies in Intelligent Transportation Systems

2020; Springer Science+Business Media; Linguagem: Inglês

10.1007/978-3-030-37436-5_33

1865-0937

И.Г. Малыгин, Yaroslav A. Seliverstov, S. A. Seliverstov, М.V. Silnikov, Р. Р. Муксимова, Gleb Gergel, Victoria Chigur, Shakeeb S. Fahmi,

Advanced Signal Processing Techniques

An analysis is made of the use of cellular communication as part of intelligent transportation systems to collect information on traffic flows and population mobility. The model of the monitoring system of urban population social activity is created. The reliability of the model is demonstrated with the City Navigator mobile application. The application is developed in the Xcode 9 environment in Swift3 language, and the data analysis system - in Python 3.X. The application serves as the information source for preferential routing, enables to assess the quality of the urban system facilities and take into account the infrastructure, transport, needs, locations, photo-registration and users GPS tracks. User’s GPS tracks are tied to the classifiers of the Unified System of Classification and Codification of Technical and Economic and Social Information (USCCTESI) and the International Classification of Diseases of the Tenth View (ICD-10). The practical guidelines for the further use of mobile applications as part of intelligent transportation systems are indicated.