On Trajectories in Moscow Subway

Along with the continuous growth of megacities, their transportation systems have become increasingly large and complex. The use of transportation systems by passengers directly reflects the changes that occur in the urban environment - for this reason, the study of urban mobility is an important task of digital urbanism. In particular, this paper is devoted to the study of spatial patterns (repetitive routes) in transportation systems with the case study on the Moscow subway. A brief review of data mining approaches to transportation systems data in general and to the task of spatial patterns extraction, in particular, is presented. A simple method for pattern extraction is proposed and applied to the Moscow subway data. As a result of the deployment of the proposed method the list of patterns was obtained - the graph of spatial patterns of the transport system under study was constructed based on it.

from our paper The Analysis of Trajectories in Moscow Subway

On robust machine learning

Our review for ongoing robust machine learning projects

Journal of Smart Cities and Society

You are welcome to submit your papers: Journal of Smart Cities and Society

How to build a hyper-local Internet

The paper describes the model of hyper-local Internet. This refers to a set of Internet resources that are, to one degree or another,relevant (useful) for users located in a certain limited area. For example,these resources discuss the functioning of a housing complex, an educational institution, contain information about local services, etc. The paper proposes both a model for organizing the markup of such areas based on the use of wireless technologies and a scheme for describing (presenting) resources. Collections of this kind can be dynamically created and maintained by any users. The result of the work is the presentation of a working model of spatial marking of the Internet, which allows you to combine existing resources together in the spatial community of their content. As a technological basis for such services, a new model of using Wi-Fi Direct is advocated.

On the New Architecture of Location-Based Services

This article discusses an alternative programming model for services that use location information. The paper proposes a new architecture for such services, which does not require users to share information about their location with service providers (services). This architecture is based on the author's proposed network spatial proximity model, where geocomputation is replaced by direct proximity measurement. This approach explicitly assumes that most services, using location information, describe (provide) some local services. Accordingly, geo-coordinates are used only for calculating proximity when searching (selecting) offers. It opens up the possibility of replacing geo-coordinates with direct measurement of proximity. Within the network proximity model, geo-computation is replaced by direct proximity definitions. And it is proposed to form this measurement of proximity based on the physical availability of signals of wireless network nodes, thus building cyber-physical systems.

from our paper

On One D2D Usage Model for 5G Networks

This article discusses a new model for using D2D interaction and proximity services (ProSe). This model allows telecommunications operators to offer their customers a micro-positioning system that will allow users (customers) of the service to offer information services (information services) to mobile subscribers who find themselves in a certain specified area. Applications of this kind of services include retail, office centers, campuses, and transport infrastructure systems. These sorts of systems will allow telecommunications operators to compete in providing these sorts of solutions with systems using wireless network approaches in the unlicensed spectrum. This work examines the software component of such a service. The proposed approach focuses on security. DOI: 10.23919/FRUCT50888.2021.9347632