Models and methods for the urban transit system research

Natalia Sadovnikova, Danila Parygin, Maria Kalinkina, Bulat Sanzhapov, Trieu Ni Ni

Research output: Chapter in Book/Report/Conference proceedingConference contribution

11 Scopus citations

Abstract

This paper describes the approaches to analyzing the effectiveness of the urban transit system. Research in this area almost focuses on the intersection of sciences: urban development, economics, ecology, sociology, and others. It is, therefore, important to use models that allow to perform analysis from different perspectives. It is necessary to take into account a large number of diverse factors which effect on the performance of the transportation system, its operation quality, safety, etc. For the conceptual analysis, it was provided to consider ongoing processes on the cognitive model. Decision support fuzzy methods are used to match the goals and possibilities of the transport system.

Original languageEnglish (US)
Title of host publicationCreativity in Intelligent Technologies and Data Science - 1st Conference, CIT and DS 2015, Proceedings
EditorsAlla Kravets, Maxim Shcherbakov, Marina Kultsova, Olga Shabalina
PublisherSpringer Verlag
Pages488-499
Number of pages12
ISBN (Print)9783319237657
DOIs
StatePublished - 2015
Externally publishedYes
Event1st Conference on Creativity in Intelligent Technologies and Data Science, CIT and DS 2015 - Volgograd, Russian Federation
Duration: Sep 15 2015Sep 17 2015

Publication series

NameCommunications in Computer and Information Science
Volume535
ISSN (Print)1865-0929

Conference

Conference1st Conference on Creativity in Intelligent Technologies and Data Science, CIT and DS 2015
CountryRussian Federation
CityVolgograd
Period9/15/159/17/15

Keywords

  • City
  • Cognitive modeling
  • Decision support
  • Fuzzy methods
  • Public transportation
  • Transportation system

ASJC Scopus subject areas

  • Computer Science(all)
  • Mathematics(all)

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