Architecture of managing big data of mixed transportation of passengers in aglomerations

The aim of this study is to develop a big data architecture that can provide the formation and management of competitive mixed passenger traffic in agglomerations in real time, taking into account the optimization of their cost, speed and new services. The work is based on studies of development tre...

Full description

Saved in:
Bibliographic Details
Published in:IOP conference series. Materials Science and Engineering 2020-09, Vol.918 (1), p.12055
Main Authors: Zhuravleva, N A, Poliak, M
Format: Article
Language:English
Subjects:
Agglomeration
Big Data
Data processing
Decision analysis
Decision making
Optimization
Passengers
Relational data bases
Structured data
Traffic management
Transportation systems
Unstructured data
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:The aim of this study is to develop a big data architecture that can provide the formation and management of competitive mixed passenger traffic in agglomerations in real time, taking into account the optimization of their cost, speed and new services. The work is based on studies of development trends of transport systems in agglomerations (SmartCitiesWorld); analysis of the methodology and use of systems for managing relational databases of structured data, as well as non-relational databases, information processing experience AIIM. For the analysis of passenger flows and decision-making on optimal routes, spatial databases OGS that implement standards have been used. The study substantiates the conclusion that the Big Data technology, implemented according to the cascade principle of information support for the transportation process, ensures the growth of monetization of all its components (transport infrastructure, vehicles and their management system). On this basis, a big data architecture was built, which implies the sharing of structured and unstructured data in the management of passenger traffic in agglomeration. This architecture made it possible to take into account the influence of the most important changes in the agglomeration on the mobility of its population and to optimize the financial performance of transport organizations due to the competitiveness of the allocated mixed routes.
ISSN:1757-8981
1757-899X
DOI:10.1088/1757-899X/918/1/012055