
Big Data Architecture for Intelligent Transport Systems
Author(s) -
. B Mounica,
K. Lavanya
Publication year - 2019
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.i8119.078919
Subject(s) - intelligent transportation system , toll , big data , advanced traffic management system , computer science , architecture , data management , electronic toll collection , data processing , data collection , volume (thermodynamics) , systems architecture , database , transport engineering , engineering , data mining , geography , statistics , genetics , physics , mathematics , quantum mechanics , biology , archaeology
Day by day as the volume of data is being generated massively, storing of data and processing of data becomes a ever growing challenge in intelligent transport system (ITS). In intelligent transport system there are different areas to concentrate like smart parking systems, dynamic toll charging, smart traffic management etc. This paper is mainly focused on big data architecture for intelligent transport system for dynamic toll charging, traffic management and traffic analysis related data collection from various sources. The data collected from various sources can be in the form of structured data, semi structured data and unstructured data. Because of verity of data collected, this paper gives an idea about which data model is appropriate depending on data collected for transportation system.