Big Data Architecture for Intelligent Transport Systems | Zendy

B Mounica | Zendy; K. Lavanya | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

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 , data processing , data collection , electronic toll collection , volume (thermodynamics) , data aggregator , systems architecture , dynamic data , database , transport engineering , engineering , computer network , data mining , wireless sensor network , statistics , genetics , physics , mathematics , quantum mechanics , biology , art , visual arts

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.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research