Big Data and Data Analytics 

Big Data and Data Analysis

SCOPE

Innovations and developments in processing and analyzing big data contribute to promoting Smart Transportation, as well as to processing large amounts of travel data. Such innovations would contribute to quantifying the travel demand, mapping the transport supply, and integrating the two in real-time for maximizing service and utility. At the same time, there is a need to cope with challenges of data privacy and ethics.

AREAS OF RESPONSIBILITIES

Data fusion, machine learning, IoT, social media

KNOWLEDGE GAP RESEARCH

Knowledge Gap Identification - Initial Report - Big Data and Data Analytics Committee 2020
Authors: Ayelet Gal-Tzur and Tehila Shaul

Exploring the Application of Network Theory Techniques in Research Addressing Transportation Challenges: A Decadal Analysis 2024
Authors: Amit Rechavi and Ayelet Gal-Tzur

COMMITTEE CHAIR

 

 

 

 

 

Dr. Ayelet Gal-Tzur, Ruppin Academic Center

CONTACT

If you would like to join the Big Data and Data Analytics Professional Committee or if you would like to collaborate with us, you can contact Dr. Ayelet Gal-Tzur, Committee Chair.