Big Data

Course Description:

This Course has been developed for transportation professionals interested in the latest trends in traffic data collection and their impact on the quality of ITS implementation. The Course introduces classification of data collection technologies, emphasizes design and functioning of state of the art solutions of each type. It describes the difference in the content of traffic data collected by each system: Permanent detection (video and radar based), Portable detection (video and tube-counting based), GPS-based methods (navigation and LBS data processing), Data fusion, and Big Data.

Outcome 1:

Increase understanding of data models, data specifics, data limitations for different traffic data collection systems, and of the developing of data collection requirements.

Outcome 2:

Develop understanding of how traffic data quality and coverage interact to guide the decisions on ITS design, implementation and operation.

Outcome 3:

Increase awareness of traffic data role with respect to ITS impact on energy usage, environmental quality and social effects of traffic network.


Outcome 4:

Develop understanding of a closed mobility improvement cycle and forensic improvement analysis.

Instructor:

Dr. Gregory Brodski is the president of AGA Group, Inc., and CEO of Ticon, Inc., MA, USA, possessing 39 years of experience in mechanical and system engineering. Dr. Brodski earned his Dipl. Eng. degree in Moscow Automotive and Highway University (1979), PhD degree in Skochinsky Institute of Russian Academy of Sciences (1986) and Dr. Sc. degree in Moscow Mining University (2006).  
Dr. Brodski has 17 years of experience in transportation and infrastructure research and development.  He headed a number of successful projects, including development of traffic signal optimization software, central software for ITS operation, automated tool for traffic monitoring, System for Optimal Management of cities infrastructure, and Bridge Management System for the City of Moscow under aegis of the World Bank. 
Dr. Brodski has developed many regional, cities, and project specific simulation models, including several ones for 2014 Olympics.  He supervised a number of ITS implementations, including very first ASCT in Russia, as well as adaptive control studies and traffic signal optimization projects. Dr. Brodski has 12 years of experience in the field of traffic data collection of many kinds - from manual inspection and portable detection to state-of the art traffic monitoring, including automated analysis of the data received from 557-units traffic detection network. Now his research is dedicated to the development and industrial implementation of a new traffic data platform focused on hardware-free approach to traffic data collection.

Course Length:

3 Hours

Credit Hours

3 Professional Development Hours (PDHs)

0.3 Continuing Education Credits (CEUs)