Travel Analysis

Texas A&M Transportation Institute
1111 RELLIS Parkway
Bryan, TX 77807
(979) 317-2597
[email protected]

Vijayaraghavan (Vijay) Sivaraman has over two decades experience in the field of regional transportation planning, traffic engineering and operations across public and private sector as well as academia. During this time, he has extensively worked with data at multiple scales from handheld counters, surveys, to an array of public and private data sources to emerging big data sources passively drawn from probe devices. Utilizing data from such sources, he has undertaken a diverse array of transportation studies ranging from assessment of development of regional impacts, analyzing transportation for new commercial and residential developments to analyzing intersections and corridors for safety and access management issues.

Beyond his experience across regional practice, he has also developed analytics and data products to model and understand regional and national long distance travel. This includes development of household consumer choice models utilizing traditional surveys in estimating U.S. household long distance travel choices as part of his dissertation. Through this experience, he extended his work towards development of big data based long distance travel , point of interest and tourism data products using Telecom and LBS based big data sources.

In his current role, he works on utilizing big mobility data to improve the current regional travel demand modeling inputs, support ad-hoc transportation analyses as well as develop easy to use and quick response analysis tools for stakeholders and policy makers. He is also actively involved in disseminating his knowledge and experience working with peers, governing agencies and national transportation research board (TRB).  As a member of the TRB, he is actively involved with advancing the transportation practice by contributing to committee activities ranging from conducting peer reviews conducting and organizing workshops, and developing research needs statements based on emerging practical needs of the industry.