Meenakshy Vasudevan

Meenakshy Vasudevan

Meenakshy Vasudevan

Areas of Expertise:

Traffic modeling and simulation, performance measurement, experimental design, data mining, statistical analysis, traffic signal optimization, transit signal priority, and project management

Background:
Meenakshy is a Senior Principal in Noblis' Transportation Systems division. She is an expert in the evaluation of emerging technologies and policies meant to improve traveler mobility and system productivity. She has developed neural network models to predict evolution of traffic flows, bus arrivals, and broadcast advisory content. She recently applied big data graph analytics to predict congestion using connected vehicle data. She has lead and advised on numerous surface transportation-related research and development tasks, and has consulted on multiple procurement activities for the Intelligent Transportation Systems Joint Program Office.

Noblis Projects:

  • Technical Support to the Connected Vehicle Program for the ITS JPO
  • Big Data Analytics for ITS JPO
  • Technical Service Support for International Connected Vehicle Evaluation Methods and Tools for the FHWA Office of Operations R&D

Education:
Doctorate Degree, Civil and Environmental Engineering (Transportation), University of Maryland
Master's Degree, Civil and Environmental Engineering (Transportation), University of Maryland
Master's Degree, Mathematics, Indian Institute of Technology

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