Sravani Vadlamani

Assistant Professor

863-874-8806 Email

Office Location

Innovation, Science, and Technology Building, Room 2040, 4700 Research Way, Lakeland, FL 33805-8531

 

Education

Ph.D. in Civil Engineering, Arizona State University, 2018

Certificate in Statistics, Arizona State University, 2015

M.S. in Geographic Information Systems (GIS), Arizona State University, 2013

M.S. in Civil Engineering, Arizona State University, 2010

B.S. in Civil Engineering, Jawaharlal Nehru Technological University, India, 2007

 

Websites/Social Media Accounts*

Google Scholar Profile

ResearchGate

LinkedIn

 

About
Dr. Sravani Vadlamani previously served as a transportation engineer at the Maryland State Highway Administration (SHA) from 2010 to 2012.  Her research interests include transportation demand management, transportation safety and operations and statistical data analysis. Vadlamani would like to use the blend of her transportation, GIS and data analytical skills for interdisciplinary research that helps solve complex transportation challenges.

 

Expertise

  • Transportation Operations
  • Transportation Safety
  • ITS and Traffic Simulation
  • Statistical & Econometric Models
  • Geographic Information Systems (GIS)

 

Professional Activities

  • Reviewer for Journal of Transportation Safety & Security
  • Reviewer for Transportation Research Board annual meetings
  • Member of American Society of Civil Engineers (ASCE)
  • Member of Institute of Transportation Engineers (ITE)

 

Awards and Honors

  • Recipient of 2017-18 Jenny L. Grote Student Leadership Award by the Arizona Section of the Institute of Transportation Engineers (ITE)
  • Passed the Professional Engineer (PE) exam in 2017

 

Selected Publications

  • Reyna, J, Vadlamani, S, Chester, M, and Lou, Y. (2016). “Reducing Emissions at Land Border Crossings through Queue Reduction and Expedited Security Processing” Transportation Research Part D, Volume 49, 219 30.
  • Ahn, S, Vadlamani, S, and Laval, J. (2013). “A method to Account for Non-Steady Conditions in Measuring Traffic Hysteresis. Transportation Research Part C, Volume 34, 138-147.
  • Vadlamani, S, Chen, E, Ahn, S, and Washington S. (2011). Identifying Large Truck Hot Spots Using Crash Counts and PDOEs.  ASCE Journal of Transportation Engineering, Volume 137, Issue 1.
  • Ahn, S, Zheng, Z, and Vadlamani, S, (2015). “Private Road Transport–Cars and Trucks”. 106th Arizona Town Hall Report.
  • Ahn, S, Zheng, Z, and Vadlamani, S, (2009). “Highway Travel and Congestion”. 94th Arizona Town Hall Report.

 

 

 

*External, third-party sites not maintained by Florida Polytechnic University