Prediction of Pavement Performance via Integrated Pavement Health and Traffic Monitoring with Deep Learning and Predictive Modeling

CIAM-UTC-REG50

Research Team

PI: Linbing Wang, Virginia Tech

Co-PI: Fei Dai, West Virginia University

Funding Sources

Virginia Tech Federal Share — $60,000

West Virginia University Federal Share — $59,818

Virginia Tech Match Share — $60,000

West Virginia University Match Share — $59,818

Total Project Cost — $239,636

Agency ID or Contract Number

69A3551847103

Start and End Dates

01/20/2022 — 07/20/2023

Project Description

The  proposed  research  will  target  overcoming  the  aforementioned  critical limitations  in  current  practice  by  developing  a  systematic  method  for  simultaneous  pavement performance  monitoring  and  prediction  and  vehicle  and  traffic  information  collection  through the  integration  of  pavement  dynamic  response  monitoring,  video  imaging,  traffic  flow monitoring,  environmental  monitoring,  numerical  pavement  simulation  with  rational mechanics  and  inverse parameter determination, and  an innovative ML  architecture.