Bridge Profile and Vehicle Property Determination Using Vehicle Fleet Monitoring Concept

Over the past 20 years, drive-by monitoring, using data from sensors in  passing vehicles, has become increasingly popular due to its low cost  and high efficiency at a network level. Despite significant advances,  the dynamics of vehicles remains one of the main challenges to overcome  before accurately identifying critical information about the  infrastructure being crossed, bridges or road pavements. This paper  introduces a novel approach to estimating bridge profiles (i.e. road  surface profiles on the bridges) and vehicle properties using a fleet of  passing vehicles. In this method, bridge profiles are first calculated  using the innovative Inverse Newmark-beta integration method, and the  cross-entropy optimization algorithm is employed to solve the problem.  Numerical results demonstrate that the proposed approach is highly  effective in extracting bridge profiles and predicting vehicle  properties, even in scenarios with significant levels of measurement  noise.