Weight estimation on static B-WIM algorithms: A comparative study

Abstract Bridge weigh in motion (B-WIM) comprises the use of sensors on existing bridges in order to assess the loads of passing vehicles. Although numerous methods for weight estimation on static B-WIM algorithms may be found in the literature, there is not available a comparison study among them, especially regarding accuracy and statistical assumptions. Hence, this paper provides a critical comparison on a subset of conceptually similar B-WIM methods, further extending the discussion on their theoretical assumptions, beyond what is currently available in literature. The methods are not only referenced but reinterpreted and reformulated in a unifying manner, allowing an in-depth comparison. Moreover, a parametric study on the performance and sensitivity of methods is conducted. Not only simulated but also real data are employed in the comparison, supporting conclusions.

[1]  Tamara G. Kolda,et al.  Tensor Decompositions and Applications , 2009, SIAM Rev..

[2]  Myra Lydon,et al.  Recent developments in bridge weigh in motion (B-WIM) , 2016 .

[3]  Wei-Xin Ren,et al.  Extraction of influence line through a fitting method from bridge dynamic response induced by a passing vehicle , 2017 .

[4]  Eugene J. O'Brien,et al.  Probabilistic bridge weigh-in-motion , 2018, Canadian Journal of Civil Engineering.

[5]  Lu Deng,et al.  Identification of Dynamic Vehicular Axle Loads: Theory and Simulations , 2010 .

[6]  Toke Koldborg Jensen,et al.  An adaptive pruning algorithm for the discrete L-curve criterion , 2007 .

[7]  Nasim Uddin,et al.  Identification of Vehicular Axle Weights with a Bridge Weigh-in-Motion System Considering Transverse Distribution of Wheel Loads , 2014 .

[8]  Per Christian Hansen,et al.  Rank-Deficient and Discrete Ill-Posed Problems , 1996 .

[9]  John M. Biggs,et al.  Introduction to Structural Dynamics , 1964 .

[10]  Fred Moses,et al.  Weigh-In-Motion System Using Instrumented Bridges , 1979 .

[11]  Per Christian Hansen,et al.  Analysis of Discrete Ill-Posed Problems by Means of the L-Curve , 1992, SIAM Rev..

[12]  Byung-Wan Jo,et al.  Vehicle Signal Analysis Using Artificial Neural Networks for a Bridge Weigh-in-Motion System , 2009, Sensors.

[13]  Nasim Uddin,et al.  Bridge Weigh-in-Motion Algorithms Based on the Field Calibrated Simulation Model , 2017 .

[14]  Eugene J. O'Brien,et al.  Calculating an influence line from direct measurements , 2006 .

[15]  Yeong-Bin Yang,et al.  Vehicle–bridge interaction dynamics and potential applications , 2005 .

[16]  Ole Øiseth,et al.  Influence line extraction by deconvolution in the frequency domain , 2017 .

[17]  Gene H. Golub,et al.  Generalized cross-validation as a method for choosing a good ridge parameter , 1979, Milestones in Matrix Computation.

[18]  Di Su,et al.  Identification of moving vehicle parameters using bridge responses and estimated bridge pavement roughness , 2017 .

[19]  C. S. Cai,et al.  State-of-the-art review on bridge weigh-in-motion technology , 2016 .

[20]  Yang Yu,et al.  Nothing-on-road bridge weigh-in-motion considering the transverse position of the vehicle , 2018 .

[21]  Wei Song,et al.  Development and testing of a bridge weigh-in-motion method considering nonconstant vehicle speed , 2017 .

[22]  S. Washington,et al.  Statistical and Econometric Methods for Transportation Data Analysis , 2010 .

[23]  S. Chatterjee,et al.  Regression Analysis by Example , 1979 .

[24]  Sio-Song Ieng Bridge Influence Line Estimation for Bridge Weigh-in-Motion System , 2015 .

[25]  Yeong-Bin Yang,et al.  Vehicle-bridge interaction dynamics: with applications to high-speed railways , 2004 .

[26]  Baidar Bakht,et al.  Accurate measurements of gross vehicle weight through bridge weigh-in-motion: a case study , 2014 .

[27]  Maja Kreslin,et al.  Improved accuracy and robustness of bridge weigh-in-motion systems , 2018 .

[28]  Mark F. Green,et al.  A regularised solution to the bridge weigh-in-motion equations , 2009 .

[29]  T Ojio,et al.  BRIDGE WEIGH-IN-MOTION SYSTEMS USING STRINGERS OF PLATE GIRDER BRIDGES , 2002 .

[30]  André T. Beck,et al.  Robust design optimization of TMDs in vehicle–bridge coupled vibration problems , 2016 .

[31]  Eugene J. O'Brien,et al.  On the use of bridge weigh–in–motion for overweight truck enforcement , 2014 .

[32]  S. Gómez,et al.  The triangle method for finding the corner of the L-curve , 2002 .

[33]  Sunil Chandel,et al.  Numerical generation of road profile through spectral description for simulation of vehicle suspension , 2017 .

[34]  Yi Wang,et al.  Moving train loads identification on a continuous steel truss girder by using dynamic displacement influence line method , 2011 .

[35]  A. E. Hoerl,et al.  Ridge regression: biased estimation for nonorthogonal problems , 2000 .

[36]  Peter Múčka,et al.  Simulated Road Profiles According to ISO 8608 in Vibration Analysis , 2017 .

[37]  R. Tibshirani Regression Shrinkage and Selection via the Lasso , 1996 .

[38]  Dianne P. O'Leary,et al.  The Use of the L-Curve in the Regularization of Discrete Ill-Posed Problems , 1993, SIAM J. Sci. Comput..