Reducing Whole Body Vibration Levels in Off-road, Heavy-duty Vehicles: A Case Study with Computer Modelling

This paper describes a case study involving the dynamic ride performance of a 30-ton, articulated dumper vehicle. The vehicle in question was originally fitted with a front-end, solid axle with leading arm mechanism. After an engineering design program, the vehicle was custom-fitted with a Timoney Independent suspension system. Extensive testing and modelling activities using LMS Virtual.lab Motion® were undertaken to determine the productivity levels of each vehicle. It was demonstrated that the vehicle fitted with a Timoney suspension could achieve a productivity increase of up to 50%. A health analysis is also presented which shows the Timoney Independent suspension system reduces the potential health risk.

[1]  Stuart Robson,et al.  Close Range Photogrammetry , 2007 .

[2]  Mingui Sun,et al.  An adaptive training algorithm for back-propagation neural networks , 1992, [Proceedings] 1992 IEEE International Conference on Systems, Man, and Cybernetics.

[3]  B Coifman,et al.  Using Transit Vehicles to Measure Freeway Traffic Conditions , 2006 .

[4]  Simon Haykin,et al.  Neural Networks: A Comprehensive Foundation , 1998 .

[5]  Vinny Cahill,et al.  Route profiling: putting context to work , 2004, SAC '04.

[6]  Brian L. Smith,et al.  Investigation of Dynamic Probe Sample Requirements for Traffic Condition Monitoring , 2004 .

[7]  Neil J. Mansfield,et al.  Human Response to Vibration , 2004 .

[8]  Michael J Demetsky,et al.  SHORT-TERM TRAFFIC FLOW PREDICTION: NEURAL NETWORK APPROACH , 1994 .

[9]  Daniel J. Dailey,et al.  AVL-Equipped Vehicles as Speed Probes (Final Phase) , 2005 .

[10]  Steven I-Jy Chien,et al.  DYNAMIC TRAVEL TIME PREDICTION WITH REAL-TIME AND HISTORICAL DATA , 2003 .

[11]  Jie Lin,et al.  Real-Time Estimation of Urban Street Segment Travel Time Using Buses as Speed Probes , 2009 .

[12]  Mark Dougherty,et al.  SHORT TERM INTER-URBAN TRAFFIC FORECASTS USING NEURAL NETWORKS , 1997 .

[13]  Daniel J. Dailey,et al.  IRREGULARLY SAMPLED TRANSIT VEHICLES USED AS A PROBE VEHICLE TRAFFIC SENSOR , 1999 .

[14]  Daniel J. Dailey,et al.  Transit Vehicles as Traffic Probe Sensors , 2002 .

[15]  Mark Dougherty,et al.  USING NEURAL NETWORKS TO RECOGNISE, PREDICT AND MODEL TRAFFIC , 1994 .

[16]  R. Jayakrishnan,et al.  A General Purpose Methodology for Link Travel Time Estimation Using Multiple Point Detection of Traffic - eScholarship , 2001 .

[17]  Robert L. Bertini,et al.  Beyond Generating Transit Performance Measures , 2009 .

[18]  Meng Li,et al.  Real-time Arterial Performance Measurement using Signal Timing Data and BRT as Probes , 2010 .

[19]  Gerardo W. Flintsch,et al.  Pavement Surface Macrotexture Measurement and Applications , 2003 .

[20]  T D Gillespie,et al.  Fundamentals of Vehicle Dynamics , 1992 .

[21]  Shih-Miao Chin,et al.  Transportation demand forecasting with a computer-simulated neural network model , 1992 .

[22]  Steven I-Jy Chien,et al.  Determining the Number of Probe Vehicles for Freeway Travel Time Estimation by Microscopic Simulation , 2000 .

[23]  David M Levinson The Economics of Traveler Information from Probes , 2002 .

[24]  Henry X. Liu,et al.  A virtual vehicle probe model for time-dependent travel time estimation on signalized arterials , 2009 .

[25]  Hironori Suzuki,et al.  Application of Probe-Vehicle Data for Real-Time Traffic-State Estimation and Short-Term Travel-Time Prediction on a Freeway , 2003 .

[26]  Ozgur Kisi,et al.  Comparison of different ANN techniques in river flow prediction , 2007 .

[27]  Patricia Melin,et al.  Backpropagation learning with a (1+1) ES , 2010, GECCO '10.

[28]  Melvyn D Cheslow,et al.  AN INITIAL EVALUATION OF ALTERNATIVE INTELLIGENT VEHICLE HIGHWAY SYSTEMS ARCHITECTURES , 1992 .

[29]  W Huber,et al.  EXTENDED FLOATING-CAR DATA FOR THE ACQUISITION OF TRAFFIC INFORMATION , 1999 .

[30]  Hani S. Mahmassani,et al.  On-Line Monitoring System for Real-Time Traffic Management Applications , 1999 .

[31]  Steven I-Jy Chien,et al.  Dynamic freeway travel time prediction using probe vehicle data: Link-based vs , 2001 .

[32]  R. Jayakrishnan,et al.  Bayesian Mixture Model for Estimating Freeway Travel Time Distributions from Small Probe Samples from Multiple Days , 2009 .

[33]  Majdi Khoudeir,et al.  Characterization of road microtexture by meansof image analysis , 2008 .

[34]  Alexandre M. Bayen,et al.  Using Mobile Phones to Forecast Arterial Traffic through Statistical Learning , 2010 .

[35]  Partha Chakroborty,et al.  Using Bus Travel Time Data to Estimate Travel Times on Urban Corridors , 2004 .

[36]  E. Bowen To the North , 1933 .