Using the visual intervention influence of pavement markings for rutting mitigation–part I: preliminary experiments and field tests

ABSTRACT The wheel tracks on highways are excessively concentrated and lead to rutting on asphalt pavements, which reduces the service life of highway pavements. A new method is proposed, which uses the visual intervention of pavement markings to redistribute the wheel track and adopts a three-stage process to relieve the stress caused by axial load concentration. This method is more suitable for existing highway pavements because the cost is considerably less than that of repaving. We first conducted preliminary experiments to determine the optimum design of pavement marking, and the driving safety was found to be at an acceptable level based on the steering behaviour and vehicle acceleration analysis. Second, field tests of the method on an operational highway are carried out, and the transverse offset of the wheel track is analysed using the video analysis technique. Based on the field test results, the visual intervention is proven to shift the wheel track concentration area effectively to relieve the rutting problem, without compromising driving safety. Hence, the proposed transverse visual intervention method has the potential to prolong the asphalt pavement service life by 16–31%, which has been demonstrated in a companion (Part II) paper based on a finite element simulation.

[1]  Yue Liu,et al.  Integrated optimization of lane markings and timings for signalized roundabouts , 2013 .

[2]  Qing Lu,et al.  Evaluation of anti-reflective cracking measures by laboratory test , 2013 .

[3]  Wei Wang,et al.  Effects of parallelogram-shaped pavement markings on vehicle speed and safety of pedestrian crosswalks on urban roads in China. , 2016, Accident; analysis and prevention.

[4]  Jennaro B. Odoki,et al.  Hierarchical asphalt pavement deterioration model for climate impact studies , 2014 .

[5]  John T Harvey,et al.  Estimation of Truck Traffic Inputs for Mechanistic–Empirical Pavement Design in California , 2009 .

[6]  Erwin R. Boer,et al.  Development of a steering entropy method for evaluating driver workload , 1999 .

[7]  Ezio Santagata,et al.  A novel procedure for the evaluation of anti-rutting potential of asphalt binders , 2015 .

[8]  Konstantina Gkritza,et al.  Pavement Marking Retroreflectivity and Crash Frequency: Segmentation, Line Type, and Imputation Effects , 2016 .

[9]  Ming Xu,et al.  EFFECT OF PROLONGING SERVICE LIFE OF ASPHALT PAVEMENT BY WHEEL TRACKS TRANSVERSE INTERVENTION , 2013 .

[10]  Samuel Labi,et al.  Estimating the marginal cost of pavement damage by highway users on the basis of practical schedules for pavement maintenance, rehabilitation and reconstruction , 2015 .

[11]  Xiaojing Zhao,et al.  Evaluation of whole-body vibration exposure experienced by operators of a compact wheel loader according to ISO 2631-1:1997 and ISO 2631-5:2004 , 2014 .

[12]  Jeong Kim,et al.  Potential Safety Cost-Effectiveness of Treating Rutted Pavements , 1998 .

[13]  Robert L. Lytton,et al.  Novel Method for Moisture Susceptibility and Rutting Evaluation Using Hamburg Wheel Tracking Test , 2014 .

[14]  R Buiter,et al.  EFFECTS OF TRANSVERSE DISTRIBUTION OF HEAVY VEHICLES ON THICKNESS DESIGN OF FULL-DEPTH ASPHALT PAVEMENTS , 1989 .

[15]  G J Andersen,et al.  Speed, size, and edge-rate information for the detection of collision events. , 1999, Journal of experimental psychology. Human perception and performance.

[16]  Christian Koch,et al.  Automated Pothole Distress Assessment Using Asphalt Pavement Video Data , 2013 .

[17]  Ashraf El-Hamalawi,et al.  Development and Implementation of a Lifecycle Carbon Tool for Highway Maintenance , 2015 .

[18]  Samuel G Charlton,et al.  The role of attention in horizontal curves: a comparison of advance warning, delineation, and road marking treatments. , 2007, Accident; analysis and prevention.

[19]  Mohammed Hadi,et al.  Effect of Pavement Marking Retroreflectivity on the Performance of Vision-Based Lane Departure Warning Systems , 2011, J. Intell. Transp. Syst..

[20]  Richard A. Retting,et al.  Influence of Experimental Pavement Markings on Urban Freeway Exit-Ramp Traffic Speeds , 2000 .

[21]  Ming Xu,et al.  Using the visual intervention influence of pavement marking for rutting mitigation – Part II: visual intervention timing based on the finite element simulation , 2019 .

[22]  Tien Fang Fwa,et al.  Rational Procedure for Determination of Rut Depth Intervention Level in Network-Level Pavement Management , 2016 .

[23]  Rafiqul A. Tarefder,et al.  Effects of recycled asphalt pavements on the fatigue life of asphalt under different strain levels and loading frequencies , 2015 .

[24]  Kelvin C P Wang,et al.  Use of Digital Cameras for Pavement Surface Distress Survey , 1999 .

[25]  Halil Ceylan,et al.  Computationally efficient surrogate response models for mechanistic–empirical pavement analysis and design , 2011 .

[26]  Fereidoon Moghadas Nejad,et al.  Investigating the effect of nanoparticles on the rutting behaviour of hot-mix asphalt , 2016 .

[27]  J. G. Hollands,et al.  Engineering Psychology and Human Performance , 1984 .

[28]  James Grenfell,et al.  Rutting of bituminous mixtures: wheel tracking tests campaign analysis , 2011 .

[29]  Yafeng Yin,et al.  Estimating investment requirement for maintaining and improving highway systems , 2008 .

[30]  S. Maeda,et al.  Health risk evaluation of whole-body vibration by ISO 2631-5 and ISO 2631-1 for operators of agricultural tractors and recreational vehicles. , 2013, Industrial health.