Precision enhancement of pavement roughness localization with connected vehicles

被引:23
作者
Bridgelall, R. [1 ]
Huang, Y. [2 ]
Zhang, Z. [2 ]
Deng, F. [2 ]
机构
[1] N Dakota State Univ, Upper Great Plains Transportat Inst, Fargo, ND 58105 USA
[2] N Dakota State Univ, Dept Civil & Environm Engn, Fargo, ND 58105 USA
关键词
accelerometer; connected vehicles; global positioning system; inertial profiler; pavement roughness localization; potholes; smartphone;
D O I
10.1088/0957-0233/27/2/025012
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Transportation agencies rely on the accurate localization and reporting of roadway anomalies that could pose serious hazards to the traveling public. However, the cost and technical limitations of present methods prevent their scaling to all roadways. Connected vehicles with on-board accelerometers and conventional geospatial position receivers offer an attractive alternative because of their potential to monitor all roadways in real-time. The conventional global positioning system is ubiquitous and essentially free to use but it produces impractically large position errors. This study evaluated the improvement in precision achievable by augmenting the conventional geo-fence system with a standard speed bump or an existing anomaly at a pre-determined position to establish a reference inertial marker. The speed sensor subsequently generates position tags for the remaining inertial samples by computing their path distances relative to the reference position. The error model and a case study using smartphones to emulate connected vehicles revealed that the precision in localization improves from tens of metres to sub-centimetre levels, and the accuracy of measuring localized roughness more than doubles. The research results demonstrate that transportation agencies will benefit from using the connected vehicle method to achieve precision and accuracy levels that are comparable to existing laser-based inertial profilers.
引用
收藏
页数:9
相关论文
共 22 条
[1]  
Ahlin Kjella., 2002, INT J PAVEMENT ENG, V3, P207, DOI [10.1080/10298430210001701, DOI 10.1080/10298430210001701]
[2]  
Apple Inc, 2014, LOC MAPS PROGR GUID
[3]  
Bridgelall R., 2014, P SPIE, V9061
[4]   Precision Bounds of Pavement Distress Localization with Connected Vehicle Sensors [J].
Bridgelall, Raj .
JOURNAL OF INFRASTRUCTURE SYSTEMS, 2015, 21 (03)
[5]   Connected Vehicle Approach for Pavement Roughness Evaluation [J].
Bridgelall, Raj .
JOURNAL OF INFRASTRUCTURE SYSTEMS, 2014, 20 (01)
[6]  
Bridgelall Rajinder., 2015, Pavement performance evaluation using connected vehicles
[7]  
Chen D, 2014, INT J ENG RES INNOV, V6, P55
[8]   Measurement of International Roughness Index by Using Z-Axis Accelerometers and GPS [J].
Du, Yuchuan ;
Liu, Chenglong ;
Wu, Difei ;
Jiang, Shengchuan .
MATHEMATICAL PROBLEMS IN ENGINEERING, 2014, 2014
[9]  
Gade Kenneth., 2010, J NAVIGATION, V63, P365
[10]  
Gillespie T.D., 1986, INT ROAD ROUGHNESS E