Results 251 to 260 of about 465,935 (327)

Evaluating the effectiveness of satellite image super-resolution for road quality monitoring. [PDF]

Sci Rep
Thegeya A, Mitterling T, Njoroge C, Martinez A, Iddawela Y, Bulan JAN, Durante RL, Garonita OL, Mag-Atas J.   +8 more
europepmc   +1 more source

Vehicle Load Information Acquisition Using Roadside Micro-Electromechanical Systems Accelerometers. [PDF]

Sensors (Basel)
Zhao Q, Ye Z, Tan Z, Xu J, Wang L.
europepmc   +1 more source

A BIM-Based Digital Twin Framework for Urban Roads: Integrating MMS and Municipal Geospatial Data for AI-Ready Urban Infrastructure Management. [PDF]

Sensors (Basel)
Scolamiero V, Boccardo P.
europepmc   +1 more source

Utilization of SiO₂ Nanoparticles in Developing Superhydrophobic Coatings for Road Construction: A Short Review. [PDF]

Molecules
Kydyrbay N, Zhazitov M, Abdullah M, Toktarbay Z, Tezekbay Y, Duisebayev T, Toktarbaiuly O.   +6 more
europepmc   +1 more source

Drive-By Bridge Damage Identification Using Successive Variational Modal Decomposition and Vehicle Acceleration Response. [PDF]

Sensors (Basel)
Jiang X, Ma K, Wu J, Li Z.
europepmc   +1 more source

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Large-scale pavement roughness measurements with vehicle crowdsourced data using semi-supervised learning

Transportation Research Part C: Emerging Technologies, 2021
Rapid measurements of large-scale pavement roughness have long been a hot topic in pavement condition evaluation and maintenance. Most traditional methods rely on dedicated devices, such as laser, Lidar and so on, which should be set up on customized ...
Chenglong Liu, Difei Wu, Yishun Li
exaly   +2 more sources

Pavement Roughness In Kentucky [PDF]

, 1982
Over two hundred pavement sections in Kentucky have been periodically measured for pavement roughness over a period of several years. This pavement service-life historical data can be used to assess quality of construction, pavement service-life, present and anticipated pavement condition.
Sharpe, Gary W., Cain, David H., Southgate, Herbert F., Havens, James H., Deen, Robert C.   +4 more
openaire   +3 more sources

Evaluation of Pavement Roughness Using Smartphones

2021 IEEE International Conference on Computation System and Information Technology for Sustainable Solutions (CSITSS), 2021
A well-maintained pavement network is an essential component of good road infrastructure. Roughness is an important indicator of the condition and riding quality of pavement and influences vehicle operation costs.
Ram Thilak, null Anjaneyappa, Jeet Mehta, Vivikt Pharle, Chaturi Rajapur, Sabina Borah   +5 more
openaire   +2 more sources

Pavement Roughness Measurement and Evaluation [PDF]

, 1971
Vertical accelerations of a passenger in an automobile are automatically summed while traveling a section of road at 51.5 mph. A roughness index is obtained by summing the accelerations and dividing by the time elapsed during the test. The index is subjectively related to the riding quality of pavements.
Rizenbergs, Rolands L., Burchett, James L., Davis, Larry E.   +2 more
openaire   +3 more sources

Pavement Roughness Studies [PDF]

, 1962
Road roughness testing in Kentucky was first reported in 1949 (1). At that time, emphasis was placed on localized irregularities in pavement profiles detectable by a roller-type straight edge. The experience gained then pointed to the necessity for making a fast, continuous recording of characteristics of the road which would be more closely related to
Havens, James H.
core   +7 more sources