Results 161 to 170 of about 18,744,769 (200)

Evaluating Bicycle Path Roughness: A Comparative Study Using Smartphone and Smart Bicycle Light Sensors. [PDF]

Sensors (Basel)
Ahmed T, Pirdavani A, Wets G, Janssens D.   +3 more
europepmc   +1 more source

Performance analysis and prediction of asphalt pavement containing municipal solid waste incineration bottom ash aggregate based on MEPDG. [PDF]

Sci Rep
Sun Y, Ji L, Liao J, Zhang F, Gao Y, Huang C.   +5 more
europepmc   +1 more source

A new electromagnetic method for analyzing urban road dust. [PDF]

Sci Rep
Tytko G, Dytłow S, Solecka B, Xie Y.
europepmc   +1 more source

A Comprehensive Framework for Evaluating Cycling Infrastructure: Fusing Subjective Perceptions with Objective Data. [PDF]

Sensors (Basel)
Tian K, Zheng Y, Sun Z, Yin Z, Zhu K, Liu C.   +5 more
europepmc   +1 more source

Mechanical Performance of Carbon-Fiber Geogrid-Reinforced Asphalt Pavement Systems Under High-, Low-Temperature, and Shear Loadings. [PDF]

Polymers (Basel)
Liu J, Wang Q, Wang Z, Yang G.
europepmc   +1 more source

A quantitative methodology for measuring the social sustainability of pavement deterioration. [PDF]

Sci Rep
Okte E, Boakye J, Behrend M.
europepmc   +1 more source

BS Dataset: A Tailor-Made Urban Road Pothole Dataset for Real-Time Detection and Safety-Oriented Monitoring. [PDF]

Sensors (Basel)
Benedetti R, Bortolotto V.
europepmc   +1 more source

A Bayesian decision support system for optimizing pavement management programs. [PDF]

Heliyon
Philip B, AlJassmi H.
europepmc   +1 more source

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IRI (International Roughness Index): An Indicator Of Vehicle Response

Materials Today: Proceedings, 2018
Abstract Public roads are the principle source of excitation to ground vehicles. Objective roughness/severity classification of the public roads is essential to predict vehicle response/fatigue damage at an early stage of vehicle development program.
Arun Tom Mathew, Prashant R Pawar
exaly   +2 more sources

Evaluation of low-cost consumer-level mobile phone technology for measuring international roughness index (IRI) values

Canadian Journal of Civil Engineering, 2014
International roughness index (IRI) values were calculated from multi-step processing of accelerometer data collected using three smartphone devices in three consumer vehicles under 11 test scenarios on a 1000 m stretch of secondary highway in New Brunswick.
Trevor Hanson, Eric Hildebrand
exaly   +2 more sources