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America has over 4 million miles of roads and, as one might expect, monitoring them can be a monumental task.  
To collect high-quality data on the conditions of their roads, departments of transportation (DOTs) can expect to spend $200 per mile for state-of-the-art laser profilers. For cities and states, these costs are prohibitive and often force them to resort to rudimentary approaches, like visual inspection.
Over the past three years, a collaboration between the MIT Concrete Sustainability Hub (CSHub), the University of Massachusetts at Dartmouth, Birzeit University, and the American University of Beirut has sought to give DOTs a cheaper, but equally accurate, alternative. ....

United States , University Of Massachusetts , Franz Josef Ulm , Arghavan Louhghalam , Jake Roxon , Mazdak Tootkaboni , University Of Massachusetts At Dartmouth , Department Of Civil , American University Of Beirut , Proceedings Of The Royal Society , Birzeit University , International Roughness Index , American Society Of Civil Engineers , Sustainability Hub , American University , Data Centric Engineeringand , Royal Society , Greater Boston , Federal Highway Administration , American Society , Josef Ulm , Environmental Engineering , ஒன்றுபட்டது மாநிலங்களில் , பல்கலைக்கழகம் ஆஃப் மாசசூசெட்ஸ் , ஃப்ரான்ஸ் ஜோஸெஃப் அல்ம் , பல்கலைக்கழகம் ஆஃப் மாசசூசெட்ஸ் இல் டார்ட்மவுத் ,