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+Current roughness data are obtained through expensive but accurate procedures. The alternative of a
+cellphone accelerometer-based measurement of IRI would be of relevance as it does not require
+expensive equipment or highly qualified personnel. However, the question of its practical accuracy is
+raised and within this accuracy what its capabilities would be for pavement management and
+planification.
+To test the accuracy and repeatability of measurements, several runs under varying conditions were
+performed for Windsor Road on the 2 nd November. It was found that, in accordance to other recent
+literature, the use of a sedan car yielded results closer to reality on all surfaces and conditions, when
+compared to an SUV.
+After the use of the sedan, we found that results were repeatable and in accordance with profilometer
+roughness data. To do this we tried the software measuring roughness on Interstate Drive (PCC) and
+State Street (AC), both in Champaign, IL to confirm the accuracy on varying road surfaces, speed levels
+(15 and 30 mph) on the 7 th of November.
+Finally, its possible use as a decision support tool was assessed by contrasting the results obtained
+with current management practices with the city of Champaign. After meeting with officials from
+Champaign City Public Works (see Annex 7.2), a region was analyzed for PCI contrasting on November
+29 th the correlation between official measurements and IRI data with 3 different regression techniques
+was performed.
+In all cases an adequate correlation was found, where forest models yielded the best correlation.
+However, these are not enough to make a highly accurate prediction of PCI values (specially in mid-
+range values), rather its use is recommended for pre-screening of streets requiring in-depth studying.
+The use of this tool could give consistent readings with a set of calibrated cars from Champaign City
+Public Works, yielding a reasonable degree of accuracy for road status control over time in residential
+areas. Also, its value could be increased by coupling recorded data with video footage, and could
+become a cheap, versatile tool for PMS