The main objective of the SPR-3650 research project is to provide an accurate overview of striping operation so that INDOT finds a way to effectively save significant investment for purchasing new striping trucks in near future without compromising roadway striping operation and maintenance. Telematics data collection technology was selected to collect 2012 striping season operation, from April 2012 to November 2012, in real-time via wireless network to analyze complete striping operation performance including four striping trucks and multiple supporting vehicles in Crawfordsville and Greenfield district. The performance analyses include productivity, utilization, idling, WMS, materials consumption, and fleet tracking. The research focused productivity and utilization as key performance components. Productivity and utilization analyses revealed that striping operation could be improved and the striping fleets were underutilized. The potential improvement of current utilization can significantly contribute return on investment of additional asset procurement in near future. To improve the striping performance four recommendations were suggested. The research provides district boundary comparative analysis, possible operation scenarios, and performance measurement metrics as recommendations for future striping performance enhancement. Several statistical techniques such as Monte Carlo simulation and triangular distribution model were used to develop the performance metrics. An expected outcome of the research is that INDOT roadway striping operation can be improved by considering recommendations and data analyses results for future striping seasons.

Report Number



roadway operation and maintenance, striping operation, telematics, performance analysis, scenarios, metrics

SPR Number


Performing Organization

Joint Transportation Research Program

Publisher Place

West Lafayette, Indiana

Date of this Version