Improving Striping Operations through System Optimization - Phase 2

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2016-07-01
Authors
McGarvey, Ronald
Matisziw, Timothy
Noble, James
Nemmers, Charles
Karakose, Gokhan
Krause, Christopher
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Institute for Transportation
Abstract

Striping operations generate a significant workload for MoDOT maintenance operations. The requirement for each striping crew to replenish its stock of paint and other consumable items from a bulk storage facility, along with the necessity to make several passes on most of the routes to stripe all the lines on that road, introduce the potential for inefficiencies in the form of deadhead miles that striping crew vehicles must travel while not actively applying pavement markings. These inefficiencies generate unnecessary travel, wasted time, and vehicle wear.

Phase 2 updates a 2015 project that developed a decision support tool for scheduling and routing road striping operations. The updates presented in the final report improve the optimization model, which generates more user-friendly outputs.

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For this and other reports, visit the Midwest Transportation Center project page: http://www.intrans.iastate.edu/mtc/index.cfm/research/project/project/-1928248927 or the Intrans website http://www.intrans.iastate.edu/

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McGarvey, R. G., T. Matisziw, J. Noble, C. Nemmers, G. Karakose, and C. Krause. 2016. Improving Striping Operations through System Optimization – Phase 2. Midwest Transportation Center, Institute for Transportation, Iowa State University, Ames, IA.
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