This paper describes a method for using location data to optimize the routing of pavement data collection vehicles. In much of the developed world, pavement testing is performed on a regular basis; the pavement testing data, in turn, serves as input to Pavement Management Systems. Currently, in the United States of America, state departments of transportation plan this data collection work by providing the list of roads that must be tested and then leave the routing of the vehicles to the equipment operators who typically execute the work in an ad hoc manner. This study presents the processes required to code the list of roads for testing, select appropriate hotels in the region of testing, and apply a Traveling Salesman Problem with Hotel Stops model to derive a route. Applying the processes to a case study shows significant cost savings associated with this method of roadway testing, as opposed to the current ad hoc methods.
Bazu, Gabriel; Khoury, John El; and Srour, F. Jordan
"Integrating Data Collection Optimization into Pavement Management Systems,"
Business & Information Systems Engineering:
Vol. 59: Iss. 3, 135-146.
Available at: https://aisel.aisnet.org/bise/vol59/iss3/2