Simulation-based approach for uncertainty assessment: Integrating GPS and GIS

• Published in: Transportation research. Part C, Emerging technologies Vol. 36; pp. 125 - 137
• Main Authors: Hong, Sungchul, Heo, Joon, Vonderohe, Alan P.
• Format: Journal Article
• Language: English
• Published: Kidlington Elsevier India Pvt Ltd 01-11-2013; Elsevier
• Subjects: Applied sciences; Buildings. Public works; Exact sciences and technology; GIS; GPS; Ground, air and sea transportation, marine construction; Road transportation and traffic; Road types (roads, freeways, express ways, etc.); Spatial data quality; Transportation infrastructure; Transportation planning, management and economics; Travel time study; Uncertainty analysis; Winter maintenance application; GIS; Travel time study; GPS; Uncertainty analysis; Spatial data quality; Winter maintenance application; Data analysis; Travel time; Uncertainty; GPS system; Transportation; Spatial analysis; Road network; Maintenance; Modeling; Case study; Winter; Simulation; Geographic information system; Road traffic
• ISSN: 0968-090X; 1879-2359
• DOI: 10.1016/j.trc.2013.08.008

•We develop positional error models for GPS data and roadway centerline maps.•Positional errors propagate though spatial operations and computational models.•We estimate error impact on outputs from GIS and GPS applications.•We examine a winter maintenance application and travel time study.•Different applications require different qualities of spatial data.
Integrating GPS with GIS provides an increased capability to handle and manage spatial and non-spatial data in a wide range of transportation applications. However, positional uncertainties inevitably exist in GPS data points and roadway centerline maps, due to the limitations of data collection methods to determine true locations. These uncertainties accumulatively propagate into output information, and consequently reduce the reliability of the GPS and GIS integrated applications for spatial problem-solving and decision-making. Thus, in this paper, a simulation-based approach is presented to estimate overall the qualities of output information from defined uncertainty levels of GPS points and roadway centerline maps. Monte Carlo simulation is then used for error propagation to output information. In case studies, the simulation approach for uncertainty assessment is conducted to a winter maintenance application and a travel time study. Uncertainty analysis results indicate that different applications require different levels of input data qualities. The winter maintenance application is sensitive to positional uncertainties in input data because uncertainties in performance measures accumulate as winter maintenance vehicles repeatedly treat roadways. However, for the travel time study, consistent travel time is estimated when the unit is converted from seconds to minutes. Thus, in comparison to the winter maintenance application, positional uncertainties have a less significant impact on the travel time study.