ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Articles | Volume X-G-2025
https://doi.org/10.5194/isprs-annals-X-G-2025-923-2025
https://doi.org/10.5194/isprs-annals-X-G-2025-923-2025
14 Jul 2025
 | 14 Jul 2025

Building OptiPath: A Cloud-Based system for Optimal Route Calculation using ArcGIS Enterprise

Haoyu Wang, Devika Jain, Jacob Greenspon, and Jeff Blossom

Keywords: Cloud Computing, Raster Big Data, Geospatial, ArcGIS Enterprise, Routing

Abstract. This research presents OptiPath, a system tailored for optimizing route planning within big geospatial data projects. By harnessing extensive raster data and leveraging cloud computing resources, OptiPath excels in spatial analysis and path optimization for com- plex geospatial applications. In a project involving a historical U.S. pipeline simulation, OptiPath generated 8 optimal paths, each processing 2.50 GB of raster data in an average time of 10 minutes per path. Consequently, the system efficiently processed 20GB of raster data within 1.5 hours. OptiPath accurately computes optimized paths between specified origins and destinations based on user input, aligning closely with actual routes in a time and cost-effective manner. This system’s outstanding performance makes it an asset for diverse and complex route planning projects. OptiPath operates on the New England Research Cloud (NERC), running on Esri’s ArcGIS Enterprise software. Beyond offering an effective, efficient routing solution, OptiPath underscores the immense potential of integrating cloud computing and ESRI’s big data tools for GIS applications.

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