3 papers
cs.CY2025
Extracting Insights from Large-Scale Telematics Data for ITS Applications: Lessons and Recommendations
Gibran Ali, Neal Feierabend, Prarthana Doshi +2
Over 90% of new vehicles in the United States now collect and transmit telematics data. Similar trends are seen in other developed countries. Transportation planners have previousl…
cs.RO2025
Summarizing Normative Driving Behavior From Large-Scale NDS Datasets for Vehicle System Development
Gregory Beale, Gibran Ali
This paper presents a methodology to process large-scale naturalistic driving studies (NDS) to describe the driving behavior for five vehicle metrics, including speed, speeding, la…
cs.SI2025
Automated Route-based Conflation Between Linear Referencing System Maps And OpenStreetMap Using Open-source Tools
Gibran Ali, Neal Feierabend, Prarthana Doshi +3
Transportation researchers and planners utilize a wide range of roadway metrics that are usually associated with different basemaps. Conflation is an important process for transfer…