Online map-matching of noisy and sparse location data with hidden Markov and route choice models

• المؤلفون الرئيسيون: Jagadeesh, George Rosario, Srikanthan, Thambipillai
• مؤلفون آخرون: School of Computer Science and Engineering
• التنسيق: مقال
• اللغة: English
• منشور في: 2020
• الموضوعات: Engineering::Computer science and engineering; Intelligent Transportation Systems; Hidden Markov Models
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/145629

With the growing use of crowdsourced location data from smartphones for transportation applications, the task of map-matching raw location sequence data to travel paths in the road network becomes more important. High-frequency sampling of smartphone locations using accurate but power-hungry positio...