Traffic Assignment Based on Parsimonious Data: The Ideal Flow Network

• Main Authors: Teknomo, Kardi, Gardon, Roselle Wednesday
• 格式: text
• 出版: Archīum Ateneo 2019
• 主題: Stochastic processes; Roads; Entropy; Urban areas; Sensors; Computational modeling; Computer Sciences; Databases and Information Systems; Transportation
• 在線閱讀: https://archium.ateneo.edu/discs-faculty-pubs/271; https://ieeexplore.ieee.org/abstract/document/8917426

Traffic assignment models are used to estimate and distribute flows in a road network so that congestion and travel time delay are minimized. However, most of these models require the costly origin-destination (OD) data. In this paper, through the ideal flow network (IFN) and the maximum entropy pri...