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#artificial intelligence Preprint Oct 2026

Choosing models for network-wide freeway speed estimation and forecasting from sparse fixed sensors

Most freeway agencies have fixed detectors on only part of their network but need speeds for all of it. This paper compares methods for estimating current and next-hour speeds on every link from such sparse detectors, using historical probe data for training. The test network is the Dallas--Fort Worth freeway system: 4...

Ran Tu, Zi-Hao Li, Arash Mirzaei · 0 citations
Aug 2026

A Graph Topology Method to Identify a Set of Cut Links in Critical Link Analysis for Transportation Planning

Transportation network criticality analysis aims to identify a set of links, known as cut links, based on their contribution to overall network connectivity. In recent decades, this topic has attracted increasing attention, and various graph-based methods have been proposed to assess link criticality. In this paper,...

Hong Zheng, Ran Tu, A. Mirzaei · 0 citations

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