Adaptive traffic dynamics prediction

US9536424B2 · kind B2 · utility

Assignee

• HERE GLOBAL B.V. · NL

Inventors

• Jane Macfarlane · Oakland, US
• Robert L. Grossman · River Forest, US
• Collin Bennett · River Forest, US
• James Pivarski · River Forest, US

Key dates

• Filing date: Feb 10, 2014
• Grant date: Jan 3, 2017
• Expiry date: Jun 1, 2034

Classification

• Technology area (CPC G): Physics
• CPC primary: G08G1/0141
• WIPO field: Control
• WIPO sector: Instruments

Abstract

The disclosed embodiments relate to prediction of traffic dynamics. A descriptive model is provided that uses historical probe data to create “tidal-like” patterns for the usual dynamics on the road network and creates a framework for taking a future time, e.g. in terms of month, day, time, and suggesting a typical speed for the specified road network link at that specific time. With this model, better predictions for estimated time of arrival will be derived. As opposed to blindly extrapolating from a static model, the disclosed embodiments dynamically adapt to current conditions using real time data to adapt, based on current conditions, the model from which a predicted speed may be determined.