Destination prediction is an integral part of these services as it enables, for example, sight-seeing recommendations, more efficient route recommendations ...
In this paper a hierarchical approach to destination prediction is presented. A Discrete Time Markov Chain model is used to make an initial prediction of a ...
Abstract. Destination prediction in a moving vehicle has several appli- cations such as alternative route recommendations even in cases where.
This study proposed a demographics inferring framework via mining both human trajectories and geographical context data.
May 30, 2024 · This paper defines trajectory semantic inference through three key dimensions: user occupation category, activity sequence, and trajectory description.
Missing: Destination | Show results with:Destination
Jan 1, 2020 · A literature review of some of the main techniques that make use of call detail records to infer mobility patterns.
Aug 29, 2016 · Researchers from MIT and Ford Motor have developed a new computational system that uses cellphone location data to infer urban mobility patterns.
This paper introduces a data-driven approach for estimating high-dimensional travel demands. We propose a method to identify mobility patterns.
Nov 28, 2022 · This paper examines the feasibility of using discrete choice models and tree-based machine learning models for trip purpose inference.
May 30, 2024 · This paper defines trajectory semantic inference through three key dimensions: user occupation category, activity sequence, and trajectory description.