Next Place Prediction

Christian Schreckenberger · Christian Bartelt

13 citations0/0 files stored

No readable copy stored yet — this record is metadata only.

No open-access location is known for this record yet.

Literature note Cite in a project Citation map

Human Mobility and Location-Based Analysis Data Management and Algorithms Traffic Prediction and Management Techniques

Abstract

In this systematic literature review an overview of the recent developments in the field of Next Place Prediction is given. Next Place Prediction in this work refers to the prediction of where an individual human will go to next, based on continuous mobility data. It is therefore distinguished from other work in the field of next place prediction that uses, for example check-in data. This review aims to answer the following four questions: (1) Which features are used? (2) Which input data is required? (3) Which technique is used? (4) How is the prediction evaluated?

Paper brief

Loading…

Cite this work

Citation unavailable for this work.

BibTeX RIS CSL-JSON

No public copy is stored for this record, so only the metadata is cited.

Citations in this library

Citation map →

Stored only when both papers are in the corpus — 13 citations exist upstream.

References

2004Procedures for Performing Systematic Reviews 2003Using GPS to learn significant locations and predict movement across multiple users 2012The Mobile Data Challenge: Big Data for Mobile Computing Research 2010Towards rich mobile phone datasets: Lausanne data collection campaign 2016Big Data Driven Hidden Markov Model Based Individual Mobility Prediction at Points of Interest 2013Where Will You Go? Mobile Data Mining for Next Place Prediction 2018A Fast and Accurate Method for Estimating People Flow from Spatiotemporal Population Data 2012Next Place Prediction using Mobile Data

Cited by

2022Explaining human mobility predictions through a pattern matching algorithm 2022A Context- and Trajectory-Based Destination Prediction of Public Transportation Users

Explore the map →

Papers that cite the same references — the relational fallback while embeddings are still backfilling.

Imported from OpenAlex (CC0) — nothing here is generated.