Journal article 402 views 4 downloads
Predicting Next Useful Location With Context-Awareness: The State-Of-The-Art
,
Arkady Zaslavsky ,
Rakib Abdur ,
Siraj Shaikh ,
Seng W. Loke ,
GUANG-LI HUANG ,
Alireza Hassani
ACM Transactions on Intelligent Systems and Technology, Volume: 16, Issue: 5, Pages: 1 - 35
Swansea University Author:
Siraj Shaikh
-
PDF | Version of Record
© 2025 Copyright held by the owner/author(s). This work is licensed under a Creative Commons Attribution International 4.0.
Download (58.09MB)
DOI (Published version): 10.1145/3744653
Abstract
Predicting the future location of mobile objects reinforces location-aware services with proactive intelligence and helps businesses and decision-makers with better planning and near real-time scheduling in different applications such as traffic congestion control, location-aware advertisements, and...
| Published in: | ACM Transactions on Intelligent Systems and Technology |
|---|---|
| ISSN: | 2157-6904 2157-6912 |
| Published: |
Association for Computing Machinery (ACM)
2025
|
| Online Access: |
Check full text
|
| URI: | https://cronfa.swan.ac.uk/Record/cronfa69739 |
| Abstract: |
Predicting the future location of mobile objects reinforces location-aware services with proactive intelligence and helps businesses and decision-makers with better planning and near real-time scheduling in different applications such as traffic congestion control, location-aware advertisements, and monitoring public health and well-being. Recent developments in smartphone and location sensors technology and the prevalence of using location-based social networks alongside the improvements in artificial intelligence and machine learning techniques provide an excellent opportunity to exploit massive amounts of historical and real-time contextual information to recognise mobility patterns and achieve more accurate and intelligent predictions. This unique survey provides a comprehensive overview of the next useful location prediction problem with context-awareness and the related studies. First, we explain the concepts of context and context-awareness and define the next location prediction problem. Then we analyse more than thirty studies in this field concerning the prediction method, the challenges addressed, the datasets and metrics used for training and evaluating the model, and the types of context incorporated. Finally, we discuss the advantages and disadvantages of different approaches, focusing on the usefulness of the predicted location and identifying the open challenges and future work on this subject. |
|---|---|
| Keywords: |
Location prediction, Context-awareness, Location-awareness, Mobility prediction |
| College: |
Faculty of Science and Engineering |
| Issue: |
5 |
| Start Page: |
1 |
| End Page: |
35 |