[HTML][HTML] How machine learning informs ride-hailing services: A survey
In recent years, online ride-hailing services have emerged as an important component of
urban transportation system, which not only provide significant ease for residents' travel …
urban transportation system, which not only provide significant ease for residents' travel …
[HTML][HTML] Research on the big data of traditional taxi and online car-hailing: A systematic review
The purpose of this paper is to provide a summary of a quick overview of the latest
developments and unprecedented opportunities for scholars who want to set foot in the field …
developments and unprecedented opportunities for scholars who want to set foot in the field …
A utility-aware general framework with quantifiable privacy preservation for destination prediction in LBSs
Destination prediction plays an important role as the basis for a variety of location-based
services (LBSs). However, it poses many threats to users' location privacy. Most related work …
services (LBSs). However, it poses many threats to users' location privacy. Most related work …
T-CONV: A convolutional neural network for multi-scale taxi trajectory prediction
Precise destination prediction of taxi trajectories can benefit many intelligent location based
services such as accurate ad for passengers. Traditional prediction approaches, which treat …
services such as accurate ad for passengers. Traditional prediction approaches, which treat …
Convolutional LSTM based transportation mode learning from raw GPS trajectories
A Nawaz, H Zhiqiu, W Senzhang… - IET Intelligent …, 2020 - Wiley Online Library
With the advancement of location acquisition technologies, a large amount of raw global
positioning system (GPS) trajectory data is produced by many moving devices. Learning …
positioning system (GPS) trajectory data is produced by many moving devices. Learning …
Model inversion attacks for prediction systems: Without knowledge of non-sensitive attributes
S Hidano, T Murakami, S Katsumata… - 2017 15th Annual …, 2017 - ieeexplore.ieee.org
While online services based on machine learning (ML) have been attracting considerable
attention in both academic and business, privacy issues are becoming a threat that cannot …
attention in both academic and business, privacy issues are becoming a threat that cannot …
A survey on next location prediction techniques, applications, and challenges
AG Chekol, MS Fufa - EURASIP Journal on Wireless Communications and …, 2022 - Springer
Next location prediction has recently gained great attention from researchers due to its
importance in different application areas. Recent growth of location-based service …
importance in different application areas. Recent growth of location-based service …
Deep trajectory clustering with autoencoders
X Olive, L Basora, B Viry, R Alligier - ICRAT 2020, 9th …, 2020 - enac.hal.science
Identification and characterisation of air traffic flows is an important research topic with many
applications areas including decision-making support tools, airspace design or traffic flow …
applications areas including decision-making support tools, airspace design or traffic flow …
A scalable framework for trajectory prediction
Trajectory prediction (TP) is of great importance for a wide range of location-based
applications in intelligent transport systems, such as location-based advertising, route …
applications in intelligent transport systems, such as location-based advertising, route …
[HTML][HTML] LSI-LSTM: An attention-aware LSTM for real-time driving destination prediction by considering location semantics and location importance of trajectory points
Individual driving final destination prediction supports location-based services such as
personalized service recommendations, traffic navigation, and public transport dispatching …
personalized service recommendations, traffic navigation, and public transport dispatching …