LSI-LSTM: An attention-aware LSTM for real-time driving destination prediction by considering location semantics and location importance of trajectory points
Sign Up to like & getrecommendations! Published in 2021 at "Neurocomputing"
DOI: 10.1016/j.neucom.2021.01.067
Abstract: Abstract Individual driving final destination prediction supports location-based services such as personalized service recommendations, traffic navigation, and public transport dispatching. However, real-time destination prediction is challenging due to the complexity of temporal dependencies, and the… read more here.
Keywords: trajectory points; location; semantics; destination prediction ... See more keywords
Trip destination prediction based on multi-day GPS data
Sign Up to like & getrecommendations! Published in 2019 at "Physica A: Statistical Mechanics and its Applications"
DOI: 10.1016/j.physa.2018.09.090
Abstract: This study presents a model system for trip destination prediction with multi-day GPS data. The pre-trip destination prediction model and the during-trip destination prediction model are constructed and calibrated for trips on weekdays and weekends,… read more here.
Keywords: destination prediction; model; trip; trip destination ... See more keywords
Improving Destination Prediction via Ensemble of Trajectory Movement Separation and Adaptive Clustering
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DOI: 10.1109/access.2020.2971388
Abstract: Destination prediction has attracted more and more attention due to its broad applications in location-based services such as traffic navigation, hotel recommendation and personalized advertising. It aims to predict future destination locations according to historical… read more here.
Keywords: trajectory movement; destination prediction; adaptive clustering; destination ... See more keywords
Segmented Trajectory Clustering-Based Destination Prediction in IoVs
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.2998063
Abstract: Location-based services have important applications in IoVs, and especially the destination-related applications have attracted more and more attention. Due to privacy consideration or operation convenience, people hesitate to share destinations to the public. Thus, these… read more here.
Keywords: destination prediction; segmented trajectory; destination; trajectory clustering ... See more keywords
A Context- and Trajectory-Based Destination Prediction of Public Transportation Users
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DOI: 10.1109/mits.2021.3132772
Abstract: Location prediction based on contextual information is the core of a plethora of personalized location-based services (LBSs). Several applications require the use of techniques for predicting travel destinations based on human movement. Network analyses of… read more here.
Keywords: information; location; destination prediction; destination ... See more keywords
Recommendation for Ridesharing Groups Through Destination Prediction on Trajectory Data
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Intelligent Transportation Systems"
DOI: 10.1109/tits.2019.2961170
Abstract: In this paper, we aim to provide an optimal passenger matching solution by recommending ridesharing groups of passengers from GPS trajectories. Existing algorithms for rider grouping usually rely on matching pre-selected origin-destination coordinates. Unfortunately, the… read more here.
Keywords: destination prediction; trajectory data; ridesharing groups; destination ... See more keywords
MDLF: A Multi-View-Based Deep Learning Framework for Individual Trip Destination Prediction in Public Transportation Systems
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Intelligent Transportation Systems"
DOI: 10.1109/tits.2021.3123342
Abstract: Understanding and predicting each individual’s real-time travel destination given the origin information in urban public transportation systems is crucial for personalized traveler recommendation, targeted demand management, dynamic traffic operations and so on. Existing methods are… read more here.
Keywords: travel; destination prediction; destination; transportation systems ... See more keywords