Abstract:
Services offered to users can now be tailored more effectively to match their behavior by enhancing destination prediction accuracy. This paper proposes a method to predi...Show MoreMetadata
Abstract:
Services offered to users can now be tailored more effectively to match their behavior by enhancing destination prediction accuracy. This paper proposes a method to predict destinations based on a personal mobility model using Long Short-Term Memory (LSTM), a recurrent neural network. The experimental results showed that the proposed method improved the prediction accuracy by combining individual mobility models with crowd mobility trends.
Date of Conference: 29 October 2024 - 01 November 2024
Date Added to IEEE Xplore: 28 November 2024
ISBN Information: