May 10, 2020 · In this paper, we propose DistPre, which is a distributed fine-grained traffic speed prediction scheme for large-scale transportation networks.
The results demonstrate that DistPre provides time-efficient LSTM customization and accurate fine-grained traffic-speed prediction for large-scale ...
Aug 18, 2020 · In this paper, we propose DistPre, which is a distributed fine-grained traffic speed prediction scheme for large-scale transportation networks.
Jan 24, 2020 · We introduce a distributed approach called Distributed Automatic LSTM Customization (DALC) to customize an LSTM model for every detector in large-scale ...
May 10, 2021 · DistTune provides fine-grained, accurate, time-efficient, and adaptive traffic speed prediction for a growing transportation network.
Based on the ALC algorithm, we introduce a distributed approach called Distributed Automatic LSTM Customization (DALC) to customize an LSTM model for every ...
Feb 4, 2020 · The results show that DALC provides the best prediction accuracy and is able to achieve fine-grained traffic speed prediction for large-scale ...
Jan 24, 2020 · This paper introduces a distributed approach called Distributed Automatic LSTM Customization (DALC) to customize an L STM model for every ...
May 30, 2024 · To address this issue, this paper presents DistTune based on long short-term memory (LSTM) and the Nelder-Mead method. When encountering an ...
May 31, 2024 · Distributed Fine-Grained Traffic Speed Prediction for Large-Scale Transportation Networks Based on Automatic LSTM Customization and Sharing.