Spatial–temporal attention fusion for traffic speed prediction
Sign Up to like & getrecommendations! Published in 2022 at "Soft Computing"
DOI: 10.1007/s00500-021-06521-7
Abstract: Accurate vehicle speed prediction is of great significance to the urban traffic intelligent control system. However, in terms of traffic speed prediction, the modules that integrate temporal and spatial features in the existing traffic speed… read more here.
Keywords: speed; traffic speed; prediction; term ... See more keywords
Link traffic speed forecasting using convolutional attention-based gated recurrent unit
Sign Up to like & getrecommendations! Published in 2021 at "Applied Intelligence"
DOI: 10.1007/s10489-020-02020-8
Abstract: Traffic speed forecasting becomes a thriving research area in modern transportation systems. The intensification of travel flow volumes due to fast urbanization, vehicle path planning, demands on efficient transport planning policies, commercial objectives, and many… read more here.
Keywords: traffic; network; traffic speed; speed ... See more keywords
Evaluation of influence of pavement data on measurement of deflection on asphalt surfaced pavements utilizing traffic speed deflection device
Sign Up to like & getrecommendations! Published in 2021 at "Construction and Building Materials"
DOI: 10.1016/j.conbuildmat.2020.121842
Abstract: Abstract Structural condition data is one of the critical data elements in pavement design and management for determining the needs of pavements rehabilitation. However, it is time-consuming and may raise safety concerns to use Falling… read more here.
Keywords: speed deflection; deflection; traffic speed; pavement ... See more keywords
Hybrid Deep Learning Approach for Traffic Speed Prediction.
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DOI: 10.1089/big.2021.0251
Abstract: Traffic speed prediction plays a fundamental role in traffic management and driving route planning. However, timely accurate traffic speed prediction is challenging as it is affected by complex spatial and temporal correlations. Most existing works… read more here.
Keywords: traffic; speed prediction; layer; traffic speed ... See more keywords
Truck Traffic Speed Prediction Under Non-Recurrent Congestion: Based on Optimized Deep Learning Algorithms and GPS Data
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DOI: 10.1109/access.2018.2890414
Abstract: Due to the restriction of traffic management measure in large cities, large heavy-haul trucks can only travel on the circuits and expressways around the city, which often causes congestion in these areas. It is necessary… read more here.
Keywords: speed; non recurrent; speed prediction; traffic speed ... See more keywords
Short-Term Traffic Speed Forecasting Using a Deep Learning Method Based on Multitemporal Traffic Flow Volume
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3195353
Abstract: Accurate traffic speed forecasting not only can help traffic management departments make better judgments and improve the efficacy of road monitoring but also can help drivers plan their driving routes and arrive safely and smoothly… read more here.
Keywords: flow volume; traffic; traffic speed; speed forecasting ... See more keywords
Multimodal Traffic Speed Monitoring: A Real-Time System Based on Passive Wi-Fi and Bluetooth Sensing Technology
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2021.3136031
Abstract: Traffic speed is one of the critical indicators reflecting traffic status of roadway networks. The abnormality and sudden changes of traffic speed indicate the occurrence of traffic congestions, accidents, and events. Traffic control and management… read more here.
Keywords: traffic; multimodal traffic; real time; traffic speed ... See more keywords
Predicting Short-Term Traffic Speed Using a Deep Neural Network to Accommodate Citywide Spatio-Temporal Correlations
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Intelligent Transportation Systems"
DOI: 10.1109/tits.2020.2970754
Abstract: The traffic speed on a given road segment is affected by the current and past speeds on nearby segments, and the influence further cascades into the rest of a transport network. Thus, a successful forecasting… read more here.
Keywords: neural network; deep neural; accommodate citywide; traffic speed ... See more keywords
Lane-Level Traffic Speed Forecasting: A Novel Mixed Deep Learning Model
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Intelligent Transportation Systems"
DOI: 10.1109/tits.2020.3038457
Abstract: Lane-level traffic state prediction is one of the most essential issues in the connected automated vehicle highway systems. Accurate and timely traffic state prediction of the lane sections can assist the connected automated vehicles in… read more here.
Keywords: traffic; level traffic; model; traffic speed ... See more keywords
Utilizing Attention-Based Multi-Encoder-Decoder Neural Networks for Freeway Traffic Speed Prediction
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Intelligent Transportation Systems"
DOI: 10.1109/tits.2021.3108939
Abstract: Speed prediction is a crucial yet complicated task for intelligent transportation systems. The challenge derives from the complex spatiotemporal dependencies of traffic parameters. In the past few years, deep neural networks have achieved the best… read more here.
Keywords: speed; speed prediction; traffic; traffic speed ... See more keywords
A Novel STFSA-CNN-GRU Hybrid Model for Short-Term Traffic Speed Prediction
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Intelligent Transportation Systems"
DOI: 10.1109/tits.2021.3117835
Abstract: Short-term traffic speed prediction is fundamental to intelligent transportation systems (ITS), and the accuracy of the model largely determines the performance of real-time traffic control and management. In this study, a short-term traffic speed prediction… read more here.
Keywords: traffic; prediction; traffic speed; model ... See more keywords