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Predicting Short-Term Traffic Flow by Long Short-Term Memory Recurrent Neural Network
2015 IEEE International Conference on Smart City/SocialCom/SustainCom (SmartCity), 2015Intelligent Transportation System (ITS) is a significant part of smart city, and short-term traffic flow prediction plays an important role in intelligent transportation management and route guidance. A number of models and algorithms based on time series prediction and machine learning were applied to short-term traffic flow prediction and achieved ...
Yongxue Tian, Li Pan
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Short-Term Traffic Flow Prediction using Attention-Based Long Short-Term Memory Network
2019 IEEE Fourth International Conference on Data Science in Cyberspace (DSC), 2019Real-time and effective traffic flow prediction has become an important part of intelligent traffic system. It not only helps individuals plan optimal routes, but also benefits transportation managers in making reasonable traffic guidance. An attention-based long short-term memory (ALSTM) network is proposed and applied to predict traffic flow, which ...
Peng Peng +6 more
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Short-Term Traffic Flow Prediction using DTW-BiGRU Model
2020 35th Youth Academic Annual Conference of Chinese Association of Automation (YAC), 2020Real-time and accurate traffic flow prediction is one of the key technologies of Intelligent Transportation System (ITS). Traditional traffic flow prediction models cannot extract the spatio-temporal characteristics of road traffic flow well. To solve the problem, this paper proposes a short-term traffic flow prediction model based on Dynamic Time ...
Hanyi Zou +4 more
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Short-term Traffic Flow Prediction Based on PCC-BiLSTM
2020 International Conference on Computer Engineering and Application (ICCEA), 2020Timely and accurate traffic flow information is essential for the realization of intelligent transportation systems (ITS). For the existing traffic flow prediction models, only the temporal features were extracted but the spatial features were neglects.
Hanyi Zou +3 more
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A Hybrid Method for Short-Term Traffic Flow Prediction
2020 12th International Conference on Advanced Computational Intelligence (ICACI), 2020We analyze the problem of short-term traffic flow prediction using a hybrid approach composed of regression and optimization. First, the data preprocessing method is described for the scenario of traffic flow prediction. Second, extreme gradient boosting is used to generate boosted trees that are then used to transform the input of each record. Finally,
Wei Song, Taolin Yin
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Short-Term Traffic Flow Prediction with Regime Switching Models
Transportation Research Record: Journal of the Transportation Research Board, 2006Accurate short-term prediction of traffic parameters is a critical component for many intelligent transportation system applications. Traffic flow is subject to abrupt disturbances because of various unexpected events (e.g., accidents, weather-induced disruption) that may change the underlying dynamics and the stability of the data generation process.
Mecit Cetin, Gurcan Comert
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Short-term traffic flow prediction with nearest trajectory segments
2010 Second International Conference on Computational Intelligence and Natural Computing, 2010As a key technology of Intelligent Transportation System(ITS), short-term traffic flow prediction is fundamental to traffic control and management. This paper proposes a prediction method based on nearest trajectory segments in reconstructed phase space. First, phase space reconstruction is introduced to recover dynamics traffic flow time series.
null Li Zhi-tao +2 more
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The Short-Term Traffic Flow Prediction Based on MapReduce
2016Short-term traffic volume forecasting represents a critical need for Intelligent Transportation Systems. In this paper, we propose an improved K-Nearest Neighbor model, named I-KNN, in a general MapReduce framework of distributed modeling on a Hadoop platform, to enhance the accuracy and efficiency of short-term traffic flow forecasting.
Suping Liu, Dongbo Zhang
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Prediction of Short-Term Traffic Flow Based on Similarity
Journal of Highway and Transportation Research and Development (English Edition), 2016AbstractTo improve the precision of short-term traffic flow prediction and to enhance the accuracy of programming as well as of traffic flow management, a novel short-term traffic flow prediction m...
Chun-xia Yang, Rui Fu, Yi-qin Fu
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An interpretable model for short term traffic flow prediction
Mathematics and Computers in Simulation, 2020zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Wang, Wei +6 more
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