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Evaluation of Short-Term Freeway Speed Prediction Based on Periodic Analysis Using Statistical Models and Machine Learning Models

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Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-3-030-03493-1_27openalex-snapshot
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inferredcites →https://doi.org/10.1007/s00521-010-0456-7openalex-snapshot
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inferredcites →https://doi.org/10.1007/s12205-018-0429-4openalex-snapshot
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inferredcites →https://doi.org/10.1007/s12544-015-0170-8openalex-snapshot
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inferredcites →https://doi.org/10.1016/0191-2615(94)90002-7openalex-snapshot
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inferredcites →https://doi.org/10.1016/0960-0779(94)90069-8openalex-snapshot
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inferredcites →https://doi.org/10.1016/j.chaos.2004.09.104openalex-snapshot
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inferredcites →https://doi.org/10.1016/j.eswa.2017.09.025openalex-snapshot
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inferredcites →https://doi.org/10.1016/j.iatssr.2018.09.002openalex-snapshot
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inferredcites →https://doi.org/10.1016/j.trc.2005.03.001openalex-snapshot
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inferredcites →https://doi.org/10.1016/j.trc.2006.06.001openalex-snapshot
RENAISSANCE – A unified macroscopic model-based approach to real-time freeway network traffic surveillance
inferredcites →https://doi.org/10.1016/j.trc.2007.11.003openalex-snapshot
Adaptive hybrid fuzzy rule-based system approach for modeling and predicting urban traffic flow
inferredcites →https://doi.org/10.1016/j.trc.2013.10.007openalex-snapshot
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inferredcites →https://doi.org/10.1016/j.trc.2013.11.011openalex-snapshot
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inferredcites →https://doi.org/10.1016/j.trc.2014.01.005openalex-snapshot
Short-term traffic forecasting: Where we are and where we’re going
inferredcites →https://doi.org/10.1016/j.trc.2014.02.006openalex-snapshot
Adaptive Kalman filter approach for stochastic short-term traffic flow rate prediction and uncertainty quantification
inferredcites →https://doi.org/10.1016/j.trc.2014.11.003openalex-snapshot
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inferredcites →https://doi.org/10.1016/j.trc.2015.03.014openalex-snapshot
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Macroscopic modeling of variable speed limits on freeways
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inferredcites →https://doi.org/10.1023/b:stco.0000035301.49549.88openalex-snapshot
A tutorial on support vector regression
inferredcites →https://doi.org/10.1049/iet-its.2015.0127openalex-snapshot
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inferredcites →https://doi.org/10.1049/iet-its.2016.0208openalex-snapshot
LSTM network: a deep learning approach for short‐term traffic forecast
inferredcites →https://doi.org/10.1061/(asce)0733-947x(2003)129:6(608)openalex-snapshot
Dynamic Travel Time Prediction with Real-Time and Historic Data
inferredcites →https://doi.org/10.1061/(asce)0733-947x(2003)129:6(664)openalex-snapshot
Modeling and Forecasting Vehicular Traffic Flow as a Seasonal ARIMA Process: Theoretical Basis and Empirical Results
inferredcites →https://doi.org/10.1061/(asce)0733-947x(2005)131:10(771)openalex-snapshot
Dynamic Wavelet Neural Network Model for Traffic Flow Forecasting
inferredcites →https://doi.org/10.1061/(asce)0733-947x(2006)132:2(114)openalex-snapshot
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inferredcites →https://doi.org/10.1061/(asce)te.1943-5436.0000678openalex-snapshot
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inferredcites →https://doi.org/10.1080/0144164042000195072openalex-snapshot
Short‐term traffic forecasting: Overview of objectives and methods
inferredcites →https://doi.org/10.1080/02664763.2017.1389863openalex-snapshot
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inferredcites →https://doi.org/10.1080/15472450.2011.570114openalex-snapshot
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inferredcites →https://doi.org/10.1109/tits.2004.837813openalex-snapshot
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inferredcites →https://doi.org/10.1109/tits.2016.2643005openalex-snapshot
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inferredcites →https://doi.org/10.1109/tits.2017.2774289openalex-snapshot
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inferredcites →https://doi.org/10.1109/tits.2018.2835523openalex-snapshot
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inferredcites →https://doi.org/10.1139/cjce-2014-0447openalex-snapshot
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inferredcites →https://doi.org/10.1155/2013/195824openalex-snapshot
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inferredcites →https://doi.org/10.1155/2016/9236156openalex-snapshot
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inferredcites →https://doi.org/10.1155/2019/4145353openalex-snapshot
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inferredcites →https://doi.org/10.1177/0361198119849059openalex-snapshot
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inferredcites →https://doi.org/10.1198/016214506000000456openalex-snapshot
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inferredcites →https://doi.org/10.3141/1776-25openalex-snapshot
Multivariate Vehicular Traffic Flow Prediction: Evaluation of ARIMAX Modeling
inferredcites →https://doi.org/10.3141/1857-09openalex-snapshot
Forecasting Traffic Flow Conditions in an Urban Network: Comparison of Multivariate and Univariate Approaches
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inferredcites →https://doi.org/10.3141/2443-03openalex-snapshot
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inferredcites →https://doi.org/10.3141/2467-07openalex-snapshot
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inferredcites →https://doi.org/10.3846/16484142.2016.1212734openalex-snapshot
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inferredcites →https://doi.org/10.3923/itj.2012.1508.1512openalex-snapshot
Dynamic Analysis of Kalman Filter for Traffic Flow Forecasting in Sensornets
inferredcites →https://doi.org/10.4236/ars.2013.22006openalex-snapshot
Performance and Challenges in Utilizing Non-Intrusive Sensors for Traffic Data Collection

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Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.4673691openalex-extracted
inferred← citeshttps://doi.org/10.1007/s11771-020-4447-2openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s41019-020-00151-zopenalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.aap.2020.105684openalex-snapshot
Generalized criteria for evaluating hotspot identification methods
inferred← citeshttps://doi.org/10.1016/j.autcon.2020.103443openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.commtr.2025.100226openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.eswa.2024.124466openalex-snapshot
STVANet: A spatio-temporal visual attention framework with large kernel attention mechanism for citywide traffic dynamics prediction
inferred← citeshttps://doi.org/10.1016/j.measen.2024.101297openalex-snapshot
Internet of things and optimized knn based intelligent transportation system for traffic flow prediction in smart cities
inferred← citeshttps://doi.org/10.1016/j.neucom.2022.05.083openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.physa.2024.130185openalex-snapshot
Short-term freeway traffic speed multistep prediction using an iTransformer model
inferred← citeshttps://doi.org/10.1016/j.trc.2022.103921openalex-snapshot
Traffic prediction using artificial intelligence: Review of recent advances and emerging opportunities
inferred← citeshttps://doi.org/10.1038/s41598-024-51988-7openalex-snapshot
Dimensions management of traffic big data for short-term traffic prediction on suburban roadways
inferred← citeshttps://doi.org/10.1049/iet-its.2020.0410openalex-snapshot
Efficient deep learning based method for multi‐lane speed forecasting: a case study in Beijing
inferred← citeshttps://doi.org/10.1049/itr2.12070openalex-snapshot
A deep network with analogous self‐attention for short‐term traffic flow prediction
inferred← citeshttps://doi.org/10.1049/itr2.12411openalex-snapshot
Traffic speed prediction using GARCH‐GRU hybrid model
inferred← citeshttps://doi.org/10.1049/smc2.12027openalex-snapshot
Traffic speed prediction of high‐frequency time series using additively decomposed components as features
inferred← citeshttps://doi.org/10.1080/03081060.2024.2367751openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/access.2020.3000242openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/access.2020.3027499openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/access.2021.3068652openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/access.2021.3070625openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/access.2021.3099029openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/access.2021.3115709openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/access.2023.3273304openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/cscloud-edgecom52276.2021.00030openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/icoin56518.2023.10048996openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/jsen.2020.3007809openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/ojits.2021.3133573openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/tai.2024.3459857openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/tits.2021.3083957openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/tits.2021.3117835openalex-snapshot
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inferred← citeshttps://doi.org/10.1155/2020/3463287openalex-snapshot
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inferred← citeshttps://doi.org/10.1155/2020/8147310openalex-snapshot
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inferred← citeshttps://doi.org/10.1155/2020/8828008openalex-snapshot
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inferred← citeshttps://doi.org/10.1155/2020/8828939openalex-snapshot
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inferred← citeshttps://doi.org/10.1155/2020/8845804openalex-snapshot
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inferred← citeshttps://doi.org/10.1155/2020/8854068openalex-snapshot
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inferred← citeshttps://doi.org/10.1155/2020/8858302openalex-snapshot
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inferred← citeshttps://doi.org/10.1155/2021/6638130openalex-snapshot
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inferred← citeshttps://doi.org/10.1155/2021/6671983openalex-snapshot
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inferred← citeshttps://doi.org/10.1155/2021/7328056openalex-snapshot
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inferred← citeshttps://doi.org/10.1155/2021/8871876openalex-snapshot
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inferred← citeshttps://doi.org/10.1155/2022/4260244openalex-snapshot
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inferred← citeshttps://doi.org/10.1155/2022/5221362openalex-snapshot
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inferred← citeshttps://doi.org/10.1155/atr/9941856openalex-snapshot
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inferred← citeshttps://doi.org/10.11606/d.3.2022.tde-05022024-110716openalex-snapshot
Método escalável de estimação de demanda origem destino a partir de dados de identificação automática de veículos.
inferred← citeshttps://doi.org/10.1371/journal.pone.0235282openalex-snapshot
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inferred← citeshttps://doi.org/10.1371/journal.pone.0238200openalex-snapshot
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inferred← citeshttps://doi.org/10.1631/fitee.2500169openalex-snapshot
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inferred← citeshttps://doi.org/10.2174/0123520965266074231005053838openalex-snapshot
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inferred← citeshttps://doi.org/10.3390/app15010364openalex-snapshot
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inferred← citeshttps://doi.org/10.3390/futuretransp3010017openalex-snapshot
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inferred← citeshttps://doi.org/10.3390/s20185045openalex-snapshot
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inferred← citeshttps://doi.org/10.52783/jes.3732openalex-snapshot
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inferred← citeshttps://doi.org/10.7307/ptt.v36i4.505openalex-snapshot
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