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Wisconsin Department of Transportation: Transportation Planning Manual. Retrieved from Department of Transportation, State of Wisconsin
Per Högberg (1976)
Estimation of parameters in models for traffic prediction: A non-linear regression approachTransportation Research, 10
Wenhao Huang, Guojie Song, Haikun Hong, Kunqing Xie (2014)
Deep Architecture for Traffic Flow Prediction: Deep Belief Networks With Multitask LearningIEEE Transactions on Intelligent Transportation Systems, 15
Xiaoyan Zhang, J. Rice (2003)
Short-term travel time predictionTransportation Research Part C-emerging Technologies, 11
Chaomei Chen, R. Dubin, Meen Kim (2014)
Orphan drugs and rare diseases: a scientometric review (2000 – 2014)Expert Opinion on Orphan Drugs, 2
Chenyi Chen, Yin Wang, Li Li, Jianming Hu, Zuo Zhang (2012)
The retrieval of intra-day trend and its influence on traffic predictionTransportation Research Part C-emerging Technologies, 22
Billy Williams (2001)
Multivariate Vehicular Traffic Flow Prediction: Evaluation of ARIMAX ModelingTransportation Research Record, 1776
Brian Smith, Billy Williams, R. Oswald (2002)
Comparison of parametric and nonparametric models for traffic flow forecastingTransportation Research Part C-emerging Technologies, 10
Xianbo Zhao (2017)
A scientometric review of global BIM research: Analysis and visualizationAutomation in Construction, 80
Arzoo Miglani, Neeraj Kumar (2019)
Deep learning models for traffic flow prediction in autonomous vehicles: A review, solutions, and challengesVeh. Commun., 20
S. Kothari, H. Oh (1993)
Neural Networks for Pattern RecognitionAdv. Comput., 37
F. Guo, Wei Lv, Li Liu, Tianbo Wang, V. Duffy (2019)
Bibliometric analysis of simulated driving research from 1997 to 2016Traffic Injury Prevention, 20
M. Karlaftis, E. Vlahogianni (2011)
Statistical methods versus neural networks in transportation research: Differences, similarities and some insightsTransportation Research Part C-emerging Technologies, 19
Billy Williams, L. Hoel (2003)
Modeling and Forecasting Vehicular Traffic Flow as a Seasonal ARIMA Process: Theoretical Basis and Empirical ResultsJournal of Transportation Engineering, 129
A. Stathopoulos, L. Dimitriou, T. Tsekeris (2008)
Fuzzy Modeling Approach for Combined Forecasting of Urban Traffic FlowComputer‐Aided Civil and Infrastructure Engineering, 23
Huchang Liao, Ming Tang, L. Luo, Chunyang Li, F. Chiclana, Xiao-Jun Zeng (2018)
A Bibliometric Analysis and Visualization of Medical Big Data ResearchSustainability, 10
M. Mills, C. Rahal (2019)
A scientometric review of genome-wide association studiesCommunications Biology, 2
Dongjoo Park, L. Rilett (1998)
Forecasting Multiple-Period Freeway Link Travel Times Using Modular Neural NetworksTransportation Research Record, 1617
Jinbo Song, Honglian Zhang, Wanli Dong (2016)
A review of emerging trends in global PPP research: analysis and visualizationScientometrics, 107
H. Adeli (2001)
Neural Networks in Civil Engineering: 1989–2000Computer‐Aided Civil and Infrastructure Engineering, 16
D.J. Park, L.R. Rilett (1998)
Land Use and Transportation Planning and Programming Applications
J. Guo, Wei Huang, Billy Williams (2014)
Adaptive Kalman filter approach for stochastic short-term traffic flow rate prediction and uncertainty quantificationTransportation Research Part C-emerging Technologies, 43
Manoel Castro-Neto, Young-Seon Jeong, M. Jeong, Lee Han (2009)
Online-SVR for short-term traffic flow prediction under typical and atypical traffic conditionsExpert Syst. Appl., 36
Shiliang Sun, Changshui Zhang, Guoqiang Yu (2006)
A bayesian network approach to traffic flow forecastingIEEE Transactions on Intelligent Transportation Systems, 7
Nees Eck, L. Waltman (2009)
Software survey: VOSviewer, a computer program for bibliometric mappingScientometrics, 84
I. Okutani, Y. Stephanedes (1984)
Dynamic prediction of traffic volume through Kalman Filtering
Xiaolei Ma, Zhimin Tao, Yinhai Wang, Haiyang Yu, Yunpeng Wang (2015)
Long short-term memory neural network for traffic speed prediction using remote microwave sensor dataTransportation Research Part C-emerging Technologies, 54
Weizhong Zheng, Der-Horng Lee, Q. Shi (2006)
Short-term freeway traffic flow prediction : Bayesian combined neural network approachJournal of Transportation Engineering-asce, 132
J. Miller, Hao Peng, Casey Bowman (2017)
Advanced tutorial on microscopic discrete-event traffic simulation2017 Winter Simulation Conference (WSC)
Wanli Min, L. Wynter (2011)
Real-time road traffic prediction with spatio-temporal correlationsTransportation Research Part C-emerging Technologies, 19
Meen Kim, Chaomei Chen (2015)
A scientometric review of emerging trends and new developments in recommendation systemsScientometrics, 104
I. Laña, J. Ser, M. Vélez, E. Vlahogianni (2018)
Road Traffic Forecasting: Recent Advances and New ChallengesIEEE Intelligent Transportation Systems Magazine, 10
M. Ahmed, A. Cook (1979)
ANALYSIS OF FREEWAY TRAFFIC TIME-SERIES DATA BY USING BOX-JENKINS TECHNIQUESTransportation Research Record
Zhigao Liu, Yimei Yin, Weidong Liu, M. Dunford (2015)
Visualizing the intellectual structure and evolution of innovation systems research: a bibliometric analysisScientometrics, 103
Abhijit Dharia, H. Adeli (2003)
Neural network model for rapid forecasting of freeway link travel timeEngineering Applications of Artificial Intelligence, 16
Brian Smith, M. Demetsky (1997)
TRAFFIC FLOW FORECASTING: COMPARISON OF MODELING APPROACHESJournal of Transportation Engineering-asce, 123
M. Voort, M. Dougherty, Susan Watson (1996)
Combining kohonen maps with arima time series models to forecast traffic flowTransportation Research Part C-emerging Technologies, 4
B.M. Williams (1998)
Traffic Flow Theory: Simulation Models, Macroscopic Flow Relationships, and Flow Estimation and Prediction
M. Hamed, H. Al-Masaeid, Zahi Said (1995)
Short-Term Prediction of Traffic Volume in Urban ArterialsJournal of Transportation Engineering-asce, 121
Dejian Yu (2015)
A scientometrics review on aggregation operator researchScientometrics, 105
Manchun Tan, S. Wong, Jian-min Xu, Zhan-Rong Guan, Peng Zhang (2009)
An Aggregation Approach to Short-Term Traffic Flow PredictionIEEE Transactions on Intelligent Transportation Systems, 10
Xiaomo Jiang, H. Adeli (2005)
Dynamic Wavelet Neural Network Model for Traffic Flow ForecastingJournal of Transportation Engineering-asce, 131
Yisheng Lv, Y. Duan, Wenwen Kang, Z. Li, Feiyue Wang (2015)
Traffic Flow Prediction With Big Data: A Deep Learning ApproachIEEE Transactions on Intelligent Transportation Systems, 16
E. Vlahogianni, M. Karlaftis, J. Golias (2014)
Short-term traffic forecasting: Where we are and where we’re goingTransportation Research Part C-emerging Technologies, 43
J. Lint (2008)
Online Learning Solutions for Freeway Travel Time PredictionIEEE Transactions on Intelligent Transportation Systems, 9
Billy Williams, Priya Durvasula, Donald Brown (1998)
Urban Freeway Traffic Flow Prediction: Application of Seasonal Autoregressive Integrated Moving Average and Exponential Smoothing ModelsTransportation Research Record, 1644
E. Vlahogianni, J. Golias, M. Karlaftis (2004)
Short‐term traffic forecasting: Overview of objectives and methodsTransport Reviews, 24
Chaomei Chen (2006)
CiteSpace II: Detecting and visualizing emerging trends and transient patterns in scientific literatureJ. Assoc. Inf. Sci. Technol., 57
Brian Smith, M. Demetsky (1994)
Short-term traffic flow prediction models-a comparison of neural network and nonparametric regression approachesProceedings of IEEE International Conference on Systems, Man and Cybernetics, 2
Hoang Nguyen, L. Kieu, Tao Wen, C. Cai (2018)
Deep learning methods in transportation domain: a reviewIET Intelligent Transport Systems
Timothy Olawumi, Daniel Chan (2018)
A scientometric review of global research on sustainability and sustainable developmentJournal of Cleaner Production, 183
H. Dia (2001)
An object-oriented neural network approach to short-term traffic forecastingEur. J. Oper. Res., 131
Yibing Wang, M. Papageorgiou (2005)
Real-time freeway traffic state estimation based on extended Kalman filter: a general approachTransportation Research Part B-methodological, 39
Sangsoo Lee, D. Fambro (1999)
Application of Subset Autoregressive Integrated Moving Average Model for Short-Term Freeway Traffic Volume ForecastingTransportation Research Record, 1678
M. Dougherty (1995)
A REVIEW OF NEURAL NETWORKS APPLIED TO TRANSPORTTransportation Research Part C-emerging Technologies, 3
Xiaorong He, Yingyu Wu, Dejian Yu, J. Merigó (2017)
Exploring the Ordered Weighted Averaging Operator Knowledge Domain: A Bibliometric AnalysisInternational Journal of Intelligent Systems, 32
G. Davis, N. Nihan (1991)
Nonparametric Regression and Short‐Term Freeway Traffic ForecastingJournal of Transportation Engineering-asce, 117
Stephen Clark (2003)
Traffic Prediction Using Multivariate Nonparametric RegressionJournal of Transportation Engineering-asce, 129
Hong-ying Yin, S. Wong, Jian-min Xu, C. Wong (2002)
Urban traffic flow prediction using a fuzzy-neural approachTransportation Research Part C-emerging Technologies, 10
E. Vlahogianni, M. Karlaftis, J. Golias (2005)
Optimized and meta-optimized neural networks for short-term traffic flow prediction: A genetic approachTransportation Research Part C-emerging Technologies, 13
Chun-Hsin Wu, Jan-Ming Ho, D. Lee (2004)
Travel-time prediction with support vector regressionIEEE Transactions on Intelligent Transportation Systems, 5
A. Stathopoulos, M. Karlaftis (2003)
A multivariate state space approach for urban traffic flow modeling and predictionTransportation Research Part C-emerging Technologies, 11
J. Lint, S. Hoogendoorn, H. Zuylen (2005)
Accurate freeway travel time prediction with state-space neural networks under missing dataTransportation Research Part C-emerging Technologies, 13
K. Boyack, R. Klavans (2010)
Co-citation analysis, bibliographic coupling, and direct citation: Which citation approach represents the research front most accurately?J. Assoc. Inf. Sci. Technol., 61
B.M. Williams (2001)
Traffic Flow Theory and Highway Capacity 2001: Highway Operations, Capacity, and Traffic Control
IET Intelligent Transport Systems – Wiley
Published: Jan 1, 2021
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