Experienced travel time prediction for congested freeways
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[1] Benjamin Coifman,et al. Estimating travel times and vehicle trajectories on freeways using dual loop detectors , 2002 .
[2] I Okutani,et al. Dynamic prediction of traffic volume through Kalman Filtering , 1984 .
[3] P. Rousseeuw. Silhouettes: a graphical aid to the interpretation and validation of cluster analysis , 1987 .
[4] Ludovic Leclercq,et al. Capacity drops at merges: An endogenous model , 2011 .
[5] Pravin Varaiya,et al. Freeway Performance Measurement System: Mining Loop Detector Data , 2001 .
[6] Francois Dion,et al. Estimating dynamic roadway travel times using automatic vehicle identification data for low sampling rates , 2006 .
[7] W. Weijermars,et al. Analyzing highway flow patterns using cluster analysis , 2005, Proceedings. 2005 IEEE Intelligent Transportation Systems, 2005..
[8] Jiann-Shiou Yang,et al. A study of travel time modeling via time series analysis , 2005, Proceedings of 2005 IEEE Conference on Control Applications, 2005. CCA 2005..
[9] Robert L. Bertini,et al. Toward Understanding and Reducing Errors in Real-Time Estimation of Travel Times , 2008 .
[10] L. Vanajakshi,et al. Support Vector Machine Technique for the Short Term Prediction of Travel Time , 2007, 2007 IEEE Intelligent Vehicles Symposium.
[11] Lily Elefteriadou,et al. Travel time estimation on a freeway using Discrete Time Markov Chains , 2008 .
[12] Chung-Cheng Lu,et al. A bayesian dynamic linear model approach for real-time short-term freeway travel time prediction , 2011 .
[13] Lili Du,et al. An adaptive information fusion model to predict the short-term link travel time distribution in dynamic traffic networks , 2012 .
[14] Dirk Helbing,et al. Three-phase traffic theory and two-phase models with a fundamental diagram in the light of empirical stylized facts , 2010, 1004.5545.
[15] Robert L. Bertini,et al. Techniques for Validating an Automatic Bottleneck Detection Tool Using Archived Freeway Sensor Data , 2010 .
[16] Benjamin Coifman,et al. Vehicle reidentification and travel time measurement across freeway junctions using the existing detector infrastructure , 2007 .
[17] Alexander Skabardonis,et al. Systematic Identification of Freeway Bottlenecks , 2004 .
[18] Robert L. Bertini,et al. Effects of Temporal Data Aggregation on Performance Measures and Other Intelligent Transportation Systems Applications , 2010 .
[19] Pei-Wei Lin,et al. Developments and Applications of Simulation-Based Online Travel Time Prediction System: Traveling to Ocean City, Maryland , 2006 .
[20] Alexander Skabardonis,et al. Freeway performance measurement: Mining loop detector data , 2001 .
[21] Hojjat Adeli,et al. Neural Networks in Civil Engineering: 1989–2000 , 2001 .
[22] Hironori Suzuki,et al. Application of Probe-Vehicle Data for Real-Time Traffic-State Estimation and Short-Term Travel-Time Prediction on a Freeway , 2003 .
[23] Pravin Varaiya,et al. Travel-Time Reliability as a Measure of Service , 2003 .
[24] Hojjat Adeli,et al. Wavelet Packet‐Autocorrelation Function Method for Traffic Flow Pattern Analysis , 2004 .
[25] Y. Ouyang,et al. Measurement and estimation of traffic oscillation properties , 2010 .
[26] Hojjat Adeli,et al. Neural network model for rapid forecasting of freeway link travel time , 2003 .
[27] Xiaoyan Zhang,et al. Short-term travel time prediction , 2003 .
[28] Alexandre M. Bayen,et al. Trade-offs Between Inductive Loops and GPS Probe Vehicles for Travel Time Estimation: Mobile Century Case Study , 2012 .
[29] Nikolaos Geroliminis,et al. On the spatial partitioning of urban transportation networks , 2012 .
[30] D. Rubin,et al. Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper , 1977 .
[31] Eleni I. Vlahogianni,et al. Optimized and meta-optimized neural networks for short-term traffic flow prediction: A genetic approach , 2005 .
[32] Mukesh Khare,et al. Principal component analysis of urban traffic characteristics and meteorological data , 2003 .
[33] G. F. Newell. A simplified theory of kinematic waves in highway traffic, part I: General theory , 1993 .
[34] Eleni I. Vlahogianni,et al. Empirical and Analytical Investigation of Traffic Flow Regimes and Transitions in Signalized Arterials , 2008 .
[35] J. W. C. van Lint,et al. Online Learning Solutions for Freeway Travel Time Prediction , 2008, IEEE Transactions on Intelligent Transportation Systems.
[36] Alexandre M. Bayen,et al. Incorporation of Lagrangian measurements in freeway traffic state estimation , 2010 .
[37] van Lint,et al. Reliable Real-Time Framework for Short-Term Freeway Travel Time Prediction , 2006 .
[38] Markos Papageorgiou,et al. Real-time freeway traffic state estimation based on extended Kalman filter: Adaptive capabilities and real data testing , 2008 .
[39] G. W. Milligan,et al. An examination of the effect of six types of error perturbation on fifteen clustering algorithms , 1980 .
[40] Wanli Min,et al. Real-time road traffic prediction with spatio-temporal correlations , 2011 .
[41] Corinne Ledoux,et al. An urban traffic flow model integrating neural networks , 1997 .