Significance of sensor location in real-time traffic state estimation

A Ahmed, D Watling, D Ngoduy - Procedia Engineering, 2014 - Elsevier
… of estimating traffic state using real-time traffic data from … order traffic flow model to estimate
traffic for a section of freeway… macroscopic traffic flow model for freeway traffic state estimation

[PDF][PDF] Bayesian-based traffic state estimation in large-scale networks using big data

Y Gu - 2017 - kilthub.cmu.edu
… urban traffic network consisting both highways and arterials; (2) incorporate heterogeneous
data … Labels of tweets in the test set are estimated using the model and then compared to the …

Freeway traffic speed estimation of mixed traffic using data from connected and autonomous vehicles with a low penetration rate

S He, X Guo, F Ding, Y Qi… - Journal of advanced …, 2020 - Wiley Online Library
… categories of traffic state estimation methods, ie, the model-based methods and the data-…
, and the testing of other existing estimation methods are also useful for the field application. …

[图书][B] Modeling, estimation, and control of freeway traffic

X Sun - 2005 - search.proquest.com
… A mixture Kalman filter based freeway state estimator is … The test results on a short freeway
section show that, on average, … is achieved, and the performance is consistent over traffic data

Renaissance: A real-time freeway network traffic surveillance tool

Y Wang, M Papageorgiou… - 2006 IEEE Intelligent …, 2006 - ieeexplore.ieee.org
… This section outlines the traffic surveillance tasks of … Traffic state estimation refers to estimating
all traffic state variables … An adaptive freeway traffic state estimator and its real data testing-…

Parallelized particle filtering for freeway traffic state tracking

A Hegyi, L Mihaylova, R Boel… - 2007 European Control …, 2007 - ieeexplore.ieee.org
… and freeway road traffic, traffic data is collected in traffic … EKF and the UKF is compared for
traffic state estimation in [7] for … traffic state (free-flow or congested) and track the traffic speed. …

A stochastic estimation approach to real-time prediction of incident effects on freeway traffic congestion

JB Sheu, YH Chou, LJ Shen - Transportation Research Part B …, 2001 - Elsevier
… -state estimation, where a time step corresponds to a time unit of data sampling. In this study,
10 s … This section describes model testing including data acquisition, methods employed in …

An adaptive freeway traffic state estimator and its real-data testing-Part II: Adaptive capabilities

Y Wang, M Papageorgiou… - Proceedings. 2005 IEEE …, 2005 - ieeexplore.ieee.org
… CONCLUSIONS A number of tests have been conducted in this paper to evaluate the …
adaptive freeway traffic state estimator with real traffic measurement data reflecting various traffic

[PDF][PDF] Real-time freeway traffic state estimation based on the second-order divided difference Kalman filter

A Ouessai, M Keche - Transport and Telecommunication Journal, 2019 - sciendo.com
… DDKF2 traffic state estimators by means of a real time freeway traffic dataset, … freeway traffic
state estimation based on extended Kalman filter: Adaptive capabilities and real data testing, …

A hybrid machine learning approach for freeway traffic speed estimation

Z Zhang, Y Yuan, X Yang - Transportation research record, 2020 - journals.sagepub.com
… , including speed and flow, were selected as the input data for training and testing of … In
summary, all three hybrid methods can achieve higher performance in estimating freeway traffic