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Traffic State Estimation on a Two-Dimensional Network by a State-Space Model

https://doi.org/10.1016/j.trpro.2019.05.017
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What this work says

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

inferredcites →https://doi.org/10.1007/978-1-4757-3437-9openalex-snapshot
Sequential Monte Carlo Methods in Practice
inferredcites →https://doi.org/10.1007/s11071-006-9112-2openalex-snapshot
Investigation of the adaptive features of a real-time nonlinear freeway traffic state estimator
inferredcites →https://doi.org/10.1016/0191-2615(94)00022-ropenalex-snapshot
The cell transmission model, part II: Network traffic
inferredcites →https://doi.org/10.1016/j.trb.2004.04.003openalex-snapshot
A variational formulation of kinematic waves: basic theory and complex boundary conditions
inferredcites →https://doi.org/10.1016/j.trb.2004.05.003openalex-snapshot
A variational formulation of kinematic waves: Solution methods
inferredcites →https://doi.org/10.1016/j.trb.2009.10.005openalex-snapshot
Incorporation of Lagrangian measurements in freeway traffic state estimation
inferredcites →https://doi.org/10.1016/j.trb.2012.03.006openalex-snapshot
Arterial travel time forecast with streaming data: A hybrid approach of flow modeling and machine learning
inferredcites →https://doi.org/10.1016/j.trb.2017.05.016openalex-snapshot
Networked traffic state estimation involving mixed fixed-mobile sensor data using Hamilton-Jacobi equations
inferredcites →https://doi.org/10.1016/j.trb.2017.06.012openalex-snapshot
Simultaneous estimation of states and parameters in Newell’s simplified kinematic wave model with Eulerian and Lagrangian traffic data
inferredcites →https://doi.org/10.1016/j.trc.2011.05.006openalex-snapshot
Implementing kinematic wave theory to reconstruct vehicle trajectories from fixed and probe sensor data
inferredcites →https://doi.org/10.1016/j.trc.2015.02.011openalex-snapshot
How much GPS data do we need?
inferredcites →https://doi.org/10.1016/j.trc.2015.07.005openalex-snapshot
Real-time traffic state estimation in urban corridors from heterogeneous data
inferredcites →https://doi.org/10.1016/j.trc.2017.05.013openalex-snapshot
Dynamic demand estimation and prediction for traffic urban networks adopting new data sources
inferredcites →https://doi.org/10.1016/j.trc.2017.12.007openalex-snapshot
Network-wide traffic state estimation using a mixture Gaussian graphical model and graphical lasso
inferredcites →https://doi.org/10.1016/j.trc.2018.05.009openalex-snapshot
A generic data assimilation framework for vehicle trajectory reconstruction on signalized urban arterials using particle filters
inferredcites →https://doi.org/10.1016/j.trc.2018.05.020openalex-snapshot
A data fusion approach for real-time traffic state estimation in urban signalized links
inferredcites →https://doi.org/10.1016/j.trd.2017.04.042openalex-snapshot
Traffic state and emission estimation for urban expressways based on heterogeneous data
inferredcites →https://doi.org/10.1016/j.trpro.2014.10.077openalex-snapshot
Calibration Framework based on Bluetooth Sensors for Traffic State Estimation Using a Velocity based Cell Transmission Model
inferredcites →https://doi.org/10.1016/j.trpro.2015.09.058openalex-snapshot
Mesoscopic Traffic State Estimation based on a Variational Formulation of the LWR Model in Lagrangian-space Coordinates and Kalman Filter
inferredcites →https://doi.org/10.1016/j.trpro.2017.03.076openalex-snapshot
Real-time Monitoring of Dynamic Traffic States by State-Space Model
inferredcites →https://doi.org/10.1080/01621459.1998.10473780openalex-snapshot
Theory and Methods
inferredcites →https://doi.org/10.1080/12265934.2013.776291openalex-snapshot
Fusion of probe and fixed sensor data for short-term traffic prediction in urban signalized arterials
inferredcites →https://doi.org/10.1109/cdc.2008.4739016openalex-snapshot
An ensemble Kalman filtering approach to highway traffic estimation using GPS enabled mobile devices
inferredcites →https://doi.org/10.1109/simul.2010.28openalex-snapshot
DynaMIT 2.0: The Next Generation Real-Time Dynamic Traffic Assignment System
inferredcites →https://doi.org/10.1109/tits.2011.2175728openalex-snapshot
Localized Extended Kalman Filter for Scalable Real-Time Traffic State Estimation
inferredcites →https://doi.org/10.1109/tsp.2003.816758openalex-snapshot
Gaussian particle filtering
inferredcites →https://doi.org/10.2307/2669862openalex-snapshot
A Self-Organizing State-Space Model
inferredcites →https://doi.org/10.5194/npg-14-395-2007openalex-snapshot
Merging particle filter for sequential data assimilation

What points at this work

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

inferred← citeshttps://doi.org/10.2139/ssrn.4760734openalex-extracted
Physics-Informed Framework for Dynamic Traffic State Prediction: A Cell Transformer Approach at Signalized Intersections
inferred← citeshttps://doi.org/10.1007/978-3-030-32216-8_9openalex-snapshot
A SDN-Based Network Traffic Estimating Algorithm in Power Telecommunication Network
inferred← citeshttps://doi.org/10.1007/s11067-022-09582-9openalex-snapshot
Traffic Graph Convolutional Network for Dynamic Urban Travel Speed Estimation
inferred← citeshttps://doi.org/10.1061/jtepbs.teeng-8819openalex-snapshot
Traffic State Estimation with Stochastic Three-Detector Modeling Considering Heteroscedasticity
inferred← citeshttps://doi.org/10.1080/21680566.2021.2002738openalex-snapshot
Experimental assessment of traffic density estimation at link and network level with sparse data
inferred← citeshttps://doi.org/10.1109/access.2021.3069770openalex-snapshot
Review of Data Fusion Methods for Real-Time and Multi-Sensor Traffic Flow Analysis
inferred← citeshttps://doi.org/10.1109/itsc48978.2021.9564540openalex-snapshot
A Hybrid Modelling Approach for Traffic State Estimation at Signalized Intersections
inferred← citeshttps://doi.org/10.1145/3495018.3495053openalex-snapshot
KF-TGCN: An Approach to Integrate Expert Knowledge with Graph Convolutional Network for Traffic Prediction
inferred← citeshttps://doi.org/10.1145/3512576.3512654openalex-snapshot
Traffic Status Identification Based On Clustering Algorithm
inferred← citeshttps://doi.org/10.26577/jmmcs2024121110openalex-snapshot
Defection of operating system vulnerabilities and network traffic analysis methods
inferred← citeshttps://doi.org/10.7717/peerj-cs.2625openalex-snapshot
Transformer model-based multi-scale fine-grained identification and classification of regional traffic states
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