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Traffic State Estimation near Signalized Intersections

Journal of Transportation Engineering, Part A: Systems, 2023
The primary goal with which any transportation system is designed is to make efficient use of the available infrastructure to achieve better level of service (LoS). However, LoS is observed to be deteriorating on urban roads, especially near signalized intersections, primarily due to the suboptimal operation of traffic signals.
Himabindu Maripini   +2 more
openaire   +2 more sources

A Hybrid Modelling Approach for Traffic State Estimation at Signalized Intersections

2021 IEEE International Intelligent Transportation Systems Conference (ITSC), 2021
Traffic state estimation is an important part of the traffic control process and aims to creates an accurate understanding of the current situation in traffic system. Bayesian Filtering is a statistical modelling framework that is useful in representing traffic state update as well as the relation between traffic state and detection data.
Michael Sederlin   +2 more
openaire   +1 more source

Intersection Traffic State Estimation using Speed Transition Matrix and Fuzzy-based Systems

Proceedings of the 19th International Conference on Informatics in Control, Automation and Robotics, 2022
Urban traffic congestion is a significant problem for almost every city, affecting various aspects of life. Besides increasing travel time, congestion also affects air and life quality causing economic losses. The construction of infrastructure to solve congestion problems is not always feasible, and, at the end, attracts only additional traffic demand.
Majstorović, Željko   +3 more
openaire   +2 more sources

Covariance intersection algorithm for distributed spacecraft state estimation

Proceedings of the 2001 American Control Conference. (Cat. No.01CH37148), 2001
The use of a fleet of highly synchronized spacecraft to synthesize a space-based optical interferometer, as envisioned by the TPF mission of NASA Origins program, will allow for baselines large enough to achieve milli-arcsecond resolutions. We explore the use of the covariance intersection (CI) algorithm for state estimation of distributed spacecraft ...
P.O. Arambel, C. Rago, R.K. Mehra
openaire   +1 more source

Unifying consensus and covariance intersection for decentralized state estimation

2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2016
This paper presents a new recursive information consensus filter for decentralized dynamic-state estimation. Local estimators are assumed to have access only to local information and no structure is assumed about the topology of the communication network, which need not be connected at all times. Iterative Covariance Intersection (ICI) is used to reach
Amirhossein Tamjidi   +2 more
openaire   +1 more source

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