Extended Observer for Urban Traffic Control Based on Limited Measurements From Connected Vehicles

Papapanagiotou, Eftychios; Busch, Fritz

doi:10.1109/tits.2019.2939904

Cited by 5 publications

(3 citation statements)

References 24 publications

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“…, where p (s n |v n 1 ) are the filtered posterior probabilities of jumps, whose recursive calculation is detailed in (7) and (8). Hence it is possible to predict both traffic flow…”

Section: One-step Ahead Traffic State Predictionmentioning

confidence: 99%

Toward a Cost-Effective Motorway Traffic State Estimation From Sparse Speed and GPS Data

et al. 2021

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In this paper, we propose a new data-driven traffic state estimation model that estimates traffic flow based on average speed data only. The model is devised to implement a cost-effective framework that aggregates heterogeneous sources of vehicles' GPS and speed measurements to infer traffic flow using a novel triplet system called Conditionally Gaussian Observed Markov Fuzzy Switching Systems (CGOMFSM). Unlike its hard counterpart, CGOMFSM allows for a transient and gradual representation of traffic state transition and hence improves the estimation performance using a tractable scheme. The potential of the proposed model is illustrated through an application to the problem of traffic incident detection, particularly sporadic traffic congestion caused by unexpected road conditions. The performance of the proposed model is assessed using real traffic datasets from England highways. A simulation of traffic in the city of Salalah in Oman was conducted to evaluate the efficacy of the CGOMFSM-based traffic estimation and incident detection schemes with different penetration rates.

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“…, where p (s n |v n 1 ) are the filtered posterior probabilities of jumps, whose recursive calculation is detailed in (7) and (8). Hence it is possible to predict both traffic flow…”

Section: One-step Ahead Traffic State Predictionmentioning

confidence: 99%

Toward a Cost-Effective Motorway Traffic State Estimation From Sparse Speed and GPS Data

et al. 2021

View full text Add to dashboard Cite

show abstract

“…erefore, the queue length is used to reflect the intersection efficiency. At a signal control intersection, a certain queue length is allowed under certain conditions [19][20][21]. Hence, it is essential to set an expected queue length.…”

Section: Problem Descriptionmentioning

confidence: 99%

A Dynamic Control Method for Signalized Intersections Using the Flow Fluctuation Amplitude

Hang

Zhou

Wang

2020

Discrete Dynamics in Nature and Society

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Intersections are a vital component of the urban road network. Their use is essential for traffic efficiency and operational stability. In this paper, a dynamic control method for two-phase signal control intersection is proposed by using the intercycle flow standard deviation. This technique can dynamically assign weights to different control goals of traffic efficiency and operational stability. For intersections with large flow fluctuation amplitudes, greater weight is given to the control goal of operational stability to reduce the sensitivity of the signal control on flow fluctuation. For intersections with a small flow fluctuation amplitude, greater weight is given to the control goal of traffic efficiency to maximize the intersection throughput. Compared with the plan selection and pretimed control method, the numerical results can validate that this method has better control performance under different flow fluctuations amplitude. The fluctuation range length is significantly optimized, especially in the cases of the low and medium flow saturation conditions.

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“…the past decade has seen a boom in the research of using cAv information for optimizing signals and timing plans. the focus of these studies has been on different objectives-such as minimizing delays [13], [14], total queue length [15], [16] and green splits [17], [18], [19]. the literature review includes various studies that develop intersection management applications for cAv passing through signalized intersections.…”

mentioning

confidence: 99%

A cooperative framework for Urban SEMI actuated signa l control at signa lized t-intersections in mixed traffic flow

Alanazi¹,

Yi²

2022

Int. J. TDI

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cities are suffering because of the rapid urbanization and population boom, which lead to increasing the load on the current traffic systems. current traffic systems also suffer from several problems such as traffic congestion. meanwhile, transportation engineering has rapidly evolved into a technical field, considerably induced by new technologies and algorithms to address today's challenges. the rise of connected and automated vehicle (cAv) emerging technology has brought new prospects to the automobile industry and transportation system during the past decade. this paper develops and evaluates a framework for cAvs to create additional suitable gaps to the minor road vehicles to reduce the interruption of the continuous flow on semi-actuated signalized intersections. A simulation platform was developed using viSSim software to validate the effectiveness of the proposed framework. Simulation results show that the proposed algorithm improves the intersection performance where the major road delay decreases, and the intersection's capacity increases. the throughput of the targeted intersection increased up to 34% when the cAvs penetration reaches 70%.

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Extended Observer for Urban Traffic Control Based on Limited Measurements From Connected Vehicles

Cited by 5 publications

References 24 publications

Toward a Cost-Effective Motorway Traffic State Estimation From Sparse Speed and GPS Data

Toward a Cost-Effective Motorway Traffic State Estimation From Sparse Speed and GPS Data

A Dynamic Control Method for Signalized Intersections Using the Flow Fluctuation Amplitude

A cooperative framework for Urban SEMI actuated signa l control at signa lized t-intersections in mixed traffic flow

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