Stochastic Model-Based Heuristics for Fast Field of View Loss Recovery in Urban Traffic Management Through Networks of Video Cameras

Istin, Codruta; Pescaru, Dan; Doboli, Alex

doi:10.1109/tits.2011.2123095

Cited by 9 publications

(4 citation statements)

References 25 publications

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“… Extract a great amount of information compared with traffic counts which in turn permits developing a model with more flow equations for the same number of variables [ 14 ]. Obtain the full observability of the traffic flows if the budget is sufficient to buy the needed number of sensors [ 15 , 16 ]. Being combined with other sources of data to improve the results [ 17 ].…”

Section: Introductionmentioning

confidence: 99%

“…Obtain the full observability of the traffic flows if the budget is sufficient to buy the needed number of sensors [ 15 , 16 ].…”

Section: Introductionmentioning

confidence: 99%

“…An extra step to complement the aforementioned steps is the error recovery that may occur when recognizing plate numbers. This problem is a very important issue to deal with when plate scanning data is used for traffic flow estimation, which some authors have been faced using different approaches [ 16 , 19 , 20 ].…”

Section: Introductionmentioning

confidence: 99%

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A Low-Cost Automatic Vehicle Identification Sensor for Traffic Networks Analysis

Álvarez-Bazo

Sánchez-Cambronero

Vallejo

et al. 2020

Sensors

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In recent years, different techniques to address the problem of observability in traffic networks have been proposed in multiple research projects, being the technique based on the installation of automatic vehicle identification sensors (AVI), one of the most successful in terms of theoretical results, but complex in terms of its practical application to real studies. Indeed, a very limited number of studies consider the possibility of installing a series of non-definitive plate scanning sensors in the elements of a network, which allow technicians to obtain a better conclusions when they deal with traffic network analysis such as urbans mobility plans that involve the estimation of traffic flows for different scenarios. With these antecedents, the contributions of this paper are (1) an architecture to deploy low-cost sensors network able to be temporarily installed on the city streets as an alternative of rubber hoses commonly used in the elaboration of urban mobility plans; (2) a design of the low-cost, low energy sensor itself, and (3) a sensor location model able to establish the best set of links of a network given both the study objectives and of the sensor needs of installation. A case of study with the installation of as set of proposed devices is presented, to demonstrate its viability.

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Section: Introductionmentioning

confidence: 99%

“…Obtain the full observability of the traffic flows if the budget is sufficient to buy the needed number of sensors [ 15 , 16 ].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

A Low-Cost Automatic Vehicle Identification Sensor for Traffic Networks Analysis

Álvarez-Bazo

Sánchez-Cambronero

Vallejo

et al. 2020

Sensors

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“…Stochastic processes arise naturally in many applications [29][30][31][32][33][34]. In this work, we are concerned with multivariable stochastic processes that are measureable and accumulated at defined intervals over a period.…”

Section: Concept Of Concatenated Processmentioning

confidence: 99%

Characterization and parameterization of dynamic wireless channels over long duration using evolutionary channel parameters

Chude-Okonkwo¹,

Chude-Olisah²,

Nunoo³

et al. 2015

Int J Communication

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Summary The characterization and parameterization of processes that arise in many fields of science and technology are very crucial. Of particular importance are dynamic processes whose statistics are time‐varying and are often modeled as stochastic processes. A typical example of such process is the wireless communication channel. Existing methods that are used to characterize and parameterize the dynamic stochastic wireless channel often consider short‐term duration over which the channel statistics are invariant. Conversely, this paper presents the characterization of the dynamic wireless communication channel over a long‐term duration where time/frequency channel realizations are obtained at sample intervals. To structure such channel realizations over a long duration, the idea of concatenating the ‘instantaneous’ channel realizations is presented. The resultant concatenated multivariable process is characterized using the concepts of process non‐summability and piecewise separability. Based on these concepts, the second‐order statistical parameterization of the concatenated stochastic process in both time and frequency domain is presented. The parameterization approach is based on fitting appropriate set of unit step functions that approximate the raw concatenated data using sets of evolutionary stationarity parameters. To illustrate the concepts developed in this paper, measurement‐based experiments and analysis are presented and adaptively applied to improve wideband multicarrier system performance. Copyright © 2015 John Wiley & Sons, Ltd.

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Traffic Behavior Simulator SIMULO with Sensor Coverage Computation

Istin

Aciu

Ciocârlie

2015

Soft Computing Applications

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Stochastic Model-Based Heuristics for Fast Field of View Loss Recovery in Urban Traffic Management Through Networks of Video Cameras

Cited by 9 publications

References 25 publications

A Low-Cost Automatic Vehicle Identification Sensor for Traffic Networks Analysis

A Low-Cost Automatic Vehicle Identification Sensor for Traffic Networks Analysis

Characterization and parameterization of dynamic wireless channels over long duration using evolutionary channel parameters

Traffic Behavior Simulator SIMULO with Sensor Coverage Computation

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