Cost–benefit functions for the allocation of security sensors for air contaminants

Lambert, James H.; Farrington, Mark W.

doi:10.1016/j.ress.2006.06.002

Cited by 28 publications

(16 citation statements)

References 29 publications

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“…Pourali & Mosleh (2012) developed a utility function, but this work does not consider the ability to diagnose failures. Lambert & Farrington (2007) used a cost-benefit function, outlining the best locations for sensors to detect chemical, biological and radiological air contaminants. However, this function uses multiple case specific factors such as the density of elderly people, making it difficult to apply the method to other types of systems.…”

Section: Sensor Selectionmentioning

confidence: 99%

A sensor selection method for fault diagnostics

Reeves

Remenyte‐Prescott

Andrews

2017

Safety and Reliability – Theory and Applications

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In the modern world, systems are becoming increasingly complex, consisting of large numbers of components and their failures. In order to monitor system performance and to detect faults and diagnose failures, sensors can be used. However, using sensors can increase the cost and weight of the system. Therefore, sensors need to be selected based on the information that they provide.In this paper, a sensor selection process is introduced based on a novel sensor performance metric. In this process, sensors are selected based on their ability to detect faults and diagnose failures of components in the system, as well as the severity of failure effects on system performance. A Bayesian Belief Network (BBN) is used to model the outputs of the sensors. Sensor reading evidence is introduced in the BBN to enable the component failures to be identified. A simple system example is used to illustrate the proposed approach.

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Section: Sensor Selectionmentioning

confidence: 99%

A sensor selection method for fault diagnostics

Reeves

Remenyte‐Prescott

Andrews

2017

Safety and Reliability – Theory and Applications

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show abstract

“…Most of the information in this section is either taken directly, or indirectly, from related studies by Lambert and Farrington (2007) and the master thesis of Farrington (2006). Therefore, although repeated citations will not be used, it should be assumed that all the information in this section is adapted from the above literature unless otherwise noted.…”

Section: Deviation Of Cost-benefit Functionmentioning

confidence: 99%

“…Therefore, although repeated citations will not be used, it should be assumed that all the information in this section is adapted from the above literature unless otherwise noted. Lambert and Farrington (2007) and Farrington (2006) investigate how various cost-benefit functions in elementary and deviated forms can influence the prioritization of project candidates and demonstrate the results on the risk-cost-benefit coordinate graph. The elementary cost-benefit function defined by them assumes that a linear relationship exists between the benefits and the parameters.…”

Section: Deviation Of Cost-benefit Functionmentioning

confidence: 99%

“…For example, Figure 34 shows the cost-benefit decision contours and prioritization zones when variable costs as a function of threshold values of exposure, and the sharp dips in the contours occur in Figure 34 is because of the variable costs associated with threshold values of exposure. More detailed cost-benefit analysis and cost-benefit contours associated with different forms of cost-benefit functions can be found in the original literature (Lambert and Farrington 2007;Farrington 2006). The above studies by Lambert and Farrington (2007) and Farrington (2006) describe the results for the cost-benefit function taxonomy for the risk-based resources allocation.…”

Section: Deviation Of Cost-benefit Functionmentioning

confidence: 99%

“…More detailed cost-benefit analysis and cost-benefit contours associated with different forms of cost-benefit functions can be found in the original literature (Lambert and Farrington 2007;Farrington 2006). The above studies by Lambert and Farrington (2007) and Farrington (2006) describe the results for the cost-benefit function taxonomy for the risk-based resources allocation. In their taxonomy, the shapes and locations of the decision contours on the risk exposure and intensity plot distinguish different forms of cost-benefit function.…”

Section: Deviation Of Cost-benefit Functionmentioning

confidence: 99%

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Heterogeneous Data Uncertainties in Risk Management of a Multiscale Transportation Program

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Access management, which systematically limits opportunities for egress and ingress of vehicles to highway lanes, is critical to protect trillions of dollars of current investment in transportation. While access management can be effective to avoid crashes, reduce travel times, and increase route capacities, the literature suggests a need for metrics to guide investments in resource allocation across large networks at several time horizons and geographic scales. This dissertation describes a decision aid to support a multiscale transportation access management program via a risk-cost-benefit tradeoff analysis with heterogeneous sources of data and expertise, addressing incomplete or partially relevant information on regions, decision criteria, crash rates, travel speeds, road condition, project costs, and other factors. The approach quantifies safety improvement, travel-time savings, and costs of access management through functional relationships of input parameters including crash rates, corridor access point densities, and traffic volumes. Parameter uncertainties, which vary across regions and time horizons, are addressed via numerical interval analyses. The integration of methods is demonstrated for 6,000 highway miles of a 43,000 square-mile region and its several sub-regions. The demonstration prioritizes route segments that would benefit from risk assessment and risk management, including (i) right of way purchases, (ii) restriction of access points, (iii) new alignments, (iv) developer proffers, (v) further data collection, (vi) further expert elicitation, (vii) etc. The philosophy of approach is generally applicable to address uncertainties of heterogeneous data in resource allocation and decision making for multiscale systems.

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Cost–benefit functions for the allocation of security sensors for air contaminants

Cited by 28 publications

References 29 publications

A sensor selection method for fault diagnostics

A sensor selection method for fault diagnostics

Heterogeneous Data Uncertainties in Risk Management of a Multiscale Transportation Program

Rapid Methods For Multiply Determining Potent Xenobiotics Based On The Optoelectronic Imaging

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