A Statistical Threat Assessment

Huddleston, Samuel H.; Brown, Donald E.

doi:10.1109/tsmca.2009.2027611

Cited by 15 publications

(5 citation statements)

References 7 publications

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“…(Huddleston and Brown 2013) demonstrate that criminal hot-spot (probability) maps can be used to accurately forecast future crime counts within police patrol districts. These criminal hot-spot maps are two dimensional probability density functions that can be estimated using kernel density estimation (Harris 1999), predictive crime models (Smith and Brown 2007;Huddleston and Brown 2009), or by binning historical crime counts by atom (Zhang and Brown 2013). We use the binning approach in this paper.…”

Section: Closed Form Evaluation Methodsmentioning

confidence: 99%

A comparison of evaluation methods for police patrol district designs

Zhang¹,

Huddleston²,

Brown³

et al. 2013

2013 Winter Simulations Conference (WSC)

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Police patrol district design presents a multi-objective optimization problem with two goals: minimizing workload variation between patrol districts and minimizing the response time for officers responding to calls for service. We evaluate three different methods for scoring district designs: a closed form probability based approach, a discrete-event simulation based on hypercube models for spatial queuing systems, and an agent-based simulation model. We find that all methods provide similar evaluations when service demand is low enough that cross-boundary support is infrequent. However, when the demand for service routinely exceeds the supply available within districts, only the agent-based simulation model accurately represents the resulting complexities and significantly changes the evaluation scores to reflect the behavior of the system.

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Section: Closed Form Evaluation Methodsmentioning

confidence: 99%

A comparison of evaluation methods for police patrol district designs

Zhang¹,

Huddleston²,

Brown³

et al. 2013

2013 Winter Simulations Conference (WSC)

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“…(3) Update the initial route by the optimized, not-yet visited route after a constant period, and then go to (1).…”

Section: Approachmentioning

confidence: 99%

“…are regarded as a serious social problem [1]. Many local police governments assign police men, who ride on patrol vehicles with wireless communication devices, to each patrol block and enforce them to watch up individually the situations of assigned areas during a day in a three-shift working system.…”

Section: Introductionmentioning

confidence: 99%

Police patrol routing on network voronoi diagram

Watanabe

Takamiya

2014

Proceedings of the 8th International Conference on Ubiquitous Information Management and Communication

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Since road network is huge and complex, a task of planning police patrol routes by hand is hard work. In addition, it is necessary to update timely the already-planned routes in order to successively deal with unanticipated situations such as emergency calls and traffic jams. In this paper, we propose a method for optimizing the patrol routes, using the local search technique based on Network Voronoi Diagram. The routes are repeatedly optimized by means of local search technique so as to shorten the total response time. In order to transform the routes in consideration of the carrying frequency, our idea is to preferentially insert edges, which have high carrying frequency, into the route attached with the priority queue.

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“…respectively, and we compared Controller #7 to Controllers #1, #2, and #3. From Figure 20 (Karalus & Riese, 2009;Huddleston & Brown, 2009). For example, if we replace the constant decay parameter λ in p x ,y (t) = γ x,y e −λ(t−tx,y) with the non-homogeneous, decay parameter, λ px,y = λ(1 + ξ(f (threat x ,y )), where (a) ξ = 1 if the threat surface is active and 0 otherwise and (b) f (threat x,y ) ∈ [0, 1]; monotonically increasing, then we can add an appropriate threat premium to cells based on their underlying threat.…”

Section: Controller Comparisonmentioning

confidence: 99%

Swarming UAS II

Dabkowski¹,

Cook²,

Kewley³

2010

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A Statistical Threat Assessment

Cited by 15 publications

References 7 publications

A comparison of evaluation methods for police patrol district designs

A comparison of evaluation methods for police patrol district designs

Police patrol routing on network voronoi diagram

Swarming UAS II

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