Law enforcement agencies have traditionally relied upon patrolling activity to provide a deterrent effect for assigned “beats” or patrol routes in a geographic area that have been assigned to a particular officer. Marked or unmarked law enforcement patrols, whether they be vehicular, airborne, or traditional beat police that walk the patrol routes are intended to create a link between the community and the police agency charged with policing the community, while at the same time providing a visual deterrent to opportunistic crimes. Before the advent of radio communications, such patrol routes were written on cards that established particular locations and times that the law enforcement patrol should be at prior to returning to the precinct. Even with the advent of radio communications, such community patrolling techniques have not disappeared, but are now supported and enhanced through the use of audio and data communications transmitted over radio access networks (RANs).
Such RANs provide for radio communication links to be arranged within the network between a plurality of law enforcement patrols and their respective radio communications units. Such radio communications units may be mobile and may be known as ‘mobile stations’ or ‘subscriber units’ (SUs). At least one other terminal, e.g. used in conjunction with the SUs, may be a fixed terminal, e.g. a base station, eNodeB, repeater, and/or access point. Such a RAN typically includes a system infrastructure that generally includes a network of various fixed terminals, which are in direct radio communication with the SUs. Each of the fixed terminals operating in the RAN may have one or more transceivers which may, for example, serve SUs in a given region or area, known as a ‘cell’ or ‘site’, by radio frequency (RF) communication. The SUs that are in direct communication with a particular fixed terminal are said to be served by the fixed terminal. In one example, all radio communications to and from each SU within the RAN are made via respective serving fixed terminals. Sites of neighboring fixed terminals may be offset from one another and may be non-overlapping or partially or fully overlapping with one another.
RANs may operate according to any one of a number of available industry standard protocols such as, for example, an open media alliance (OMA) push to talk (PTT) over cellular (OMA-PoC) standard, a voice over IP (VoIP) standard, or a PTT over IP (PoIP) standard. Typically, protocols such as PoC, VoIP, and PoIP are implemented over broadband RANs including third generation and fourth generation networks such as third generation partnership project (3GPP) Long Term Evolution (LTE) networks.
RANs may additionally or alternatively operate according to an industry standard land mobile radio (LMR) protocol such as, for example, the Project 25 (P25) standard defined by the Association of Public Safety Communications Officials International (APCO), or other radio protocols, the Terrestrial Trunked Radio (TETRA) standard defined by the European Telecommunication Standards Institute (ETSI), the Digital Private Mobile Radio (dPMR) standard also defined by the ETSI, or the Digital Mobile Radio (DMR) standard also defined by the ETSI. Because these systems generally provide lower throughput than the 3GPP and LTE systems, they are sometimes designated narrowband RANs.
Communications in accordance with any one or more of these protocols or standards, or other protocols or standards, may take place over physical channels in accordance with one or more of a TDMA (time division multiple access), FDMA (frequency divisional multiple access), OFDMA (orthogonal frequency division multiplexing access), or CDMA (code division multiple access) protocols. Subscriber units in RANs such as those set forth above send and receive audio and/or data (e.g., encoded voice, audio, video, control information, data, and/or audio/video streams) in accordance with the designated protocol.
For example, as shown in
Each of the law enforcement patrols 112A, 114A, and 118A may, in one example, already be actively using RF resources 128 of the RAN 126, which may be a LMR, LTE, or other type of RAN providing coverage substantially throughout the area 100, the RAN 126 is illustrated in
A dispatch console 134 may be directly coupled to controller 132, as shown, or may be indirectly coupled to controller 132 via one or more internal or externals networks. The dispatch console 134 allows an administrator or dispatcher at the dispatch console 134 to initiate infrastructure-sourced private and/or group communications to law enforcement patrols 112A, 114A, and 118A, and to participate in private and group communications sourced by law enforcement patrols 112A, 114A, and 118A, among other features and functions.
Law enforcement patrols 112A, 114A, and 118A may be assigned static patrol routes that they are instructed to patrol on a regular basis. Each patrol route may comprise a particular intersecting or non-intersecting set of streets, portions of streets, intersections, parks, commercial and/or residential buildings, among other areas. For example, law enforcement patrol 112A may be assigned a patrol route 152 including a particular street portion, intersections, and park to patrol, law enforcement patrol 114A may be assigned a patrol route 154 including a particular set of streets and intersections to patrol, and law enforcement patrol 118A may be assigned a patrol route 158 including a particular set of streets and alleyways to patrol.
Conventionally, the effects of such law enforcement patrols are not easily visualized or communicated to other law enforcement personnel or to civilian populations, and such patrols are assigned independent of any knowledge of underlying historical or real-time crime statistics and variations in deterrent effects of different types of law enforcement patrols.
Accordingly, there is a need for an improved method and apparatus for visualizing deterrent effects of law enforcement patrols, and for more intelligently assigning different types of law enforcement patrols to particular patrol routes using knowledge of underlying historical and/or real-time crime trends.
The accompanying figures, where like reference numerals refer to identical or functionally similar elements throughout the separate views, together with the detailed description below, are incorporated in and form part of the specification, and serve to further illustrate embodiments of concepts that include the claimed invention, and explain various principles and advantages of those embodiments.
Skilled artisans will appreciate that elements in the figures are illustrated for simplicity and clarity and have not necessarily been drawn to scale. For example, the dimensions of some of the elements in the figures may be exaggerated relative to other elements to help to improve understanding of embodiments of the present invention.
The apparatus and method components have been represented where appropriate by conventional symbols in the drawings, showing only those specific details that are pertinent to understanding the embodiments of the present invention so as not to obscure the disclosure with details that will be readily apparent to those of ordinary skill in the art having the benefit of the description herein.
Disclosed is an improved method and apparatus for visualizing deterrent effects of law enforcement patrols, and for more intelligently assigning different types of law enforcement patrols to particular patrol routes using knowledge of underlying historical and/or real-time crime trends.
In one embodiment, a process for improving dispatch of different types of law enforcement patrols for achieving a desired deterrent effect includes: receiving, at a computing device, patrol route information indicating patrol routes taken by first law enforcement patrols out of a plurality of patrol routes in a patrollable geographic area; determining, at the computing device and as a function of a type of each of the first law enforcement patrols, a threshold level of deterrence reached for each of the plurality of patrol routes taken; determining, at the computing device and as a function of historical and/or real-time crime information associated with the patrollable geographic area, a threshold level of deterrence desired for each of the plurality of patrol routes; identifying, at the computing device, a first patrol route of the plurality of routes having a first associated threshold level of deterrence reached that is less than a first associated threshold level of deterrence desired; identifying, at the computing device and as a function of a difference between the first associated threshold level of deterrence reached and the first associated threshold level of deterrence desired, a particular type of second law enforcement patrol having a sufficient associated deterrent effect factor to compensate for the difference; and identifying, at the computing device, an available responding second law enforcement patrol of the particular type for dispatch to the first patrol route.
In another embodiment, a controller for improving dispatch of different types of law enforcement patrols for achieving a desired deterrent effect includes: a transceiver; a data store; and one or more processors configured to: receive, via the transceiver, patrol route information indicating patrol routes taken by first law enforcement patrols out of a plurality of patrol routes in a patrollable geographic area; determine, as a function of a type of each of the first law enforcement patrols, a threshold level of deterrence reached for each of the plurality of patrol routes taken; determine, as a function of historical and/or real-time crime information associated with the patrollable geographic area, a threshold level of deterrence desired for each of the plurality of patrol routes; identify a first patrol route of the plurality of routes having a first associated threshold level of deterrence reached that is less than a first associated threshold level of deterrence desired; and identify, as a function of a difference between the first associated threshold level of deterrence reached and the first associated threshold level of deterrence desired, a particular type of second law enforcement patrol having a sufficient associated deterrent effect factor to compensate for the difference; and identify an available responding second law enforcement patrol of the particular type for dispatch to the first patrol route.
Each of the above-mentioned embodiments will be discussed in more detail below, starting with example electronic controller device and subscriber device structures, followed by geographic area schematic diagrams and processing steps for supporting displaying and visualizing of deterrent effect indicators for different types of law enforcement patrols, followed by further geographic area schematic diagrams and processing steps in which deterrent effect factors are used to more intelligently assign different types of law enforcement patrols to particular patrol routes using knowledge of underlying historical and/or real-time crime trends. Further advantages and features consistent with this disclosure will be set forth in the following detailed description, with reference to the figures.
Referring to
The processing unit 203 may also include a code Read Only Memory (ROM) 212 for storing data for initializing system components. The processing unit 203 may further include a microprocessor 213 coupled, by the common data and address bus 217, to a Random Access Memory (RAM) 204 and a static memory 216 (i.e., a data store). The microprocessor 213 has ports for coupling to the input unit 206 and to the display screen 205.
The communications unit 202 may include one or more wired or wireless input/output (I/O) interfaces 209 that are configurable to communicate with other devices such as a base station 130 or dispatch console 134 of
Static memory 216 may store operating code 225 for the microprocessor 213 that, when executed, performs one or more of the controller steps described with respect to
The processing unit 303 may include a code ROM 312 for initializing system components. The processing unit 303 may further include a microprocessor 313 coupled, by the common data and address bus 317, to a RAM 304 and a static memory 316. The microprocessor 313 has ports for coupling to the display screen 305, the input unit 306, the speaker 320, and the microphone 321.
The communications unit 302 may include an RF interface 309 configurable to communicate with other law enforcement patrol SUs within its communication range and/or with base stations within its communication range such as base station 130 of
Static memory 316 may store operating code 325 for the microprocessor 313 that, when executed, performs one or more of the SU steps set forth in FIGS. 6 and/or 9 and corresponding text. Static memory 316 may comprise, for example, a HDD, an optical disk drives such as a CD drive or DVD drive, a SMD, a tape drive, a flash memory drive, or a tape drive, to name a few.
Similarly, as vehicular law enforcement patrol 414A travels along its assigned patrol route (e.g., perhaps a same or similar route to patrol route 154 of
Also similarly, as mobile aerial law enforcement patrol 418A travels along its assigned patrol route (e.g., perhaps a same or similar route as patrol route 158 of
As set forth above, type of law enforcement patrol information and deterrent effect parameter information could be stored at each law enforcement patrol 412A, 414A, 418A and transmitted to controller 432 along with location information, or could be stored locally at controller 432 or remotely from controller 432 and accessible (e.g., via external networks such as the Internet) to controller 432, or some combination thereof. In some embodiments, type of law enforcement patrol information and deterrent effect parameter information may be stored together or stored separately. One possible type of law enforcement patrol information and deterrent effect parameter information look-up table may take the form of the law enforcement patrol mapping set forth in Table I:
In the first example set forth in Table I, a first column may list each law enforcement patrol's (or corresponding SU's) unique identifier and subsequent columns may set forth a type of law enforcement patrol and an associated deterrent effect parameter. For example, the law enforcement patrol 412A patrolling patrol route 152 and illustrated in
The deterrent effect parameter of 0.1 miles may define a width (in a scale of the underlying cartographic map) of a displayed solid or hatched line tracking locations of the law enforcement patrol 412A and indicative of a deterrent effect of law enforcement patrol 412A, a size of a plurality of geometric shapes having a spacing there-between that track locations of the law enforcement patrol 412A and indicative of a deterrent effect of law enforcement patrol 412A, or provide some other variable parameter as a function of a relative deterrent effect of the type of law enforcement patrol 412A.
Similarly, the law enforcement patrol 414A patrolling patrol route 154 and illustrated in
Also similarly, the law enforcement patrol 418A patrolling patrol route 158 and illustrated in
Finally, and although not illustrated as present in the patrollable geographic area 400
While example widths and/or sizes of deterrent effect parameters for types of law enforcement patrols are shown in Table I above, other parameters and other types of law enforcement patrols could be additionally or alternatively included as well.
For example, other deterrent effect parameters could additionally or alternatively be used to visualize a deterrent effect of different types of law enforcement patrols. One possible additional or alternative type of law enforcement patrol information and deterrent effect parameter information look-up table may take the form of the law enforcement patrol mapping set forth in Table II:
In the second example set forth in Table II, a first column may again list each law enforcement patrol's (or corresponding SU's) unique identifier and subsequent columns may set forth a type of law enforcement patrol and an associated deterrent effect parameter different from that set forth in Table I. The description as set forth with respect to Table I is incorporated herein by reference, with the exception that the size/distance-based deterrent effect parameter of Table I is replaced with a fade-time deterrent effect parameter in Table II. For example, the on-foot patrolwoman or patrolman law enforcement patrol having an identifier of AB5C16 may be assigned a deterrent effect parameter of 3 hours, meaning the displayed deterrent effect indication associated with that law enforcement patrol will completely fade from display 3 hours after the law enforcement patrol has left a particular location. In some embodiments, the fade of the displayed deterrent effect indicator may be gradual over those 3 hours, while in other embodiments, the displayed fade may be substantially immediate and full at the 3 hour mark. Other law enforcement types may be assigned other fade times that relatively reflect how long a deterrent effect lasts in a particular area as a function of the law enforcement patrol type. At the end of the fade time, a subsequent re-patrol of the particular patrol route would be required to re-establish and display a corresponding deterrent effect indication for that patrol route again. While example fade times of deterrent effects for types of law enforcement patrols are shown in Table II above, other fade times and other types of law enforcement patrols could be included as well.
While Table I and Table II separately describe example singular deterrent effect parameters above, in some embodiments, multiple deterrent effect parameters may be used simultaneously such that deterrent effect indicators having multiple varying parameters based on a type of law enforcement patrol are used to visualize and display a deterrent effect map of patrol routes in a patrollable area. For example, as illustrated in the patrollable geographic area 500 of
In some embodiments, instead of directly specifying particular deterrent effect parameters for each law enforcement type, a law enforcement patrol type to deterrent effect factor mapping may be used to specify, for each law enforcement patrol type, a corresponding deterrent effect factor, and a deterrent effect factor to deterrent effect parameter mapping used to specify, for each deterrent effect factor, one or more deterrent effect parameters, thereby allowing for more efficient reuse of specified deterrent effect factors and parameters.
As set forth in Tables III and IV (setting forth different values and relationships than set forth in Tables I and II above), an intermediate deterrent effect factor mapping may be used to more generically assign same or different levels of deterrence (e.g., deterrent effect factors) to different types of law enforcement patrols, and the assigned deterrent effect factor then used to index into a deterrent effect factor to deterrent effect parameter mapping to identify one or more deterrent effect parameters for each deterrent effect factor. While some granularity and ability to vary between different types of deterrent effect parameters may be lost in using such an intermediate patrol type to deterrent effect factor mapping, ease of adding additional types of law enforcement patrols is improved as deterrent effect factors can be reused for different and newly added types of law enforcement patrols. Furthermore, the intermediate deterrent effect factor value can be used in a myriad of additional ways to perform additional functions beyond visualizing deterrence effects, as will be discussed in more detail below with respect to
Although Tables I-IV above focus on size/width and fade time as deterrent effect parameters for use in displaying deterrent effect indications, other alternative or additional types of parameters, such as color, density, and brightness, among others, could be variably used to visually convey a difference in deterrent effects between law enforcement patrols of different types.
At step 602, a controller in a RAN, in a wide area network (WAN) accessible via the RAN, or in a mobile SU operating in the RAN, receives patrol route information indicating a patrol route taken by a law enforcement patrol. The patrol route information may be provided by the law enforcement patrol itself by, for example, continuously, periodically, or intermittently transmitting its location as the law enforcement patrol moves along its assigned patrol route in a patrollable area. For example, law enforcement patrol 412A may continuously, periodically, or intermittently transmit its location as it follows the patrol route 152 of
At step 604, the controller determines a type of the law enforcement patrol associated with the patrol route information received at step 602. As already set forth above, the determination at step 602 may be made by the controller based on type of law enforcement patrol information stored at each law enforcement patrol 412A, 414A, 418A and transmitted to the controller along with location information, or could be stored locally at the controller or remotely from the controller and accessible (e.g., via external networks such as the Internet) to the controller, or some combination thereof. In some embodiments, a type of law enforcement patrol may be determined via mapping information such as that set forth above with respect to Tables I-IV, or some variation thereof. While
Potential types of law enforcement patrols may include, for example, a pedestrian law enforcement patrol (e.g., a marked or unmarked traffic control officer operating on-foot) having an associated SU, a motor vehicle law enforcement patrol (e.g., a marked or unmarked police car) having an associated SU, and a mobile aerial law enforcement patrol (e.g., marked drone or helicopter) having an associated SU. Other types of law enforcement patrols, including but not limited to a marked or unmarked law enforcement bicycle or boat, are possible as well.
At step 606, the controller determines, as a function of the determined type of law enforcement patrol, a deterrent effect parameter associated with the law enforcement patrol. The deterrent effect parameter is associated with a relative measure of an amount of deterrence effect provided by the associated type of law enforcement patrol relative to other law enforcement patrols, and is used for variably visualizing the relative deterrent effect provided by the different types of law enforcement patrols as they patrol assigned patrol routes. As set forth above with respect to Table I, the deterrent effect parameter may define a size or width associated with a geometric shape that follows a tracked location along a particular patrol route of a particular law enforcement patrol of a corresponding type, the varying size or width to be used at step 608 to visualize a deterrent effect of that particular law enforcement patrol along that particular patrol route. The size or width assigned to different types of law enforcement patrols may vary in accordance with a pre-determined relative deterrent effect associated with each type of law enforcement patrol. In other embodiments, the deterrent effect parameter may be a width, transparency, density of shading, or other variable characteristic of a continuous or discontinuous line that similarly follows the tracked location along the particular patrol route of the particular law enforcement patrol of the corresponding type, the varying line characteristic to be used at step 608 to visualize a deterrent effect of that particular law enforcement patrol along that particular patrol route.
Additionally or alternatively, and as set forth above with respect to Table II, the deterrent effect parameter may be a fade time of a continuous or discontinuous line that similarly follows the tracked location along the particular patrol route of the particular law enforcement patrol of the corresponding type, the varying fade time to be used at step 608 to visualize a deterrent effect of that particular law enforcement patrol along that particular patrol route. In some embodiments, a size, width, radius, or other distance-based deterrent effect parameter associated with a particular type of law enforcement patrol may be higher for a first type of law enforcement patrol compared to a second type of law enforcement patrol, while a fade type deterrent effect parameter associated with the second type of law enforcement patrol may be higher than the first type of law enforcement patrol, and vice versa.
In general, marked law enforcement patrols are assigned a higher deterrent effect (and thus higher or larger deterrent effect parameter) than an unmarked law enforcement patrol. For example, a distance-based deterrent effect parameter such as that set forth in Table I for marked law enforcement patrols may be reduced by 25-100% for unmarked law enforcement patrols. Similarly, time-based deterrent effect parameters such as those set forth in Table II for marked law enforcement patrols may be reduced by 25-100% for unmarked law enforcement patrols. As a further example, unmarked vehicular motor vehicle or on-foot patrol woman/man law enforcement patrols may have a deterrent effect parameter reduced by less than 100% (e.g., 50%-75%) compared to a corresponding marked vehicular motor vehicle or on-foot patrol woman/man law enforcement patrol, while unmarked drone law enforcement patrols may have a deterrent effect parameter reduced by 100% compared to marked drone law enforcement patrols.
At step 608, the controller causes an electronic display to display a cartographic map of a geographic area at least partially including the patrol route taken by the law enforcement patrol and, along the patrol route taken, a deterrent effect indicator having a radius, width, size, and/or fade time that varies as a function of the determined deterrent effect parameter of step 606. The electronic display may be directly coupled to the controller and may include, for example, a screen 205 of the controller 200 itself. In other embodiments, the controller may transmit the information sufficient to display the cartographic map and deterrent effect indicator to another remote device for display, including but not limited to, a SU at a law enforcement patrol such as law enforcement patrols 412A, 414A, 418A of
In some further embodiments, the controller at step 608 may additionally access, locally or remotely, historical and/or real-time crime statistics for one or more areas in the patrollable area, and may vary a deterrent effect parameter or indicator for patrol routes taken corresponding to the one or more areas in accordance with the historical and/or real-time crime statistics. For example, a deterrent effect parameter or indicator associated with a patrol route in an area associated with high historical crime or with a high level of recent real-time reported crimes may be caused to be lowered or decreased relative to patrol routes in areas not associated with a high historical rime or with a high level of recent real-time reported crimes. As a further example, a displayed deterrent effect indicator 554 set forth in
Finally, and as illustrated in
In order to determine underlying historical crime trends, for example, controller 732 (e.g., same or similar to controller 200 of
Additionally or alternatively, the historical crime statistics may set forth a relative level of crime (e.g., such as “low,” “medium,” or “high”, perhaps identified numerically as levels ‘1’, ‘4’, or ‘7’) measured relative to other patrol route or patrol route portions in the area 700. For example, after calculating crime counts for all patrol routes in the area 700, the bottom third of patrol routes in criminal event count may be assigned as having a low relative level of crime and accordingly assigned a threshold level of deterrence desired of 1, the middle third of patrol routes in criminal event count may be assigned as having a medium level of crime and accordingly assigned a threshold level of deterrence desired of 4, and the top third of patrol routes in criminal event count may be assigned as having a high level of crime and accordingly assigned a threshold level of deterrence desired of 7.
The historical crime statistics may be maintained in a database at the controller 732, or at a remote device accessible to the controller 732. The historical crime statistics database accessed by the controller 732 may already include assigned absolute crime counts, average crime counts, range-mapped crime counts, or relative levels of crime in accordance with the foregoing, or the controller 732 may separately calculate and store such information as a function of the underlying historical crime statistics retrieved from the database.
In addition to historical crime statistics, controller 732 may access real-time crime information for use in determining a threshold level of deterrence desire or for use in modifying a threshold level of deterrence desired already calculated using historical crime statistics. For example, as new incidents or criminal events are reported to controller 732 or as a threshold period of time passes since a last reported incident or criminal event associated with a particular patrol route, controller 732 may update a threshold level of deterrence desired for each of the patrol routes in the area 700. As one example, a particular patrol route may be assigned a base threshold level of deterrence desired of 1. After controller 732 receives notice of new real-time criminal activity such as a theft occurring along the particular patrol route, the controller 732 may increase the threshold level of deterrence desired for the particular patrol route by some fixed factor for each new real-time criminal act or by some variable factor associated with a severity of the newly reported criminal activity. For example, for the theft, the threshold level of deterrence may be raised to 3, while if the reported criminal activity was an attempted homicide, the threshold level of deterrence may be raised to a 7. After a threshold period of time has elapsed since the reported new real-time criminal activity occurred (e.g., 4, 8, 24, 72, or 96 hours, which again may vary based on the severity of the reported criminal activity), the controller 732 may cause the threshold level of deterrence desired for the particular patrol route to fall back to the base level of 1 (or some other intermediate level based on other criminal activity that may have occurred in the mean time).
In some embodiments, the controller 732 can use frequency, time, and/or speed as multiplier effects so that a law enforcement patrol having an insufficient deterrent effect factor of, say, 3 for meeting a threshold level of deterrence desired of 6 can use frequency (2 immediately sequential patrols), speed (one half of the normal speed limit in the area to patrol at a slower speed), or time (twice the normal time to patrol, taking a much longer time using either lower speed or periodic stops along the route, or a combination thereof) to meet the higher threshold level of deterrence desired with a law enforcement patrol type having a normally insufficient deterrent effect factor.
As set forth in
In the example above regarding the third patrol route 706, assuming a first marked motor vehicle law enforcement patrol had recently patrolled the third patrol route 706 (thus raising the threshold level of deterrence reached from 0 to 6 in accordance with Table III), a second marked motor vehicle patrol having a now sufficient deterrent effect factor (6) could meet the difference (2) between the threshold level of deterrent desired (8) and the threshold level of deterrence reached (6), and could be identified to be dispatched by the controller 732 instead of the helicopter. In a further embodiment in which a fade time of 3 hours is assigned to the second marked motor vehicle patrol, 2 hours into the fade time the threshold level of deterrence reached may fade below 2 (e.g., ⅓ of the original 6), at which time the marked motor vehicle would no longer have a deterrent effect factor sufficient to meet the difference, absent application or some form of multiplier and corresponding action. Other examples are possible as well.
At step 902, a controller in a RAN, in a WAN accessible via the RAN, or in a mobile SU operating in the RAN, receives patrol route information indicating patrol routes taken by first law enforcement patrols out of a plurality of patrol routes in a patrollable area. The patrol route information received by the controller at step 902 from each of the plurality of first law enforcement patrols may be received in a same or similar manner as that set forth in step 602 above.
At step 904, the controller determines, as a function of a type of each of the first law enforcement patrols, a threshold level of deterrence reached for each of the plurality of patrol routes taken. As part of this process, the controller may determine a type of law enforcement patrol for each of the first law enforcement patrols in a same or similar manner as that set forth in step 604 above. Once the controller determines the type of law enforcement patrol for each of the first law enforcement patrols, the controller can determine a threshold level of deterrence reached. For example, the controller may access a patrol type to deterrent effect factor mapping same or similar to that set forth in Table II above and use the corresponding deterrent effect factor as the threshold level of law enforcement deterrence reached for the corresponding patrol routes taken, perhaps modified by any applicable multiplier as discussed previously.
In another example, the controller may additionally access a law enforcement patrol mapping such as that set forth in Table II and use the corresponding time to fade deterrent effect parameter value to modify and decrease the deterrent effect factor and thus the threshold level of deterrence reached evenly over time or entirely at the end of the fade time. Other possibilities exist as well.
At step 906, the controller determines, as a function of historical and/or real-time crime information associated with the patrollable area and/or each patrol route, a threshold level of deterrence desired for each of the plurality of patrol routes in a same or similar manner to that already set forth above with respect to the description of
At step 908, the controller identifies a first patrol route of the plurality of patrol routes in the patrollable area having a first associated threshold level of deterrence reached that is less than a first associated threshold level of deterrence desired, in a same or similar manner to that already set forth above with respect to the description of
At step 910, the controller identifies, as a function of a difference between the first associated threshold level of deterrence reached and the first associated threshold level of deterrence desired for the first patrol route, a particular type of second law enforcement patrol having a sufficient associated deterrent effect factor to compensate for the difference in a same or similar manner to that already set forth above. For example, if the difference is 5, the controller may access a mapping such as that set forth in Table III above and identify a marked helicopter and a marked motor vehicle as having a sufficient deterrent effect factor to compensate for the difference. In some embodiments, the controller may use a multiplier such as frequency, time, and/or speed to also identify a type of law enforcement patrol having an insufficient deterrent effect factor to meet the difference, but which may be caused to meet the difference when multiplied by the multiplier. For example, the marked patrolman or patrolwoman type of law enforcement patrol having a deterrent factor of 2 may be caused to meet the difference of 5 by requiring three sequential patrols of the identified patrol route, or requiring that the patrol be performed at one third the normal speed or at three times the normal total time period. Other possibilities exist as well.
In choosing which type of law enforcement patrol type to dispatch at step 910, a number of additional factors may be considered by the controller. For example, the controller may identify a particular type of second law enforcement patrol having a highest availability out of all types of law enforcement patrols having a deterrent effect factor that is sufficient to compensate for the difference. As one example, if the number of marked motor vehicles available is 5 while the number of marked helicopters is 1, both of which have a sufficient deterrent effect factor to meet the difference, the controller may select the type of law enforcement patrol having the highest availability (in this case, the marked motor vehicle type).
The controller may additionally or alternatively consider a cost associated with dispatching each type of second law enforcement patrol, and select the available type of second law enforcement patrol having a lowest total cost to dispatch out of all types of second law enforcement patrols having a deterrent effect factor sufficient to compensate for the difference. For example, and given the same scenario set forth in the prior paragraph, if a cost to dispatch the marked helicopter (e.g., $100) is greater than a cost to dispatch a marked motor vehicle (e.g., $15), and both are available to dispatch, the controller may identify the lower cost to dispatch type of law enforcement patrol.
In embodiments where the controller considers both cost and availability, the controller may calculate an overall dispatch preference value as a function of both availability and cost, such as A*X+B*1/Y=Z, where X is cost, Y is availability (# of units of that type), and A and B are predetermined scalar weights (such as A=1 and B=0.5 to prefer cost over availability in the decision) and identify the type of law enforcement patrol to dispatch as the type associated with the lowest value Z.
Still further, in some embodiments the control may identify an available type of law enforcement patrol having an assigned minimally sufficient deterrent effect factor to compensate for the difference, while in other embodiments, the control may identify an available type of law enforcement patrol having a maximum effect factor that is still sufficient to compensate for the difference. Other possibilities exist as well.
At step 912, the controller identifies a particular available second law enforcement patrol of the particular type of second law enforcement patrol identified at step 910 to dispatch to the first patrol route. In one embodiment, the controller may actually transmit a dispatch instruction to a SU associated with the particular available second law enforcement patrol including information sufficient to identify the first patrol route. In another embodiment, the controller may transmit a dispatch instruction to a dispatcher at a dispatch console such as dispatch console 134 in
In accordance with the foregoing, an improved method and apparatus for visualizing deterrent effects of law enforcement patrols, and for more intelligently assigning different types of law enforcement patrols to particular patrol routes using knowledge of underlying historical and/or real-time crime trends, is advantageously disclosed, allowing for improved patrolling efforts and corresponding deterrent effects that can result in reduced crime rates across patrolled geographic areas. Other advantages and benefits are possible as well.
In the foregoing specification, specific embodiments have been described. However, one of ordinary skill in the art appreciates that various modifications and changes can be made without departing from the scope of the invention as set forth in the claims below. Accordingly, the specification and figures are to be regarded in an illustrative rather than a restrictive sense, and all such modifications are intended to be included within the scope of present teachings. The benefits, advantages, solutions to problems, and any element(s) that may cause any benefit, advantage, or solution to occur or become more pronounced are not to be construed as a critical, required, or essential features or elements of any or all the claims. The invention is defined solely by the appended claims including any amendments made during the pendency of this application and all equivalents of those claims as issued.
Moreover in this document, relational terms such as first and second, top and bottom, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. The terms “comprises,” “comprising,” “has”, “having,” “includes”, “including,” “contains”, “containing” or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises, has, includes, contains a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. An element proceeded by “comprises . . . a”, “has . . . a”, “includes . . . a”, “contains . . . a” does not, without more constraints, preclude the existence of additional identical elements in the process, method, article, or apparatus that comprises, has, includes, contains the element. The terms “a” and “an” are defined as one or more unless explicitly stated otherwise herein. The terms “substantially”, “essentially”, “approximately”, “about” or any other version thereof, are defined as being close to as understood by one of ordinary skill in the art, and in one non-limiting embodiment the term is defined to be within 10%, in another embodiment within 5%, in another embodiment within 1% and in another embodiment within 0.5%. The term “coupled” as used herein is defined as connected, although not necessarily directly and not necessarily mechanically. A device or structure that is “configured” in a certain way is configured in at least that way, but may also be configured in ways that are not listed.
It will be appreciated that some embodiments may be comprised of one or more generic or specialized processors (or “processing devices”) such as microprocessors, digital signal processors, customized processors and field programmable gate arrays (FPGAs) and unique stored program instructions (including both software and firmware) that control the one or more processors to implement, in conjunction with certain non-processor circuits, some, most, or all of the functions of the method and/or apparatus described herein. Alternatively, some or all functions could be implemented by a state machine that has no stored program instructions, or in one or more application specific integrated circuits (ASICs), in which each function or some combinations of certain of the functions are implemented as custom logic. Of course, a combination of the two approaches could be used.
Moreover, an embodiment can be implemented as a computer-readable storage medium having computer readable code stored thereon for programming a computer (e.g., comprising a processor) to perform a method as described and claimed herein. Examples of such computer-readable storage mediums include, but are not limited to, a hard disk, a CD-ROM, an optical storage device, a magnetic storage device, a ROM (Read Only Memory), a PROM (Programmable Read Only Memory), an EPROM (Erasable Programmable Read Only Memory), an EEPROM (Electrically Erasable Programmable Read Only Memory) and a Flash memory. Further, it is expected that one of ordinary skill, notwithstanding possibly significant effort and many design choices motivated by, for example, available time, current technology, and economic considerations, when guided by the concepts and principles disclosed herein will be readily capable of generating such software instructions and programs and ICs with minimal experimentation.
The Abstract of the Disclosure is provided to allow the reader to quickly ascertain the nature of the technical disclosure. It is submitted with the understanding that it will not be used to interpret or limit the scope or meaning of the claims. In addition, in the foregoing Detailed Description, it can be seen that various features are grouped together in various embodiments for the purpose of streamlining the disclosure. This method of disclosure is not to be interpreted as reflecting an intention that the claimed embodiments require more features than are expressly recited in each claim. Rather, as the following claims reflect, inventive subject matter lies in less than all features of a single disclosed embodiment. Thus the following claims are hereby incorporated into the Detailed Description, with each claim standing on its own as a separately claimed subject matter.
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Number | Date | Country | |
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20180012323 A1 | Jan 2018 | US |