House number normalization for master street address guide (MSAG) address matching

Information

  • Patent Grant
  • 9413889
  • Patent Number
    9,413,889
  • Date Filed
    Thursday, September 18, 2008
    16 years ago
  • Date Issued
    Tuesday, August 9, 2016
    8 years ago
Abstract
A technique and apparatus to allow a determination of an MSAG-valid address by use of normalized house numbers included in address entries in an MSAG Address data store, to facilitate the simple match of an input civic/postal address against entries in a MSAG data store based on the use of a normalization of the house numbers. The house number normalization allows for an easy lexicographical determination as to whether or not the input civic/postal house number falls with the range of house numbers in the MSAG data store. The inventive process and apparatus pre-stores normalized house number fields in an MSAG address data store, and then normalizes house numbers in a civic/postal address associated with an emergency call. The normalized numbers in the input civic/postal address associated with the emergency call are then lexicographically matched with normalized entries in an MSAG address data store.
Description
BACKGROUND OF THE INVENTION

1. Field of the Invention


This invention relates generally to long distance carriers, Internet Service Providers (ISPs), and information content delivery services/providers and long distance carriers. More particularly, it relates to emergency call systems (e.g., E9-1-1) including wireless and Internet Protocol (IP) based Voice Over Internet Protocol (VoIP) emergency call systems.


2. Background of Related Art


9-1-1 is a phone number widely recognized in North America as an emergency phone number that is used to contact emergency dispatch personnel. Enhanced 9-1-1 (E9-1-1) is defined by an emergency call being selectively routed to an appropriate PSAP, and enhanced information (callback number, name and location) is provided to the PSAP. This is accomplished through the use of the ANI. The ANI may be the real phone number of the caller (in landline E911) or a pseudo-ANI called an ESRK (in cellular E911) or ESQK (in VoIP E911). Regardless of the network type, a 9-1-1 service becomes E-9-1-1 when automatic number identification and automatic location information related to the call is provided to the 9-1-1 operator at the PSAP.


This identifier allows the PSAP to retrieve location information such as the Master Street Address Guide (MSAG) valid address of the E9-1-1 caller's Civic/Postal Address. The Master Street Address Guide (MSAG) represents a community provided local address master guide that permits the most accurate dispatch of emergency personnel to a “correct address.” The “correct address” originates as the civic/postal address of an E9-1-1 emergency caller over a wireless and/or Internet Protocol (IP) based Voice Over Internet Protocol (VoIP) emergency call system. The civic/postal address represents the caller's location at the time when the emergency call is placed. This civic/postal address needs to be associated with an appropriate corresponding MSAG address, which in most cases is required by the public safety answering point (PSAP).


A Public Service Answering Point (PSAP) is a dispatch office that receives 9-1-1 calls from the public. A PSAP may be a local, fire or police department, an ambulance service or a regional office covering all services. As used herein, the term “PSAP” refers to either a public safety access point (PSAP), or to an Emergency Call Center (ECC), a VoIP term.


Distributed emergency call systems in telecommunications are in general very complex computing systems. Emergency calls that originate from a VoIP network use well proven routing paradigms already used for cellular 911 calls, or for traditional landline 911 calls. These paradigms usually work well, because VoIP customers can usually be grouped into two categories: a mobile VoIP caller that resembles a cellular user, and a stationary VoIP user resembling landline usage.


Traditional landline systems use pre-provisioned, generally static subscriber addresses, where the landline automatic location identification (ALI) provisioning process insures a match to a master street address guide (MSAG) record, which contains an emergency service number (ESN) used to route emergency calls to a PSAP.


But determination of the location of a mobile device proves much, much more challenging. To determine location of a mobile device, some conventional cellular systems use separate triangulation technologies (or any of a number of other techniques) to find a latitude & longitude of an emergency caller. These systems then use a geographic information system (GIS) system to query for a pre-defined region (e.g., a PSAP polygon) that contains this location.


Of course, errors may occur in conventional systems when determining the location of a mobile user. But even though it's very possible that these queried PSAP polygons can lead to a different (i.e., wrong) neighboring PSAP than an equivalent address provisioned in a landline ALI, this discrepancy is conventionally accepted by PSAPs because the location itself is likely to be imprecise due to measurement errors—sometimes the location is off by hundreds of feet.


Conventional VoIP systems use proprietary technologies, usually based on GIS polygons, or based on pre-provisioning of the caller in the traditional landline ALI long before the need for an emergency call.


Thus, traditional landline paradigms provide the most accurate location for its static users, but require the caller's address to be pre-provisioned into a landline automatic location identifier (ALI). This pre-provisioning (often referred to as service order interface (SOI) loading) usually takes a few days between the caller notifying their service provider of their address change, and this change being reflected in the landline ALI. But during this window a 911 call might be made, and if so it would be routed using the “old” data still in the landline ALI. Even the fastest possible conventional landline ALI provisioning takes at least several hours.


Existing solutions include the NENA VoIP architecture for enhanced 9-1-1 services standard NENA 08-001. However, such conventional technologies are too complicated and not always practical. Moreover, conventional systems are disadvantageous because they are unable to handle the embedded geographic location to precisely route the caller to the correct PSAP using the “just-in-time” paradigm.


A “simple match” to find an MSAG-valid address refers to a simple lexicographic comparison of an input civic/postal address against the entries in an MSAG address store to find a positive match. The present inventors have appreciated that house numbers prove to be particularly hard to compare as in many cases house numbers contain digits and alpha-numeric characters in any random order. Given this fact, two house numbers that are not character-for-character identical may refer to the same house number as determined by a human observer.


Compounding this issue is the fact that otherwise conventional MSAG data stored in an otherwise conventional MSAG address data store is always given as range data including a low and high house number, e.g., “100-2000 Elm Street.” So with this, a simple match must successfully determine if a given input civic/postal house number falls within a stored MSAG address house number range.


The MSAG-valid address is required by most PSAPs, as it represents a community provided local address that allows accurate dispatch of emergency personnel to the correct address. But a challenge remains to provide a MSAG-valid address, particularly with respect to a real-time Voice Over Internet Protocol (VoIP) emergency call.


SUMMARY OF THE INVENTION

In accordance with the principles of the present invention, a master street address guide (MSAG) address data store comprises a plurality of address entries, each entry comprising an address, a normalized low house number field, and a normalized high house number field.


In accordance with another aspect of the invention, a method of matching a civic/postal address associated with an emergency call with a master street address guide (MSAG) address table comprises normalizing the house number of an input civic/postal address associated with an emergency call to comprise an alphanumeric string having a fixed number of characters. The normalized house number is provided for matching against normalized entries in the master street address guide (MSAG). A MSAG address is selected from the MSAG address table in which the normalized house number falls lexicographically between the normalized low house number and the normalized high house number of the MSAG address.


In yet other aspects of the invention, a process of normalizing a house number portion of a civic/postal address and MSAG address range for use with an address database. Normalizing consists of converting each non-alphanumeric character in the house number portion to a space character. Consecutive space characters in the house number portion are replaced with a single space character. Leading and trailing spaces in the house number portion are removed. Each group of consecutive digits are located and padded with leading characters such that each digits group is of a fixed common length.


Normalization of the house number does not convert a house number to a valid house number, rather it converts house numbers to a standardized form for the purpose of lexicographical comparison.





BRIEF DESCRIPTION OF THE DRAWINGS

Features and advantages of the present invention will become apparent to those skilled in the art from the following description with reference to the drawings, in which:



FIG. 1 shows an exemplary MSAG data store including an MSAG address table including a plurality of entries, in accordance with the principles of the present invention.



FIG. 2 shows an exemplary process of normalizing house numbers from a civic/postal address and from MSAG addresses for use with respect to an MSAG Address data store, in accordance with the principles of the present invention.



FIG. 3 shows normalizing an input house number, then determined if the input house number is “normalized-between” a given entry's low house number and a high house number, in accordance with the principles of the present invention.



FIG. 4 shows sample house number normalizations, in accordance with the principles of the present invention.



FIG. 5 shows sample normalized house numbers inserted into respective entries of an exemplary MSAG address table in an MSAG Address data store, in accordance with the principles of the present invention.





DETAILED DESCRIPTION OF ILLUSTRATIVE EMBODIMENTS

The present invention provides a technique and apparatus to allow a determination of an MSAG-valid address by use of normalized house numbers included in address entries in an MSAG Address data store. In particular, it provides a unique method to facilitate the simple match of an input civic/postal address against entries in a MSAG data store based on the use of a normalization of the house numbers. The house number normalization allows for a simple lexicographic determination as to whether or not the input civic/postal house number falls with the range of house numbers in the MSAG data store.


The present invention provides a very high matching rate of a master street address guide (MSAG) address using unique house number normalization on both: (1) an input civic/postal address; and (2) the MSAG addresses stored in an MSAG address data store. The inventive process and apparatus normalizes house number fields in an MSAG address data store in advance of matching, and then normalizes input house numbers from a civic/postal address associated with an emergency call. The normalized numbers in the input civic/postal address associated with the emergency call are then lexicographically matched with normalized entries in an MSAG address data store to successfully perform simple MSAG matching on an input civic/postal address.


An otherwise conventional MSAG address data store contains address ranges. According to the invention, the low and high MSAG house numbers are normalized and stored based on house number normalization rules established by the present invention. The normalized house numbers stored in the MSAG address data store may be normalized before first being stored in the MSAG address data store, or may be converted and restored in a new format accommodating the normalized form of the house numbers.


According to the invention, an input civic/postal address house number associated with an emergency call is converted using the same house number normalization as that used on the entries already stored in the MSAG address data store, and then lexicographically matched against the address range in the MSAG address data store. The conversion may be accomplished in a module associated with presenting a match inquiry to the MSAG address data store, or within the mobile device making the relevant emergency call, or anywhere there between. In this way, because of the normalization of the input house number, the input civic/postal address has a high probability to successfully match against the MSAG address data store, in accordance with the principles of the present invention.


With this invention, normalized house numbers are used on both the input civic/postal house number, as well as on the MSAG address low and high house numbers in the MSAG data store. The normalized civic/postal input house number is then lexicographically compared against the normalized MSAG address low and high house numbers in the data store.


While the disclosed embodiments utilize an MSAG address matching technique referred to as a Simple Match for which an MSAG Address table suffices, in practice the MSAG data store may contain more than just the MSAG address table suitable to support the relevant match technique used.



FIG. 1 shows an exemplary MSAG data store 100 including an MSAG address table 101 including a plurality of entries, in accordance with the principles of the present invention.


In particular, as shown in FIG. 1, a suitable database, referred to herein as an MSAG data store 100, includes an MSAG Address table 101. The MSAG Address table 101 includes multiple entries, each of which includes an associated data field for each of an MSAGAddress_ID 102, an MSAG Address 104, an MSAG_LOW_HOUSE_NUM_NORM 106, and an MSAG_HIGH_HOUSE_NUM_NORM 108.


Thus, each entry in the MSAG Address table 101 is uniquely identified by the MSAGAdress_ID 102 data.


Though the MSAG Address 104 field is shown in the disclosed embodiments as one field for reasons of simplicity, the MSAG Address 104 field in general preferably comprises several fields capable of documenting a street address.


According to the invention, each entry in the MSAG Address table 101 also comprises a NORMALIZED low house number MSAG_LOW_HOUSE_NUM_NORM 106, and a NORMALIZED high house number MSAG_HIGH_HOUSE_NUM_NORM 108.



FIG. 2 shows an exemplary process of normalizing house numbers extracted from a civic/postal address, and for use of normalizing MSAG Address data store house numbers, in accordance with the principles of the present invention.


In particular, FIG. 2 shows exemplary rules 400 to normalize a house number.


In step 420, a house number is input.


In step 401, the input house number is converted to a common case, e.g., all to upper case. Of course, normalization might instead normalize all house numbers to lower case within the scope of the present invention.


In step 402, each non-alphanumeric character (e.g. punctuation) is converted to a space character.


In step 403, consecutive space characters are replaced with a single space character.


In step 404, leading spaces and trailing spaces are removed.


In step 405, every group of consecutive digits (not whitespace, not alphanumeric) are located.


In step 406, each located group of digits is padded with leading zeros such that each digits group is exactly a common length, e.g., a preferred 10 digits in the disclosed embodiments.



FIG. 3 shows normalizing an input civic/postal house number, then determined if the input house number is “normalized-between” a given entry's low house number and a high house number, in accordance with the principles of the present invention.


In particular, as shown in FIG. 3, in step 501 an input civic/postal address house number is normalized using the rules shown in FIG. 2.


In step 502, the input civic/postal address including the now-normalized house number is compared to entries in the relevant MSAG Address data store to search for MSAG addresses where the input house number is “normalized-between” those MSAG address records. If the normalized input house number is lexicographically between the normalized low and normalized high house numbers of an MSAG address record, then the input house number is referred to as “normalized-between” the low and high house numbers of that MSAG record. Even though the original non-normalized input civic/postal house number might not be lexicographically between the original non-normalized high and low house number on that MSAG record, this ‘normalized-between’ step finds legitimate MSAG records that match the input civic/postal house number.



FIG. 4 and FIG. 5 illustrate the normalization process and determining whether or not a house number is “normalized-between” a low and high house number. First, FIG. 4 showing sample house number normalizations 200 will be described in accordance with the principles of the present invention.


In particular, as shown in FIG. 4, the input low and high house numbers are normalized preferably before being stored in the MSAG Address table. The first example 202 in FIG. 4 shows how house numbers consisting only of digits are normalized using the rules enumerated above. In this example, the civic/postal low and high (i.e., range) house numbers “1100” and “2200” are normalized into “0000001100” and “0000002200”, respectively.


Similarly, the second example 204 shows house numbers starting with an alpha-numeric character (e.g., “N”). In the second example 204, the civic/postal low and high house numbers “N0340” and “N0900” are normalized into “N0000000340” and “N0000000900”, respectively.


The third example 206 depicts an example of normalization of house numbers with a trailing alpha-numeric character. In this example, original civic/postal low and high house numbers “10G” and “40G” are normalized into “0000000010G” and “0000000040G”, respectively.


More complex examples would work in the same fashion following the enumerated rules above, in accordance with the principles of the present invention.



FIG. 5 shows sample normalized house numbers inserted into respective entries of an exemplary MSAG address table 300 in an MSAG Address data store, in accordance with the principles of the present invention.


In particular, as shown in FIG. 5, the MSAG address table 300 includes sample civic/postal addresses and house number ranges (i.e., as defined by both low and high house numbers), as shown in the examples 202, 204 and 206 in FIG. 4.


It is important to point out that the “MSAG Address” parameter shown in FIG. 5 still contains the original UN-normalized house number, whereas the parameters or fields described as “MSAG_LOW_HOUSE_NUMBER_NORM” and “MSAG_HIGH_HOUSE_NUMBER_NORM” contain the corresponding normalized values. With that, the normalized house numbers for the “MSAG Address” field in the first civic/postal address entry 302 is “1100-2200 27th AVE NE Seattle Wash. 98115”, with the address range defined by the normalized values of “0000001100” and “0000002200”, respectively.


Similarly, the “MSAG Address” field in the second civic/postal address entry 304 contains the original civic/postal address: “N0340-N0900 NE 65th St Seattle Wash. 98115”, from which the normalized address is determined and stored as a low and high house number, e.g., “N0000000340” and “N0000000900”.


Finally, in the third and last example civic/postal address entry 306, the “MSAG Address” field contains the original the original civic/postal address: “10G-40G NE Park Rd Seattle Wash. 98115”, from which the normalized address is determined and stored as a low and high house number, e.g., “0000000010G” and “0000000040G”.


Therefore, taking the very last example, for the sample civic/postal input address of “0035G NE Park Rd Seattle Wash. 98115” a simple match would be found with civic/postal address 306, in accordance with the principles of the present invention, since the normalized form of “0035G” is “0000000035G”, which lexicographically falls between the normalized range of “0000000010G” and “0000000040G” of that civic/postal address entry 306.


Accordingly, using modules put in place to normalize not only the house number range in all entries put into an MSAG Address table, but also a suitable normalization module to perform the same normalization on an input civic/postal address to be matched to the entries in the MSAG Address table, the present invention guarantees that a given civic/postal address with a non-trivial house number can be simply matched against an MSAG address in a MSAG Address data store.


The present invention has particular applicability with location based server vendors.


While the invention has been described with reference to the exemplary embodiments thereof, those skilled in the art will be able to make various modifications to the described embodiments of the invention without departing from the true spirit and scope of the invention.

Claims
  • 1. A method of directing an emergency call to an emergency terminal responsible for a civic/postal address received with the emergency call, comprising: obtaining a plurality of USPS standard format civic/postal address ranges for build into a physical MSAG database;converting an upper limit and a lower limit to each of said plurality of USPS standard format civic/postal address ranges to a non-USPS standard format;storing said non-USPS standard format civic/postal address ranges into said physical MSAG database;receiving an emergency call from a mobile device together with an associated USPS standard format civic/postal address;converting said associated USPS standard format civic/postal address into said non-UPSP standard format, wherein said non-UPSP standard format comprises: converting each non-alphanumeric character in a street number portion of said USPS standard format civic/postal address to instead comprise a space character,replacing consecutive space characters in said street number portion of said USPS standard format civic/postal address with a single space character,removing a leading space and a trailing space in said street number portion of said USPS standard format civic/postal address, andpadding each group of consecutive digits in said USPS standard format civic/postal address with at least one leading character such that a resultant street number portion of said non-USPS standard format civic/postal address is of a fixed common length;lexicographically matching said converted, non-USPS standard format civic/postal address to a non-USPS standard format address range entry pre-stored in said physical MSAG database; anddirecting said emergency call from said mobile device to a proper physical public safety answering point (PSAP) terminal responsible for said USPS standard format civic/postal address based on said lexicographically matched, converted, non USPS standard format civic/postal address.
  • 2. The method of directing an emergency call to an emergency terminal responsible for a civic/postal address received with the emergency call according to claim 1, wherein: said fixed common length is 10 characters.
  • 3. The method of directing an emergency call to an emergency terminal responsible for a civic/postal address received with the emergency call according to claim 1, wherein said at least one leading character comprises: a zero character.
  • 4. The method of directing an emergency call to an emergency terminal responsible for a civic/postal address received with the emergency call according to claim 1, wherein said converting said associated USPS standard format civic/postal address further comprises: converting said street number portion of said USPS standard format civic/postal address to upper case characters.
  • 5. The method of directing an emergency call to an emergency terminal responsible for a civic/postal address received with the emergency call according to claim 1, wherein: said non-alphanumeric character in said street number portion of said USPS standard format civic/postal address is a punctuation character.
Parent Case Info

This application claims priority from U.S. Provisional Application No. 60/960,459, entitled “MSAG Simple Matching a Civic/Postal Address Using Unique Normalized House Number Fields”, to Geldenbott, Hines and Martin, filed Oct. 1, 2007; and also from U.S. Provisional Application No. 60/960,148, entitled “Optimal Selection of MSAG Address for Valid Civic/Postal Address”, to Geldenbott, filed Sep. 18, 2007, the entirety of both of which are expressly incorporated herein by reference.

US Referenced Citations (214)
Number Name Date Kind
1103073 O'Connel Jul 1914 A
4445118 Taylor Apr 1984 A
4868570 Davis Sep 1989 A
4891638 Davis Jan 1990 A
4891650 Scheffer Jan 1990 A
4952928 Carroll Aug 1990 A
4972484 Theile Nov 1990 A
5014206 Scribner May 1991 A
5043736 Darnell Aug 1991 A
5055851 Sheffer Oct 1991 A
5068656 Sutherland Nov 1991 A
6032051 Hall Feb 2000 A
6067045 Castelloe May 2000 A
6108533 Brohoff Aug 2000 A
6134316 Kallioniemi Oct 2000 A
6181939 Ahvenainen Jan 2001 B1
6253074 Carlsson Jun 2001 B1
6278701 Ayyagari Aug 2001 B1
6321092 Fitch Nov 2001 B1
6360102 Havinis Mar 2002 B1
6397208 Lee May 2002 B1
6427001 Contractor Jul 2002 B1
6526026 Menon Feb 2003 B1
6529500 Pandharipande Mar 2003 B1
6564261 Gudjonsson May 2003 B1
6580390 Hay Jun 2003 B1
6587691 Granstam Jul 2003 B1
6600927 Hamilton Jul 2003 B2
6621810 Leung Sep 2003 B1
6687504 Raith Feb 2004 B1
6694351 Shaffer Feb 2004 B1
6731940 Nagendran May 2004 B1
6744858 Ryan Jun 2004 B1
6775534 Lindgren Aug 2004 B2
6795444 Vo Sep 2004 B1
6813264 Vassilovski Nov 2004 B2
6839417 Weisman Jan 2005 B2
6847618 Laursen Jan 2005 B2
6876734 Summers Apr 2005 B1
6898633 Lyndersay May 2005 B1
6940826 Simard Sep 2005 B1
6940950 Dickinson et al. Sep 2005 B2
6957068 Hutchison Oct 2005 B2
6968044 Beason Nov 2005 B2
6985747 Chithambaram Jan 2006 B2
7072667 Olrik Jul 2006 B2
7106717 Rousseau Sep 2006 B2
7110773 Wallace Sep 2006 B1
7113128 Pitt Sep 2006 B1
7136466 Gao Nov 2006 B1
7174153 Ehlers Feb 2007 B2
7177397 McCalmont Feb 2007 B2
7177398 Meer Feb 2007 B2
7177399 Dawson Feb 2007 B2
7200380 Havlark Apr 2007 B2
7245900 Lamb Jul 2007 B1
7246187 Ezra Jul 2007 B1
7260186 Zhu Aug 2007 B2
7260384 Bales et al. Aug 2007 B2
7269428 Wallenius Sep 2007 B1
7302582 Snapp et al. Nov 2007 B2
7321773 Hines Jan 2008 B2
7330899 Wong Feb 2008 B2
7333480 Clarke Feb 2008 B1
7369508 Parantainen May 2008 B2
7369530 Keagy May 2008 B2
7382773 Schoeneberger Jun 2008 B2
7392240 Scriffignano et al. Jun 2008 B2
7394896 Norton Jul 2008 B2
7403939 Virdy Jul 2008 B1
7424293 Zhu Sep 2008 B2
7426380 Hines Sep 2008 B2
7428571 Ichimura Sep 2008 B2
7436785 McMullen Oct 2008 B1
7440442 Grabelsky et al. Oct 2008 B2
7450951 Vimpari Nov 2008 B2
7453990 Welenson Nov 2008 B2
7495608 Chen Feb 2009 B1
7573982 Breen Aug 2009 B2
7623447 Faccin Nov 2009 B1
7711094 Olshansky May 2010 B1
7747258 Farmer Jun 2010 B2
7764961 Zhu Jul 2010 B2
7783297 Ishii Aug 2010 B2
7787611 Kotelly Aug 2010 B1
7792989 Toebes Sep 2010 B2
7881233 Bieselin Feb 2011 B2
7890122 Walsh Feb 2011 B2
7937067 Maier May 2011 B2
8005683 Tessel Aug 2011 B2
8027658 Suryanarayana Sep 2011 B2
8060389 Johnson Nov 2011 B2
8308570 Fiedler Nov 2012 B2
20010040886 Jimenez Nov 2001 A1
20020077083 Zellner Jun 2002 A1
20020077084 Zellner Jun 2002 A1
20020077118 Zellner Jun 2002 A1
20020077897 Zellner Jun 2002 A1
20020085538 Leung Jul 2002 A1
20020086676 Hendrey Jul 2002 A1
20020102996 Jenkins Aug 2002 A1
20020118650 Jagadeesan et al. Aug 2002 A1
20020123327 Vataja Sep 2002 A1
20020126656 Park Sep 2002 A1
20020158777 Flick Oct 2002 A1
20020173317 Nykanen Nov 2002 A1
20030009277 Fan Jan 2003 A1
20030012148 Peters Jan 2003 A1
20030026245 Ejzak Feb 2003 A1
20030044654 Holt Mar 2003 A1
20030086539 McCalmont May 2003 A1
20030108176 Kung Jun 2003 A1
20030109245 McCalmont Jun 2003 A1
20030118160 Holt Jun 2003 A1
20030119521 Tipnis Jun 2003 A1
20030119528 Pew Jun 2003 A1
20030186709 Rhodes Oct 2003 A1
20040043775 Kennedy Mar 2004 A1
20040047461 Weisman Mar 2004 A1
20040076277 Kuusinen Apr 2004 A1
20040143852 Meyers Jul 2004 A1
20040181689 Kiyoto Sep 2004 A1
20040184584 McCalmont Sep 2004 A1
20040190497 Knox Sep 2004 A1
20040198386 Dupray Oct 2004 A1
20040267445 De Luca Dec 2004 A1
20050020242 Holland Jan 2005 A1
20050043037 Ioppe Feb 2005 A1
20050053209 D'Evelyn Mar 2005 A1
20050063519 James Mar 2005 A1
20050074107 Renner Apr 2005 A1
20050078612 Lang Apr 2005 A1
20050083911 Grabelsky Apr 2005 A1
20050101335 Kelly May 2005 A1
20050107673 Ball May 2005 A1
20050119012 Merheb Jun 2005 A1
20050125376 Curtis Jun 2005 A1
20050135569 Dickinson Jun 2005 A1
20050136885 Kaltsukis Jun 2005 A1
20050169248 Truesdale Aug 2005 A1
20050192822 Hartenstein Sep 2005 A1
20050201529 Nelson Sep 2005 A1
20050213716 Zhu Sep 2005 A1
20050238156 Turner Oct 2005 A1
20050255857 Kim Nov 2005 A1
20050265318 Khartabil Dec 2005 A1
20050282518 D'Evelyn Dec 2005 A1
20050287979 Rollender Dec 2005 A1
20050289097 Trossen Dec 2005 A1
20060008065 Longman Jan 2006 A1
20060010200 Mousseau Jan 2006 A1
20060026288 Acharya Feb 2006 A1
20060068753 Karpen Mar 2006 A1
20060077911 Shaffer Apr 2006 A1
20060079330 Dvorak Apr 2006 A1
20060088152 Green Apr 2006 A1
20060104306 Adamczyk May 2006 A1
20060120517 Moon Jun 2006 A1
20060128395 Muhonen Jun 2006 A1
20060135177 Winterbottom Jun 2006 A1
20060154710 Serafat Jul 2006 A1
20060188083 Breen Aug 2006 A1
20060193447 Schwartz Aug 2006 A1
20060239205 Warren Oct 2006 A1
20060250987 White Nov 2006 A1
20060258380 Liebowitz Nov 2006 A1
20060281437 Cook Dec 2006 A1
20060293024 Benco Dec 2006 A1
20060293066 Edge Dec 2006 A1
20070003024 Olivier Jan 2007 A1
20070019614 Hoffmann Jan 2007 A1
20070022011 Altberg Jan 2007 A1
20070026871 Wager Feb 2007 A1
20070027997 Polk Feb 2007 A1
20070041513 Gende Feb 2007 A1
20070041516 Dickinson Feb 2007 A1
20070042765 Bailin Feb 2007 A1
20070049288 Lamprecht Mar 2007 A1
20070060097 Edge Mar 2007 A1
20070115941 Patel May 2007 A1
20070121601 Kikinis May 2007 A1
20070149213 Lamba Jun 2007 A1
20070160036 Smith Jul 2007 A1
20070162228 Mitchell Jul 2007 A1
20070201623 Hines Aug 2007 A1
20070206568 Silver Sep 2007 A1
20070206613 Silver Sep 2007 A1
20070242660 Xu Oct 2007 A1
20070263610 Mitchell Nov 2007 A1
20070270164 Maier Nov 2007 A1
20080032703 Krumm Feb 2008 A1
20080037715 Prozeniuk Feb 2008 A1
20080059304 Kimsey Mar 2008 A1
20080063153 Krivorot Mar 2008 A1
20080065775 Polk Mar 2008 A1
20080080691 Dolan Apr 2008 A1
20080146343 Sullivan et al. Jun 2008 A1
20080186164 Emigh Aug 2008 A1
20080214202 Toomey Sep 2008 A1
20080249967 Flinn Oct 2008 A1
20090323636 Dillon Dec 2009 A1
20100029244 Moodbidri Feb 2010 A1
20100069034 Dickinson Mar 2010 A1
20100119049 Clark May 2010 A1
20100178973 Snoddy et al. Jul 2010 A1
20100218664 Toledano et al. Sep 2010 A1
20100328093 Robinson et al. Dec 2010 A1
20110113060 Martini May 2011 A1
20110149953 Helgeson et al. Jun 2011 A1
20110273568 Lagassey Nov 2011 A1
20120001750 Monroe Jan 2012 A1
20120189107 Dickinson Jul 2012 A1
20130072308 Peck et al. Mar 2013 A1
20130079152 Hall Mar 2013 A1
Foreign Referenced Citations (3)
Number Date Country
WO0145342 Jun 2001 WO
WO2004025941 Mar 2004 WO
WO2005051033 Jun 2005 WO
Non-Patent Literature Citations (9)
Entry
Intrado MSAG Prep for E9-1-1 Program and Documentation. Intrado Inc., Longmont, CO. Sep. 14, 2006. Accessed: Nov. 8, 2011. Idaho PSAP Standards Committee. Idaho Emergency Communications Commission, <http://idahodispatch.com/index.php?option=com—docman&task=doc—download&gid=3&Itemid=73>.
B.W. Parkinson et al., Global Positioning System: Theory and Applications, vol. 1, Progress in Astronautics and Aeronatics, vol. 163, American Institute of Aeronautics and Astronautics, Inc., p. 184-187, 1996.
Le-Pond Chin, Jyh-Hong Wen, Ting-Way Liu, The Study of the Interconnection of GSM Mobile Communication System Over IP based Network, May 6, 2001, IEEE. Vehicular Technology Conference, vol. 3, pp. 2219-2223.
Yilin Zhao Efficient and reliable date transmission for cellular and GPS based mayday systems, Nov. 1997, IEEE, IEEE Conference on Intelligent Transportation System, 1997. ITSC 97, 555-559.
Extended European Search Report from EPO in European Appl. No. 06827172.5 dated Dec. 29, 2009.
Location Based Services V2 Roaming Support (non proprietary), 80-V8470-2NP A, dated Jan. 27, 2005, pp. 1-56.
International Search Report received in PCT/US11/01971 dated Feb. 28, 2013.
International Search Report received in PCT/US2011/001990 dated Apr. 24, 2012.
International Search Report received in PCT/US2012/000422 dated Dec. 10, 2012.
Related Publications (1)
Number Date Country
20090092232 A1 Apr 2009 US
Provisional Applications (2)
Number Date Country
60960459 Oct 2007 US
60960148 Sep 2007 US