`571-272-7822
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`Paper 31
`Date: August 10, 2018
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`UNITED STATES PATENT AND TRADEMARK OFFICE
`_____________
`
`BEFORE THE PATENT TRIAL AND APPEAL BOARD
`
`____________
`
`GOOGLE LLC,
`Petitioner,
`
`v.
`
`MAKOR ISSUES & RIGHTS LTD.,
`Patent Owner.
`
`______________________
`
`Case IPR2017-00815
`Patent No. 6,480,783 B1
`_______________________
`
`
`Before HYUN J. JUNG, BEVERLY M. BUNTING, and
`ROBERT L. KINDER, Administrative Patent Judges.
`
`KINDER, Administrative Patent Judge.
`
`
`
`
`FINAL WRITTEN DECISION
`35 U.S.C. § 318(a); 37 C.F.R. § 42.73
`
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`Google, LLC1 (“Petitioner”) filed a Petition pursuant to 35 U.S.C.
`§§ 311–319 to institute an inter partes review of claims 1 and 3 of U.S.
`Patent No. 6,480,783 B1 (“the ’783 patent”). Paper 2. Makor Issues &
`Rights Ltd. (“Patent Owner”) filed a Preliminary Response. Paper 6.
`Applying the standard set forth in 35 U.S.C. § 314(a), we instituted an inter
`partes review of all challenged claims but not on all challenged grounds of
`unpatentability. (Paper 7, “Dec.”).
`During the trial, Patent Owner filed a Patent Owner Response
`(Paper 14, “PO Resp.”), and Petitioner filed a Reply to the Patent Owner
`Response (Paper 19, “Pet. Reply”). Patent Owner also filed a Motion for
`Observations on the Cross-Examination of Dr. Michael S. Braasch (Paper
`22), to which Petitioner responded (Paper 24). An oral hearing was held on
`May 3, 2018, and a copy of the transcript has been made part of the record.
`Paper 27 (“Tr.”).2
`On April 24, 2018, the Supreme Court held that a decision to institute
`under 35 U.S.C. § 314 may not institute on less than all claims challenged in
`the petition. SAS Inst. Inc. v. Iancu, 138 S.Ct. 1348, 1359–60 (2018). On
`April 26, 2018, the Office issued Guidance on the Impact of SAS on AIA
`Trial Proceedings, which states that “if the PTAB institutes a trial, the PTAB
`will institute on all challenges raised in the petition.”
`https://www.uspto.gov/patents-application-process/patent-trial-and-appeal-
`board/trials/guidance-impact-sas-aia-trial. Subsequently, on May 8, 2018,
`
`
`1 Petitioner submitted an updated mandatory notice indicating that
`“Google Inc., converted from a corporation to a limited liability company
`and changed its name to Google LLC, on September 30, 2017.” Paper 10.
`2 Both parties requested to present arguments collectively for IPR2017-
`00815–818. See Papers 21, 23.
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`we issued an Order modifying the Decision on Institution to include review
`of all challenged claims and all grounds presented in the Petition. Paper 26.
`Specifically, the ground challenging claims 1 and 3 as unpatentable based on
`TravTek and Seda under 35 U.S.C. § 103 was included in the trial. Id.; see
`also Paper 28 (ordering supplemental briefing). The parties submitted
`supplemental briefing addressing this added ground – Patent Owner’s
`Supplemental Response (Paper 29, “PO Supp. Resp.”) and thereafter
`Petitioner’s Supplemental Reply (Paper 30, “Pet. Supp. Reply”). The parties
`jointly agreed to waive supplemental oral hearing related to the additional
`issues. See Ex. 3001.
`We have jurisdiction under 35 U.S.C. § 6. This Decision is a Final
`Written Decision under 35 U.S.C. § 318(a) as to the patentability of the
`claims for which we instituted trial. Based on the final trial record, we
`determine that Petitioner has shown, by a preponderance of the evidence,
`that claims 1 and 3 of the ’783 patent are unpatentable.
`
`I. BACKGROUND
`A. Real Party in Interest
`Petitioner names itself and Waze Inc. as the real parties-in-interest.
`Pet. 1.
`
`B. The ʼ783 patent (Ex. 1001)
`The ʼ783 patent is titled “Real Time Vehicle Guidance and
`Forecasting System Under Traffic Jam Conditions.” Ex. 1001, (54). The
`’783 patent issued on November 12, 2002, from U.S. Patent Application
`No. 09/528,134 filed on March 17, 2000. Id. at (45), (21), (22).
`The ’783 patent generally relates to “[a] system and method for real
`time vehicle guidance by [a] Central Traffic Unit [(CTU)].” Id. at Abst.
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`(57). The Specification describes a vehicle guidance system, which includes
`vehicles equipped with Individual Mobile Units (IMUs) including Global
`Positioning System (GPS) units for determining their present position. Id.
`The IMUs are linked communicatively to the CTU computer server. Id.
`The system uses a group of Sample Mobile Units (SMUs) equipped with RF
`transmitters that communicate their position to the CTU at predetermined
`time intervals. Id. The CTU uses the reported positions of the sample
`vehicles to create and maintain a network of real time traffic load disposition
`information for various geographical areas. Id. The IMUs may use the real
`time traffic load disposition information to determine an optimal travel
`route. Id. As explained in the ’783 patent, “[t]he CTU broadcasts the
`updated traffic data collected from a number of sample vehicles via
`Multicast Broadcasting System thereby enabling the IMUs to dynamically
`update the desired optimal travel routes.” Ex. 1001, 1:10–14.
`The Specification of the ’783 patent also describes the ability to detect
`a bottleneck or traffic jam situation when it arises and to estimate a current
`travel time for a corresponding section of road. Id. at Abst. (57). The
`’783 patent describes three methods for determining travel time over a road
`segment: (i) theoretical travel times, (ii) regular empirical travel times, and
`(iii) current travel times. Ex. 1001, 11:46–12:38. Theoretical travel times
`are based on a calculation of road or section length and maximum speed
`allowed on the section. Id. at 11:46–58. Theoretical travel times are
`replaced by regular empirical travel times after the CTU monitors all SMU
`vehicles and records their travel times along sections of roads. Id. at
`11:59–62. These regular travel times are averaged and transformed into
`empirical speed coefficients and stored in a central database associated with
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`a number of categories such as type of road, day of the week, or month. Id.
`at 11:62–66. After sufficient data has been accumulated to estimate
`accurately regular empirical travel times along a section, the CTU will
`provide those regular empirical travel times rather than theoretical travel
`times. Id. at 12:5–10.
`Current travel times are times obtained from a number of vehicles that
`have recently traveled along a section of road. Ex. 1001, 12:11–22. The
`travel times are monitored in real time and the corresponding data for these
`times are stored in special data structures. Id. The data structures for the
`current travel times contain Exit Lists (EXLs), which are multicasted at short
`time intervals from the CTU to end-user databases and made available for
`use by route-finding routines. Id. at 12:12–22. A goal of the current travel
`time monitoring and use “is to detect bottleneck situations, and to modify
`estimated Current Travel Time (CTT) accordingly.” Id. at 12:29–31. The
`’783 patent describes “[t]he criterion for using CTT rather than Regular
`Travel Times (RTT) for various sections is that EXL contains recent enough
`data.” Id. at 12:31–33.
`
`C. Illustrative Claim
`Claim 1 is independent and claim 3 is dependent from claim 1. Claim
`1 is illustrative of the claims at issue and reproduced below:
`1. Multi-layer vehicular navigation system, where preferred
`starting point and destination point of the navigation route are
`significantly geographically different from each other, the
`system comprising:
`a wireless communications system for communicating
`with client vehicles, and a computer system operatively
`connected to the communications system, the computer system
`performing a hierarchically computed route search based on
`current and statistical section data by choosing roads with fastest
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`classifications first, the computer system further combining data
`from intermediate layers subsequently and slowest rated roads
`last and then applying predicted road section coefficients
`corresponding to each route section;
`receiving device for collecting GPS data at predetermined
`time intervals from sample vehicles moving within a predefined
`geographical region;
`map database containing digital road maps of a predefined
`geographical region together with predetermined relevant data
`on road factors;
`said computer system operatively connected to the
`communications system capable of processing in real time said
`GPS data and transforming them into appropriately structured
`data suitable for being stored on the computer;
`a database suitable for storing and updating statistical data
`on traffic loads on individual roads;
`statistical application for collecting structured GPS data,
`computing individual statistical travel time estimates (regular
`times) for predetermined roads, and storing the results;
`statistical means application for periodical updating of the
`said statistical data using statistical criteria for determining
`volumes of data necessary for obtaining valid and reliable
`estimates; and
`computational tools for automatic identification of real
`time traffic jam conditions at various locations of the individual
`roads by utilizing the sample vehicles for measuring time delays.
`Id. at 19:30–20:2.
`
`D. Related Proceedings
`The parties state that the ʼ783 patent is asserted in Makor Issues &
`Rights Ltd. v. Google Inc., Case No. 1:16-cv-00100 (D. Del.). Pet. 2; Paper
`4. Including the instant proceeding, Petitioner has filed the following related
`petitions:
`
`1. IPR2016-01535 (U.S. Patent No. 6,480,783 B1);
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`2. IPR2016-01536 (U.S. Patent No. 6,615,130 B1);
`3. IPR2016-01537 (U.S. Patent No. 6,615,130 B1);
`4. IPR2017-00815 (U.S. Patent No. 6,480,783 B1);
`5. IPR2017-00816 (U.S. Patent No. 6,480,783 B1);
`6. IPR2017-00817 (U.S. Patent No. 6,480,783 B1);
`7. IPR2017-00818 (U.S. Patent No. 6,615,130 B1).
`E. Evidence Relied Upon
`Petitioner relies on the following references:
`U.S. Patent No. 6,401,027 B1, filed May 24, 1999, issued June 4,
`2002 (Ex. 1006, “Xu”);
`U.S. Patent No. 5,845,227, filed Feb. 9, 1996, issued Dec. 1, 1998
`(Ex. 1007, “Peterson”);
`U.S. Patent No. 5,519,619, filed Mar. 14, 1994, issued May 21, 1996
`(Ex. 1019, “Seda”);
`U.S. Patent No. 5,475,387, filed Jan. 6, 1995, issued Dec. 12, 1995
`(Ex. 1020, “Matsumoto”); and,
`TravTek System Architecture Evaluation, July 1995 (Ex. 1004,
`“TravTek”).
`Petitioner relies on the declaration and rebuttal declaration of Michael
`S. Braasch, Ph.D. (Exs. 1003, 1023). Patent Owner relies on the
`declarations of Alex A. Kurzhanskiy, Ph.D. (Exs. 2001, 2003). The parties
`rely on other exhibits as discussed below.
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`F. Instituted Grounds of Unpatentability
`We instituted the instant trial based on the following grounds of
`
`unpatentability. See Dec. 31–32, Paper 26, 3.
`References
`Basis
`TravTek and Seda
`§ 103(a)3
`
`Claims Challenged
`1 and 3
`
`Xu, Matsumoto, and
`Peterson
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`§ 103(a)
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`1 and 3
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`G. Claim Construction
`The Board interprets claims of an unexpired patent using the broadest
`reasonable construction in light of the specification of the patent in which
`they appear. See 37 C.F.R. § 42.100(b); Cuozzo Speed Techs., LLC v. Lee,
`136 S. Ct. 2131, 2144–46 (2016) (upholding the use of the broadest
`reasonable interpretation standard). Under the broadest reasonable
`interpretation standard, and absent any special definitions, claim terms are
`given their ordinary and customary meaning, as would be understood by one
`of ordinary skill in the art in the context of the entire disclosure. In re
`Translogic Tech. Inc., 504 F.3d 1249, 1257 (Fed. Cir. 2007). Any special
`definitions for claim terms or phrases must be set forth with reasonable
`clarity, deliberateness, and precision. In re Paulsen, 30 F.3d 1475, 1480
`(Fed. Cir. 1994). In the absence of such a definition, limitations are not to
`
`
`3 The relevant sections of the Leahy-Smith America Invents Act (“AIA”),
`Pub. L. No. 112–29, 125 Stat. 284 (Sept. 16, 2011), took effect on March 16,
`2013. Because the application from which the ’783 patent issued was filed
`before that date, our citations to Title 35 are to its pre-AIA version.
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`be read from the specification into the claims. See In re Van Geuns, 988
`F.2d 1181, 1184 (Fed. Cir. 1993).
`Petitioner proposes a construction for two claim terms — “GPS data”
`and “road section coefficients.” Pet. 7–9. In Reply, Petitioner addresses
`whether certain terms are subject to 35 U.S.C. § 112 ¶ 6,4 and provides a
`proposed claim interpretation of “traffic jam.” Pet. Reply 1–9, 17–25;
`Paper 11. In turn, Patent Owner proposes a construction of the claim
`limitation “traffic jam” as well as addressing whether certain other terms are
`subject to 35 U.S.C. § 112 ¶ 6. PO Resp. 5–13; Paper 12. Having
`considered the evidence presented, we determine that only express
`construction of the terms “GPS data,” “traffic jam,” and “road section
`coefficients” are necessary for purposes of this Decision. See Vivid Techs.,
`Inc. v. Am. Sci. & Eng’g, Inc., 200 F.3d 795, 803 (Fed. Cir. 1999) (“only
`those terms need be construed that are in controversy, and only to the extent
`necessary to resolve the controversy”). Additionally, we address the issue of
`whether certain terms are in means-plus-function format.
`1. “GPS data”
`Claim 1 requires a “receiving device for collecting GPS data at
`predetermined time intervals from sample vehicles moving within a
`predefined geographical region.” Ex. 1001, 19:44–46.
`Petitioner contends that “GPS data” means “data that was determined
`using signals received from GPS satellites or that is related to use of such
`
`
`4 On September 20, 2017, the Board requested additional claim construction
`briefing related to whether specific claim limitations should be interpreted
`pursuant to 35 U.S.C. § 112 ¶ 6. Paper 9. Petitioner and Patent Owner both
`submitted additional briefing (Papers 11, 12) related to § 112 issues.
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`signals.” Pet. 8. Petitioner relies on the Specification, which provides
`examples of GPS data as: “present positions, the position time, their IDs, and
`their speed vectors at specific time intervals.” Id. (quoting Ex. 1001,
`2:67–3:3). Petitioner argues that these examples demonstrate that
`information may either be generated from a GPS signal, derived from
`multiple GPS signals over time, or are related to use of such signals. Id.
`
`In our Decision on Institution, we determined that the additional
`language (“or that is related to use of such signals”) is not reasonable.
`Dec. 8–9. Our review of the passage in the ’783 patent cited by Petitioner
`(Ex. 1001, 2:67–3:3) reveals that it discloses how “SMU vehicles
`communicate to CTU their GPS data” and not as Petitioner suggests how the
`GPS data is determined. Dec. 9. Thus, we determined that the additional
`clause Petitioner proposes extends the meaning of GPS data to capture data
`or information in a manner unrelated to the ’783 patent. Id. Neither party
`has challenged our initial determination.
`Based on the final trial record, and for the reasons set forth in the
`Decision on Institution, we construe “GPS data” to mean data that was
`determined using signals received from GPS satellites. See Dec. 9.
`2. “Traffic jam”
`Claim 1 requires “computational tools for automatic identification of
`real time traffic jam conditions at various locations of the individual roads
`by utilizing the sample vehicles for measuring time delays.” Ex. 1001,
`19:66–20:2.
`Patent Owner’s Contentions
`Patent Owner contends that
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`“traffic jam” means an abnormal slowdown or bottleneck – one
`that is worse than a statistically computed, regular travel time on
`a section of a route. . . . A typical or routine slowdown, e.g., the
`typical daily congestion during rush hour, does not qualify as a
`“traffic jam” within the ambit of the ’783 Patent claims.
`PO Resp. 5. Patent Owner asserts that its proposed construction
`distinguishes “traffic jam” and “routine congestion” based on the language
`of claim 1 as well as the Specification. Id. Specifically, Patent Owner
`argues that “[a] person of ordinary skill in the art would understand that
`‘statistical travel time estimates (regular times) for predetermined roads’
`would necessarily include regularly-occurring congestion.” Id. Patent
`Owner supports its position by first noting that “claim 1 further goes on to
`recite the computation of ‘traffic jams,’ by using ‘sample vehicles to
`measure time delays,’ which a person of ordinary skill in the art would
`understand must therefore be distinct from regular, statistical, congestion.”
`Id. at 6 (citing Ex. 2003 ¶ 7).
`Patent Owner also directs us to column 12 of the ’783 patent that
`distinguishes between the use of “Current Travel Times” and “Regular
`Travel Times” – the former being used when an unpredictable change in
`traffic conditions is detected, but the latter being typically used for route
`guidance using empirical statistical travel times. Id. Patent Owner notes
`that in the absence of a bottleneck, the “Regular Travel Times” will be used
`for route guidance. Id. (citing Ex. 1001, 12:35–38, 16:43–45). Patent
`Owner argues that “[i]t is during atypical slowdowns that ‘current travel
`times, which reflect sudden and unpredictable changes in traffic conditions,’
`are used instead of Regular Travel Times.” Id. at 7. Patent Owner points to
`two such examples, “when (1) there is a sufficient number of vehicles
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`reporting a bottleneck in a sufficiently recent time period,” and (2) when
`vehicles have spent considerably more time in a section than a
`corresponding Regular Travel Time. Id. at 6 (citing Ex. 1001, 12:31–38).
`Patent Owner concludes that “[t]he ‘traffic jam’ determination that is
`disclosed and claimed in the ’783 Patent is a determination of an abnormal
`slowdown.” Id. at 7 (citing Ex. 2003 ¶¶ 8–9). Based on its understanding,
`Patent Owner thus defines “traffic jam” as an “unpredictable (irregular or
`abnormal) slowdown of all traffic on a segment during a time frame, relative
`to the regular, statistically established travel time for that segment during
`that time frame.” Id. at 7 (citing Ex. 2003 ¶¶ 10–11).
`Petitioner’s Contentions
`Petitioner did not propose a construction for the term “traffic jam” in
`its Petition, but addresses Patent Owner’s position in its Reply. See
`Pet. Reply 1–8. Petitioner contends that we should adopt the plain and
`ordinary meaning of “traffic jam,” and that Patent Owner has proposed an
`“improperly narrow construction” of traffic jam. Id. at 1. Petitioner argues
`that Patent Owner’s proposed construction is also not supported by the
`Specification, not supported by extrinsic evidence, and is inconsistent with
`Patent Owner’s own expert testimony. Id. at 1–7.
`
`Petitioner first contends that Patent Owner’s construction is improper
`“because it is narrower than Makor’s assertions during litigation.” Id. at 1.
`Petitioner next argues that the Specification does not provide a lexicographer
`definition for “traffic jam,” and further does not articulate the outermost
`boundaries for “traffic jam.” Id. at 2–3. Petitioner contends that the
`Specification’s discussion of “Current Travel Times” and “bottlenecks”
`cannot be used to import limitations into the claim term “traffic jam”
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`because the claim language does not refer to the former two terms. Id.
`Also, Petitioner argues that, although “traffic jam” and “bottleneck” may be
`overlapping, they are not otherwise coextensive because the “patent uses
`‘traffic jam’ and ‘bottleneck’ side-by-side in the same sentence.” Id. at 3–4
`(citing Ex. 1001, Abst. (“information on current traffic jams and slow-down
`bottleneck situations”)). Thus, according to Petitioner, “[e]ven if it was
`legally proper to construe ‘traffic jam’ and ‘bottleneck’ as coextensive
`(which it is not), the narrow constructions still could only be proper if the
`outermost limits of ‘bottleneck’ were narrowly limited [as] it is sometimes
`used in the preferred embodiment.” Id. at 4. Even still, Petitioner notes that
`the term “bottleneck” would also have to be construed according to its
`ordinary meaning, which Petitioner maintains is far broader than the narrow
`constructions. Id.
`
`According to Petitioner, the claim language does not impart a special
`meaning to “traffic jam” because the claim “simply recites ‘computing
`individual statistical travel time estimates,’ a computation which is
`necessary regardless which construction is applied.” Id. at 5 (citing
`Ex. 1023 ¶¶ 10–11). Next, Petitioner argues “the claimed ‘automatic
`identification of real time traffic conditions’ makes no reference to using the
`‘individual statistical travel time estimates.’” Id. (quoting Ex. 1001,
`12:26–35). Thus, according to Petitioner, “the claim is necessarily broader
`than solely contemplating a comparison of real time traffic to statistical
`travel times to identify traffic jams.” Id.
`Finally, Petitioner relies on dictionary definitions of “traffic jam” to
`argue the ordinary meaning encompasses any significant slowdown, such as
`“congestion, and resultant stoppage, of traffic, e.g. at a busy junction.” Pet.
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`Reply 6 (quoting Ex. 1031, 4). Petitioner points out that Patent Owner’s
`expert similarly agreed that, in ordinary contexts, “traffic jam” would
`encompass “historical congestion or realtime congestion that also had a
`historical analog.” Id. at 6 (citing Ex. 1028 and Ex. 1030, 19:16–20:17).
`Discussion
`In construing the claims, our analysis begins with, and remains
`centered on, the language of the claims themselves. See Interactive Gift
`Express, Inc. v. Compuserve Inc., 256 F.3d 1323, 1331 (Fed. Cir. 2001).
`“‘[C]laims are not to be read in a vacuum, and limitations therein are to be
`interpreted in light of the specification in giving them their ‘broadest
`reasonable interpretation.’” In re Marosi, 710 F.2d 799, 802 (Fed. Cir.
`1983) (quoting In re Okuzawa, 537 F.2d 545, 548 (CCPA 1976)). “[T]he
`broadest reasonable interpretation must be reasonable in light of the claims
`and specification.” PPC Broadband, Inc. v. Corning Optical Commc’ns RF,
`LLC, 815 F.3d 747, 755 (Fed. Cir. 2016). The broadest reasonable
`interpretation does not mean the broadest possible interpretation, our
`construction “cannot be divorced from the specification and the record
`evidence.” In re NTP, Inc., 654 F.3d 1279, 1288 (Fed. Cir. 2011).
`The disagreement between the parties as to the scope of “traffic jam”
`is focused on whether the term should be construed in a broader lay sense as
`proposed by Petitioner (Pet. Reply 5–7) or whether the term should be
`construed in accordance with the more specific descriptions found in the
`Specification as proposed by Patent Owner (PO Resp. 5–10). As addressed
`in more detail below, we decline to adopt Patent Owner’s proposed claim
`construction in whole because it adds unnecessary ambiguity. For example,
`“irregular or abnormal” do not add clarity to the definition. PO Resp. 8. If a
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`feature is not necessary to give meaning to what the inventor means by a
`claim term, it would be “extraneous” and should not be read into the claim.
`Renishaw PLC v. Marposs Societa’ per Azioni, 158 F.3d 1243, 1249 (Fed.
`Cir. 1998). The Specification, however, does convey that the term “traffic
`jam” is not used in a layman’s sense, but instead used as a description of a
`situation arising from a data comparison meeting certain criteria as discussed
`below.
`We first examine the claim as a whole with a focus on the disputed
`language. The claim language itself requires “computational tools for
`automatic identification of real time traffic jam conditions at various
`locations of the individual roads by utilizing the sample vehicles for
`measuring time delays.” Ex. 1001, 19:66–20:2 (emphasis added). By
`qualifying the claimed traffic jam as being determined in real time, and by
`using “sample vehicles for measuring time delays,” a person of ordinary
`skill in the art would understand that traffic jams are more immediate, e.g.,
`real time, than the regular, statistical, congestion described in the ’783
`patent. PO Resp. 6 (citing Ex. 2003 ¶ 7) (“[C]laim 1 further goes on to
`recite the computation of ‘traffic jams,’ by using ‘sample vehicles to
`measure time delays,’ which a person of ordinary skill in the art would
`understand must therefore be distinct from regular, statistical, congestion.”).
`The claim also requires “collecting structured GPS data” and “computing
`individual statistical travel time estimates (regular times) for predetermined
`roads.” Ex. 1001, 21:21–24. Reading the claim as a whole suggests that a
`“traffic jam” must be a sudden unpredictable change of traffic on a segment
`as compared to these regular times. See Ex. 2003 ¶ 7.
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`The Specification confirms our interpretation. For example, the
`Specification describes a “real time traffic Guidance System, which is
`capable of providing [an] optimal route from the present position of a
`vehicle to a desired target destination when traffic jams may be present.” Id.
`at 2:13–21. The Specification also describes “a true real time system” that
`collects and stores three types of data, including: (1) temporary changes in
`road conditions, (2) regular predictable changes such as everyday
`slowdowns in rush hour, and (3) “[s]udden unpredictable changes such [as]
`traffic accidents, traffic congestion due to sudden and drastic changes in
`traffic arrangements.” Id. at 2:36–48. The Specification describes “Travel
`Times Data” similarly separated into three categories, including a third
`category of “[s]udden unpredictable changes such [as] traffic accidents,
`traffic congestion due to sudden and drastic changes in whether [sic]
`conditions, etc.” Id. at 9:47–10:7. The third category of data is meant to
`encompass traffic jam situations because the Specification further describes,
`“[a]s to factors in the third category, it appears that even empirical travel
`times may be unsuitable for describing traffic conditions arising from
`sudden and unexpected circumstances which might drastically influence
`traffic conditions.” Id. at 10:37–50 (emphasis added). As explained in the
`Specification, “[t]his last feature provides the present invention with truly
`real time capabilities.” Id. Based on these descriptions, the term “traffic
`jam” is meant to convey real time traffic conditions arising from sudden and
`unexpected circumstances that might drastically influence traffic conditions.
`Moreover, the Specification describes using GPS data of vehicles to
`obtain “Regular Empirical Travel Times,” which are described as times
`correlated to regular predictable changes for a particular segment, such as
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`everyday slowdowns in rush hour. Id. at 11:59–12:10. The Specification
`teaches that data from regular travel times may be stored in a central
`database and attached to sections of roads according to a number of
`categories, such as type of road or day of the week. Id. at 11:60–12:4,
`12:31–33. The regular travel time described in the Specification
`corresponds to the claim limitation of “collecting structured GPS data,
`computing individual statistical travel time estimates (regular times) for
`predetermined roads, and storing the results.” Id. at 21:21–24. This
`language specifically ties the regular time value to a “predetermined road,”
`and additional claim limitations require storing the results of the regular
`times according to subdivisions based on time factors. As discussed below,
`regular times are used to determine whether a traffic jam situation exists.
`The Specification further describes detecting a “bottleneck situation,”
`which we determine is used synonymously with “traffic jam.” Id. at 12:26–
`38. For example, the Abstract describes updating travel times based on
`“new information on current traffic jams and slow-down bottlenecks.” Id. at
`Abst. The Specification uses the terms “traffic jam” and “slow-down
`bottleneck” in the same context to convey situations where sample vehicles
`have spent considerably more time than “a regular time stored in the
`database.” Ex. 1001, Abst., 12:36–37 (“considerably more time on S than
`the corresponding [Regular Travel Times] RTT”). In one embodiment for
`detecting a bottleneck, or traffic jam, a “Current Travel Time” (CTT) is used
`and compared to the “Regular Travel Time” (RTT) when a time interval is
`“short enough to consider the detected bottleneck to be current” and when
`each vehicle “has spent considerably more time” on a segment “than the
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`corresponding RTT.” Id. at 12:29–38. Such a situation is “interpreted as a
`bottleneck” or traffic jam. Id.
`The traffic jam discussion in the Background of the Invention is not
`particularly probative of how that term should be construed in the context of
`the ’783 patent. The background explains how another patent (U.S. Patent
`No. 5,699,056) defines a situation as a jam. See Ex. 1001, 1:48–52 (“defines
`a situation as a jam if the average speed is less than a predetermined value”).
`The context makes clear that the ’783 patent distinguishes how it determines
`a traffic jam compared to the ’056 patent. See id. at 1:53–2:10 (“solution
`contains a number of problematic points that require further development”
`and “[a]verage speeds will in this case give no indication of this dynamic
`change, the same being true of a dissipating jam”). We do not view the
`discussion of “a jam” in the Background of the Invention as particularly
`helpful in determining the scope of the claim term “traffic jam” because that
`description also dissuades using average speeds that are “incapable of
`catching a trend.” Id. at 2:7.
`Thus, the Specification consistently equates a traffic jam to situations
`where sudden and unpredictable changes in traffic conditions result in
`considerably more time spent on a segment, as compared to regular times.
`See id. at Abst., 2:43–45, 10:5–7, 10:37–43, 12:36–37. Based on the
`Specification discussed above, and reading claim 1 as a whole, we determine
`that “traffic jam identification” based on measured time delays of sample
`vehicles requires a baseline “regular time” for comparison to determine
`whether or not a traffic jam condition exists. Based on the final trial record,
`we construe “traffic jam,” broadly, but reasonably, as a sudden
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`unpredictable change of traffic in a segment as compared to regular times,
`i.e., individual statistical travel time estimates.
`3. “predicted road section coefficients”
`Claim 1 requires “applying predicted road section coefficients
`corresponding to each route section.” Ex. 1001, 19:42–43.
`Relying on the testimony of Dr. Braasch, Petitioner contends that this
`claim limitation should be interpreted as “coefficients associated with road
`sections in a route search.” Pet. 7 (citing Ex. 1003 ¶ 36). Petitioner points
`out that the “patent specification never mentions the term ‘road section
`coefficient’ (and thus does not provide a lexicographic definition for the
`phrase), but it does refer to several other types of coefficients.” Id.
`Petitioner notes that the Specification discusses:
`• “traffic volume coefficients” (Ex. 1001, 8:23–25);
`• “speed coefficients” which include “empirical speed coefficients” and
`“theoretical speed coefficients” (id. at 9:48–55; 10:29–36; 11:26–34;
`11:62–65”); and,
`• “new time coefficie