throbber
Trials@uspto.gov
`571-272-7822
`
`
`Paper 22
`Date: August 9, 2018
`
`
`UNITED STATES PATENT AND TRADEMARK OFFICE
`_____________
`
`BEFORE THE PATENT TRIAL AND APPEAL BOARD
`
`____________
`
`GOOGLE LLC,
`Petitioner,
`
`v.
`
`MAKOR ISSUES & RIGHTS LTD.,
`Patent Owner.
`
`______________________
`
`Case IPR2017-00817
`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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`Case IPR2017-00817
`Patent 6,480,783 B1
`
`
`Google, LLC1 (“Petitioner”) filed a Petition pursuant to 35 U.S.C.
`§§ 311–319 to institute an inter partes review of claims 20, 22, and 23 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. (Paper 7, “Dec.”).
`During the trial, Patent Owner filed a Patent Owner Response
`(Paper 11, “PO Resp.”), and Petitioner filed a Reply to the Patent Owner
`Response (Paper 16, “Pet. Reply”). An oral hearing was held on May 3,
`2018, and a copy of the transcript has been made part of the record.
`Paper 21 (“Tr.”).2
`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 20, 22, and 23 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. 2.
`
`
`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 9.
`2 Both parties requested to present arguments collectively for IPR2017-
`00815–818. See Papers 18, 19.
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`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.
`(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
`
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`(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 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.
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`
`C. Illustrative Claim
`Petitioner challenges claims 20, 22, and 23. Each of these claims is
`dependent from independent claim 12.3 Claims 12 and 20, reproduced
`below, are illustrative of the claims at issue:
`12. Method of operating a central traffic guidance unit
`comprising method of calculating an optimal fastest short and
`long range composite travel route for a predetermined extended
`time period corresponding to client's position or requested
`starting and destination points;
`collecting GPS data at predetermined time intervals from
`sample vehicles moving within a predefined geographical
`region;
`providing a map database containing digital road maps of a
`predefined geographical region together with predetermined
`relevant data on road factors;
`processing in real time said GPS data and transforming them
`into appropriately structured data suitable for being stored on
`using a computer system operatively connected
`to a
`communications system;
`storing and updating statistical data on traffic loads on
`individual roads;
`subdividing said statistical data into subdivisions according
`to time factors;
`collecting GPS data and computing individual statistical
`travel time estimates (regular times) for predetermined roads,
`and storing the results according to said subdivisions;
`
`
`3 On February 12, 2018, we issued a final written decision in IPR2016-
`01535 determining that Petitioner has demonstrated by a preponderance of
`the evidence that claims 12–14 and 18 of the ’783 patent are unpatentable
`under 35 U.S.C. § 103 based on Xu and Peterson. IPR2016-01535, Paper
`32, 47. Patent Owner elected not to appeal this determination. See
`Tr. 47:22–49:3.
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`periodical updating of the said statistical data using statistical
`criteria for determining volumes of data necessary for obtaining
`valid and reliable estimates;
`computing real time traffic jam identification at various
`locations of the individual roads by utilizing the sample vehicles
`for measuring time delays; and
`transmitting real time traffic load data updates.
`Id. at 22:50–23:14.
`20. The method in claim 12 further comprising continuous
`tracking sample data lists for each corresponding road section by
`maintaining current status Entry List classified by current IDs
`and entry times of all sample vehicles, past and current duration
`of travel on the given section, wherein Exit times of all sample
`(reporting) vehicles which left that road section within a given
`time interval are registered in Exit Lists containing also the
`vehicles IDs and past travel history interval with all appropriate
`travel times for statistical prediction computations.
`Id. at 24:8–17.
`
`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. 2–3;
`Paper 4, 1. Including the instant proceeding, Petitioner has filed the
`following related petitions:
`1. IPR2016-01535 (U.S. Patent No. 6,480,783 B1);
`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).
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`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”);
`TravTek System Architecture Evaluation, July 1995 (Ex. 1004,
`“TravTek”);
`Danko A. Roozemond, Forecasting Travel Times Based on Actuated
`and Historic Data (1997) (Ex. 1005, “Roozemond”);
`Brian L. Smith and Michael J. Demetsky, Short-Term Traffic Flow
`Prediction: Neural Network Approach, Transportation Research Record,
`1994 (Ex. 1019, “Smith”); and,
`A.T. Vemuri and M. M. Polycarpou, Short-Term Forecasting of
`Traffic Delays in Highway Construction Zones Using On-Line
`Approximators, Mathematical and Computer Modelling Vol. 27 (1998)
`(Ex. 1020, “Vemuri”).
`Petitioner relies on the declaration and rebuttal declaration of Michael
`S. Braasch, Ph.D. (Exs. 1003, 1034). Patent Owner relies on the declaration
`of Alex A. Kurzhanskiy, Ph.D. (Ex. 2001). 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 (Dec. 40):
`Basis
`References
`TravTek and Roozemond § 103(a)4
`
`Claim(s) Challenged
`
`20
`
`TravTek, Roozemond,
`and Smith
`
`§ 103(a)
`
`22, 23
`
`Xu, Peterson, and
`TravTek
`
`Xu, Peterson, and
`Vemuri
`
`
`
`§ 103(a)
`
`20
`
`§ 103(a)
`
`22, 23
`
`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
`
`
`4 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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`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
`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 one claim term — “GPS data.”
`Pet. 8–9. In Reply, Petitioner provides a proposed claim interpretation of
`“traffic jam.” Pet. Reply 1–9. In turn, Patent Owner proposes a construction
`of the claim limitation “traffic jam.” PO Resp. 4–9. Having considered the
`evidence presented, we determine that only express construction of the terms
`“GPS data” and “traffic jam” 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”). We further note that
`these two terms appear in claim 12, and each has already been construed in
`IPR2016-01535 – our determinations below are consistent with the
`interpretations in that that proceeding but based on the final trial record of
`this proceeding. See IPR2016-01535, Paper 32, 8–17.
`1. “GPS data”
`Claim 12 requires the method of operating a central traffic guidance
`unit, to comprise, in pertinent part, the step of “collecting GPS data at
`predetermined time intervals from sample vehicles moving within a
`predefined geographical region.” Ex. 1001, 22:55–57.
`Petitioner contends that “GPS data” means “data that was determined
`using signals received from GPS satellites or that is related to use of such
`signals.” Pet. 9. Petitioner relies on the Specification, which provides
`examples of GPS data as: “present positions, the position time, their IDs, and
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`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. at 9.
`In our Decision on Institution, we determined that the additional
`language (“or that is related to use of such signals”) is not reasonable.
`Dec. 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, as well as in the Final Decision in IPR2017-01535,
`we construe “GPS data” to mean data that was determined using signals
`received from GPS satellites. See Dec. 9. See also IPR2016-01535, Paper
`32, 9 (construing “GPS data” in claim 12).
`2. “Traffic jam”
`Claim 12 requires “computing real time traffic jam identification at
`various locations of the individual roads by utilizing the sample vehicles for
`measuring time delays.” Ex. 1001, 23:11–13.
`Patent Owner’s Contentions
`Patent Owner contends that
`“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
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`typical daily congestion during rush hour, does not qualify as a
`“traffic jam” within the ambit of the ’783 Patent claims.
`PO Resp. 4. Patent Owner asserts that its proposed construction
`distinguishes “traffic jam” and “routine congestion” based on the language
`of claim 12 as well as the Specification. Id. at 4–5. 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. at 5. Patent
`Owner supports its position by first noting that “claim 12 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. (citing Ex. 2001 ¶ 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. at 5–6. Patent Owner
`notes that in the absence of a bottleneck, the “Regular Travel Times” will be
`used for route guidance. Id. (citing Ex. 1001, 12:31–38, 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 6. Patent Owner points to
`two such examples, when (1) there is a sufficient number of vehicles
`reporting a bottleneck in a sufficiently recent time period, and (2) when
`vehicles have spent considerably more time in a section than a
`
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`corresponding Regular Travel Time. Id. at 5–6 (citing Ex. 1001, 12:35–38).
`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 6 (citing Ex. 2001 ¶¶ 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. 2001 ¶¶ 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 1–9. 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 it 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 2.
`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”
`because the claim language does not refer to the former two terms. Id.
`Also, Petitioner argues that, although “traffic jam” and “bottleneck” may be
`
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`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.
`
`Petitioner also argues that 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 6 (citing Ex.
`1034 ¶ 10). Next, Petitioner argues “the claimed ‘real time traffic jam
`identification’ makes no reference to using the ‘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 “congestion, and resultant
`stoppage, of traffic, e.g. at a busy junction,” (Ex. 1031, 4) “a number of
`vehicles so obstructed that they can scarcely move,” (Ex. 1032, 3), and “a
`long line of vehicles on a road that cannot move, or that can only move very
`
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`slowly,” (Ex. 1033, 3). Pet. Reply 6–7. 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 7 (citing Ex. 1029 and Ex. 1030, 19:16–20:17).
`Apart from arguing “the term must be given its ordinary meaning,” (Pet.
`Reply 5) and providing various dictionary definitions set forth above,
`Petitioner does not explicitly provide any definition for “traffic jam” or
`explain what the ordinary meaning should be within the bounds of the
`Specification. See generally Pet. Reply.
`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
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`Specification as proposed by Patent Owner (PO Resp. 4–9). 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. 7. If a
`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 “computing real time traffic
`jam identification at various locations of the individual roads by utilizing the
`sample vehicles for measuring time delays.” Ex. 1001, 23:10–12 (emphasis
`added). By qualifying the claimed traffic jam as being determined in real
`time, and by also by using “sample vehicles to measure 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. 5 (citing Ex. 2001 ¶ 7) (“[C]laim 12
`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 GPS data” and
`“computing individual statistical travel time estimates (regular times) for
`predetermined roads.” Ex. 1001, 23:3–5. Reading the claim as a whole
`
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`suggests that a “traffic jam” must be a sudden unpredictable change of
`traffic on a segment as compared to these regular times. See Ex. 2001 ¶ 7.
`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.”
`Ex. 1001, 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.
`
`
`
`16
`
`

`

`Case IPR2017-00817
`Patent 6,480,783 B1
`
`
`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
`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 GPS data and computing
`individual statistical travel time estimates (regular times) for predetermined
`roads, and storing the results.” Id. at 23:3–6. This language specifically ties
`the regular time value to “predetermined roads,” 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
`
`
`
`17
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`

`Case IPR2017-00817
`Patent 6,480,783 B1
`
`“short enough to consider the detected bottleneck to be current” and when
`each vehicle “has spent considerably more time” on a segment “than the
`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 12 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
`
`
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`

`Case IPR2017-00817
`Patent 6,480,783 B1
`
`trial record, we construe “traffic jam,” broadly, but reasonably, as a sudden
`unpredictable change of traffic in a segment as compared to regular times,
`i.e., individual statistical travel time estimates.
`
`II. ANALYSIS
`Petitioner bears the burden of proving unpatentability of the
`challenged claims, and the burden of persuasion never shifts to Patent
`Owner. Dynamic Drinkware, LLC v. Nat’l Graphics, Inc., 800 F.3d 1375,
`1378 (Fed. Cir. 2015). To prevail, Petitioner must establish the facts
`supporting its challenge by a preponderance of the evidence. 35 U.S.C.
`§ 316(e); 37 C.F.R. § 42.1(d).
`A. Principles of Law
`A claim is unpatentable under § 103(a) if the differences between the
`claimed subject matter and the prior art are such that the subject matter, as a
`whole, would have been obvious at the time the invention was made to a
`person having ordinary skill in the art to which said subject matter pertains.
`KSR Int’l Co. v. Teleflex Inc., 550 U.S. 398, 406 (2007). The question of
`obviousness is resolved on the basis of underlying factual determinations,
`including: (1) the scope and content of the prior art; (2) any differences
`between the claimed subject matter and the prior art; (3) the level of skill in
`the art; and (4) where in evidence, so-called secondary considerations.
`Graham v. John Deere Co. of Kansas City, 383 U.S. 1, 17–18 (1966). We
`analyze the following grounds based on obviousness in accorda

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