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`US 6,401,027 B1
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`1
`REMOTE ROAD TRAFFIC DATA
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`COLLECTION AND INTELLIGENT
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`VEHICLE HIGHWAY SYSTEM
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`TECHNICAL FIELD
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`This invention relates to traffic data collection and intel-
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`in
`ligent routing systems for highway vehicles and,
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`particular, to a system and method for remotely collecting
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`real-time traffic data and providing traffic forecasts and
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`travel guidancefordrivers of vehicles equipped to utilize the
`system.
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`BACKGROUND OF THE INVENTION
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`Modern automobile travel is plagued by excessive traffic
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`congestion due to continuously increasing automobile use.
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`Drivers constantly seek optimum travel routes to minimize
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`driving time. Local area radio andtelevision stations trans-
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`mit traffic alerts to inform drivers of blocked or congested
`traffic routes so that drivers familiar with alternate routes to
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`their respective destinations can alter their planned route to
`minimize driving time. This, however,is often unproductive
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`and results in increased travel
`time. Such traffic alerts
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`disadvantageously require real-time reception by drivers
`prior to entering a congested traffic area. Traffic alerts are
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`often missed because drivers are not
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`station at the proper time. Besides, drivers tend to learn and
`routinely follow the same route day after day without
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`becoming familiar with alternate routes even when they
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`encounter heavy recurring congestion.
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`Roadside signs are also used to warn drivers andre-direct
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`traffic during road construction or traffic congestion. For
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`example, detour signs and electronic roadside billboards are
`used to suggest or require alternate routes. Some electronic
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`billboards are located on main traffic arteries, warning of a
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`pendingtraffic blockage or congestion. However, signs and
`billboards are usually too near the point of congestion or
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`blockage to enable meaningful re-evaluation of a planned
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`route, primarily because of the required close proximal
`relationship betweenthe location of the sign and the point of
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`congestion or blockage. There exists a continuing need to
`improve the collection of accurate traffic congestion data in
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`order to provide accurate route planning information.
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`Governmental agencies provide emergency care service
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`in response to roadside vehicle accidents, as is well known.
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`Governmental agencies in North America have adopted the
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`well-known “911” emergency call system through which
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`road accidents are reported to enable emergency care ser-
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`vices including police,
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`respond. The 911 emergency system relies on the reporting
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`of accidents by private citizens who are typically either
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`witnesses to an accident or are involved in the accident.
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`However, when victimsare incapacitated by injury, or when
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`witnesses are unable to quickly locate a telephone, the 911
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`system fails. Moreover, critical
`time is often lost while
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`searching for a telephone to place the 911 call. In addition,
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`misinformation may be inadvertently given by victims or
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`witnesses unfamiliar with the location of an accident,
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`thereby directing the emergency care providers to a wrong
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`location. There therefore exists a need for a system to more
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`expeditiously provide accurate vehicle traffic accidentinfor-
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`mation to emergency care providers.
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`Automobiles have also been equipped with experimental
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`local area road-map systems which display a portion of a
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`map of interest but do not use a global positioning system
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`(GPS) to determine a vehicle position on the map. The driver
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`is enabled to locate departure and destination points on the
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`10
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`15
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`30
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`35
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`40
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`45
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`50
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`55
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`60
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`65
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`2
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`map, and then visually refers to the displayed map to see the
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`current position of the vehicle as the driver travels toward
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`the destination point. The map system displays a cursor to
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`indicate the current position of a moving vehicle on the
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`display map. The portion of the map that is displayed is
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`periodically adjusted to keep the current position cursor in
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`the center of the displayed map. The system uses a compass
`and a wheel sensor odometer to determine the current
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`position as the vehicle travels on the road. The use ofthis
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`map display system requires the driver to repetitively study
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`the map and then mentally determine and select
`travel
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`routes, directing attention away from the safe operation of
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`the vehicle. This does not promote safe vehicle operation.
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`Besides,
`the compass and wheel odometer technology
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`causes map position error drifts, requiring re-calibration
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`after travelling only a few miles. Moreover, the use of such
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`a map system disadvantageously requires the entry of the
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`departure point each time the driver begins a new route.
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`Additionally, this map system does not perform route guid-
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`ance and is not dynamically updated with current traffic
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`information. There therefore exists a need to improve map
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`systems with a driver friendly interface which reduces
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`diversion away from the safe operation of the vehicle.
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`Certain experimental integrated dynamic vehicle guid-
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`ance systems have been proposed. For example, Motorola
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`has disclosed an intelligent vehicle highway system in block
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`diagram form in a 1993 brochure, and DELCO Electronics
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`has disclosed another intelligent vehicle highway system,
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`also in block diagram form, in Automotive Newspublished
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`on Apr. 12, 1993. These systems use compasstechnology for
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`vehicle positioning. However, displacement wheel sensors
`are plagued bytire slippage, tire wear and are relatively
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`inaccurate, requiring re-calibration of a current vehicle posi-
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`tion. Compasses suffer from drift, particularly when driving
`on a straight road for an extended period of time. These
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`intelligent vehicle highway systems appear to use GPS
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`satellite reception to enhance vehicle tracking on road-maps
`as part of a guidance and control system. GPS data is used
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`to determine when drift errors become excessive and to
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`indicate that re-calibration is necessary. However, the GPS
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`vehicle position. These intelligent vehicle highway systems
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`also use RF receivers to receive dynamic road condition
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`information for dynamic route guidance, and contemplate
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`infrastructure traffic monitoring, for example, a network of
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`road magnetic sensing loops, and contemplate the RF broad-
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`casting of dynamictraffic conditions for route guidance. The
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`disclosed two-way RF communication through the use of a
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`transceiver suggests a dedicated two-way RF radio data
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`system. While two-way RF communication is possible, the
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`flow of information between the vehicles and central sys-
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`tems appears to be exceedingly lopsided. It appears that the
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`amount of the broadcast dynamictraffic flow information
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`from a central
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`vehicles would be far greater than the information transmit-
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`ted from the vehicles to the central traffic control center,
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`since the system is only used to report roadside incidents or
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`accident emergency messages to the control center.
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`To overcome the above disadvantages, U.S. Pat. No.
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`5,504,482 entitled AUTOMOBILE NAVIGATION
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`GUIDANCE, CONTROL AND SAFETY SYSTEM,which
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`issued to K. D. Schreder on Apr. 2, 1996, discloses an
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`automobile route guidance system. In this system, an auto-
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`mobile is equipped with an inertial measuring umit and GPS
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`satellite navigational unit and a local area digitized street
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`map system for precise electronic positioning and route
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`guidance between departures and arrivals. The system is
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`Page 8 of 18
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`Unified Patents Exhibit 1004
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`Page 8 of 18
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`Unified Patents Exhibit 1004
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` (cid:9)
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` (cid:9)
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`Page 9 of 18
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`Unified Patents Exhibit 1004
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`(cid:9)
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`Page 10 of 18
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`Unified Patents Exhibit 1004
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`US 6,401,027 B1
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`8
`7
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`tan areas are separated from one another and are connected
`three satellites in the field of view of any pertinent place on
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`by the continental expressway system. Digitized road net-
`the earth. The precise position of a point can be determined
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`work maps maytherefore broadcast on a regional basis and
`by measuring the time required for the positioning signals of
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`each vehicle keeps only two digitized road network mapsat
`at least three satellites to reach that point. The GPSsatellites
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`any time. One is the continental expressway network map
`42 transmit global positioning information to the GPS
`receivers 22 installed in the vehicles 20. Each receiver 22
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`and the other is a local regional/metropolitan roadway
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`network map. As a vehicle travels from one region to
`interprets the signals from three or more satellites 42 and
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`determines a geographical position with an accuracy within
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`another, it moves away from a previous roadway network
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`an average of 20 meters, which is considered to be a
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`using the continental expressway network map. Meanwhile,
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`positioning error. Differential GPS systems may provide
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`it receives a new roadway network map of the upcoming
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`even greater accuracy using geographic benchmark correc-
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`tion.
`The in-vehicle device also includes a means that allows
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`The existence of this error means that a geographical
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`the driver to report an emergency. The driver may simply
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`position of a vehicle moving on a road derived using the
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`press an emergency button if an emergency arises. When the
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`GPS information may appearto be located, for example, in
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`emergency button is pressed, the in-vehicle device automati-
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`a ditch or even within a roadside building. To correct the
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`cally sends an emergencyreportto the traffic service center
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`vehicle position, a method of converting this geographical
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`position to a location on a corresponding digitized road
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`FIG. 3 illustrates the configuration of the traffic service
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`network map has been developed and will be described
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`center 60. A data exchange interface 62 is provided for
`below.
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`connection of the communication station 50 for receiving
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`A vehicle support sub-system 30 is provided in the
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`the vehicle position data and sending data respecting the
`in-vehicle device 21. It includes a road network locator 32
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`digitized road network maps and real-time traffic forecast
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`(hereinafter locator 32) and a road explorer 34. A mobile
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`data which are to be broadcast. An external party interface
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`radio sub-system 24 is provided for exchanging radio fre-
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`64 is provided to connect the external party data sources 70
`to receive real-time information about weather or road
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`quency data with the traffic service center 60 via the com-
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`munication station 50. Also includedin the in-vehicle device
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`conditions. The real-time information is processed by an
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`21 are a computer system 26 for operating the sub-systems
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`external party data integrator 65 for
`incorporation into
`and storing the digitized road network map.A driver inter-
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`real-timetraffic forecasts. The traffic forecasts are computed
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`face 28 includes a microphone, data entry pad, screen
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`byatraffic forecaster 68 using the collected vehicle position
`30
`data for normal road conditions. The collected vehicle
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`display and loud-speaker to permit drivers to interact with
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`the in-vehicle device 21.
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`position data received from the data exchange interface 62
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`The locator 32 computes the geographical location of the
`is stored in a database 66 to be processed bythe traffic
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`forecaster 68. A traffic service center (TSC) server 67is also
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`vehicle, using data received from the GPS receiver 22, and
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`converts it to a position on the digitized road network map,
`provided for running the traffic forecaster 68 as well as
`whichis broadcast from thetraffic service center 60 via the
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`storing the digitized road network maps and temporarily
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`communication station 50 and stored in the computer system
`storing the real-time traffic forecasts. An operator interface
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`26. From time to time,
`the mobile radio sub-system 24
`including hardware and software for map entry and
`69,
`transmits vehicle position data processed by the locator 32
`maintenance, system supervision, etc. permits operators to
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`to the communication station 50 which forwardsroadtraffic
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`interact with the system 8.
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`data reported from all vehicles 20 travelling the roadway
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`A roadway system 10 is illustrated in FIG. 4. The roadway
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`system 10 to the traffic service center 60 for further pro-
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`system 10 includes a plurality of roads indicated by refer-
`cessing. The processed data is used for forecasting road
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`ence numeral 11. Gencrally, cach road 11 supports two-way
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`traffic conditions. The mobile radio system 24 in the vehicle
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`traffic, permitting vehicles to travel in opposite directions.
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`20 also receives data broadcast by the communication
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`Each one-wayroad,indicated by reference 12, illustrates the
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`station 50. The broadcast data includes digitized road net-
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`traffic direction allowed on the road. As described above, the
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`work map and traffic forecasts. The data received by the
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`roadway system 10 is digitized to form a map. The digital
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`mobile radio sub-system 24 is stored by the computer
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`map includes only intersections and road segments oriented
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`in the traffic direction in order to maintain a data size
`system 26 and the road network explorer 34 uses the data in
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`conjunction with driver’s instructions received from the
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`appropriate for broadcast and storage by the computer
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`driver interface 28 to provide intelligent route guidance. The
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`system 26 of an in-vehicle device 21. A digitized road
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`intelligent route guidance, such as an optimum travel route
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`network map 13 representing the roadway system 10 of FIG.
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`based on real-time traffic conditions, is displayed on the
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`4 is illustrated in FIG. 5. The digitized road network map 13
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`screen display (not shown) of the driver interface 28.
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`is an abstract representation of a roadway system which
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`For the purpose of location reports and route guidance, the
`includes intersections, road segments, parking lots, ramps,
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`digital road network map includes only intersections and
`bridges, overpasses, tunnels, highways and special points.
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`road segments, each road segment having an indicatedtraffic
`Although there are many physical elements in a roadway
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`direction. The size of a digitized road network map is
`system, there are only two classes of elements represented in
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`proportional to the size of the area it represents, densely
`the digital road network map 13: nodes 14 and links 16
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`populated areas having more roads. To map an area, for
`indicating a traffic direction. The node 14 mayrepresent an
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`example, with a population of around one million, a road
`intersection of two or moreroads, an entry to a parking lot,
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`network of about 10,000 intersections and 40,000 one-way
`a junction of a highway with an entry or exit ramp, a starting
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`traffic road segmentsis required. It is assumed that about 20
`or an endpoint of a bridge, a tunnel, an overpass or an
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`bytes are required to map each intersection, and each road
`arbitrary location on a road. A link 16 represents a road
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`segmentin eachtraffic direction. Therefore, one megabyte is
`segment with an orientation indication, which connects two
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`nodes 14 of the road network. A node from which a link
`required to digitize the road network of a metropolitan area
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`of that size. It is not necessary to store a map ofthe entire
`originates is called a source node of the link and a node at
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`which a link terminates is called a sink node. Further, the
`continental roadway system in vehicles because metropoli-
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`10
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`15
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`20
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`25
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`35
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`40
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`45
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`50
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`55
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`60
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`65
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`Page 11 of 18
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`Unified Patents Exhibit 1004
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`Page 11 of 18
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`Unified Patents Exhibit 1004
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`US 6,401,027 B1
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`9
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`link is said to be an outgoing link of the source node and an
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`incoming link of the sink node.
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`When a road segment supports only one-waytraffic, the
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`road segment may be represented by one link having an
`orientation that is the same asthe traffic direction on the road
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`segment. When a road segment supports two-waytraffic, this
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`road segment
`is represented by two oppositely oriented
`links.
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`A road segment may be either straight or curved. In the
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`digitized road network representation, however, all links are
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`straight. Therefore, necessary adjustments are required to
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`make the digitized road network map more meaningful.
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`When a road segment is curved, arbitrary nodes may be
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`inserted to create several shorter straight links. Criteria may
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`be established for determining which curves may be repre-
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`sented as a straight link, and which ones must be segmented
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`into a plurality of straight links. For example, a straight line
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`may be used to represent a curve C if Ls/Lc is sufficiently
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`close to 1, wherein Lc is the length of the curve C and Lsis
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`the length of a straight line connecting end points of the
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`curve C. A predetermined ratio, such as 0.97, for example,
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`may be used. If 0.97<Ls/Lc<1, the curve C may be repre-
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`sented as one straight link.
`FIG. 6 illustrates a slope angle, a, of each link used in
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`vehicle location calculations. Each link 16 has a source node
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`NAand a sink node NBin the digitized road network map
`13. An imaginary link 15 is created in a due east orientation.
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`The slope angle a of the link 16 is determined by computing
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`the angle of rotation between the link 16 and the imaginary
`link 15. The slope angle a of the link 16 is between 0° and
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`+180°. It is represented as a positive angle if the link 16 is
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`in an upper quadrant with respect to the imaginary link 15,
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`and as a negative angle if the link 16 is in a lower quadrant
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`with respect to the imaginary link 15. The slope angle of
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`each link providesa basis for correctly locating a vehicle on
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`the digitized road network map 13.
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`In FIG. 7, node 14 represents an intersection of two roads
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`that are represented by four links 16, Al to A4. Point P
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`represents a current geographical position derived from GPS
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`information and the node 14 is a last known node that the
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`vehicle passed, as determined from previous steps of the
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`vehicle locating process. An imaginary position link 17 is
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`created from the last known node 14 to the current position
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`P. Slope angles of the position link 17 and each of links Al
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`to Ad are calculated using the method described above. In
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`this example, the slope angle of a position link 17is B, the
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`slope angles of links Al to A4 are 0°, 90°, 180° and —90°,
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`respectively. One of the links Al to A4 is selected as a
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