Computing and harnessing inferences about the timing,...

Details Computing and harnessing inferences about the timing,... Computing and harnessing inferences about the timing,...

2006-06-30

2009-11-10

To, Tuan C (Department: 3663)

Data processing: vehicles, navigation, and relative location

Navigation

C340S995130, C340S901000

Reexamination Certificate

active

07617042

ABSTRACT:
An information delivery system comprises a receiver component that receives information about the movement, velocity, acceleration, and/or locations over time of a user. A computation component using a predictive model generates a probability distribution relating to one or more of when the user will next be stopped, how long the user will be stopped, how long a pattern of motion, such as walking, driving in stop and go traffic, and smooth highway motion will last, based at least in part upon signals about motion over time. The system can further comprise an alerting component that determines when to provide the user with information based at least in part upon the probability distribution over some aspect of motion or cessation of motion, and optionally the content, or tagged or inferred urgency or importance, of a message or communication.

REFERENCES:
patent: 5444442 (1995-08-01), Sadakata et al.
patent: 5493692 (1996-02-01), Theimer et al.
patent: 5544321 (1996-08-01), Theimer et al.
patent: 5555376 (1996-09-01), Theimer et al.
patent: 5603054 (1997-02-01), Theimer et al.
patent: 5606695 (1997-02-01), Dworzecki
patent: 5611050 (1997-03-01), Theimer et al.
patent: 5812069 (1998-09-01), Albrecht et al.
patent: 5812865 (1998-09-01), Theimer et al.
patent: 5822712 (1998-10-01), Olsson
patent: 5933094 (1999-08-01), Goss et al.
patent: 5959568 (1999-09-01), Woolley
patent: 5987374 (1999-11-01), Akutsu et al.
patent: 5987377 (1999-11-01), Westerlage et al.
patent: 6047260 (2000-04-01), Levinson
patent: 6100819 (2000-08-01), White
patent: 6124826 (2000-09-01), Garthwaite et al.
patent: 6236932 (2001-05-01), Fastenrath
patent: 6240364 (2001-05-01), Kemer et al.
patent: 6256577 (2001-07-01), Graunke
patent: 6298302 (2001-10-01), Walgers et al.
patent: 6314365 (2001-11-01), Smith
patent: 6381533 (2002-04-01), Crane et al.
patent: 6401027 (2002-06-01), Xu et al.
patent: 6401038 (2002-06-01), Gia
patent: 6445968 (2002-09-01), Jalla
patent: 6466232 (2002-10-01), Newell et al.
patent: 6480783 (2002-11-01), Myr
patent: 6513046 (2003-01-01), Abbott, III et al.
patent: 6549915 (2003-04-01), Abbott, III et al.
patent: 6617981 (2003-09-01), Basinger
patent: 6640212 (2003-10-01), Rosse
patent: 6721650 (2004-04-01), Fushiki et al.
patent: 6744383 (2004-06-01), Alfred et al.
patent: 6747675 (2004-06-01), Abbott et al.
patent: 6791580 (2004-09-01), Abbott et al.
patent: 6801223 (2004-10-01), Abbott et al.
patent: 6812937 (2004-11-01), Abbott et al.
patent: 6813558 (2004-11-01), Lapstun et al.
patent: 6842877 (2005-01-01), Robarts et al.
patent: 6882930 (2005-04-01), Trayford et al.
patent: 6909380 (2005-06-01), Brooke
patent: 6970131 (2005-11-01), Percy et al.
patent: 6983139 (2006-01-01), Dowling, et al.
patent: 6985810 (2006-01-01), Moitra et al.
patent: 2001/0029425 (2001-10-01), Myr
patent: 2001/0040590 (2001-11-01), Abbott et al.
patent: 2001/0040591 (2001-11-01), Abbott et al.
patent: 2001/0043231 (2001-11-01), Abbott et al.
patent: 2001/0043232 (2001-11-01), Abbott et al.
patent: 2002/0008637 (2002-01-01), Lemelson et al.
patent: 2002/0010610 (2002-01-01), Jacobs et al.
patent: 2002/0010615 (2002-01-01), Jacobs
patent: 2002/0032689 (2002-03-01), Abbott, III et al.
patent: 2002/0044152 (2002-04-01), Abbott, III et al.
patent: 2002/0052930 (2002-05-01), Abbott et al.
patent: 2002/0052963 (2002-05-01), Abbott et al.
patent: 2002/0054130 (2002-05-01), Abbott, III et al.
patent: 2002/0054174 (2002-05-01), Abbott et al.
patent: 2002/0078204 (2002-06-01), Newell et al.
patent: 2002/0080155 (2002-06-01), Abbott et al.
patent: 2002/0080156 (2002-06-01), Abbott et al.
patent: 2002/0083025 (2002-06-01), Robarts et al.
patent: 2002/0083158 (2002-06-01), Abbott et al.
patent: 2002/0087525 (2002-07-01), Abbott et al.
patent: 2002/0099817 (2002-07-01), Abbott et al.
patent: 2002/0103693 (2002-08-01), Bayer et al.
patent: 2003/0016143 (2003-01-01), Ghazarian
patent: 2003/0018521 (2003-01-01), Kraft et al.
patent: 2003/0046158 (2003-03-01), Kratky
patent: 2003/0046401 (2003-03-01), Abbott et al.
patent: 2003/0065442 (2003-04-01), Touney
patent: 2003/0095043 (2003-05-01), Butzer et al.
patent: 2003/0154476 (2003-08-01), Abbott, III et al.
patent: 2003/0182052 (2003-09-01), DeLorme et al.
patent: 2003/0201912 (2003-10-01), Hashida et al.
patent: 2004/0059622 (2004-03-01), Mueller
patent: 2004/0181495 (2004-09-01), Grush
patent: 2004/0192351 (2004-09-01), Duncan
patent: 2005/0004757 (2005-01-01), Neeman et al.
patent: 2005/0027444 (2005-02-01), Kim
patent: 2005/0034078 (2005-02-01), Abbott et al.
patent: 2005/0038596 (2005-02-01), Yang et al.
patent: 2005/0049765 (2005-03-01), Chetia et al.
patent: 2005/0234758 (2005-10-01), Nishi
patent: 2005/0256754 (2005-11-01), Nastacio
patent: 2005/0288849 (2005-12-01), Rothman et al.
patent: 2006/0041379 (2006-02-01), Brulle-Drews
patent: 2006/0082472 (2006-04-01), Adachi et al.
patent: 2007/0005246 (2007-01-01), Kappi
patent: 2008/0010002 (2008-01-01), DeKock et al.
patent: 9800787 (1998-01-01), None
patent: 9854682 (1998-12-01), None
patent: 0163451 (2001-08-01), None
patent: 0193070 (2001-12-01), None
patent: 2004021306 (2004-03-01), None
patent: 2005036471 (2005-04-01), None
Simon Handley, et al. Learning to Predict the Duration of an Automobile Trip. Proceedings of the Fourth International Conference on Knowledge Discovery and Data Mining. 1998, pp. 1-5, New York.
John Fawcett, et al. Adaptive Routing for Road Traffic. IEEE Computer Graphics and Applications. May/Jun. 2000, pp. 46-53. vol. 20, No. 3.
Toshihiko Oda, et al. Evaluation of Measured Travel Time Utilizing Two-way Communication in UTMS. Third World Congress on Intelligent Transport Systems. 1996. Orlando, Florida.
Karen Zita Haigh, et al. Exploiting Domain Geometry in Analogical Route Planning. Journal of Experimental and Theoretical AI, 1997. pp. 509-541. vol. 9, No. 4.
John Krumm, et al. The Microsoft Multiperson Location Survey. Aug. 2005, pp. 1-4. Microsoft Research.
Lawrence R. Rabiner. A Tutorial on Hidden Markov Models and Selected Applications in Speech Recognition. Proceedings of the IEEE. Feb. 1989. vol. 77, No. 2. pp. 257-286.
Auto Route. http://www.microsoft.com/uk/homepc/autoroute/see/default.mspx. Last accessed on Mar. 1, 2006. 2006 Microsoft Corporation.
Take a Free Trip on Auto-Pilot. http://www.freetrip.com/. Last accessed on Mar. 1, 2006. 2 pgs.
Jeff Kurtz, et al. Map Navigation Experiment. http://www.itl.nist.gov/iaui/vvrg
ist-icv/experiments/mapnav/ mapnav.html. Last accessed on Mar. 1, 2006. 3 pgs.
Stefan Edelkamp, et al. Route planning and map inference with global positioning traces. Computer Science in Perspective. 2003. pp. 128-151. Springer-Verlag New York, Inc.
William H. K. Lam. Comparison of two non-parametric models for daily traffic forecasting in Hong Kong. Journal of Forecasting. Feb. 27, 2006. 2 pgs. John Wiley & Sons, Ltd.
Raffaele Bolla. A new model for network traffic forecast based on user's mobility in cellular networks with highway stretches. International Journal of Communication Systems. Sep. 22, 2004. pp. 911-934. vol. 17, Issue 10. John Wiley & Sons, Ltd.
Joao Paulo Barros. Activities as Behaviour Aspects. http://lglwww.epfl.ch/workshops/uml2002/papers/barros.pdf. Last accessed on Mar. 3, 2006. 6 pgs.
K Meister, et al. Generating daily activity schedules for households using Genetic Algorithms. 5th Swiss Transport Research Conference. Mar. 9-11, 2005. 26 pgs. Monte Verità / Ascona.
S.T. Doherty, et al. The Development of a Unified Modeling Framework for the Household Activity-Travel Scheduling Process. Traffic and Mobility: Simulation-Economics-Environment, eds. W. Brilon, F. Huber, M. Schreckengerg, and H. Wallentowitzpp. pp. 35-56. Berlin: Springer.
Has ITS4mobility the capability to ensure reliable operation and realistic prediction of vehicle arrival and/or departure times? http://www.volvo.com/mobilitysystems/global/en-gb/FAQ/RealisticPredictionsArrivals.htm. Last accessed on Mar. 2, 2006.
TriMet Transit Tracker Implementation. Innovations in Public Transit. Jan. 4, 2005. 7 pgs.
Daniel Ashbrook, et al. Enabling Ad{Hoc Collaboration Through S

Affiliated with

Also associated with

Rating

Computing and harnessing inferences about the timing,... does not yet have a rating. At this time, there are no reviews or comments for this patent.

If you have personal experience with Computing and harnessing inferences about the timing,..., we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Computing and harnessing inferences about the timing,... will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFUS-PAI-O-4100682