Data processing: vehicles – navigation – and relative location – Vehicle control – guidance – operation – or indication – Traffic analysis or control of surface vehicle
Reexamination Certificate
2011-04-12
2011-04-12
Nguyen, Cuong H (Department: 3661)
Data processing: vehicles, navigation, and relative location
Vehicle control, guidance, operation, or indication
Traffic analysis or control of surface vehicle
C701S117000, C701S119000, C701S210000, C340S995130, C340S995170, C340S995190
Reexamination Certificate
active
07925425
ABSTRACT:
Navigation information distribution systems, methods, and programs transfer a piece of vehicle position information to an information distribution center every predetermined time period, the piece of vehicle information including a vehicle position and a time when the vehicle passes through the vehicle position. The systems, methods, and programs receive pieces of vehicle position information and traffic information including congestion information, store the received pieces of vehicle position information in order of arrival, and specify a congested road section on the basis of congestion information. The systems, methods, and programs assign a weight of a first travel distance within the congested road section, the weight of the first travel distance calculated on the basis of two of the received pieces of vehicle position information received from the navigation apparatus and congestion information about the congested section. The systems, methods, and programs calculate a first travel time corresponding to the first travel distance, calculate the congested section travel time necessary for passing through the congested section based on the calculated first travel time, and distribute the calculated congested section travel time to a navigation apparatus.
REFERENCES:
patent: 5182555 (1993-01-01), Sumner
patent: 5257023 (1993-10-01), Furuya
patent: 5420794 (1995-05-01), James
patent: 5646853 (1997-07-01), Takahashi et al.
patent: 6246932 (2001-06-01), Kageyama et al.
patent: 6282486 (2001-08-01), Bates et al.
patent: 6314360 (2001-11-01), Becker
patent: 6385531 (2002-05-01), Bates et al.
patent: 6401027 (2002-06-01), Xu et al.
patent: 6433704 (2002-08-01), Fushiki et al.
patent: 6542815 (2003-04-01), Ishizaki et al.
patent: 7089107 (2006-08-01), Jones
patent: 7113110 (2006-09-01), Horstemeyer
patent: 7418338 (2008-08-01), Ohnishi et al.
patent: 7538691 (2009-05-01), Horstemeyer
patent: 7580788 (2009-08-01), Hiruta et al.
patent: 2005/0093720 (2005-05-01), Yamane et al.
patent: 2006/0161334 (2006-07-01), Teramae
patent: 2008/0077316 (2008-03-01), Yamane et al.
patent: 2009/0177373 (2009-07-01), Groenhuijzen et al.
patent: 2009/0287408 (2009-11-01), Gerdes et al.
patent: 2010/0174474 (2010-07-01), Nagase
patent: 2010/0185382 (2010-07-01), Barker et al.
patent: 2010/0185384 (2010-07-01), Naito et al.
patent: 2010/0188265 (2010-07-01), Hill et al.
patent: 2010/0222999 (2010-09-01), DeVries et al.
patent: 2010/0254282 (2010-10-01), Chan et al.
patent: 2010/0292916 (2010-11-01), Kurciska et al.
patent: 097141348 (2010-10-01), None
patent: A-2003-16570 (2003-01-01), None
patent: A-2003-178396 (2003-06-01), None
patent: A 2004-020288 (2004-01-01), None
patent: A-2005-265708 (2005-09-01), None
patent: PCT/JP2008/062937 (2010-01-01), None
patent: PCT/JP2009/053799 (2010-03-01), None
patent: PCT/JP2007/060494 (2010-11-01), None
ECODA: Enhanced congestion detection and avoidance for multiple class of traffic in sensor networks; Liqiang Tao; Fengqi Yu; Communications, 2009. APCC 2009. 15th Asia-Pacific Conference on; Digital Object Identifier: 10.1109/APCC.2009.5375498 Publication Year: 2009 , pp. 726-730; cited by other.
V2X-Based Traffic Congestion Recognition and Avoidance; Wedel, J.W.; Schunemann, B.; Radusch, I.; Pervasive Systems, Algorithms, and Networks (ISPAN), 2009 10th International Symposium on; Digital Object Identifier: 10.1109/I-SPAN.2009.71 Publication Year: 2009 , pp. 637-641; cited by other.
T. Queck, B. Sch{umlaut over ( )}unemann, I. Radusch, and C. Meinel, “Realistic simulation of v2x communication scenarios,” in APSCC '08: Proceedings of the 2008 IEEE Asia-Pacific Services Computing Conference; Washington, DC, USA: IEEE Computer Society, 2008, pp. 1623-1627; cited by other.
A. Wegener, M. Piorkowski, M. Raya, H. Hellbr{umlaut over ( )}uck, S. Fischer, and J.-P. Hubaux, “TraCl: An Interface for Coupling Road Traffic and Network Simulators,” in 11th Communications and Networking Simulation; Symposium (CNS'08), 2008; cited by other.
Benefits of dynamic route guidance systems as part of a future oriented city traffic management system; Sparmann, J.M.; Vehicle Navigation and Information Systems Conference, 1991; vol. 2; Digital Object Identifier: 10.1109/VNIS.1991.205829 Publication Year: 1991 , pp. 839-847.
A dynamic navigation scheme for vehicular ad hoc networks; Yan-Jing Wu; Wei-Cheng Sung; Networked Computing and Advanced Information Management (NCM), 2010 Sixth International Conference on; Publication Year: 2010 , pp. 231-235.
Travel times as a basic part of the LISB guidance strategy; Hoffmann, G.; Janko, J.; Road Traffic Control, 1990., Third International Conference on; Publication Year: 1990 , pp. 6-10.
Comparison of Travel Time Estimation Using Analysis and Queuing Theory to Field Data Along Freeways; Jiyoun Yeon; Byungkon Ko; Multimedia and Ubiquitous Engineering, 2007. MUE '07. International Conference on; Digital Object Identifier: 10.1109/MUE.2007.105; Publication Year: 2007 , pp. 530-538.
An Automobile Control Method for Alleviation of Traffic Congestions Using Inter-Vehicle Ad Hoc Communication in Lattice-Like Roads; Inoue, S.; Shozaki, K.; Kakuda, Y.; Globecom Workshops, 2007 IEEE; Digital Object Identifier: 10.1109/GLOCOMW.2007.4437828; Publication Year: 2007 , pp. 1-6.
A global routing strategy in dynamic traffic environments with a combination of Q value-based dynamic programming and boltzmann distribution; Shanqing Yu et al.; SICE Annual Conference, 2008; Digital Object Identifier: 10.1109/SICE.2008.4654732; Publication Year: 2008 , pp. 623-627.
Practical travel time prediction algorithms based on neural network and data fusion for urban expressway; Dewang Chen et al.; Natural Computation (ICNC), 2010 Sixth International Conference on; vol. 4; Digital Object Identifier: 10.1109/ICNC.2010.5584403; Publication Year: 2010 , pp. 1754-1758.
Determining time to traverse road sections based on mapping discrete GPS vehicle data to continuous flows; Miller, J. et al.; Intelligent Vehicles Symposium (IV), 2010 IEEE; Digital Object Identifier: 10.1109/IVS.2010.5548009; Publication Year: 2010 , pp. 615-620.
Reliability of real-time information systems for route choice decisions in a congested traffic network: Some simulation experiments; Chen, P.S.; Mahmassani, H.S.; Vehicle Navigation and Information Systems Conference, 1991; vol. 2 Digital Object Identifier: 10.1109/VNIS.1991.205830; Publication Year: 1991 , pp. 849-856.
European Search Report issued in Application No. 07 00 5806 on Sep. 7, 2009.
Nagase Kenji
Tomita Hiroshi
Aisin Aw Co. Ltd.
Nguyen Cuong H
Oliff & Berridg,e PLC
LandOfFree
Navigation information distribution systems, methods, and... does not yet have a rating. At this time, there are no reviews or comments for this patent.
If you have personal experience with Navigation information distribution systems, methods, and..., we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Navigation information distribution systems, methods, and... will most certainly appreciate the feedback.
Profile ID: LFUS-PAI-O-2727607