US 11,704,997 B2
Method of generating expected average speed of travel
Peter Mieth, Berlin (DE); Stefan Lorkowski, Berlin (DE); Ralf-Peter Schäfer, Berlin (DE); and Nikolaus Witte, Berlin (DE)
Assigned to TomTom Traffic B.V., Amsterdam (NL)
Filed by TomTom Traffic B.V., Amsterdam (NL)
Filed on Feb. 28, 2017, as Appl. No. 15/444,606.
Application 15/444,606 is a continuation of application No. 13/983,609, granted, now 9,620,007, previously published as PCT/EP2012/051802, filed on Feb. 2, 2012.
Claims priority of provisional application 61/439,011, filed on Feb. 3, 2011.
Claims priority of application No. 1113112 (GB), filed on Jul. 29, 2011.
Prior Publication US 2017/0213454 A1, Jul. 27, 2017
Int. Cl. G08G 1/01 (2006.01); G08G 1/0968 (2006.01); G01C 21/34 (2006.01); G08G 1/00 (2006.01)
CPC G08G 1/0133 (2013.01) [G01C 21/3492 (2013.01); G08G 1/00 (2013.01); G08G 1/0112 (2013.01); G08G 1/0129 (2013.01); G08G 1/0141 (2013.01); G08G 1/09685 (2013.01); G08G 1/096816 (2013.01); G08G 1/096883 (2013.01); G08G 1/012 (2013.01); G08G 1/0116 (2013.01)] 17 Claims
OG exemplary drawing
 
1. A method of predicting an existence of a jam on a segment of an electronic map, the electronic map being representative of a network of segments in an area covered by the electronic map, each segment representing a respective navigable segment of the network and having associated therewith a stored jam probability indicating a likelihood likelihood of a jam on that segment calculated using historic travel data, the method comprising:
determining a set of a plurality of segments of the electronic map;
obtaining live travel data indicative of current or relatively current traffic conditions on at least some of the plurality of segments in the set;
using the stored jam probability for a givena given segment in the set and the live travel data to predict whether the given segment is jammed or not jammed by:
calculating an adjusted jam probability for the given segment using the stored jam probability for the given segment and the live travel data, the calculating including weighting the live travel data for the calculating so that an effect of the live travel data on the adjusted jam probability is dependent on the live travel data obtained, wherein, when less than a cut-off threshold worth of live travel data is obtained for the given segment, the live travel data is weighed so that the live travel data has no effect on the adjusted jam probability;
using the adjusted jam probability for the given segment to predict whether the given segment is jammed or not jammed; and
outputting, to navigation devices, a jam warning for the given segment when the given segment is predicted to be jammed, the jam warning including information to be used by the navigation devices for determining a speed of traffic on the given segment for performing navigation operations.