Method and system for determining effect of weather conditions on transportation networks
First Claim
1. A system for determining an effect of a weather condition on a transportation network, the system comprising:
- a transceiver configured to;
receive one or more parameters of said weather condition in one or more locations of a geographical area for time intervals for a predetermined time-period, andreceive global positioning system (GPS) data comprising actual arrival times of one or more vehicles, associated with said transportation network, at said one or more location of said geographical area for said time intervals; and
one or more processors configured to;
determine a delay from a scheduled time of arrival of said one or more vehicles relative to said actual arrival time at said one or more locations for each of said time intervals;
convert, for each of said time intervals, said delay at said one or more locations into a first discrete binary value that represents a presence or absence of said delay;
convert, for each of said time intervals, said one or more parameters of said weather condition at said one or more locations into a second discrete binary value that represents a presence or absence of said weather condition;
apply a mutual information based correlation technique to said first discrete binary values and said second discrete binary values of the predetermined time-period, wherein said application of said mutual information based correlation technique determines a sensitivity of said one or more locations to said weather condition;
display, through a user interface, said sensitivity of said one or more locations as a first layer overlaid on a map of said geographical area; and
adjust a travel route of one or more vehicles in said transportation network based at least partially on said sensitivity of said one or more locations.
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Accused Products
Abstract
The disclosed embodiments illustrate methods and systems for determining an effect of a weather condition on a transportation network. The method includes receiving one or more parameters of the weather condition in a geographical area for a predetermined time-period. The method further includes determining a delay from a scheduled time of arrival of one or more vehicles, associated with the transportation network, at a location from one or more locations, in the transportation network, in the geographical area for the predetermined time-period. Thereafter, a sensitivity of the one or more locations to the weather condition of the geographical area is determined by correlating the delay with the one or more parameters of the weather condition. Further, the sensitivity of the one or more locations is displayed, through a user interface, as a first layer overlaid on a map of the geographical area.
12 Citations
19 Claims
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1. A system for determining an effect of a weather condition on a transportation network, the system comprising:
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a transceiver configured to; receive one or more parameters of said weather condition in one or more locations of a geographical area for time intervals for a predetermined time-period, and receive global positioning system (GPS) data comprising actual arrival times of one or more vehicles, associated with said transportation network, at said one or more location of said geographical area for said time intervals; and one or more processors configured to; determine a delay from a scheduled time of arrival of said one or more vehicles relative to said actual arrival time at said one or more locations for each of said time intervals; convert, for each of said time intervals, said delay at said one or more locations into a first discrete binary value that represents a presence or absence of said delay; convert, for each of said time intervals, said one or more parameters of said weather condition at said one or more locations into a second discrete binary value that represents a presence or absence of said weather condition; apply a mutual information based correlation technique to said first discrete binary values and said second discrete binary values of the predetermined time-period, wherein said application of said mutual information based correlation technique determines a sensitivity of said one or more locations to said weather condition; display, through a user interface, said sensitivity of said one or more locations as a first layer overlaid on a map of said geographical area; and adjust a travel route of one or more vehicles in said transportation network based at least partially on said sensitivity of said one or more locations. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8)
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9. A method for determining an effect of a weather condition on a transportation network, the method comprising:
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receiving, by a transceiver, one or more parameters of said weather condition in one or more locations of a geographical area for time intervals for a predetermined time-period; receiving global positioning system (GPS) data comprising actual arrival times of one or more vehicles, associated with said transportation network, at said one or more location of said geographical area for said time intervals; determining, by one or more processors, a delay from a scheduled time of arrival of said one or more vehicles relative to said actual arrival time at said one or more locations for each of said time intervals; converting, for each of said time intervals, said delay at said one or more locations into a first discrete binary value that represents a presence or absence of said delay; converting, for each of said time intervals, said one or more parameters of said weather condition at said one or more locations into a second discrete binary value that represents a presence or absence of said weather condition; applying, by said one or more processors, a mutual information based correlation technique to said first discrete binary values and said second discrete binary values of the predetermined time-period, wherein said application of said mutual information based correlation technique determines a sensitivity of said one or more locations to said weather condition; displaying, through a user interface, by said one or more processors, said sensitivity of said one or more locations as a first layer overlaid on a map of said geographical area; and adjusting a travel route of one or more vehicles in said transportation network based at least partially on said sensitivity of said one or more locations. - View Dependent Claims (10, 11, 12, 13, 14, 15, 16)
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17. A computer program product for use with a computing device, the computer program product comprising a non-transitory computer readable medium, the non-transitory computer readable medium stores a computer program code for determining an effect of a weather condition on a transportation network, the computer program code is executable by one or more processors in the computing device to:
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receive, by a transceiver, one or more parameters of said weather condition in one or more locations of a geographical area for time intervals for a predetermined time-period, and receive, by a transceiver, global positioning system (GPS) data comprising actual arrival times of one or more vehicles, associated with said transportation network, at said one or more location of said geographical area for said time intervals; determine, by said one or more processors, a delay from a scheduled time of arrival of said one or more vehicles relative to said actual arrival time at said one or more locations for each of said time intervals; apply, by said one or more processors, a mutual information based correlation technique to said first discrete binary values and said second discrete binary values of the predetermined time-period, wherein said application of said mutual information based correlation technique determines a sensitivity of said one or more locations to said weather condition; display, through a user interface, by said one or more processors, said sensitivity of said one or more locations as a first layer overlaid on a map of said geographical area; and adjust a travel route of one or more vehicles in said transportation network based at least partially on said sensitivity of said one or more locations. - View Dependent Claims (18, 19)
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Specification