System and method for improved routing that combines real-time and likelihood information
View Patent ↗A system and method for improved routing that combines real-time and likelihood information. In accordance with an embodiment, the system comprises a digital map/map information; a likelihood routing information; a route processor; wherein, when a request is received from a user/driver, or from another system, to receive a routing information, the system receives real-time information from a traffic-monitoring device or service providing real-time information; wherein the route processor adjusts the received real-time information based on the system's likelihood routing information; and wherein the routing information based on the combination of real-time and likelihood information can then be provided to the user/driver or other system in response to the original request.
1. A computer-implemented method comprising:
receiving, by at least one hardware processor, a request for routing information from a user device;
receiving, by at least one hardware processor, real-time information about at least one of traffic, construction, and weather from a condition-monitoring service;
receiving, by at least one hardware processor, likelihood routing information from a route historical database, the likelihood routing information being stored in the route historical database and comprising:
a plurality of routes, and, for each one of the plurality of routes, one or more defined conditions together with a probability that the route will have one or more particular characteristics under the one or more defined conditions, the probability comprising a likelihood that a traffic level for the route or a drive time for the route will be affected in a particular way under the one or more defined conditions;
generating, by at least one hardware processor, the routing information based on the received real-time information and the likelihood routing information; and
transmitting, by at least one hardware processor, the generated routing information to the user device based on the request.
2. The computer-implemented method of claim 1 , wherein the likelihood comprises a numerical likelihood.
3. The computer-implemented method of claim 2 , wherein the numerical likelihood comprises a percentage likelihood.
4. The computer-implemented method of claim 1 , wherein the likelihood comprises a likelihood that the route will have increased traffic or a slower drive time under the one or more defined conditions.
5. The computer-implemented method of claim 1 , wherein the user device comprises a Global Positioning System (GPS) navigation system.
6. The computer-implemented method of claim 1 , wherein the one or more defined conditions comprise at least one of a particular calendar date, a particular time of day, a particular weather condition.
7. The computer-implemented method of claim 1 , wherein the request for routing information comprises a request for routing information for a user of the user device to follow from an origin location to a destination location, and the generated routing information comprises routing information for the user of the user device to follow from the origin location to the destination location.
8. A system comprising:
at least one hardware processor; and
a non-transitory computer readable medium having instructions stored thereon which when read and executed by a computer cause the computer to perform operations comprising:
receiving a request for routing information from a user device;
receiving real-time information about at least one of traffic, construction, and weather from a condition-monitoring service;
receiving likelihood routing information from a route historical database, the likelihood routing information being stored in the route historical database and comprising:
a plurality of routes, and, for each one of the plurality of routes, one or more defined conditions together with a probability that the route will have one or more particular characteristics under the one or more defined conditions, the probability comprising a likelihood that a traffic level for the route or a drive time for the route will be affected in a particular way under the one or more defined conditions;
generating the routing information based on the received real-time information and the likelihood routing information; and
transmitting the generated routing information to the user device based on the request.
9. The system of claim 8 , wherein the likelihood comprises a numerical likelihood.
10. The system of claim 9 , wherein the numerical likelihood comprises a percentage likelihood.
11. The system of claim 8 , wherein the likelihood comprises a likelihood that the route will have increased traffic or a slower drive time under the one or more defined conditions.
12. The system of claim 8 , wherein the user device comprises a Global Positioning System ((SPS) navigation system.
13. The system of claim 8 , wherein the one or more defined conditions comprise at least one of a particular calendar date, a particular time of day a particular weather condition.
14. The system of claim 8 , wherein the request for routing information comprises a request for routing information for a user of the user device to follow from an origin location to a destination location, and the generated routing information comprises routing information for the user of the user device to follow from the origin location to the destination location.
15. A non-transitory computer readable medium having instructions stored thereon which when read and executed by a computer cause the computer to perform operations comprising:
receiving a request for routing information from a user device;
receiving real-time information about at least one of traffic, construction, and weather from a condition-monitoring service;
receiving likelihood routing information from a route historical database, the likelihood routing information being stored in the route historical database and comprising:
a plurality of routes, and, for each one of the plurality of routes, one or more defined conditions together with a probability that the route will have one or more particular characteristics under the one or more defined conditions, the probability comprising a likelihood that a traffic level for the route or a drive time for the route will be affected in a particular way under the one or more defined conditions;
generating the routing information based on the received real-time information and the likelihood routing information; and
transmitting the generated routing information to the user device based on the request.
16. The non-transitory computer readable medium of claim 15 , wherein the likelihood comprises a numerical likelihood.
17. The non-transitory computer readable medium of claim 16 , wherein the numerical likelihood comprises a percentage likelihood.
18. The non-transitory computer readable medium of claim 15 , wherein the likelihood comprises a likelihood that the route will have increased traffic or a slower drive time under the one or more defined conditions.
19. The non-transitory computer readable medium of claim 15 , wherein the request for routing information comprises a request for routing information for a user of the user device to follow from an origin location to a destination location, and the generated routing information comprises routing information for the user of the user device to follow from the origin location to the destination location.
20. The non-transitory computer readable medium of claim 15 , wherein the one or more defined conditions comprise at least one of a particular calendar date, a particular time of day, a particular weather condition.