IP Library Granted Patent US 10,082,403
Granted Patent B2
US 10,082,403 · App. 14/932,552 · Granted Sep 25, 2018

System for vehicle routing that combines real-time and likelihood information for traffic, construction and weather

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Quick Facts
Patent No.
US 10,082,403
App. No.
14/932,552
Granted
Sep 25, 2018
Kind
B2
Abstract

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.

Claims (36)

1. A system comprising:

a route historical database storing likelihood routing information, the likelihood routing information 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 percentage likelihood that the route will have increased traffic or a slower drive time under the one or more defined conditions; and

a route processor configured 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, or weather from a condition-monitoring service;

generating the routing information based on a combination of the received real-time information and the likelihood routing information; and

transmitting the generated routing information to the user device based on the request.

2. The system of claim 1 , wherein the generating of the routing information comprises adjusting the received real-time information based on the likelihood routing information.

3. The system of claim 1 , wherein the user device comprises routing system.

4. The system of claim 3 , wherein the routing system is a map-based routing system.

5. The system of claim 3 , wherein the routing system is part of a Global Positioning System (GPS) navigation system.

6. The system of claim 1 , wherein the request for routing information comprises an identification of an origin location for the routing information and an identification of a destination location for the routing information.

7. 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, an 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 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 percentage likelihood that the route will have increased traffic or a slower drive time under the one or more defined conditions;

generating, by at least one hardware processor, the routing information based on a combination of 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.

8. The computer-implemented method of claim 7 , wherein the generating of the routing information comprises adjusting the received real-time information based on the likelihood routing information.

9. The computer-implemented method of claim 7 , wherein the user device comprises routing system.

10. The computer-implemented method of claim 9 , wherein the routing system is a map-based routing system.

11. The computer-implemented method of claim 9 , wherein the routing system is part of a Global Positioning System (GPS) navigation system.

12. The computer-implemented method of claim 7 , wherein the request for routing information comprises an identification of an origin location for the routing information and an identification of a destination location for the routing information.

13. 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, an and weather from a condition-monitoring service;

receiving likelihood routing information from a route historical database, the likelihood routing information 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 percentage likelihood that the route will have increased traffic or a slower drive time under the one or more defined conditions;

generating the routing information based on a combination of the received realtime information and the likelihood routing information; and

transmitting the generated routing information to the user device based on the request.

14. The non-transitory computer readable medium of claim 13 , wherein the generating of the routing information comprises adjusting the received real-time information based on the likelihood routing information.

15. The non-transitory computer readable medium of claim 13 , wherein the probability comprises a percentage likelihood that the route will have increased traffic or a slower drive time under the one or more defined conditions.

16. The non-transitory computer readable medium of claim 13 , wherein the user device comprises routing system.

17. The non-transitory computer read medium of claim 16 , wherein the routing system is a map-based routing system.

18. The non-transitory computer readable medium of claim 13 , wherein the request for routing information comprises an identification of an origin location for the routing information and an identification of a destination location for the routing information.

Assignments (8)
RELEASE OF SECURITY INTEREST Recorded Oct 3, 2024
From: MORGAN STANLEY SENIOR FUNDING, INC., AS ADMINISTRATIVE AGENT
To: UBER TECHNOLOGIES, INC.
Reel/Frame 069110/0508 →
TERMINATION AND RELEASE OF PATENT SECURITY AGREEMENT (TERM LOAN) AT REEL 050767, FRAME 0076 Recorded Sep 11, 2024
From: MORGAN STANLEY SENIOR FUNDING, INC. AS ADMINISTRATIVE AGENT
To: UBER TECHNOLOGIES, INC.
Reel/Frame 069133/0167 →
RELEASE OF SECURITY INTEREST Recorded Mar 10, 2021
From: CORTLAND CAPITAL MARKET SERVICES LLC, AS ADMINISTRATIVE AGENT
To: UBER TECHNOLOGIES, INC.
Reel/Frame 055547/0404 →
SECURITY INTEREST Recorded Oct 18, 2019
From: UBER TECHNOLOGIES, INC.
To: MORGAN STANLEY SENIOR FUNDING, INC., AS ADMINISTRATIVE AGENT
Reel/Frame 050767/0076 →
SECURITY INTEREST Recorded Oct 18, 2019
From: UBER TECHNOLOGIES, INC.
To: MORGAN STANLEY SENIOR FUNDING, INC., AS ADMINISTRATIVE AGENT
Reel/Frame 050767/0109 →
CORRECTIVE ASSIGNMENT TO CORRECT THE PROPERTY NUMBER PREVIOUSLY RECORDED AT REEL: 45853 FRAME: 418. ASSIGNOR(S) HEREBY CONFIRMS THE ASSIGNMENT. Recorded Jul 26, 2018
From: UBER TECHNOLOGIES, INC.
To: CORTLAND CAPITAL MARKET SERVICES LLC, AS ADMINISTRATIVE AGENT
Reel/Frame 049259/0064 →
SECURITY INTEREST Recorded Apr 6, 2018
From: UBER TECHNOLOGIES, INC.
To: CORTLAND CAPITAL MARKET SERVICES LLC, AS ADMINISTRATIVE AGENT
Reel/Frame 045853/0418 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Sep 14, 2017
From: ETTINGER, ESTHER; FUCHS, GIL
To: UBER TECHNOLOGIES, INC.
Reel/Frame 043859/0822 →