IP Library Granted Patent US 9,401,088
Granted Patent B2
US 9,401,088 · App. 14/692,097 · Granted Jul 26, 2016

Method for predicting a travel time for a traffic route

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Quick Facts
Patent No.
US 9,401,088
App. No.
14/692,097
Granted
Jul 26, 2016
Kind
B2
Abstract

A system for predicting a travel time for a traffic route is disclosed. The traffic route comprises one or more road segments. A predicted travel time for each of those segments is calculated based, in part, on traffic speed data for each of the one or more road segments. A total travel time is then calculated for the route, the total travel time including a predicted travel time for each of the one or more road segments.

Claims (20)

1. A system for predicting a travel time for a traffic route, comprising:

at least one data source that provides current data relating to traffic conditions for a plurality of road segments during a particular time interval;

at least one data source that provides past data relating to traffic conditions for the plurality of road segments during the particular time interval; and

a processor to execute instructions stored in memory to:

receive the current data and the past data from the data sources for the plurality of road segments during the particular time interval;

associate the current data and the past data relating to traffic conditions for the plurality of road segments during the particular time interval,

generate a combined data relating to traffic conditions for the plurality of road segments during the particular time interval, wherein the generation is based on the association of the current data and the past data,

determine a predicted travel time for a first travel route formed by the plurality of road segments between a departure location and an arrival location, wherein the predicted travel time is based on the combined data for the plurality of road segments for the particular time interval and any non-traffic event data that influences traffic conditions, and wherein the non-traffic event data is provided by at least one data source,

generate a first departure time based on the predicted travel times for the plurality of road segments, the first departure time corresponding to a user inputted preferred arrival time,

receive secondary current data relating to traffic conditions from at least one data source, the secondary current data differing from the current data previously received,

update the predicted travel time for the plurality of road segments based on the recently received secondary current data,

generate a second departure time, the second departure time updates the first departure time based on the updated predicted travel time; and

alert a user of the second departure time, wherein the second departure time facilitates the user arriving at the arrival location by the user inputted preferred arrival time.

2. The system of claim 1 , wherein the non-traffic event data includes current weather conditions for the plurality of road segments at the particular time interval.

3. The system of claim 2 , wherein the non-traffic event data includes forecasts on weather conditions for the plurality of road segments at the particular time interval.

4. The system of claim 1 , wherein the secondary current data includes current weather conditions for the plurality of road segments at the particular time interval.

5. The system of claim 1 , wherein the processor further executes instructions to select a second travel route formed by the plurality of road segments between the departure location and an arrival location, the second travel route having a faster predicted travel time than the first travel route.

6. The system of claim 5 , wherein the selection of the second travel route is based on a difference between the first departure time and the second departure time exceeding a user-defined threshold.

7. The system of claim 5 , wherein the processor further executes instructions to alert the user of the selected second travel route.

8. The system of claim 7 , wherein the alert includes illustrating the second travel route on a map for the user to view.

Assignments (9)
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 050767/0109 →
SECURITY INTEREST Recorded Oct 18, 2019
From: UBER TECHNOLOGIES, INC.
To: MORGAN STANLEY SENIOR FUNDING, INC., AS ADMINISTRATIVE AGENT
Reel/Frame 050767/0076 →
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 Jan 31, 2018
From: MUDDY RIVER, SERIES 97 OF ALLIED SECURITY TRUST I
To: UBER TECHNOLOGIES, INC.
Reel/Frame 045204/0800 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jan 23, 2017
From: PELMOREX CANADA, INC.
To: MUDDY RIVER, SERIES 97 OF ALLIED SECURITY TRUST I
Reel/Frame 041069/0953 →