Adaptive road management in the network of moving things

• US 10,319,224 B2
• Filed: 05/04/2017
• Issued: 06/11/2019
• Est. Priority Date: 08/19/2016
• Status: Active Grant

• Current Assignee: Veniam Inc.
• Original Assignee: Veniam Inc.
• Inventors: de Azevedo, Joao Pedro Coelho, Neves, Filipe Manuel Almeida, Costa, Rui Miguel Correia e
• Primary Examiner(s): Feild, Joseph H
• Assistant Examiner(s): Point, Rufus C
• Application Number:
  US15/586,924
• Publication Number:
  US 20180053405A1
• Time in Patent Office: 768 Days
• CPC Class Codes: G08G 1/005 including pedestrian guidance indicator
• CPC Class Codes: G08G 1/0112 from the vehicle, e.g. floating car data [FCD]
• CPC Class Codes: G08G 1/0129 for creating historical data or processing based on historical data
• CPC Class Codes: G08G 1/0133 for classifying traffic situation
• CPC Class Codes: G08G 1/0141 for traffic information dissemination
• CPC Class Codes: G08G 1/096775 where the origin of the information is a central station
• CPC Class Codes: G08G 1/123 indicating the position of vehicles, e.g. scheduled vehicles; Managing passenger vehicles circulating according to a fixed timetable, e.g. buses, trains, tramstransmission of navigation instructions to vehicles G08G1/0968
• CPC Class Codes: G08G 1/20 Monitoring the location of vehicles belonging to a group, e.g. fleet of vehicles, countable or determined number of vehicles
• CPC Class Codes: H04W 36/03 Reselecting a link using a direct mode connection
• CPC Class Codes: H04W 36/035 in self-organising networks
• CPC Class Codes: H04W 4/029 Location-based management or tracking services
• CPC Class Codes: H04W 4/40 for vehicles, e.g. vehicle-to-pedestrians [V2P]
• CPC Class Codes: H04W 4/80 Services using short range communication, e.g. near-field communication [NFC], radio-frequency identification [RFID] or low energy communication
• CPC Class Codes: H04W 84/005 Moving wireless networks

Abstract

Methods and systems are provided for adaptive road management in a communication network comprising a complex array of both static and moving communication nodes (e.g., a network of moving things, which may be a vehicle network, a network of or including autonomous vehicles, etc.).

Claims

1. A method comprising:

in an access point operating within a vehicle communication network comprising one or more mobile access points (MAPs) and one or more fixed access points (FAPs), wherein the access point comprises at least one processing circuit;

obtaining reporting data relating to roads within a coverage area of said vehicle communication network and/or to traffic on said roads;

processing said reporting data, wherein said processing comprises validating said reporting data, said validating comprising;

comparing reporting data obtained from two or more different ones of said one or more mobile access points (MAPs); and

comparing reporting data obtained from at least one of said one or more mobile access points (MAPs) with prior data obtained by said at least one of said one or more mobile access points (MAPs); and

providing based on said processing, road management in said vehicle communication network, wherein said road management comprises one or more of;

determining presence of one or more conditions and/or events affecting said roads and/or said traffic on said roads;

generating information relating to said roads and/or said traffic on said roads; and

performing one or more actions relating to said roads and/or said traffic on said roads.

2. The method of claim 1, wherein processing said reporting data comprises validating said reporting data.

3. The method of claim 2, wherein said validating comprises checking to confirm consistent information is reported, for a particular condition or a particular event affecting said roads and/or said traffic on said roads, from the two or more different sources.

4. The method of claim 1, wherein processing said reporting data comprises detecting and/or updating one or more vehicle patterns.

5. The method of claim 4, wherein each one of said one or more vehicle patterns is characterized based on one or more of:

vehicle movement related data, one or more particular driving traffic events or conditions, one or more particular road conditions, one or more particular timing criteria, and one or more climatic conditions.

6. The method of claim 1, wherein said one or more actions comprise:

generating notifications and/or alarms relating to existing conditions or events;

generating predictive notifications relating to potential conditions or events predicted to impact particular vehicles or vehicle operators;

generating feedback tailored for one or more particular recipients; and

providing one or more generated notification, alarms, or feedback to one or more vehicle operators and/or third party users.

7. The method of claim 1, wherein said reporting data comprises one or more of:

information relating to conditions and/or events affecting said roads and/or said traffic on said roads;

location related information associated with said one or more mobile access points (MAPs) and/or one or more vehicles operating on said roads;

movement related information associated with said one or more mobile access points (MAPs) and/or said one or more vehicles;

sensory information relating to said one or more mobile access points (MAPs) and/or said one or more vehicles;

sensory information relating to said roads and/or traffic on said roads; and

user input or feedback.

8. The method of claim 1, comprising obtaining said reporting data from one or more of:

said one or more mobile access points (MAPs);

said one or more fixed access points (FAPs);

one or more vehicles operating on said roads;

one or more user devices used in said vehicle communication network; and

one or more sensory devices within said one or more vehicles, within said one or more mobile access devices (MAPs), and/or as stand-alone devices in proximity to said roads.

9. A non-transitory machine-readable storage stored thereon a computer program comprising at least one code section comprising a plurality of instructions executable by a machine within a vehicle, the machine comprising at least one processor, to cause the machine to provide road management in a vehicle communication network comprising one or more mobile access points (MAPs) and one or more fixed access points (FAPs), by performing a plurality of steps comprising:

obtaining reporting data relating to roads within a coverage area of said vehicle communication network and/or to traffic on said roads;

processing said reporting data, wherein said processing comprises validating said reporting data, said validating comprising;

comparing reporting data obtained from two or more different ones of said one or more mobile access points (MAPs); and

comparing reporting data obtained from at least one of said one or more mobile access points (MAPs) with prior data obtained by said at least one of said one or more mobile access points (MAPs); and

providing based on said processing, road management in said vehicle communication network, wherein said road management comprises one or more of;

determining presence of one or more conditions and/or events affecting said roads and/or said traffic on said roads;

generating information relating to said roads and/or said traffic on said roads; and

performing one or more actions relating to said roads and/or said traffic on said roads.

10. The non-transitory machine-readable storage of claim 9, wherein said processing said reporting data comprises validating said reporting data.

11. The non-transitory machine-readable storage of claim 10, wherein said validating comprises checking to confirm consistent information is reported, for a particular condition or a particular event affecting said roads and/or said traffic on said roads, from the two or more different sources.

12. The non-transitory machine-readable storage of claim 9, wherein said processing said reporting data comprises detecting and/or updating one or more vehicle patterns.

13. The non-transitory machine-readable storage of claim 12, wherein each one of said one or more vehicle patterns is characterized based on one or more of:

vehicle movement related data, one or more particular driving traffic events or conditions, one or more particular road conditions, one or more particular timing criteria, and one or more climatic conditions.

14. The non-transitory machine-readable storage of claim 9, wherein said one or more actions comprise:

generating notifications and/or alarms relating to existing conditions or events;

generating predictive notifications relating to potential conditions or events predicted to impact particular vehicles or vehicle operators;

generating feedback tailored for one or more particular recipients; and

providing one or more generated notification, alarms, or feedback to one or more vehicle operators and/or third party users.

15. The non-transitory machine-readable storage of claim 9, wherein said reporting data comprises one or more of:

information relating to conditions and/or events affecting said roads and/or said traffic on said roads;

location related information associated with said one or more mobile access points (MAPs) and/or one or more vehicles operating on said roads;

movement related information associated with said one or more mobile access points (MAPs) and/or said one or more vehicles;

sensory information relating to said one or more mobile access points (MAPs) and/or said one or more vehicles;

sensory information relating to said roads and/or traffic on said roads; and

user input or feedback.

16. The non-transitory machine-readable storage of claim 9, wherein said plurality of steps further comprising obtaining said reporting data from one or more of:

said one or more mobile access points (MAPs);

said one or more fixed access points (FAPs);

one or more vehicles operating on said roads;

one or more user devices used in said vehicle communication network; and

one or more sensory devices within said one or more vehicles, within said one or more mobile access devices (MAPs), and/or as stand-alone devices in proximity to said roads.

17. A system configured for implementing road management scheme in a vehicle communication network comprising one or more mobile access points (MAPs) and one or more fixed access points (FAPs), the system comprising:

one or more communication circuits configured for communication of signals for transmission and reception of data; and

at least one processing circuit;

wherein;

said one or more communication circuits are operable to receive reporting data relating to roads within a coverage area of said vehicle communication network and/or to traffic on said roads; and

said at least one processing circuit is operable to;

process said reporting data, wherein said processing comprises validating said reporting data, said validating comprising;

comparing reporting data obtained from two or more different ones of said one or more mobile access points (MAPs); and

comparing reporting data obtained from at least one of said one or more mobile access points (MAPs) with prior data obtained by said at least one of said one or more mobile access points (MAPs); and

based on said processing, perform one or more of;

determining presence of one or more conditions and/or events affecting said roads and/or said traffic on said roads;

generating information relating to said roads and/or said traffic on said roads; and

performing one or more actions relating to said roads and/or said traffic on said roads.

18. The system of claim 17, wherein said at least one processing circuit is operable to validate said reporting data.

19. The system of claim 18, wherein said validating comprises checking to confirm consistent information is reported, for a particular condition or a particular event affecting said roads and/or said traffic on said roads, from the two or more different sources.

20. The system of claim 17, wherein said at least one processing circuit is operable to detect and/or update one or more vehicle patterns.

21. The system of claim 20, wherein each one of said one or more vehicle patterns is characterized based on one or more of:

vehicle movement related data, one or more particular driving traffic events or conditions, one or more particular road conditions, one or more particular timing criteria, and one or more climatic conditions.

22. The system of claim 17, wherein said one or more actions comprise:

generating notifications and/or alarms relating to existing conditions or events;

generating predictive notifications relating to potential conditions or events predicted to impact particular vehicles or vehicle operators;

generating feedback tailored for one or more particular recipients; and

providing one or more generated notification, alarms, or feedback to one or more vehicle operators and/or third party users.

23. The system of claim 17, wherein said reporting data comprises one or more of:

information relating to conditions and/or events affecting said roads and/or said traffic on said roads;

location related information associated with said one or more mobile access points (MAPs) and/or one or more vehicles operating on said roads;

movement related information associated with said one or more mobile access points (MAPs) and/or said one or more vehicles;

sensory information relating to said one or more mobile access points (MAPs) and/or said one or more vehicles;

sensory information relating to said roads and/or traffic on said roads; and

user input or feedback.

24. The system of claim 17, said one or more communication circuits are operable to receive said reporting data from one or more of:

said one or more mobile access points (MAPs);

said one or more fixed access points (FAPs);

one or more vehicles operating on said roads;

one or more user devices used in said vehicle communication network; and

one or more sensory devices within said one or more vehicles, within said one or more mobile access devices (MAPs), and/or as stand-alone devices in proximity to said roads.