System and method for analyzing vehicular behavior in a network environment

• US 8,903,593 B1
• Filed: 05/27/2011
• Issued: 12/02/2014
• Est. Priority Date: 01/14/2011
• Status: Expired due to Fees

• Current Assignee: Cisco Technology, Inc. (Cisco Systems, Inc.)
• Original Assignee: Cisco Technology, Inc. (Cisco Systems, Inc.)
• Inventors: Addepalli, Sateesh K., Dai, Lillian Lei, Moghe, Ashok K., Bonomi, Flavio, Milito, Rodolfo A., Ermagan, Vina, Maino, Fabio R., Monclus, Pere
• Primary Examiner(s): Holloway, Jason
• Assistant Examiner(s): Bendidi, Rachid
• Application Number:
  US13/117,860
• Time in Patent Office: 1,285 Days
• Field of Search: 701/1, 701/29, 701/30, 701/33, 701/35, 701/36, 701/29.1, 701/29.3, 701/114, 701/115
• US Class Current: 701/29.1
• CPC Class Codes: B60R 16/023 for transmission of signals between vehicle parts or subsystems
• CPC Class Codes: B60W 50/10 Interpretation of driver requests or demands
• CPC Class Codes: G06F 21/45 Structures or tools for the administration of authentication
• CPC Class Codes: G06F 3/017 Gesture based interaction, e.g. based on a set of recognized hand gestures interaction based on gestures traced on a digitiser G06F3/04883
• CPC Class Codes: G06F 3/167 Audio in a user interface, e.g. using voice commands for navigating, audio feedback
• CPC Class Codes: G06F 9/542 Event management; Broadcasting; Multicasting; Notifications
• CPC Class Codes: H04L 1/008 where the control data relates to payload of a different packet
• CPC Class Codes: H04L 43/0811 by checking connectivity
• CPC Class Codes: H04L 43/0858 One way delays
• CPC Class Codes: H04L 43/0876 Network utilisation, e.g. volume of load or congestion level
• CPC Class Codes: H04L 45/12 Shortest path evaluation
• CPC Class Codes: H04L 51/02 using automatic reactions or user delegation, e.g. automatic replies or chatbot-generated messages
• CPC Class Codes: H04L 61/2592 using tunnelling or encapsulation
• CPC Class Codes: H04L 63/0227 Filtering policies mail message filtering H04L51/212
• CPC Class Codes: H04L 67/12 specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
• CPC Class Codes: H04L 67/60 Scheduling or organising the servicing of application requests, e.g. requests for application data transmissions using the analysis and optimisation of the required network resources admission control or resource allocation H04L47/70
• CPC Class Codes: H04L 69/18 Multiprotocol handlers, e.g. single devices capable of handling multiple protocols
• CPC Class Codes: H04Q 9/00 Arrangements in telecontrol or telemetry systems for selectively calling a substation from a main station, in which substation desired apparatus is selected for applying a control signal thereto or for obtaining measured values therefrom
• CPC Class Codes: H04W 12/03 Protecting confidentiality, e.g. by encryption
• CPC Class Codes: H04W 28/0215 based on user or device properties, e.g. MTC-capable devices services for machine-to-machine communication [M2M] or machine type communication [MTC] H04W4/70; wireless resource selection or allocation plan definition based on terminal or device properties H04W72/51
• CPC Class Codes: H04W 28/06 : Optimizing the usage of the radio link, e.g. header compression, information sizing , discarding information system modifying transmission characteristic according to link quality by modifying frame length H04L1/0007; dynamic adaptation of the packet size for flow control or congestion control H04L47/365
• CPC Class Codes: H04W 36/0009 : for a plurality of users or terminals, e.g. group communication or moving wireless networks user group management H04W4/08; processing of subscriber group data H04W8/186
• CPC Class Codes: H04W 36/08 : Reselecting an access point
• CPC Class Codes: H04W 4/00 : Services specially adapted for wireless communication networks; Facilities therefor
• CPC Class Codes: H04W 4/10 : Push-to-Talk [PTT] or Push-On-Call services
• CPC Class Codes: H04W 4/40 : for vehicles, e.g. vehicle-to-pedestrians [V2P]
• CPC Class Codes: H04W 40/02 : Communication route or path selection, e.g. power-based or shortest path routing
• CPC Class Codes: H04W 40/20 : based on geographic position or location
• CPC Class Codes: H04W 48/02 : Access restriction performed under specific conditions
• CPC Class Codes: H04W 48/06 : based on traffic conditions
• CPC Class Codes: H04W 48/16 : Discovering, processing access restriction or access information
• CPC Class Codes: H04W 48/18 : Selecting a network or a communication service
• CPC Class Codes: H04W 52/0206 : in access points, e.g. base stations access point devices per se H04W88/08
• CPC Class Codes: H04W 52/0219 : where the power saving management affects multiple terminals
• CPC Class Codes: H04W 52/0264 : by selectively disabling software applications
• CPC Class Codes: H04W 52/12 : Outer and inner loops
• CPC Class Codes: H04W 52/143 : Downlink power control
• CPC Class Codes: H04W 52/225 : Calculation of statistics, e.g. average, variance
• CPC Class Codes: H04W 52/241 : taking into account channel quality metrics, e.g. SIR, SNR, CIR, Eb/lo
• CPC Class Codes: H04W 52/346 : distributing total power among users or channels
• CPC Class Codes: H04W 72/20 : Control channels or signalling for resource management
• CPC Class Codes: H04W 72/23 : in the downlink direction of a wireless link, i.e. towards a terminal
• CPC Class Codes: H04W 72/53 : based on regulatory allocation policies
• CPC Class Codes: H04W 76/45 : for Push-to-Talk [PTT] or Push-to-Talk over cellular [PoC] services
• CPC Class Codes: H04W 8/06 : Registration at serving network Location Register, VLR or user mobility server
• CPC Class Codes: H04W 8/08 : Mobility data transfer
• CPC Class Codes: H04W 8/26 : Network addressing or numbering for mobility support
• CPC Class Codes: H04W 80/02 : Data link layer protocols
• CPC Class Codes: H04W 84/005 : Moving wireless networks
• CPC Class Codes: H04W 84/12 : WLAN [Wireless Local Area Networks]
• CPC Class Codes: H04W 92/18 : between terminal devices
• CPC Class Codes: Y02A 30/60 : Planning or developing urban green infrastructure
• CPC Class Codes: Y02D 30/70 : in wireless communication networks

Abstract

A method in one example embodiment includes receiving a set of data in real time from a plurality of machine devices associated with at least one vehicle, providing a set of reference data corresponding to a machine device of the plurality of machine devices, comparing the set of data with the set of reference data, and detecting a deviation within the set of data from the set of reference data. The method further includes initiating an operation associated with the deviation. The set of reference data could be a trend of previous data received from the machine device or a common trend based on a previous set of data of the machine device. More specific embodiments include receiving a plurality of data containing the set of data from the plurality of machine devices and identifying a state of the machine device using the set of data.

Claims

1. A method executed by an on-board unit of a vehicle, comprising:

receiving a set of data in real time from a plurality of machine devices associated with a vehicle, wherein the plurality of machine devices includes at least a first machine device monitoring changes in vehicle control system information of the vehicle, at least a second machine device monitoring changes in physiological signals of a driver of the vehicle, and at least a third machine device monitoring changes in events or objects surrounding the vehicle;

providing a policy with a set of rules;

comparing the set of data with the policy;

providing a set of reference data corresponding to a machine device of the plurality of machine devices, wherein the set of reference data includes a trend of previous data received from the machine device;

comparing the set of data with the set of reference data, wherein a determination of whether the set of data deviates from the trend of previous data is based, at least in part, on a profile of a current driver of the vehicle; and

initiating an operation when at least one of a violation of the policy and a deviation within the set of data from the set of reference data is detected.

2. The method of claim 1, wherein the set of reference data further includes a common trend based on data from other machine devices of other vehicles similar to the machine device.

3. The method of claim 1, wherein the policy is based on one or more population averages.

4. The method of claim 1, wherein the deviation is within a range, and wherein the operation comprises:

adjusting the reference set of data based on the set of data to form a new reference set of data.

5. The method of claim 1, further comprising:

receiving a plurality of data from the plurality of machine devices, wherein the set of data is in the plurality of data; and

identifying a state of the machine device using the set of data, wherein the state is based on a behavior associated with the machine device.

6. The method of claim 5, wherein the step of identifying the state from the machine device using the set of data further comprises:

determining whether the set of data has occurred greater than a threshold number of times; and

identifying the state from the machine device using the set of data if the set of data has occurred greater than the threshold number of times.

7. The method of claim 5, wherein the step of identifying the state from the machine device using the set of data further comprises:

determining whether the set of data represents an undesirable behavior in a machine device of the plurality of machine devices;

mitigating the undesirable behavior if the set of data represents an undesirable behavior in the machine device of the plurality of machine devices; and

identifying the state from the machine device using the set of data if the set of data does not represent undesirable behavior in the machine device of the plurality of machine devices.

8. The method of claim 5, further comprising:

transmitting the state of the machine device of the plurality of machine devices to other vehicles.

9. The method of claim 5, further comprising:

determining whether the state is undesirable; and

mitigating the state if the state is determined to be undesirable.

10. The method of claim 9, wherein mitigating the state may comprise at least one of sending an alert to an entity, shutting down the machine device responsible for the state, and initiating a corrective action.

11. The method of claim 1, wherein the profile includes physiological information associated with the current driver.

12. Logic encoded in non-transitory media that includes code for execution and when executed by a processor is operable to perform operations comprising:

receiving a set of data in real time from a plurality of machine devices associated with a vehicle, wherein the plurality of machine devices includes at least a first machine device monitoring changes in vehicle control system information of the vehicle, at least a second machine device monitoring changes in physiological signals of a driver of the vehicle, and at least a third machine device monitoring changes in events or objects surrounding the vehicle;

providing a policy with a set of rules;

comparing the set of data with the policy;

providing a set of reference data corresponding to a machine device of the plurality of machine devices, wherein the set of reference data includes a trend of previous data received from the machine device;

comparing the set of data with the set of reference data, wherein a determination of whether the set of data deviates from the trend of previous data is based, at least in part, on a profile of a current driver of the vehicle; and

initiating an operation when at least one of a violation of the policy and a deviation within the set of data from the set of reference data is detected.

13. The logic of claim 12, wherein the trend of previous data is based on the current driver.

14. The logic of claim 12, wherein the determination of whether the set of data deviates from the trend of previous data is based, at least in part, on current driving conditions.

15. The logic of claim 12, wherein the set of rules of the policy includes specific elements of a standard applied to one or more machine devices, wherein a violation of one or more of the rules by a particular machine device does not indicate the particular machine device is malfunctioning.

16. An apparatus, comprising:

a memory element configured to store data;

a behavior engine module; and

a processor operable to execute instructions associated with the data, wherein the processor, the memory element, and the behavior engine module cooperate such that the apparatus is configured for;

receiving a set of data in real time from a plurality of machine devices associated with a vehicle, wherein the plurality of machine devices includes at least a first machine device monitoring changes in vehicle control system information of the vehicle, at least a second machine device monitoring changes in physiological signals of a driver of the vehicle, and at least a third machine device monitoring changes in events or objects surrounding the vehicle;

providing a policy with a set of rules;

comparing the set of data with the policy;

providing a set of reference data corresponding to a machine device of the plurality of machine devices, wherein the set of reference data includes a trend of previous data received from the machine device;

comparing the set of data with the set of reference data, wherein a determination of whether the set of data deviates from the trend of previous data is based, at least in part, on a profile of a current driver of the vehicle; and

initiating an operation when at least one of a violation of the policy and a deviation within the set of data from the set of reference data is detected.

17. The apparatus of claim 16, wherein the apparatus is an on-board unit of a vehicle.

18. A method executed by processor, comprising:

receiving a plurality of behavior states associated with a plurality of machine devices in a plurality of vehicles, wherein the plurality of machine devices includes first machine devices monitoring changes in vehicle control system information of the plurality of vehicles, second machine devices monitoring changes in physiological signals of drivers of the plurality of vehicles, and third machine devices monitoring changes in events or objects surrounding the plurality of vehicles;

monitoring the plurality of behavior states;

identifying abnormal behavior of machine device based on a corresponding behavior state in the plurality of behavior states;

determining the abnormal behavior indicates a manufacturing defect of the machine device when the abnormal behavior exists in greater than a threshold number of vehicles of the plurality of vehicles having a same type and model; and

initiating an operation when the abnormal behavior exists in greater than the threshold number of vehicles having a same type and model, wherein at least some behavior states are built by observing interactions between at least two machine devices of a vehicle at runtime, wherein the at least two machine devices are connected across bus subsystems of the vehicle.

19. The method of claim 18, wherein the operation is at least one of alerting a manufacturer of a defect in the machine device associated with the abnormal behavior, alerting all drivers of vehicles with the machine devices associated with the abnormal behavior of the abnormal behavior, and alerting safety authorities of the abnormal behavior.

20. The method of claim 19, further comprising:

alerting a driver of the vehicle with the machine device associated with the abnormal behavior of the abnormal behavior if the abnormal behavior exists in less than the threshold number of vehicles of the plurality of vehicles.

21. The method of claim 18, wherein at least one other behaviour state is built by correlating interactions between a plurality of machine devices of a particular vehicle at runtime.

22. The method of claim 18, further comprising:

receiving a behavior state from a vehicle of the plurality of vehicles; and

sending the behavior state to other vehicles in the plurality of vehicles with similar machine devices.