METHODS AND SYSTEMS FOR FLEET MANAGEMENT

• US 20160358129A1
• Filed: 08/16/2016
• Published: 12/08/2016
• Est. Priority Date: 01/28/2015
• Status: Abandoned Application

• Current Assignee: Mtct Group LLC
• Original Assignee: Mtct Group LLC
• Inventors: Walton, Mark Adam, Johnson, Eugene Thomas
• Application Number:
  US15/237,732
• Publication Number:
  US 20160358129A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06Q 10/04 Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem" market predictions or forecasting for commercial activities G06Q30/0202
• CPC Class Codes: G06Q 10/0833 Tracking
• CPC Class Codes: G06Q 10/087 Inventory or stock management, e.g. order filling, procurement or balancing against orders
• CPC Class Codes: G06Q 10/20 Administration of product repair or maintenance
• CPC Class Codes: G06Q 40/08 Insurance
• CPC Class Codes: G07C 2205/02 using a vehicle scan tool
• CPC Class Codes: G07C 5/008 communicating information to a remotely located station transmission systems for measured values G08C
• CPC Class Codes: G07C 5/02 Registering or indicating driving, working, idle, or waiting time only apparatus forming part of taximeters G07B13/00
• CPC Class Codes: G07C 5/08 Registering or indicating performance data other than driving, working, idle, or waiting time, with or without registering driving, working, idle or waiting time
• CPC Class Codes: G07C 5/0808 Diagnosing performance data testing of vehicles G01M17/00; testing of electrical installation on vehicles G01R31/005
• CPC Class Codes: G07C 5/0841 Registering performance data recording measured values G01D; information storage G11B
• 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: G08G 1/205 Indicating the location of the monitored vehicles as destination, e.g. accidents, stolen, rental

Abstract

Methods and systems are disclosed for analyzing, predicting, and processing an accident. One embodiment for analyzing includes identifying a type of the accident based on evidence, wherein the identifying comprises by an accident tracker app loaded on a device and optionally a fleet management system, wherein the accident tracker app and the fleet management system are in network connection and associated with logic, processors, and data storage. The methods and systems may include enabling logic for assessing, by the accident tracker app, the fleet management system, or combination thereof, severity of the accident based on the evidence related to the accident. Further, the methods and systems may include enabling logic for comparing, by the accident tracker app, the fleet management system, or combination thereof, the evidence for the accident, and for determining, by the accident tracker app, the fleet management system, or combination thereof, a disposition for the accident.

Claims

1. A system for analyzing an accident, the system comprising:

an accident tracker app loaded on a device, a fleet management system, or combination thereof is in network communication and associated with logic, memory, processors, and data storage, wherein the accident tracker app, the fleet management system, or combination thereof are configured to;

identify, based on evidence, a type of the accident;

assess, based on the evidence related to the accident, severity of the accident;

compare the evidence for the accident; and

determine a disposition for the accident.

2. The system of claim 1, wherein to identify and assess the evidence comprises to read gauges, sensors, airbag deployment, instrumentation, vital signs, orientation, location, impact, velocity, speed, global positioning system data, orientation, location, impact forces and angles, g-force, acceleration, deceleration, temperature, user-input, other readable measurement or combinations thereof.

3. The system of claim 1, wherein to identify and assess the evidence comprises to receive data from a person, third party system, another device or combination thereof that is read, input or extracted, automatically or manually.

4. The system of claim 1, wherein to assess further comprises being configured to calculate any anticipated costs, downtime, or combinations thereof for the accident.

5. The system of claim 1, wherein the type comprises personal, bodily injury, property vehicular, boat-like, aviatorial, mechanical, chemical, electrical, hydraulic, pneumatic, other type, or combinations thereof.

6. The system of claim 1, wherein the device comprises a mobile phone, a smart phone, a personal digital assistant, a computer, a laptop, a tablet, watch, wearable device, implantable device, other device, or combinations thereof.

7. The system of claim 1, wherein the accident tracker app, the fleet management system, or combinations thereof comprises one or more platforms, wherein the logic optionally further comprises cross-platform logic.

8. The system of claim 1, wherein the processors comprise administrator processors, dispatcher processors, vehicle management processors, and accident tracker processors.

9. The system of claim 1, wherein the accident tracker app, the fleet management system, or combination thereof is further configured to gather the evidence from one or more sources in network connection therewith, wherein the evidence comprises data, measurements, known variables, deduced variables, calculated data or combinations thereof related to the accident.

10. The system of claim 1, wherein the accident tracker app, the fleet management system, or combination thereof is further configured to assign fault for the accident.

11. The system of claim 1, wherein to determine the disposition comprises determining a score of a driver associated with the accident based on the evidence, wherein the evidence comprises weather conditions, mechanical fitness of type of fleet operated, time and day, traffic conditions, the severity of the accident, the driver'"'"'s motor-vehicle records, the driver'"'"'s history of accidents, the driver'"'"'s service-hour-violation frequency, the driver'"'"'s roadside-inspection-violation frequency, officer-mandated out-of-service frequency for the driver, the driver'"'"'s familiarity with a kind of fleet operated, the driver'"'"'s vital signs, the driver'"'"'s drug content, the driver'"'"'s general health, frequency of right turns versus left turns, probability of right turns versus left turns, frequency of direction of travel, probability of direction of travel, frequency of direction of driving into the sun, road conditions, the driver'"'"'s driving behavior, data, measurements, known variables, deduced variables, calculated data or combinations thereof.

12. The system of claim 1, wherein to determine the disposition comprises determining a score of a company associated with a driver of the accident based on the evidence, wherein the evidence comprises weather conditions, mechanical fitness of type of fleet operated, time and day, traffic conditions, the severity of the accident, the company'"'"'s drivers'"'"' motor-vehicle records, the company'"'"'s drivers'"'"' history of accidents, the company'"'"'s drivers'"'"' service-hour-violation frequency, the company'"'"'s drivers'"'"' roadside-inspection-violation frequency, officer-mandated out-of-service frequency for the company'"'"'s drivers, the company'"'"'s drivers'"'"' familiarity with a kind of fleet operated, the company'"'"'s drivers'"'"' vital signs, the company'"'"'s drivers'"'"' drug content, the company'"'"'s drivers'"'"' general health, data, measurements, known variables, deduced variables, calculated data or combinations thereof.

13. The system of claim 1, wherein to determine the disposition comprises to determine a degree of fault for each person, property, or both involved in the accident.

14. The system of claim 1, wherein the accident tracker app, the fleet management system, or combination thereof is further configured to locate, optionally based on communications with a global positioning system, at least one member from a group comprising a drug testing facility, hospital, mechanic'"'"'s garage, tower, salvage yard, emergency responder'"'"'s station, doctor'"'"'s office, dentist'"'"'s office, licensing office, gas station, insurance agency, service provider, or other agency, office, building, or facility.

15. The system of claim 14, wherein the accident tracker app, the fleet management system, or combination thereof is further configured to select the at least one member in the group based on cost, distance, location, price, preferred contractor, contractual terms, time, turnaround time, aptitude, reputation, recommendations, ratings, other parameters, or combinations thereof.

16. The system of claim 14, wherein the accident tracker app, the fleet management system, or combination thereof is further configured to instruct a person associated with the accident to drive to, communicate with, undertake an action at, or combination thereof, a location associated with the at least one member.

17. The system of claim 16, wherein the accident tracker app, the fleet management system, or combination thereof is further configured to alert that the device is not within a configurably defined parameter aligning with performance of the action.

18. The system of claim 16, wherein to instruct comprises to instruct one or more members from a group comprising to:

go to a drug testing facility, go to a hospital, go to a mechanic'"'"'s garage, go to or call a tower, go to a salvage yard, go to an emergency responder'"'"'s station, go to a doctor'"'"'s office, go to a dentist'"'"'s office, go to a licensing office, go to an insurance agency, go to an agency, office, building, facility, answer one or more questions, assess damage, attend a class, provide audiovisual information, acknowledge receipt of a disciplinary message, sign-off on the disciplinary message, take a test, unload or re-distribute cargo, travel by a different route to a destination, follow any other type of instructions, or combinations thereof.

19. The system of claim 18, wherein the accident tracker app, the fleet management system, or combination thereof is further configured to monitor and track performance of the instructions.

20. The system of claim 1, wherein the accident tracker app, the fleet management system, or combination thereof is further configured to route to, communicate with, or combination thereof, at least a portion of the evidence, information, or combination thereof, at least one member of a group comprising a drug testing facility, a hospital, a garage, a tower, an emergency responder'"'"'s station, a doctor'"'"'s office, a dentist'"'"'s office, a licensing office, an insurance agency, or other agency, office, building, or facility, authority, governing body or combinations thereof.

21. The system of claim 20, wherein the accident tracker app, the fleet management system, or combination thereof is further configured to process insurance or medical claims for the accident for the at least one member of the group.

22. The system of claim 21, wherein the accident tracker app, the fleet management system, or combination thereof is further configured to monitor and track processing of the insurance or medical claims.

23. The system of claim 1, wherein the accident tracker app, the fleet management system, or combination thereof is further configured to provide mapping directions, estimated times of arrival, instructions for re-routing, re-loading, unloading or combinations thereof, or any combination thereof, to the device, the fleet management system, an agency, an office, a building, a facility, a shipper, a receiver, a mechanic, a broker, or combinations thereof in network communication therewith.

24. The system of claim 1, wherein the accident tracker app, the fleet management system, or combination thereof is further configured to generate and optionally provide reports to a hospital, a mechanic'"'"'s garage, a tower, a salvage yard, an emergency responder'"'"'s station, a doctor'"'"'s office, a dentist'"'"'s office, a licensing office, an insurance agency, an agency, office, building, facility, or combinations thereof.

25. The system of claim 1, wherein the accident tracker app, the fleet management system, or combination thereof is further configured to predict probability for re-occurrence of the accident based on a person in the accident, the type of the accident, the evidence, known variables, any other variables, or combinations thereof.

26. The system of claim 1, wherein the accident tracker app, the fleet management system, or combination thereof is further configured to cull the evidence.

27. The system of claim 1, wherein the accident tracker app, the fleet management system, or combination thereof is further configured to schedule, automatically or manually, an appointment with a third-party service provider.

28. The system of claim 1, wherein the accident tracker app, the fleet management system, or combination thereof is further configured to create, automatically or manually and based on or for a third-party service provider, a work order, prescription, referral, appointment, or reminder.

29. The system of claim 1, wherein the accident tracker app, the fleet management system, or combination thereof is further configured to scan, gather, assess, compare, store, cull, route, report, or combinations thereof, the evidence at an interval within a period.

30. The system of claim 29, wherein the interval within the period is six, seven, or eight times a day.

31. The system of claim 29, wherein the interval is fixed or variable and the period is fixed or variable.

32. The system of claim 29, wherein the interval, the period, or combination is defaulted or configurable.

33. The system of claim 1, wherein the at least a portion of the evidence to a third-party service provider in communication.

34. A system for predicting a probability of an accident, the system comprising:

an accident tracker app loaded on a device, a fleet management system, or combination thereof is in network communication and associated with logic, memory, processors, and data storage, wherein the accident tracker app, the fleet management system, or combination thereof are configured to;

identify, based on evidence, a type of the accident;

gather the evidence related to the accident from the one or more resources; and

determine, based on the evidence, the probability of the accident, wherein the evidence comprises weather conditions, mechanical fitness of type of fleet operated, time and day, traffic conditions, traffic patterns, severity, cost, downtime, the type, associated person(s), driving records, driving score of any driver in the accident, data, measurements, road conditions, microclimates, probability of right turns versus left turns, probability of direction of travel, frequency of direction of driving into the sun known variables, deduced variables, calculated data or combinations thereof.

35. The system of claim 34, wherein the accident tracker app, the fleet management system, or combination thereof is further configured to calculate the driving score.

36. The system of claim 34, wherein the accident tracker app, the fleet management system, or combination thereof is further configured to iterate any portions of the system to update the probability.

37. A system for processing data, the system comprising:

an accident tracker app loaded on a device, a fleet management system, or combination thereof is in network communication and associated with logic, memory, processors, and data storage, wherein the accident tracker app, the fleet management system, or combination thereof is configured to;

read data, wherein the data comprises documents, files, data points, or other information;

gather, based on identified subject matter, at least a portion of the data, wherein the identified subject matter comprises a person, entity, vehicle, location, event, words, or combinations thereof within a period; and

route at least a portion of the at least a portion of the data to a destination.

38. The system of claim 37, wherein the accident tracker app, the fleet management system, or combination thereof is further configured to upload the data.

39. The system of claim 37, wherein the interval within the period is six, seven or eight times a day.

40. The system of claim 37, wherein the interval is fixed or variable and time period is fixed or variable.

41. The system of claim 37, wherein the interval, the period, or combination is defaulted or configurable.

42. The system of claim 37, wherein the accident tracker app, the fleet management system, or combination thereof is further configured to generate a report in electronic or physical format.

43. The system of claim 37, wherein the accident tracker app, the fleet management system, or combination thereof is further configured to identify the data to be stored as, searchable as, or for production in response to electronic logging device (“

ELD”

) or non-ELD formats or requirements.

44. The system of claim 37, wherein the accident tracker app, the fleet management system, or combination thereof is further configured to purge, store, transfer, or combinations thereof, any portion of the data.

45. A method for analyzing an accident, the method comprising:

identifying, based on evidence, a type of the accident, wherein the identifying comprises by an accident tracker app loaded on a device and optionally a fleet management system, wherein the accident tracker app and the fleet management system are in network connection and associated with logic, memory, processors, and data storage;

assessing, by the accident tracker app, the fleet management system, or combination thereof, severity of the accident based on the evidence related to the accident;

comparing, by the accident tracker app, the fleet management system, or combination thereof, the evidence for the accident; and

determining, by the accident tracker app, the fleet management system, or combination thereof, a disposition for the accident.

46. A method for predicting a probability of an accident, the method comprising:

identifying, based on evidence, a type of the accident, by an accident tracker app, a fleet management system, or a combination thereof, associated with logic, processors, memory, sensors and data storage;

gathering, by the accident tracker app, the fleet management system, or combination thereof, the evidence related to the accident from one or more resources in network communication with the fleet management system; and

determining, by the accident tracker app, the fleet management system, or combination thereof, the probability of the accident based on the evidence comprising weather conditions, mechanical fitness of type of fleet operated, time and day, traffic conditions, traffic patterns, severity, cost, downtime, the type, associated person(s), driving records, driving score of any driver in the accident, data, measurements, road conditions, microclimates, probability of right turns versus left turns, probability of direction of travel, frequency of direction of driving into the sun known variables, deduced variables, calculated data or combinations thereof obtained from the one or more resources, sources, or combinations thereof in network communication.

47. A method for processing data, the method comprising:

reading, by a fleet management system, a device having an accident tracker app, or combination thereof, the data, wherein the data comprises documents, files, data points, other information, wherein the fleet management system, the at least one device having an accident tracker app, or the combination thereof, is in network connection and associated with logic, memory, processors, and data storage;

gathering, by the fleet management system, the device having an accident tracker app, or the combination thereof, at least a portion of the data based on identified subject matter, wherein the identified subject matter comprises a person, entity, vehicle, location, event, words, or combinations thereof within a period; and

routing, subsequent to the gathering, a least a portion of the at least a portion of the data to a destination.