System and method for synthesizing rail vehicle event information

Patent metadata

Field	Value
Publication number	US-2016200331-A1
Application number	US-201514592446-A
Country	US
Kind code	A1
Filing date	Jan 8, 2015
Priority date	Jan 8, 2015
Publication date	Jul 14, 2016
Grant date	—

Abstract

This disclosure relates to a system configured to identify geolocations in a rail network where rail vehicle events are likely to occur. In some implementations, the system may include one or more of a processor, a computing system, electronic storage, external resources, and/or other components. The system may be configured to illustrate the geolocations in the rail network where rail vehicle events are likely to occur on a map of the rail network, predict geolocations in the rail network where rail vehicle events will likely occur, generate coaching information based on the identified geolocations, and/or perform other actions.

First claim

What is claimed is:

1 . A system configured to identify geolocations in a rail network where rail vehicle events are likely to occur, the system comprising one or more physical computer processors configured by computer readable instructions to:
obtain information that characterizes rail vehicle parameters during rail vehicle events, the rail vehicle parameters including geolocations of rail vehicles during the rail vehicle events; and identify individual combinations of rail vehicle parameters associated with apparently elevated likelihoods of rail vehicle events, wherein the individual identified combinations include parameters that indicate shared geolocations where rail vehicle events have occurred.

2 . The system of claim 1 , wherein the one or more physical computer processors are further configured to effectuate communication of instructions to operators of rail vehicles approaching the shared geolocations.

3 . The system of claim 1 , wherein the one or more physical computer processors are further configured, based on the identification of individual combinations of rail vehicle parameters associated with apparently elevated likelihoods of rail vehicle events, to analyze common features of the shared geolocations and predict other geolocations in the rail network where rail vehicle events are likely to occur.

4 . The system of claim 1 , wherein the one or more physical computer processors are further configured to normalize parameters in the identified individual combinations of rail vehicle parameters associated with apparently elevated likelihoods of rail vehicle events based on one or more of a frequency of rail vehicles passing through the shared geolocations where rail vehicle events have occurred or a severity of rail vehicle events at the shared geolocations.

5 . The system of claim 1 , wherein the one or more physical computer processors are further configured to indicate shared geolocations where rail vehicle events have occurred on a map of the rail network.

6 . The system of claim 1 , wherein the one or more physical computer processors are further configured to generate coaching information based on the shared geolocations where rail vehicle events have occurred for presentation to one or more of a rail vehicle operator or a non-rail vehicle operator user during a coaching session.

7 . The system of claim 1 , wherein the one or more physical computer processors are further configured to:
obtain information that characterizes observations associated with the rail vehicle events made by rail vehicle event reviewers; and identify individual combinations of observations associated with apparently elevated likelihoods of rail vehicle events, wherein the individual combinations include observations that indicate shared geolocations where rail vehicle events have occurred.

8 . The system of claim 1 , wherein the one or more physical computer processors are further configured such that:
the obtained information that characterizes rail vehicle parameters during rail vehicle events includes times of day of the rail vehicle events and days of the week the rail vehicle events occur on; and the shared geolocations where rail vehicle events have occurred are categorized based on one or more of the time of day or the day of the week.

9 . The system of claim 1 , wherein the one or more processors are configured such that the rail vehicle events are related to one or more of a collision, a near collision, passing a red over red, passing a signal bar, a deadman, distracted operation of the rail vehicle by a rail vehicle operator, a penalty stop, slingshotting, excessive braking, an improper stop at a station, inappropriate language used by the rail vehicle operator, an intercom call, an intercom response, or activation of an ATP bypass.

10 . The system of claim 1 , wherein the one or more physical computer processors are configured such that the information that characterizes the geolocations of rail vehicles during the rail vehicle events is generated by one or more system location sensors that are coupled with the rail vehicles and/or one or more non-system location sensors that are not coupled with the rail vehicles.

11 . A method for identifying geolocations in a rail network where rail vehicle events are likely to occur, the method comprising:
obtaining information that characterizes rail vehicle parameters during rail vehicle events, the rail vehicle parameters including geolocations of rail vehicles during the rail vehicle events; and identifying individual combinations of rail vehicle parameters associated with apparently elevated likelihoods of rail vehicle events, wherein the individual identified combinations include parameters that indicate shared geolocations where rail vehicle events have occurred.

12 . The method of claim 11 , further comprising effectuating communication of instructions to operators of rail vehicles approaching the shared geolocations.

13 . The method of claim 11 , further comprising analyzing, based on the identification of individual combinations of rail vehicle parameters associated with apparently elevated likelihoods of rail vehicle events, common features of the shared geolocations and predicting other geolocations in the rail network where rail vehicle events are likely to occur.

14 . The method of claim 11 , further comprising normalizing parameters in the identified individual combinations of rail vehicle parameters associated with apparently elevated likelihoods of rail vehicle events based on one or more of a frequency of rail vehicles passing through the shared geolocations where rail vehicle events have occurred or a severity of rail vehicle events at the shared geolocations.

15 . The method of claim 11 , further comprising indicating shared geolocations where rail vehicle events have occurred on a map of the rail network.

16 . The method of claim 11 , further comprising generating coaching information based on the shared geolocations where rail vehicle events have occurred for presentation to one or more of a rail vehicle operator or a non-rail vehicle operator user during a coaching session.

17 . The method of claim 11 , further comprising:
obtaining information that characterizes observations associated with the rail vehicle events made by rail vehicle event reviewers; and identifying individual combinations of observations associated with apparently elevated likelihoods of rail vehicle events, wherein the individual combinations include observations that indicate shared geolocations where rail vehicle events have occurred.

18 . The method of claim 11 , wherein:
the obtained information that characterizes rail vehicle parameters during rail vehicle events includes times of day of the rail vehicle events and days of the week the rail vehicle events occur on; and the shared geolocations where rail vehicle events have occurred are categorized based on one or more of the time of day or the day of the week.

19 . The method of claim 11 , wherein the rail vehicle events are related to one or more of a collision, a near collision, passing a red over red, passing a signal bar, a deadman, distracted operation of the rail vehicle by a rail vehicle operator, a penalty stop, slingshotting, excessive braking, an improper stop at a station, inappropriate language used by the rail vehicle operator, an intercom call, an intercom response, or activation of an ATP bypass.

20 . The method of claim 11 , wherein the information that characterizes

Assignees

• Smartdrive Systems Inc

Inventors

• Palmer Jason
• Sljivar Slaven
• Freitas Mark
• Deninger Daniel A
• Ravari Shahriar

Classifications

• B61L15/0072 Primary

  On-board train data handling · CPC title

• B61L25/02

  Indicating or recording positions or identities of vehicles or trains · CPC title

• B61L27/57

  for vehicles or trains, e.g. trackside supervision of train conditions · CPC title

• B61L27/40

  Handling position reports or trackside vehicle data · CPC title

• B61L15/0081

  On-board diagnosis or maintenance · CPC title