Monitoring transport systems network traffic using mobile communications network usage records

• US 9,843,920 B2
• Filed: 12/21/2012
• Issued: 12/12/2017
• Est. Priority Date: 12/21/2011
• Status: Active Grant

• Current Assignee: International Business Machines Corporation, Vodafone IP Licensing Limited (Vodafone Group PLC)
• Original Assignee: Vodafone IP Licensing Limited (Vodafone Group PLC)
• Inventors: Scarr, Kevin Tristan, Pollington, David, Hickman, Nichola Jane Inglis, Brennan, Damian Frederick, Mays, Daniel Richard
• Primary Examiner(s): Di Prisco, German J Viana
• Application Number:
  US13/725,577
• Publication Number:
  US 20130183927A1
• Time in Patent Office: 1,817 Days
• Field of Search: None
• CPC Class Codes: G08G 1/012 from other sources than vehicle or roadside beacons, e.g. mobile networks
• CPC Class Codes: H04W 4/029 Location-based management or tracking services
• CPC Class Codes: H04W 8/02 Processing of mobility data, e.g. registration information at HLR [Home Location Register] or VLR [Visitor Location Register]; Transfer of mobility data, e.g. between HLR, VLR or external networks

Abstract

Method and system of detecting traffic in a transport network comprising obtaining network usage records from a mobile network. Extracting cell information from the network usage records. Identifying the network usage records originating from moving handsets from the extracted cell information. Matching the identified network usage records with one or more transport routes. Matching each of the one or more transport routes with a transport mode using transport mode map data.

Claims

1. In a mobile network comprising one or more handsets, one or more base stations, and one or more databases, a method of detecting traffic in a transport network, the method comprising:

querying at least one of the databases for network usage records (NUR), the databases being configured to maintain continually updated data regarding each handset that is within a coverage area of at least one of the base stations disposed in the transport;

identifying, from the plurality of NUR, a particular network usage record that corresponds to a moving handset,

wherein a handset is characterized as moving when a corresponding network usage record includes records from multiple cellular base stations, and

wherein the handset is excluded from being characterized as moving when cell coverage overlaps between a starting cellular base station and an ending cellular base station;

matching the particular network usage record of the moving handset with one or more transport routes, the matching including calculating a plurality of different confidence levels each based on different criteria for the one or more transport routes, at least one of the criteria comprising historical movement data for the handset, wherein the plurality of confidence levels are summed together to provide a combined likelihood that the moving handset will follow a particular transport route;

identifying each cellular base station that was recorded in the particular network usage record and determining a location of each identified cellular base station;

based at least partially on the one or more transport routes and the location of each identified cellular base station, identifying a mode of travel for the moving handset, and

generating a visual display that provides an indication of how different transport routes and modes of transport are used.

2. The method of claim 1, wherein the particular network usage record includes information corresponding to mobile events, and wherein the method further includes:

extracting cell information from the particular network usage record, the cell information including cellular base station identifiers.

3. The method of claim 2, wherein the mobile events are selected from a group consisting of:

call;

SMS;

cell change;

MMS;

USSD;

IMSI; and

data download.

4. The method of claim 1, wherein the one or more transport routes are each scheduled transport routes.

5. The method of claim 1, wherein the one or more transport routes are each defined by timetables or road segments.

6. The method of claim 1, wherein the method further comprises:

detecting traffic flow within each of the one or more transport routes by determining how many other moving handsets are also operating on each of the one or more transport routes.

7. The method of claim 1, wherein the mode of travel is selected from a group consisting of:

bus;

train;

automobile;

coach;

walking;

cycling;

light rail;

underground train; and

tram.

8. The method of claim 1, wherein the method further comprises:

determining an origin and a destination of the moving handset.

9. The method of claim 1, wherein the method further comprises:

predicting a future utilisation of each of the one or more transport routes using timing information within the particular network usage record.

10. The method of claim 1, wherein the plurality of NUR are real-time, near real-time, or stored data.

11. The method of claim 1, wherein the method further comprises:

obtaining a distance travelled and a call duration from the particular network usage record.

12. The method of claim 1, wherein the method further comprises:

determining a speed of movement of the moving handset.

13. The method of claim 1, wherein the method further comprises:

obtaining historical movement data for the moving handset; and

upon determining that a current transport route of the moving handset corresponds to the historical movement data, increasing a confidence level of the current transport route.

14. The method of claim 1, wherein the particular network usage record includes information corresponding to mobile events, and wherein the method further includes:

detecting a state of the moving handset, the state being either active or not active; and

upon a condition in which the moving handset is not active, recording, in the particular network usage record, a handover from a first cellular base station to a second cellular base station even though the moving handset is not active.

15. The method of claim 1, further comprising identifying one or more particular segments of a transport route that is over- or underutilized.

16. The method of claim 15, further comprising making a capacity alteration to the transport network based on the identified transport route segments, and further based on the summed plurality of confidence levels.

17. One or more hardware storage devices having stored thereon executable instructions that, when executed by a processor of a computing system, cause the computing system to perform a method of detecting traffic in a transport network, the method comprising:

querying one or more databases for network usage records (NUR), the databases being configured to maintain continually updated data regarding each handset that is within a coverage area of at least one base station disposed in the transport;

identifying, from the plurality of NUR, a particular network usage record that corresponds to a moving handset,

wherein a handset is characterized as moving when a corresponding network usage record includes records from multiple cellular base stations, and

wherein the handset is excluded from being characterized as moving when cell coverage overlaps between a starting cellular base station and an ending cellular base station;

matching the particular network usage record of the moving handset with one or more transport routes, the matching including calculating a plurality of different confidence levels each based on different criteria for the one or more transport routes, at least one of the criteria comprising historical movement data for the handset, wherein the plurality of confidence levels are summed together to provide a combined likelihood that the moving handset will follow a particular transport route;

identifying each cellular base station that was recorded in the particular network usage record and determining a location of each identified cellular base station;

based at least partially on the one or more transport routes and the location of each identified cellular base station, identifying a mode of travel for the moving handset, and

generating a visual display that provides an indication of how different transport routes and modes of transport are used.

18. A mobile network comprising:

one or more cellular base stations;

one or more handsets that communicate with the cellular base stations; and

a computing system comprising;

a processor;

one or more physical non-transitory computer readable medium having computer executable instructions stored thereon that, when executed by the processor, cause the computing system to perform the following;

querying at least one of the databases for network usage records (NUR), the databases being configured to maintain continually updated data regarding each handset that is within a coverage area of at least one of the cellular base stations disposed in a transport;

identify, from the plurality of NUR, a particular network usage record that corresponds to a moving handset,

wherein a handset is characterized as moving when a corresponding network usage record includes records from multiple cellular base stations, and

wherein the handset is excluded from being characterized as moving when cell coverage overlaps between a starting cellular base station and an ending cellular base station;

match the particular network usage record of the moving handset with one or more transport routes, the matching including calculating a plurality of different confidence levels each based on different criteria for the one or more transport routes, at least one of the criteria comprising historical movement data for the handset, wherein the plurality of confidence levels are summed together to provide a combined likelihood that the moving handset will follow a particular transport route;

identify each cellular base station that was recorded in the particular network usage record and determine a location of each identified cellular base station;

based at least partially on the one or more transport routes and the location of each identified cellular base station, identify a mode of travel for the moving handset, and

generating a visual display that provides an indication of how different transport routes and modes of transport are used.