GB2521194A - Driving behaviour monitoring system - Google Patents

Driving behaviour monitoring system Download PDF

Info

Publication number
GB2521194A
GB2521194A GB1322030.6A GB201322030A GB2521194A GB 2521194 A GB2521194 A GB 2521194A GB 201322030 A GB201322030 A GB 201322030A GB 2521194 A GB2521194 A GB 2521194A
Authority
GB
United Kingdom
Prior art keywords
data
data processor
driving
driving behaviour
event
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
GB1322030.6A
Other versions
GB2521194B (en
GB201322030D0 (en
Inventor
Paul Rowan Stacy
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Wunelli Ltd
Original Assignee
Wunelli Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Wunelli Ltd filed Critical Wunelli Ltd
Priority to GB1322030.6A priority Critical patent/GB2521194B/en
Publication of GB201322030D0 publication Critical patent/GB201322030D0/en
Priority to US14/568,568 priority patent/US10089799B2/en
Publication of GB2521194A publication Critical patent/GB2521194A/en
Priority to US16/129,490 priority patent/US10861260B2/en
Application granted granted Critical
Publication of GB2521194B publication Critical patent/GB2521194B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • G—PHYSICS
    • G07—CHECKING-DEVICES
    • G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
    • G07C5/00—Registering or indicating the working of vehicles
    • G07C5/08—Registering or indicating performance data other than driving, working, idle, or waiting time, with or without registering driving, working, idle or waiting time
    • G07C5/0841—Registering performance data
    • G—PHYSICS
    • G08—SIGNALLING
    • G08G—TRAFFIC CONTROL SYSTEMS
    • G08G1/00—Traffic control systems for road vehicles
    • G08G1/20—Monitoring the location of vehicles belonging to a group, e.g. fleet of vehicles, countable or determined number of vehicles
    • G08G1/205—Indicating the location of the monitored vehicles as destination, e.g. accidents, stolen, rental
    • G—PHYSICS
    • G07—CHECKING-DEVICES
    • G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
    • G07C5/00—Registering or indicating the working of vehicles
    • G07C5/08—Registering or indicating performance data other than driving, working, idle, or waiting time, with or without registering driving, working, idle or waiting time
    • G07C5/0808—Diagnosing performance data
    • G—PHYSICS
    • G07—CHECKING-DEVICES
    • G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
    • G07C5/00—Registering or indicating the working of vehicles
    • G07C5/08—Registering or indicating performance data other than driving, working, idle, or waiting time, with or without registering driving, working, idle or waiting time
    • G07C5/0841—Registering performance data
    • G07C5/085—Registering performance data using electronic data carriers
    • G—PHYSICS
    • G08—SIGNALLING
    • G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B25/00—Alarm systems in which the location of the alarm condition is signalled to a central station, e.g. fire or police telegraphic systems
    • G—PHYSICS
    • G08—SIGNALLING
    • G08G—TRAFFIC CONTROL SYSTEMS
    • G08G1/00—Traffic control systems for road vehicles
    • G08G1/01—Detecting movement of traffic to be counted or controlled
    • G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
    • G08G1/0108—Measuring and analyzing of parameters relative to traffic conditions based on the source of data
    • G08G1/0112—Measuring and analyzing of parameters relative to traffic conditions based on the source of data from the vehicle, e.g. floating car data [FCD]
    • G—PHYSICS
    • G08—SIGNALLING
    • G08G—TRAFFIC CONTROL SYSTEMS
    • G08G1/00—Traffic control systems for road vehicles
    • G08G1/01—Detecting movement of traffic to be counted or controlled
    • G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
    • G08G1/0125—Traffic data processing
    • G08G1/0133—Traffic data processing for classifying traffic situation

Abstract

A data processor (6, Fig.1) communicates with a driving behaviour monitoring device (3, Fig.1) carried in a vehicle (2, Fig.1). The data processor receives and processes driving behaviour data including an instantaneous geographical location of the device from the device 101-103; determines, based on the received data, whether said data is indicative of a driving accident event; and, if so, records a location of the event and determines whether the device moves by more than a predetermined distance from the location of the event within a predetermined amount of time. If the vehicle is stationary during the predetermined time, it is likely that a traffic accident (e.g. a collision) has occurred 104-105. The data may comprise vehicle speed, acceleration or deceleration. The system may thus filter out events that are unlikely to be genuine accident alerts e.g. to challenge a false insurance claim.

Description

DRIVING BEHAVIOUR MONITORING SYSTEMS
Technical Field
The present invention relates generaHv to driving behaviour monitoring systems.
Background
It can be desirable to monitor how a vehicle is used in order to be able to use the to vehicle usage data for a suppkmentary purpose. One use of such vehicle usage data is to be able to calculate, or adjust, a vehicle insurance premium in dependence upon how the vehicle is being used. Another use of such vehicle usage data would be to provide feedback to the driver on how they are driving, for example, how safely they are driving. We seek to provide improvements in relation to such systems.
We have appreciated that when a genuine driving accident occurs, the driver is more like'y to stay within a certain distance of the vehicle (or incident or impact scene) within a certain period of time. We have devised a driving behaviour monitoring system which can determine the hkelihood of a genuine driving accident.
Summary
According to a first aspect of the invention there is provided a data processor, the data processor arranged to communicate with a driving behaviour monitoring device, the data processor arranged to receive and process driving behaviour data from the device including the instantaneous geographical location of the device, based on the received driving behaviour data, the data processor arranged to determine whether a vehicle, which carries the device, receives driving behaviour data which is indicative of a driving accident event, and if such an event is determined, the data processor arranged to record the geographical ocation associated with the event, and the data processor further arranged to determine whether the geographical location of the device has changed by more than a predetermined distance from the event location, within a predetermined amount of time.
The data processor may be termed a driving behaviour monitoring data processor.
The device may be viewed as collecting, processing and transmitting (to the data processor) driving behaviour data.
The data processor may be arranged to communicate with the device by way of a telecommunications network, The data processor may be part of a server mode.
Ihe data processor may be arranged to determine when a sequence or combined sequcncc of detected events, or one of a plurality of specified events, occurs, which sequence or event is predetermined as being indicative of a potential accident. For tO example. such a predetermined sequence of events may include a sudden or extremely abrupt deceleration (derived from geographical positioning data), followed by an engine OFF signal (as received in a signal from the vehicles engine control unit) and the vehicle being determined to be stationary. Broadly. the data processor stores data against which real-time vehicle usage data is compared to determine if a driving accident event has occurred, A memory of the data processor preferably stores a plurality of potential accident event sequences.
Once a (potential) accident event has been determined, the data processor is preferably then operative to store the geographical position of the (stationary) vehicle, and then deterniine whether the geographica' position of the device exceeds the (potential accident) location by more than a predetermined amount, within a predetermined time.
Preferably the device arranged to receive a plurahty of data input sources which are used to perform driving monitoring.
Preferably the device is arranged to receive data inputs including at kast one of the fo I owing: Vehicle operating data Vehicle speed Acceleration (including deceleration) The device is preferably arranged to monitor for a predetermined deceleration range.
which can be used, at least in part, to identify a potential accident event.
According to an alternative aspect of the invention there is provided a driving behaviour monitoring device, which comprises a data processor the device further comprising a geographic positioning module and the processor may be arranged to determine, if sensed driving behaviour data which is indicative of a driving accident event and to record a geographical location associated with the data and to further determine whether the device has changed its geographical position by more than a to predetermined distance within a predetermined time, In the alternative embodiment, the device may be arranged to process received input data which relate to real-time characteristics of the vehicle and is dynamics, so as to determine (as opposed to the data processor remote of the device) whether a potential accident event has occurred.
Preferably, when the monitoring functionality is activated, positional data of the vehicle, or data derived from the positional data, may be recorded and/or output by the device, The device may comprise an installed software application which is operative to implement driving monitoring functionality, The geographic positioning moduk is preferably arranged to communicate with a satellite positioning system, such as GPS, for example.
The device may comprise a cellular mobile telecommunications device or tdephone, The device may be enabled to determine the speed and/or acceleration of the vehicle.
The device may be arranged to determine the presence of a short range air interface communications device installed in the vehicle, The device may be arranged to detect a polling signal emitted by the communications device, The communications device may be a Bluetootht device, for example.
The data processor may bc arral1ged to measure changes in acccleration experienced by the device. The data processor may determine sequences of changes in acceleration experienced by the device, and compares the sequences to stored patterns of acceleration. The data processor is preferably arranged to determine whether there is sufficient similarity between the measured acceleration sequence and the stored acceleration pattern and if it is determined that there is a sufficient similarity which is indicative of a driving accident event.
According to another aspect of the invention there is provided a driving behaviour to monitoring system which comprises a data processor server and a driving behaviour monitor device, the server arranged to receive driving behaviour data from the device and determine if an accident event has occurred and to evaluate the same by determining whether the device has been displaced by more that a predetenthned amount in an predetermined time, The device may be arranged to commlLnieate with an onboard diagnostics module or engine management unit of the vehicle and to obtain vehicle usage or operational data therefrom. The onboard diagnostics module may be arranged to transmit vehicle ignition-on and vehicle ignition-off events and data from the vehick's management system, The device may bc arranged to use said data in determining whether a driving accident event has occurred.
According to a further aspect of the invention there is provided a method of operating a driving behaviour monitor, the method may comprise using driving behaviour data sensed by the device to determine whether a driving accident event has occurred, The method may comprise using data sensed by the devicc within the local environment of the device, to determine if said device is in the frame of reference of a vecle.
A further aspect of the invention relates to machine-readable instructions arranged, when executed by a data processor, to implement the auto-start functionality of the first aspect of the invention, The instructions may be reahsed as a software product, The software product may be suitable for installation onto a telecommunications device.
The invention may be viewed as an incident alert filtering system.
The above aspects of the invention may include any of the features described in the
detailed description and/or drawings.
S
Brief description of the drawings
Various cmbodiments of the invention will now be dcscribed, by way of example only, with reference to the accompanying drawings in which: I0 Figure 1 is a schematic diagram of a driving behaviour monitoring system, and Figure 2 is a flow diagram of a first sequence of processing steps performed by the device to determine if a driving accident event has occurred.
Detailed description
Reference is made initially to Figure 1 which shows a driving behaviour monitoring system I, which comprises a ceflular mobile communications device 3, and a driving behaviour scrvcr 6. Broadly, the telephone 3 is providcd with an application 3a which is operative, when executcd by a data processor of the telephone, to monitor the driving behaviour of the user of the telephone whilst driving a vehicle 2. The application 3a receives driving behaviour data indicative of the driver's speed, acceleration, geographical position via a navigational positional module 3b. such as G'obal Positioning System (GPS), The apphcation also receives data from the vehicle 2, such as the vehicle's on board diagnostics module, which generates vehicle usage data. The telephone is operative to send the data, via a telecommunications network. 4 and 5. to a server 6, where the data is processed to determine a driving behaviour score and (as described below) to determine and evahiate driving accident events. Driving scores are caused to be stored in a database 6a, In use, the data processor 6 receives driving behaviour data from the device 3, by way of the telecommunications network. The data received by the device 3 includes geographic positional data (by way of communication with a satellite array), (vehicle) speed, (vehicle) acceleration, vehicle operating data (by way of data received from the vehicle's diagnostic module, which the device is arranged to communicate with).
The memory 6a of the data processor 6 stores data which is characteristic of a (potential) driving accident having occurred iii relation to received driving behaviour data from the monitor device, and to determine whether received data correlates sufficiently to the stored data to be indicative of a (potential) driving accident. lhis could include a sudden deceleration and an engine OFF signal from the diagnostic module. Having recognised that an accident event has occurred, the data processor 6 stores a geographic location which is associated with the accident event data ie the accident event data arose at a particular geographic location with the triggering data being deducible from timestamp data applied to the device on sending the data to the data processor.
Having now determined that an accident event has occurred, and having stored the geographic location, the processor now implements a routine which serves to determine whether it is more or less hkev that the accident event does instead relate to an actual traffic accident, such as a collision. The processor now commences a timer which is operational for a predetermined period. During that period the processor receives, periodically, updates of geographic position data of the device 6, If. during the predetermined time, the processor determines that the device 6 has moved further away from the accident event location by more than a predetermined distance, the processor determines that it is less likely that an actual accident has occurred. If, however, the device does not exceed that predetermined distance in the given time, it is more likely that an actual traffic accident has occurred, in the latter case, the data processor records on the memory details of the time and location of the accident. However, it may be that the driver has simply had to make an emergency stop and the engine stafled, with no injury to the driver, or any damage to the user's vehicle or a third party's vehicle or property. The process which is conducted by the processor is shown in Figure 2 which shows a flow diagram with steps 101 to 106.
The above process is of particular advantage in being able to provide a meaningful indication to an insurance provider of the user, as to the likehhood of an accident having occurred, This information may be used by the insurance provider to adjust the user's premium and/or to challenge the veracity of a false insurance claim for a fraudulent claim of a (non-existent) accident. The apparatus described above may be viewed as an incident alert filtering system with the capacity to filter out events that are unhke!y to be actual/genuine accident alerts.

Claims (5)

  1. SCLAIMSA data processor, the data processor arranged to communicate with a driving behaviour monitoring device, the data processor arranged to receive and process driving behaviour data from the device induding the instantaneous geographical location of the device, based on the received driving behaviour data, the data processor arranged to determine whether a vehicle, which carries the device, receives driving behaviour data which is indicative of a driving accident event, al1d if such an event is determined, the data processor arranged to record the geographical location associated with the event, and the data processor further arranged to determine whether the geographical location of the device has changed by more than a predetermined distance from the event location, within a predetermined amount of time.
  2. 2. The data processor of claim 1 which is termed a driving behaviour monitoring data processor.
  3. 3. A data processor as claimed in claim 1 or claim 2 in which the device is operative to coflect, process and transmit (to the data processor) driving behaviour data.
  4. 4, A data processor as claimed in claim I or claim 2 in which the data processor is arranged to communicate with the device by way of a telecommunications network.
  5. 5. The data processor as claimed in any preceding claim which is part of a server mode.
    6, A data processor as claimed in any preceding claim which is arranged to determine when a sequence or combined sequence of detected events, or one of a plurahty of specified events, occurs, which sequence or event is predetermined as being indicative of a potential accident, 7, A data processor as daimed in any preceding daim which comprises a memory which stores a plurality of potential accident event sequences, S. A data processor as claimed in any preceding claim in which once a (potential) accident event has been determined, the data processor is then operative to store the geographical position of the (stationary) vehicle, and then detemiine whether the geographical position of the device exceeds the (potential accident) location by more than a predetermined amount, within a predetermined time.9, A data processor as claimed in any preceding claim in which the device arranged to receive a plurality of data input sources which are used to perform driving monitoring.10, A data processor as claimed in any preceding claim in which the device is arranged to receive data inputs including at least one of the following: Vehicle operating data Vehide speed Acceleration (including deceleration) 11. A driving behaviour monitoring device, which comprises a data processor, the device further comprising a geographic positioning module and the processor may be arranged to determine, if sensed driving behaviour data which is indicative of a driving accident event and to record a geographical location associated with the data and to further determine whether the device has changed its geographical position by more than a predetermined distance within a predetermined time, In the alternative embodiment. the device may be arranged to process received input data which relate to real-time characteristics of the vehicle and is dynamics, so as to determine (as opposed to the data processor remote of the device) whether a potential accident event has occurred, 12, A driving behaviour monitoring device as claimed in daim ii in which when the monitoring functionality is activated, positional data of the vehide, or data derived from the positional data, is recorded and/or output by the device, 13. A driving behaviour monitoring device as claimed in claim 11 or claim 12 which comprises an instafled software application which is operative to implement driving monitoring functionality.14, A driving behaviour monitoring device as claimed in any of claims 11 to 13 in which the geographic positioning module is arranged to communicate with a satellite positioning system, such as GPS, for example.15 A driving behaviour monitoring device as daimed in any of claims 11 to 14 which comprises a cellular mobile telecommunications device or telephone.16, A driving behaviour monitoring device as claimed in any of claims 11 to 15 which is enabled to determine the speed and/or acceleration of the vehicle. I017, A driving behaviour monitoring device as claimed in any of claims 11 to 16 in which the data processor is arranged to measure changes in acceleration experienced by the device.18. A driving behaviour monitoring device as claimed in claim 17 in which the data processor detennines sequences of changes in acceleration experienced by the device, and compares the sequences to stored patterns of accderation, 19, A driving behaviour monitoring device as claimed in claim 17 in which the data processor is arranged to determine whether there is sufficient similarity between the measured acceleration sequence and the stored acceleration pattern and if it is determined that there is a sufficient similarity which is indicative of a driving accident event.20, A driving behaviour monitoring device or system snbstantiafly as herein described with reference to the drawings.
GB1322030.6A 2013-12-12 2013-12-12 Driving behaviour monitoring systems Active GB2521194B (en)

Priority Applications (3)

Application Number Priority Date Filing Date Title
GB1322030.6A GB2521194B (en) 2013-12-12 2013-12-12 Driving behaviour monitoring systems
US14/568,568 US10089799B2 (en) 2013-12-12 2014-12-12 Driving behaviour monitoring systems
US16/129,490 US10861260B2 (en) 2013-12-12 2018-09-12 Driving behaviour monitoring systems

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
GB1322030.6A GB2521194B (en) 2013-12-12 2013-12-12 Driving behaviour monitoring systems

Publications (3)

Publication Number Publication Date
GB201322030D0 GB201322030D0 (en) 2014-01-29
GB2521194A true GB2521194A (en) 2015-06-17
GB2521194B GB2521194B (en) 2020-09-02

Family

ID=50030854

Family Applications (1)

Application Number Title Priority Date Filing Date
GB1322030.6A Active GB2521194B (en) 2013-12-12 2013-12-12 Driving behaviour monitoring systems

Country Status (2)

Country Link
US (2) US10089799B2 (en)
GB (1) GB2521194B (en)

Families Citing this family (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US9562776B2 (en) 2013-04-23 2017-02-07 Intelligent Mechatronic Systems Inc. Location-based security
CA2982418C (en) 2015-04-09 2023-01-24 Ims Solutions Inc. Opportunistic calibration of a smartphone orientation in a vehicle
US10902336B2 (en) 2017-10-03 2021-01-26 International Business Machines Corporation Monitoring vehicular operation risk using sensing devices
KR102332527B1 (en) 2020-02-24 2021-11-29 삼성전자주식회사 Method for determining vehicle accident, server device performing the same method, vehicle electronic device, and operating method for the vehicle electronic device

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20050208925A1 (en) * 2004-03-16 2005-09-22 Texas Instruments Incorporated Handheld portable automatic emergency alert system and method
US20110279263A1 (en) * 2010-05-13 2011-11-17 Ryan Scott Rodkey Event Detection
GB2485971A (en) * 2010-11-19 2012-06-06 Fmg Support Ltd Transmitting recorded data in the event of a road vehicle accident
US20130069802A1 (en) * 2011-09-20 2013-03-21 Amotech Ltd. Car accident automatic emergency service alerting system

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20050208925A1 (en) * 2004-03-16 2005-09-22 Texas Instruments Incorporated Handheld portable automatic emergency alert system and method
US20110279263A1 (en) * 2010-05-13 2011-11-17 Ryan Scott Rodkey Event Detection
GB2485971A (en) * 2010-11-19 2012-06-06 Fmg Support Ltd Transmitting recorded data in the event of a road vehicle accident
US20130069802A1 (en) * 2011-09-20 2013-03-21 Amotech Ltd. Car accident automatic emergency service alerting system

Also Published As

Publication number Publication date
US20150170436A1 (en) 2015-06-18
GB2521194B (en) 2020-09-02
US10089799B2 (en) 2018-10-02
GB201322030D0 (en) 2014-01-29
US20190026965A1 (en) 2019-01-24
US10861260B2 (en) 2020-12-08

Similar Documents

Publication Publication Date Title
US10861260B2 (en) Driving behaviour monitoring systems
CN105383416B (en) Method and apparatus for activation and logging of event data records
KR101769102B1 (en) Vehicle operation record analysis system and method connected to server of insurance company by using the OBD and smart phone
CN106157614B (en) Automobile accident responsibility determination method and system
US8749350B2 (en) Method of processing vehicle crash data
EP2481037B1 (en) Driver assistance device and system for vehicle accident detection and method for detecting a vehicle accident
US20160086043A1 (en) Using passive driver identification and other input for providing real-time alerts or actions
US9665997B2 (en) Method and system for providing feedback based on driving behavior
CN104346954A (en) METHOD AND DEVICE FOR SUPPLYING and administrating A COLLISION SIGNAL, and A METHOD AND DEVICE FOR CONTROLLING COLLISION PROTECTION DEVICE
US20090051510A1 (en) System and Method for Detecting and Reporting Vehicle Damage
US20110279263A1 (en) Event Detection
US8836490B2 (en) Vehicle management
CN107433921B (en) Vehicle running state monitoring method, device and system
CN103700160A (en) Motor vehicle onboard terminal based on microsensor and driving behavior judgment method
CN105651291A (en) Fault early warning method and system for vehicles
CN110503802A (en) Driving accident judgment method and system based on automobile data recorder
CN103064395A (en) Vehicle monitoring system and vehicle monitoring method
US11186257B2 (en) Automobile driver biometric authentication and GPS services
CN106627459A (en) Automobile safety warning and accident warning based on intelligent device and location method
Bhuvaneswari et al. A Smart Speed Governor Device For Vehicle Using Iot
JP2019003487A (en) On-vehicle communication device, vehicle abnormality detection system, vehicle abnormality notification method, and computer program
AU2017225115A1 (en) A method of determining if a vehicle has been stolen and a system therefor
US20140365030A1 (en) Driving behaviour monitoring systems
CN115848545A (en) Motorcycle safety monitoring method
CN113345125A (en) Method, device, equipment and storage medium for detecting and processing falling event of vehicle

Legal Events

Date Code Title Description
732E Amendments to the register in respect of changes of name or changes affecting rights (sect. 32/1977)

Free format text: REGISTERED BETWEEN 20210701 AND 20210707