WO2022172147A1 - An automated computational method and tolling system for the determination of the validity of the passage of a vehicle in a toll - Google Patents
An automated computational method and tolling system for the determination of the validity of the passage of a vehicle in a toll Download PDFInfo
- Publication number
- WO2022172147A1 WO2022172147A1 PCT/IB2022/051052 IB2022051052W WO2022172147A1 WO 2022172147 A1 WO2022172147 A1 WO 2022172147A1 IB 2022051052 W IB2022051052 W IB 2022051052W WO 2022172147 A1 WO2022172147 A1 WO 2022172147A1
- Authority
- WO
- WIPO (PCT)
- Prior art keywords
- vehicle
- toll
- license plate
- plate number
- mobile device
- Prior art date
Links
Classifications
-
- G—PHYSICS
- G07—CHECKING-DEVICES
- G07B—TICKET-ISSUING APPARATUS; FARE-REGISTERING APPARATUS; FRANKING APPARATUS
- G07B15/00—Arrangements or apparatus for collecting fares, tolls or entrance fees at one or more control points
- G07B15/06—Arrangements for road pricing or congestion charging of vehicles or vehicle users, e.g. automatic toll systems
- G07B15/063—Arrangements for road pricing or congestion charging of vehicles or vehicle users, e.g. automatic toll systems using wireless information transmission between the vehicle and a fixed station
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/50—Context or environment of the image
- G06V20/52—Surveillance or monitoring of activities, e.g. for recognising suspicious objects
- G06V20/54—Surveillance or monitoring of activities, e.g. for recognising suspicious objects of traffic, e.g. cars on the road, trains or boats
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/60—Type of objects
- G06V20/62—Text, e.g. of license plates, overlay texts or captions on TV images
- G06V20/625—License plates
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V30/00—Character recognition; Recognising digital ink; Document-oriented image-based pattern recognition
- G06V30/10—Character recognition
- G06V30/19—Recognition using electronic means
- G06V30/19007—Matching; Proximity measures
- G06V30/19093—Proximity measures, i.e. similarity or distance measures
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
- H04W4/30—Services specially adapted for particular environments, situations or purposes
- H04W4/40—Services specially adapted for particular environments, situations or purposes for vehicles, e.g. vehicle-to-pedestrians [V2P]
- H04W4/44—Services specially adapted for particular environments, situations or purposes for vehicles, e.g. vehicle-to-pedestrians [V2P] for communication between vehicles and infrastructures, e.g. vehicle-to-cloud [V2C] or vehicle-to-home [V2H]
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
- H04W4/80—Services using short range communication, e.g. near-field communication [NFC], radio-frequency identification [RFID] or low energy communication
Definitions
- Such provides a simplified solution of determining if the vehicle which is actually passing through the toll and is identified through the optical means is in fact a known vehicle, and its passage through a toll is valid. Furthermore, and especially for cases in which the vehicle passes through the toll with a velocity higher than the desirable for artificial vision-based systems, errors may exist in the recognition of the license plate number from the at least one image. Other errors in the recognition of the license plate number may be associated with the bad condition of the plates or environmental conditions, such as fog, snow ice, rain or excess of sunlight. In artificial vision-based systems known in the art, such situations are typically solved by human verification of the images.
- the remote backend server when no unique information received by the remote backend server is determined to correspond to information obtained from the at least one image of the vehicle, it is determined in a registration database if the information obtained from the at least one image of the vehicle corresponds to a known registered user. Such allows to, in the case that the vehicle identified through the images obtained by optical means is not corresponded by unique information received by the remote backend server, still an associated user may be identified.
- the determination of the present position of the mobile device is determined by means of a radionavigation-satellite service, preferably Global Positioning System (GPS), GALILEO, GLONASS, BeiDou or NavIC.
- a radionavigation-satellite service preferably Global Positioning System (GPS), GALILEO, GLONASS, BeiDou or NavIC.
- GPS Global Positioning System
- GALILEO Global Positioning System
- GLONASS GLONASS
- BeiDou or NavIC BeiDou or NavIC
- the computational means are further configured to i) determine a first license plate number of the vehicle from the obtained at least one image of the vehicle, and to ii) determine a second license plate number from the unique information associated with the respective vehicle received by the remote backend server, the computational means being further configured to compare the first license number plate with the second license plate number and thereby determine if a passage of a vehicle through a toll is valid.
- the computational means are further configured such that the comparison between the first license plate number and the second license plate number comprises determining a similarity between the first license plate number and the second license plate number, the similarity comprising determining differences between alphanumeric characters in a same position of the first license plate number and the second license plate number.
- the method of the present disclosure still allows to close the validation even where the first and second license plate numbers are not the same, i.e., where there is no 100% match between the license plate number obtained from the at least one image (first) and the license plate number obtained from the remote backend server (second). For example, if the difference between the first license plate number and the second license plate number is just of one character, such as an alphanumerical character, still the validation loop may be closed.
- the similarity degree or threshold may be tuned depending on the desired risk tolerance. Such may be adapted by a highway operator implementing the method of the present disclosure.
- it further comprises an upwind fixed device, the upwind fixed device being configured to issue a message compliant with the iBeacon protocol, wherein such message compliant with the iBeacon protocol is such that, upon its receipt, it provides for a mobile device to leave from a low power mode to a detection mode.
- This solution thereby allows to cause the mobile device to leave a low power mode into a detection mode, in which the mobile device is able to receive the wireless beacon from the fixed wireless device.
- This solution allows that the mobile device is in a low power mode in which a reception mode is not on at all times.
- the present disclosure may include a second embodiment of an automated computational method for the determination of the validity of the passage of a vehicle in a toll which comprises the steps of:
- the mobile device establishing a connection with a fixed wireless device associated with the toll, the fixed wireless device being configured with a unique information associated with the toll, - subsequently, the mobile device sending a wireless message to the fixed wireless device associated with the toll, the message comprising a unique information associated with the respective vehicle,
- the information received at the remote backend server contains both a unique information - thus a unique identification - of the mobile device associated with the vehicle and a unique information associated with the toll - thus also a unique identification.
- a valid passage may be regarded as the passage of a vehicle which has been previously registered in a database.
- a valid passage may be regarded as the passage of a vehicle without the issue of a fine.
- the wireless message issued by the mobile device is a simple type of message which still requires that the mobile device and the fixed wireless device establish a connection.
- Such feature is particularly relevant in the applications of the present disclosure, as it highly improves the efficacy of the receipt of the unique information associated with the toll by the mobile device when the vehicle associated with the mobile device travels at a speed which allows a successful receipt of the wireless message by the fixed wireless device.
- the validation message is sent to the remote backend server directly by the fixed wireless device, it allows that the mobile device is not able to connect through another type of network, such as a cellular network, for instance because no such means are provided.
- the method of the present disclosure thereby allows to operate in an offline (as regards the mobile device) mode.
- the optical means are positioned in proximity with the fixed wireless device and thereby are considered to operate in respect to a same toll.
- optical means associated with the toll configured to obtain at least one image of the vehicle upon the passage of a vehicle through a toll, the optical means being positioned in proximity with the fixed wireless device, and the system comprising computational means which are further configured to, based on the at least one image of the vehicle, determine if such vehicle corresponds to a vehicle associated with the said unique information received by the remote backend server and thereby determine if a passage of a vehicle through a toll is valid.
- the second system of the present disclosure provides for the same advantages described above in respect of the method of the present disclosure.
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Computer Networks & Wireless Communication (AREA)
- Multimedia (AREA)
- Theoretical Computer Science (AREA)
- Business, Economics & Management (AREA)
- Finance (AREA)
- Signal Processing (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Devices For Checking Fares Or Tickets At Control Points (AREA)
- Traffic Control Systems (AREA)
Abstract
Description
Claims
Priority Applications (8)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
IL305056A IL305056A (en) | 2021-02-09 | 2022-02-07 | Automatic toll calculation method for determining the speed of passage of a vehicle at a toll crossing |
KR1020237030868A KR20230152048A (en) | 2021-02-09 | 2022-02-07 | Automated calculation method and toll collection system for determining validity of vehicle passage at toll booths |
CN202280024441.8A CN117063211A (en) | 2021-02-09 | 2022-02-07 | Automated computing method and toll collection system for determining the effectiveness of a vehicle passing through a toll station |
CR20230384A CR20230384A (en) | 2021-02-09 | 2022-02-07 | An automated computational method and tolling system for the determination of the validity of the passage of a vehicle in a toll |
EP22706391.4A EP4292064A1 (en) | 2021-02-09 | 2022-02-07 | An automated computational method and tolling system for the determination of the validity of the passage of a vehicle in a toll |
AU2022219627A AU2022219627A1 (en) | 2021-02-09 | 2022-02-07 | An automated computational method and tolling system for the determination of the validity of the passage of a vehicle in a toll |
CA3207568A CA3207568A1 (en) | 2021-02-09 | 2022-02-07 | An automated computational method and tolling system for the determination of the validity of the passage of a vehicle in a toll |
CONC2023/0010430A CO2023010430A2 (en) | 2021-02-09 | 2023-08-09 | An automated computational method and toll system for determining the validity of a vehicle's passage at a toll |
Applications Claiming Priority (4)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
PT117056 | 2021-02-09 | ||
PT11705621 | 2021-02-09 | ||
US17/207,681 US11715335B2 (en) | 2021-02-09 | 2021-03-21 | Automated computational method and tolling system for the determination of the validity of the passage of a vehicle in a toll |
US17/207,681 | 2021-03-21 |
Publications (1)
Publication Number | Publication Date |
---|---|
WO2022172147A1 true WO2022172147A1 (en) | 2022-08-18 |
Family
ID=80461027
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
PCT/IB2022/051052 WO2022172147A1 (en) | 2021-02-09 | 2022-02-07 | An automated computational method and tolling system for the determination of the validity of the passage of a vehicle in a toll |
Country Status (9)
Country | Link |
---|---|
EP (1) | EP4292064A1 (en) |
KR (1) | KR20230152048A (en) |
AU (1) | AU2022219627A1 (en) |
CA (1) | CA3207568A1 (en) |
CL (1) | CL2023002346A1 (en) |
CO (1) | CO2023010430A2 (en) |
CR (1) | CR20230384A (en) |
IL (1) | IL305056A (en) |
WO (1) | WO2022172147A1 (en) |
Families Citing this family (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP7422343B1 (en) * | 2023-07-31 | 2024-01-26 | パナソニックIpマネジメント株式会社 | Character recognition device, character recognition method and character recognition system |
Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
WO1995014982A1 (en) * | 1993-11-25 | 1995-06-01 | Robert Bosch Gmbh | Beacon transmitter with activation zone |
CA2867173A1 (en) * | 2014-10-07 | 2016-04-07 | Kapsch Trafficcom Ag | Beacon-based mobile payments |
US20180061143A1 (en) * | 2016-09-01 | 2018-03-01 | Anthony Nelson | Application, device and system for toll collection |
US20190065860A1 (en) * | 2017-08-25 | 2019-02-28 | Kapsch Trafficcom Ag | Method for surveilling a tolling system |
-
2022
- 2022-02-07 IL IL305056A patent/IL305056A/en unknown
- 2022-02-07 KR KR1020237030868A patent/KR20230152048A/en active Pending
- 2022-02-07 WO PCT/IB2022/051052 patent/WO2022172147A1/en active Application Filing
- 2022-02-07 CR CR20230384A patent/CR20230384A/en unknown
- 2022-02-07 CA CA3207568A patent/CA3207568A1/en active Pending
- 2022-02-07 AU AU2022219627A patent/AU2022219627A1/en active Pending
- 2022-02-07 EP EP22706391.4A patent/EP4292064A1/en active Pending
-
2023
- 2023-08-09 CO CONC2023/0010430A patent/CO2023010430A2/en unknown
- 2023-08-09 CL CL2023002346A patent/CL2023002346A1/en unknown
Patent Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
WO1995014982A1 (en) * | 1993-11-25 | 1995-06-01 | Robert Bosch Gmbh | Beacon transmitter with activation zone |
CA2867173A1 (en) * | 2014-10-07 | 2016-04-07 | Kapsch Trafficcom Ag | Beacon-based mobile payments |
US20180061143A1 (en) * | 2016-09-01 | 2018-03-01 | Anthony Nelson | Application, device and system for toll collection |
US20190065860A1 (en) * | 2017-08-25 | 2019-02-28 | Kapsch Trafficcom Ag | Method for surveilling a tolling system |
Also Published As
Publication number | Publication date |
---|---|
CR20230384A (en) | 2023-12-12 |
EP4292064A1 (en) | 2023-12-20 |
CA3207568A1 (en) | 2022-08-18 |
IL305056A (en) | 2023-10-01 |
KR20230152048A (en) | 2023-11-02 |
CO2023010430A2 (en) | 2023-09-29 |
AU2022219627A1 (en) | 2023-08-24 |
CL2023002346A1 (en) | 2024-03-08 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
US12008840B2 (en) | Vehicle traffic and vehicle related transaction control system | |
EP1975884B1 (en) | Mobile object charging system and mobile object charging method by mobile object charging system | |
CN101409862B (en) | Method for obtaining traffic information using billing information of mobile terminal | |
US20160203651A1 (en) | Vehicle traffic and vehicle related transaction control system | |
CA2867173A1 (en) | Beacon-based mobile payments | |
JP2015513720A (en) | Automated vehicle parking management method | |
CN109523646A (en) | A kind of Vehicular intelligent passing method and system | |
CN112085862A (en) | ETC-based parking fee payment method, device, equipment, medium and system | |
US11715335B2 (en) | Automated computational method and tolling system for the determination of the validity of the passage of a vehicle in a toll | |
EP4292064A1 (en) | An automated computational method and tolling system for the determination of the validity of the passage of a vehicle in a toll | |
US20230410539A1 (en) | Method and system for reducing manual review of license plate images for assessing toll charges | |
US11907929B2 (en) | Method and system for detecting multiple users traveling together and charging a single toll among the users automatically | |
CN117063211A (en) | Automated computing method and toll collection system for determining the effectiveness of a vehicle passing through a toll station | |
CN110379174B (en) | Traffic control system based on 5G positioning and video analysis technology | |
CN105096608A (en) | Method, device and system for improving identification accuracy of license plates | |
CN114415216B (en) | Positioning method, system and storage medium for electronic toll collection system | |
US20240118373A1 (en) | Automated and mobile device based computational method and system for the determination of the lane which a vehicle crosses, from a plurality of lanes of a road toll | |
WO2024075028A1 (en) | An automated and mobile device based computational method and system for the determination of the lane which a vehicle crosses, from a plurality of lanes of a road toll | |
WO2015166478A1 (en) | A system and method for identifying a vehicle in a toll area | |
CN112085863A (en) | ETC-based parking fee segmented payment method, device, equipment and medium | |
ITAN20100154A1 (en) | GEOGRAPHICAL AUTHENTICATION PROCEDURE FOR AUTOMATIC MOTOR VEHICLE IDENTIFICATION WITH REGARD TO THE EXIT OF ROADS AND OTHER AUTOMATIC MOBILITY MANAGEMENT PROCEDURES. | |
CN107093218A (en) | A kind of multi-functional positioning message accounting and system | |
HK1091638B (en) | Method for obtaining traffic information using billing information of mobile terminal | |
HK1121846B (en) | Mobile object charging system and mobile object charging method by mobile object charging system |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
121 | Ep: the epo has been informed by wipo that ep was designated in this application |
Ref document number: 22706391 Country of ref document: EP Kind code of ref document: A1 |
|
WWE | Wipo information: entry into national phase |
Ref document number: 3207568 Country of ref document: CA |
|
WWE | Wipo information: entry into national phase |
Ref document number: 305056 Country of ref document: IL |
|
WWE | Wipo information: entry into national phase |
Ref document number: NC2023/0010430 Country of ref document: CO |
|
REG | Reference to national code |
Ref country code: BR Ref legal event code: B01A Ref document number: 112023016016 Country of ref document: BR |
|
ENP | Entry into the national phase |
Ref document number: 2022219627 Country of ref document: AU Date of ref document: 20220207 Kind code of ref document: A |
|
ENP | Entry into the national phase |
Ref document number: 20237030868 Country of ref document: KR Kind code of ref document: A |
|
WWE | Wipo information: entry into national phase |
Ref document number: 1020237030868 Country of ref document: KR |
|
WWE | Wipo information: entry into national phase |
Ref document number: 2022706391 Country of ref document: EP |
|
NENP | Non-entry into the national phase |
Ref country code: DE |
|
ENP | Entry into the national phase |
Ref document number: 2022706391 Country of ref document: EP Effective date: 20230911 |
|
WWE | Wipo information: entry into national phase |
Ref document number: 202280024441.8 Country of ref document: CN |
|
WWP | Wipo information: published in national office |
Ref document number: NC2023/0010430 Country of ref document: CO |
|
REG | Reference to national code |
Ref country code: BR Ref legal event code: B01E Ref document number: 112023016016 Country of ref document: BR Free format text: APRESENTE NOVAS FOLHAS DAS REIVINDICACOES CONTENDO A EXPRESSAO ?CARACTERIZADO POR?, CONFORME ART. 17 INCISO III DA INSTRUCAO NORMATIVA/INPI/NO 31/2013, UMA VEZ QUE DIVERSAS REIVINDICACOES APRESENTADAS NA PETICAO NO 870230070310 DE 09/08/2023 NAO POSSUEM A EXPRESSAO CITADA. A EXIGENCIA DEVE SER RESPONDIDA EM ATE 60 (SESSENTA) DIAS DE SUA PUBLICACAO E DEVE SER REALIZADA POR MEIO DA PETICAO GRU CODIGO DE SERVICO 207. |
|
REG | Reference to national code |
Ref country code: BR Ref legal event code: B01E Ref document number: 112023016016 Country of ref document: BR Free format text: EM ADITAMENTO A EXIGENCIA PUBLICADA NA RPI 2756, APRESENTE NOVAS FOLHAS DAS REIVINDICACOES CONTENDO A EXPRESSAO ?CARACTERIZADO POR?, CONFORME ART. 17 INCISO III DA INSTRUCAO NORMATIVA/INPI/NO 31/2013, UMA VEZ QUE DIVERSAS REIVINDICACOES APRESENTADAS NA PETICAO NO 870230106439 DE 01/12/2023 NAO POSSUEM A EXPRESSAO CITADA. A EXIGENCIA DEVE SER RESPONDIDA EM ATE 60 (SESSENTA) DIAS DE SUA PUBLICACAO E DEVE SER REALIZADA POR MEIO DA PETICAO GRU CODIGO DE SERVICO 207. |
|
ENP | Entry into the national phase |
Ref document number: 112023016016 Country of ref document: BR Kind code of ref document: A2 Effective date: 20230809 |