EP4330936A1 - Reconnaissance automatisée de fraudeurs aux titres de transport - Google Patents

Reconnaissance automatisée de fraudeurs aux titres de transport

Info

Publication number
EP4330936A1
EP4330936A1 EP22718895.0A EP22718895A EP4330936A1 EP 4330936 A1 EP4330936 A1 EP 4330936A1 EP 22718895 A EP22718895 A EP 22718895A EP 4330936 A1 EP4330936 A1 EP 4330936A1
Authority
EP
European Patent Office
Prior art keywords
ticket
detection system
people
tickets
person
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.)
Pending
Application number
EP22718895.0A
Other languages
German (de)
English (en)
Inventor
Daniel Wolf
Sophia Singer
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.)
ZF Friedrichshafen AG
Original Assignee
ZF Friedrichshafen AG
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
Priority claimed from DE102021208979.8A external-priority patent/DE102021208979A1/de
Application filed by ZF Friedrichshafen AG filed Critical ZF Friedrichshafen AG
Publication of EP4330936A1 publication Critical patent/EP4330936A1/fr
Pending legal-status Critical Current

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
    • G07B15/02—Arrangements or apparatus for collecting fares, tolls or entrance fees at one or more control points taking into account a variable factor such as distance or time, e.g. for passenger transport, parking systems or car rental systems

Definitions

  • the invention relates to an arrangement according to the preamble of claim 1 and a method according to the preamble of claim 8.
  • CiCo and BiBo systems and combinations thereof are known from the prior art. These systems serve to electronically record the tickets of passengers in means of passenger transport.
  • a BiBo system is described in DE 102007 014 528 A1.
  • US 2007 299 722 A2 discloses a method for the automated detection of the use of chargeable means of transport for passenger transport.
  • the system is used to settle a fare.
  • a transmitter is arranged in the area of the means of transport. This sends out data telegrams in the sense of unidirectional communication, which are received by a passenger's end device and further processed.
  • the object of the invention is to improve ticket detection systems known from the prior art for means of passenger transport.
  • This object is achieved by an arrangement according to claim 1 and a method according to claim 8. Preferred developments are contained in the dependent claims and result from the following description.
  • the arrangement according to the invention is used to identify fare dodgers, ie people who do not have a ticket. It includes a ticket registration system. This designates an arrangement which is designed to record the tickets when people enter the means of passenger transport and when they exit the means of passenger transport.
  • a ticket recording system One of the systems described above, known from the prior art, for electronically recording tickets is suitable as a ticket recording system.
  • a ticketing system that records people based on their tickets is not able to recognize fare dodgers.
  • a person detection system is therefore provided as a supplement to the ticket detection system.
  • This refers to an arrangement that is designed to detect people entering and exiting the means of passenger transport independently of their ticket.
  • the person detection system is able to detect people entering and exiting who do not have a ticket. The person detection system thus also detects fare dodgers.
  • the arrangement also includes a means of comparison. This is designed to compare a number of tickets registered by the ticket registration system and a number of persons registered by the person registration system with one another.
  • the number of tickets recorded by the ticket recording system is a number of tickets recorded when the respective person boarded, which were not recorded when they exited. The number of tickets recorded is therefore the difference between the number of tickets recorded when the respective person boarded and the number of tickets recorded when the person exited.
  • the number of persons recorded by the person registration system is a number of persons recorded when boarding who were not yet recorded when exiting. This number results from the difference between the number of people recorded when boarding and a number of people recorded when exiting.
  • a difference between the two numbers corresponds to the number of fare dodgers in the passenger transport. If the difference is zero, ie if the two numbers compared by the comparison means match, it can be assumed that there is no fare dodger in the passenger transport means. If the difference is not zero, targeted passenger checks can be carried out in order to convict fare dodgers.
  • the ticket registration system is preferably further developed to bill the registered tickets.
  • an identifier is recorded when a person enters and exits. It is an identifier that is assigned to the respective person and/or the person's ticket. The identifier in turn is assigned an account from which a suitably defined amount of a means of payment is debited.
  • the amount is determined as a function of a route that was covered by the means of passenger transport between the entry and exit of the respective person.
  • the person detection system is preferably further developed with at least one sensor. This registers people entering and exiting the means of passenger transport.
  • the sensor can be arranged, for example, in the area of a door of the means of passenger transport, so that its detection area at least partially covers an area that people pass when using the door. Proximity sensors or imaging sensors are suitable for this.
  • Imaging sensors can also be used for interior surveillance.
  • one or more imaging sensors are arranged in such a way that they detect at least part of a passenger compartment of the means of passenger transport.
  • One or more images of at least part of the passenger compartment are created by means of the imaging sensors. These images are compared to an image of the empty passenger compartment previously made using the same sensors to identify the occupants of the passenger compartment.
  • people are recorded when boarding and alighting, regardless of their ticket.
  • the persons can be detected using at least one axle or wheel load of the means of passenger transport.
  • the axle or wheel load not only contains a weight component of the means of passenger transport, but also of the people being transported.
  • Entry and exit of people is preferably determined by continuous or repeated measurement of the axle or wheel load. If the axle or wheel load changes by an amount that corresponds to the weight of a person, this indicates that the vehicle has entered or exited the vehicle. If the axle or wheel load increases, a person has entered the means of passenger transport. A corresponding reduction in the axle or wheel load suggests an exit.
  • the person detection system is preferably further developed to localize the person by means of the at least one sensor and/or the at least one axle or wheel load. Localization of the person is possible in different ways, depending on the type of sensor. If it is a door sensor, it can be concluded that the person is in the vicinity of the respective door. The exact whereabouts of the respective person can be determined by means of a sensor for monitoring the interior. The people can also be localized via the axle or wheel load, since depending on the whereabouts of a person within the means of passenger transport, different wheels are affected differently by a change in the wheel load.
  • a method according to the invention corresponds to the method described above, carried out by means of the arrangement according to the invention.
  • FIG. 1 A preferred embodiment of the invention is shown in FIG. 1 in detail shows:
  • Tickets for passengers on a means of passenger transport 101 can be recorded in various ways, for example using a BiBo system 103 or a CiCo System 105. It is also possible to identify the passengers by means of a mobile terminal device 107 and/or by means of biometric and/or imaging sensors 109, which are installed in the means of passenger transport 101 and/or at a stop 111. An electronic ticket - if available - is assigned to each identified terminal.
  • the systems described only record tickets. If a fare dodger enters the means of passenger transport 101, he is not recorded because he does not have a ticket.
  • the means of passenger transport 101 is therefore equipped with additional sensors that detect people independently of their tickets.
  • door sensors 113 are also suitable for detecting fare dodgers. Persons who board the means of passenger transport 101 and exit the means of passenger transport 101 are consequently detected by the door sensors 113 .
  • sensors that are usually present in the chassis 115 of the means of passenger transport 101 .
  • these can be pressure and/or level sensors of the chassis 115 han spindles.
  • the parameters detected by these sensors change as a function of the persons located in the means of passenger transport 101 . From this, the number of people can be deduced.
  • Reference sign means of passenger transport BiBo system Cico system mobile end device biometric and/or imaging sensor bus stop door sensor undercarriage

Abstract

La présente invention concerne un agencement pour reconnaître les personnes utilisant un moyen de transport de passagers (101) sans ticket ; comprenant un système de détection de ticket (103, 105) configuré pour détecter les tickets des personnes montant et descendant du moyen de transport (101). L'agencement comprend un système de détection de personnes et un moyen de comparaison ; le système de détection de personnes est configuré pour détecter des personnes indépendamment de leurs tickets lorsqu'elles montent et descendent du moyen de transport ; et le moyen de comparaison est configuré pour comparer un nombre de tickets détectés par le système de détection de ticket (103, 105) avec un nombre de personnes détectées par le système de détection de personnes.
EP22718895.0A 2021-04-30 2022-03-28 Reconnaissance automatisée de fraudeurs aux titres de transport Pending EP4330936A1 (fr)

Applications Claiming Priority (3)

Application Number Priority Date Filing Date Title
DE102021204321 2021-04-30
DE102021208979.8A DE102021208979A1 (de) 2021-04-30 2021-08-17 Automatisierte Erkennung von Schwarzfahrern
PCT/EP2022/058121 WO2022228804A1 (fr) 2021-04-30 2022-03-28 Reconnaissance automatisée de fraudeurs aux titres de transport

Publications (1)

Publication Number Publication Date
EP4330936A1 true EP4330936A1 (fr) 2024-03-06

Family

ID=81387240

Family Applications (1)

Application Number Title Priority Date Filing Date
EP22718895.0A Pending EP4330936A1 (fr) 2021-04-30 2022-03-28 Reconnaissance automatisée de fraudeurs aux titres de transport

Country Status (2)

Country Link
EP (1) EP4330936A1 (fr)
WO (1) WO2022228804A1 (fr)

Family Cites Families (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP1667074B1 (fr) 2004-12-02 2019-10-30 mcity GmbH Méthode automatique de détecter l'utilisation des vehicules payants et de facturer le prix du voyage
DE102007014528B4 (de) 2007-03-27 2018-07-26 Zeus Systems Gmbh Verfahren zum Identifizieren einer Teilmenge von Positionen
EP2397995B1 (fr) * 2010-06-21 2014-08-20 Eldon Technology Limited Système contrôle l'évasion de tarif
FR3000266B1 (fr) * 2012-12-26 2016-04-29 Thales Sa Procede de lutte contre la fraude, et systeme correspondant
DE102016223637A1 (de) * 2016-11-29 2018-05-30 Siemens Aktiengesellschaft Verfahren und System zur Fahrtberechtigungskontrolle im ÖPNV
DE102020003842A1 (de) * 2020-06-26 2020-10-01 Daimler Ag Assistenzsystem zur Kontrolle gedruckter und/oder digitaler Fahrkarten und/oder Fahrausweise, sowie Verfahren

Also Published As

Publication number Publication date
WO2022228804A1 (fr) 2022-11-03

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