CN116050744A - Method for carrying out people on-board presumption calculation on aircraft apron and passenger ladder - Google Patents

Method for carrying out people on-board presumption calculation on aircraft apron and passenger ladder Download PDF

Info

Publication number
CN116050744A
CN116050744A CN202211651084.6A CN202211651084A CN116050744A CN 116050744 A CN116050744 A CN 116050744A CN 202211651084 A CN202211651084 A CN 202211651084A CN 116050744 A CN116050744 A CN 116050744A
Authority
CN
China
Prior art keywords
vehicle
personnel
point
data
processing module
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
CN202211651084.6A
Other languages
Chinese (zh)
Inventor
陈翰
徐立中
张清华
李青波
张城玮
王芳
万焕勇
刘晓疆
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.)
Qingdao Civil Aviation Cares Co ltd
Original Assignee
Qingdao Civil Aviation Cares Co 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 Qingdao Civil Aviation Cares Co ltd filed Critical Qingdao Civil Aviation Cares Co ltd
Priority to CN202211651084.6A priority Critical patent/CN116050744A/en
Publication of CN116050744A publication Critical patent/CN116050744A/en
Pending legal-status Critical Current

Links

Images

Classifications

    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W4/00Services specially adapted for wireless communication networks; Facilities therefor
    • H04W4/02Services making use of location information
    • H04W4/029Location-based management or tracking services
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/06Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063Operations research, analysis or management
    • G06Q10/0631Resource planning, allocation, distributing or scheduling for enterprises or organisations
    • G06Q10/06311Scheduling, planning or task assignment for a person or group
    • G06Q10/063114Status monitoring or status determination for a person or group
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W4/00Services specially adapted for wireless communication networks; Facilities therefor
    • H04W4/02Services making use of location information
    • H04W4/025Services making use of location information using location based information parameters
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W4/00Services specially adapted for wireless communication networks; Facilities therefor
    • H04W4/30Services specially adapted for particular environments, situations or purposes
    • H04W4/40Services specially adapted for particular environments, situations or purposes for vehicles, e.g. vehicle-to-pedestrians [V2P]
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02BCLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
    • Y02B50/00Energy efficient technologies in elevators, escalators and moving walkways, e.g. energy saving or recuperation technologies

Landscapes

  • Business, Economics & Management (AREA)
  • Human Resources & Organizations (AREA)
  • Engineering & Computer Science (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Entrepreneurship & Innovation (AREA)
  • Economics (AREA)
  • Strategic Management (AREA)
  • Development Economics (AREA)
  • Game Theory and Decision Science (AREA)
  • Educational Administration (AREA)
  • Marketing (AREA)
  • Operations Research (AREA)
  • Quality & Reliability (AREA)
  • Tourism & Hospitality (AREA)
  • Physics & Mathematics (AREA)
  • General Business, Economics & Management (AREA)
  • General Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

The invention relates to a method for carrying out human presumption calculation on an aircraft flight passenger ladder, which comprises a vehicle-mounted position returning module, a handheld position returning module and a server processing module, wherein the vehicle-mounted position returning module is used for collecting high-frequency position information of a vehicle and sending the high-frequency position information to the server processing module; the hand-held position feedback module is used for collecting position information with poor hand-held low-frequency precision of a first-line worker and sending the position information to the server processing module; the server processing module is used for acquiring the vehicle and the handheld information and judging whether the personnel are on the specific passenger elevator car. The invention has the advantages that: the method can provide related relation data for downstream system application, can comparatively and timely know the relation between the vehicle and personnel guarantee in the dispatching process of a dispatcher, can better position information of drivers of vehicles against regulations in the aspect of safety supervision of the vehicles against regulations and the like, and provides good support for airport guarantee capacity improvement and more effective safety management.

Description

Method for carrying out people on-board presumption calculation on aircraft apron and passenger ladder
Technical Field
The invention relates to a method for carrying out human-carried presumption calculation on an airport passenger ladder, and belongs to the field of airport operation guarantee.
Background
At present, airport informatization construction is rapidly developed, airport operation efficiency is improved into a development direction by using a new technology, a plurality of airport vehicles are provided with professional vehicle-mounted terminals, high-precision positioning capability is achieved, and first-line operators are provided with professional handheld terminals, so that information receiving and transmitting capability is achieved. However, aiming at vehicle information, only vehicle running information can be acquired, driver and loading personnel information cannot be effectively acquired, most airports rely on communication confirmation of a frequency group interphone, the efficiency is low, and the information cannot be converted into digital information for dispatching planning of a dispatcher.
Disclosure of Invention
In order to overcome the defects of the prior art, the invention relies on personnel to hold the data of the low-frequency position feedback and the high-frequency position feedback of the passenger lift vehicle to carry out logic judgment, and finally determines the information of the driving personnel and the information of the loading personnel, provides the personnel passenger lift vehicle associated information for downstream application, and improves the airport dispatching capability. The invention provides a method for carrying out human presumption calculation on an aircraft landing and passenger ladder, which comprises the following steps:
the on-board passenger ladder vehicle-mounted person presumption computing system comprises a vehicle-mounted position returning module, a handheld position returning module and a server processing module, wherein the vehicle-mounted position returning module is used for collecting high-frequency position information of a vehicle and sending the high-frequency position information to the server processing module; the handheld position feedback module is used for collecting position information with poor frequency accuracy of handheld low-frequency by a first-line worker and sending the position information to the server processing module; the server processing module is used for acquiring the vehicle and the handheld information and judging whether the personnel are on the specific passenger elevator car.
The server processing module comprises a vehicle dynamic list, a first-line personnel dynamic list and a vehicle-personnel relationship dynamic list, wherein the vehicle dynamic list comprises information of each passenger elevator car and dynamic position information; the first-line personnel dynamic list comprises personnel information and dynamic position information, and the vehicle-personnel relationship dynamic list comprises a vehicle-personnel dynamic association relationship.
When the server processing module updates the vehicle state, the new update point data is enabled not to have the jump point problem, and the method specifically comprises the following steps:
let the original point location (px 1, py 1), the existing point location information (px 2, py 2), the transmission interval T, then the two-point distance per second is denoted as D, the specific calculation formula is:
Figure BDA0004010652890000021
wherein r is the earth radius;
when D exceeds the set distance threshold X, namely D > X, the new point location data is considered to be problematic, and the reverse is normal; when abnormal points occur once, the vehicle abnormal marks are accumulated 1, when the accumulated value of the vehicle abnormal marks exceeds a set constant E, the vehicle is marked to be in a vehicle-mounted cold start state, the vehicle personnel association calculation is not participated, after the duration exceeds the set time, the marks are removed, and the latest point position data are put in again; when the point data of the vehicle is lost, accumulating 1 corresponding to the data loss mark of the vehicle, and removing the vehicle from the dynamic vehicle list after the data loss mark exceeds a set constant H;
when the vehicle position is updated, the point position data which is originally to be replaced and updated is stored in a vehicle track data list, and the updated time of the point set is recorded and used as a historical data point set for subsequent calculation.
When the server processing module updates the state of the first-line staff, a mode of calculating the distance of the point line is adopted, specifically:
after the latest personnel position point location data (ppx 1, ppy 1) are acquired, sequentially traversing the vehicle list according to the personnel position point location data time stamp t to acquire point set data of each vehicle from t+S to t-S, wherein S is a set constant parameter, and each vehicle acquires the point set data as follows:
[(cx1,cy1),(cx2,cy2),(cx3,cy3),(cx4,cy4),(cx5,cy5),......];
obtaining the sum L of distances from the personnel position point location data to every two adjacent points of the vehicle one by one:
Figure BDA0004010652890000031
solving a series of personnel position points and L values of every two adjacent points of the vehicle: and L1, L2, L3 and L4.
The specific solving method of the shortest distance of the minimum L value corresponding to the two-point line segments is as follows: assuming that the distance from the position point of the person to the two points is L1, L2 and the distance from the two points is L3, the shortest distance to the point
Figure BDA0004010652890000032
Judging whether the distance is smaller than a set constant Y, if so, considering that the personnel is currently on the vehicle, adding a piece of data to the personnel-vehicle relation dynamic list, and accumulating the state marks by 1;
continuing to judge, and when the subsequent continuous judgment state mark exceeds a set constant A, considering that corresponding personnel are associated with the vehicle;
if the distance between the corresponding vehicle and the person is judged to be greater than a constant Y after the record of the relationship between the vehicle and the person is generated, the negative sign of the association between the vehicle and the person is accumulated by 1, and when the negative sign exceeds a set constant B, the association between the vehicle and the person is considered to be absent, and the record is deleted.
The invention has the advantages that: the estimated dynamic association relation between personnel and the passenger elevator car has very high accuracy in practical application, can provide related relation data for downstream system application, can relatively timely know the relation between the vehicle and the personnel guarantee in the dispatching process of a dispatcher, can better position information of drivers of the illegal vehicles in the aspect of safety supervision of vehicle violations and the like, and provides good support for airport guarantee capability improvement and more effective safety management.
Drawings
Fig. 1 is an overall architecture diagram of the present invention.
Fig. 2 is a schematic diagram of the distance from the point data of the computer to the point data of the vehicle according to the present invention.
Detailed Description
The invention will be further described with reference to specific embodiments, and advantages and features of the invention will become apparent from the description. These examples are merely exemplary and do not limit the scope of the invention in any way. It will be understood by those skilled in the art that various changes and substitutions of details and forms of the technical solution of the present invention may be made without departing from the spirit and scope of the present invention, but these changes and substitutions fall within the scope of the present invention.
Referring to fig. 1 and 2, the invention relates to a passenger estimation computing system on a flight deck elevator, which comprises a vehicle-mounted position return module 1, a handheld position return module 3 and a server processing module 2, wherein the vehicle-mounted position return module 1 is used for collecting high-frequency position information of a vehicle (the interval between the collected vehicle position point data is less than or equal to 1 second) and sending the high-frequency position information to the server processing module 2; the hand-held position return module 3 is used for collecting position information (the data collection interval of the position point position of the hand-held terminal is more than or equal to 30 seconds, the position error is more than or equal to 10 meters) with poor hand-held low-frequency precision of a first-line worker and sending the position information to the server processing module 2; the server processing module 2 is used for acquiring vehicles and handheld information and judging whether personnel are on a specific passenger elevator car.
The server processing module 2 comprises a vehicle dynamic list, a first-line personnel dynamic list and a vehicle-personnel relationship dynamic list, wherein the vehicle dynamic list comprises information of each passenger elevator car and dynamic position information; the first-line personnel dynamic list comprises personnel information and dynamic position information, and the vehicle-personnel relationship dynamic list comprises a vehicle-personnel dynamic association relationship.
When the server processing module 2 updates the vehicle state, the new update point data is enabled not to have the jump point problem, and the method specifically comprises the following steps:
let the original point location (px 1, py 1), the existing point location information (px 2, py 2), the transmission interval T, then the two-point distance per second is denoted as D, the specific calculation formula is:
Figure BDA0004010652890000051
where r is the earth radius.
When D exceeds a set distance threshold X (usually 15 meters), namely D > X, the new point location data is considered to be problematic, and the reverse is normal; when abnormal points occur once, the vehicle abnormal marks are accumulated 1, when the accumulated value of the vehicle abnormal marks exceeds a set constant E, the vehicle is marked to be in a vehicle-mounted cold start state, the vehicle personnel association calculation is not participated, after the duration exceeds the set time, the marks are removed, and the latest point position data are put in again; when the vehicle point data is lost, the corresponding vehicle data loss marks are accumulated by 1, and after the data loss marks exceed a set constant H (usually taken 5 times), the vehicle is removed from the vehicle dynamic list;
when the vehicle position is updated, the point position data which is originally to be replaced and updated is stored in a vehicle track data list, and the updated time of the point set is recorded and used as a historical data point set for subsequent calculation.
When the server processing module updates the state of the first-line staff, a mode of calculating the distance of the point line is adopted, specifically:
after the latest personnel position point location data (ppx 1, ppy 1) are acquired, the vehicle list is traversed in sequence according to the personnel position point location data time stamp t, point set data (S is a set constant parameter and can be adjusted, usually 20 seconds) of each vehicle from t+S to t-S are acquired, and the acquired point set data of each vehicle are recorded as:
[(cx1,cy1),(cx2,cy2),(cx3,cy3),(cx4,cy4),(cx5,cy5),......];
obtaining the sum L of distances from the personnel position point location data to every two adjacent points of the vehicle one by one:
Figure BDA0004010652890000061
solving a series of personnel position points and L values of every two adjacent points of the vehicle: and L1, L2, L3 and L4.
The specific solving method of the shortest distance of the minimum L value corresponding to the two-point line segments is as follows:
assuming that the distance from the position point of the person to the two points is L1, L2 and the distance from the two points is L3, the shortest distance to the point
Figure BDA0004010652890000062
Judging whether the distance is smaller than a set constant Y (usually 15 meters), if so, considering that the personnel is currently on the vehicle, adding a piece of data into a personnel-vehicle relation dynamic list, and accumulating a state mark by 1;
continuing to judge, and when the subsequent continuous judgment state mark exceeds a set constant A (usually 5), considering that the corresponding person is associated with the vehicle;
if the distance between the corresponding vehicle and the person is judged to be greater than a constant Y after the record of the relationship between the vehicle and the person is generated, the negative sign of the association between the vehicle and the person is accumulated by 1, and when the negative sign exceeds a set constant B (usually 5 is taken), the association between the vehicle and the person is considered to be absent, and the record is deleted.
In the field implementation and application process of an airport, the invention relies on a passenger elevator car to install a high-precision vehicle-mounted positioning facility, and provides a vehicle-mounted return data communication network, and the vehicle-mounted positioning facility has the problem of inaccurate positioning in the cold starting process and temporary shielding process of the facility because of the technical characteristics, so that the invention has a related positioning data filtering processing means.
The invention also relies on handheld terminal equipment of first-line operators, in most airports, the passenger elevator car operators can ensure one handheld terminal of the personnel, the handheld terminal is provided with a multidimensional Android operating system, a positioning acquisition program is installed in the handheld terminal, because the positioning, acquisition and return all consume limited electric quantity of the handheld terminal, in actual processing, the data acquisition frequency is reduced, and meanwhile, the data return is carried out by adopting a bottom tcp custom binary protocol, so that the electric quantity consumption is reduced as much as possible, and the positioning data processing is similar to the vehicle-mounted terminal equipment.
The invention has the advantages that a large number of logic judgment calculations depend on direct memory operation, the processing speed is relatively high, in order to ensure that the application does not occupy too much memory, the outdated data is deleted according to the processing logic in time, and in order to reduce the CPU occupation consumption, the related setting constant parameters can be adjusted on the processing logic, so that the calculation times and the calculation data range are smaller, and the overall processing speed is improved.
In the actual apron working site, different workers and different types of operation passenger vehicles, because of different business types, different personnel operation habits and different busyness, a plurality of site different scenes can appear, the invention takes the site different scenes into consideration as much as possible, but in the actual production application, a test and parameter adjustment process is also needed, and parameters are continuously adjusted, so that the passenger-elevator vehicle association relationship judged by the invention is more accurate.
The foregoing is only a preferred embodiment of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art, who is within the scope of the present invention, should make equivalent substitutions or modifications according to the technical scheme of the present invention and the inventive concept thereof, and should be covered by the scope of the present invention.

Claims (5)

1. The on-board passenger ladder vehicle-mounted person presumption computing system is characterized by comprising a vehicle-mounted position returning module, a handheld position returning module and a server processing module, wherein the vehicle-mounted position returning module is used for collecting high-frequency position information of a vehicle and sending the high-frequency position information to the server processing module; the handheld position feedback module is used for collecting position information with poor frequency accuracy of handheld low-frequency by a first-line worker and sending the position information to the server processing module; the server processing module is used for acquiring the vehicle and the handheld information and judging whether the personnel are on the specific passenger elevator car.
2. The method of claim 1, wherein the server processing module comprises a dynamic list of vehicles, a dynamic list of first-line persons, and a dynamic list of vehicle-to-person relationships, the dynamic list of vehicles comprising each passenger car information and dynamic position information; the first-line personnel dynamic list comprises personnel information and dynamic position information, and the vehicle-personnel relationship dynamic list comprises a vehicle-personnel dynamic association relationship.
3. The method for performing passenger estimation calculation on an aircraft landing passenger ladder according to claim 1 or 2, wherein when the server processing module updates the vehicle state, the new update point data is free from jump point problem, and the specific steps are as follows:
let the original point location (px 1, py 1), the existing point location information (px 2, py 2), the transmission interval T, then the two-point distance per second is denoted as D, the specific calculation formula is:
Figure FDA0004010652880000011
wherein r is the earth radius;
when D exceeds the set distance threshold X, namely D > X, the new point location data is considered to be problematic, and the reverse is normal; when abnormal points occur once, the vehicle abnormal marks are accumulated 1, when the accumulated value of the vehicle abnormal marks exceeds a set constant E, the vehicle is marked to be in a vehicle-mounted cold start state, the vehicle personnel association calculation is not participated, after the duration exceeds the set time, the marks are removed, and the latest point position data are put in again; when the point data of the vehicle is lost, accumulating 1 corresponding to the data loss mark of the vehicle, and removing the vehicle from the dynamic vehicle list after the data loss mark exceeds a set constant H;
when the vehicle position is updated, the point position data which is originally to be replaced and updated is stored in a vehicle track data list, and the updated time of the point set is recorded and used as a historical data point set for subsequent calculation.
4. A method for performing on-board human-based estimation calculation on an aircraft landing passenger ladder according to claim 3, wherein when the server processing module performs on-line staff status update, a dotted line distance calculation method is adopted, which specifically includes:
after the latest personnel position point location data (ppx 1, ppy 1) are acquired, sequentially traversing the vehicle list according to the personnel position point location data time stamp t to acquire point set data of each vehicle from t+S to t-S, wherein S is a set constant parameter, and each vehicle acquires the point set data as follows:
[(cx1,cy1),(cx2,cy2),(cx3,cy3),(cx4,cy4),(cx5,cy5),......];
obtaining the sum L of distances from the personnel position point location data to every two adjacent points of the vehicle one by one:
Figure FDA0004010652880000021
solving a series of personnel position points and L values of every two adjacent points of the vehicle: and L1, L2, L3 and L4.
5. The method for performing passenger estimation calculation on an aircraft landing and passenger ladder according to claim 4, wherein the specific solution method of the shortest distance of the minimum L value corresponding to the two-point line segment is as follows:
assuming that the distance from the position point of the person to the two points is L1, L2 and the distance from the two points is L3, the shortest distance to the point
Figure FDA0004010652880000031
Judging whether the distance is smaller than a set constant Y, if so, considering that the personnel is currently on the vehicle, adding a piece of data to the personnel-vehicle relation dynamic list, and accumulating the state marks by 1;
continuing to judge, and when the subsequent continuous judgment state mark exceeds a set constant A, considering that corresponding personnel are associated with the vehicle;
if the distance between the corresponding vehicle and the person is judged to be greater than a constant Y after the record of the relationship between the vehicle and the person is generated, the negative sign of the association between the vehicle and the person is accumulated by 1, and when the negative sign exceeds a set constant B, the association between the vehicle and the person is considered to be absent, and the record is deleted.
CN202211651084.6A 2022-12-21 2022-12-21 Method for carrying out people on-board presumption calculation on aircraft apron and passenger ladder Pending CN116050744A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202211651084.6A CN116050744A (en) 2022-12-21 2022-12-21 Method for carrying out people on-board presumption calculation on aircraft apron and passenger ladder

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202211651084.6A CN116050744A (en) 2022-12-21 2022-12-21 Method for carrying out people on-board presumption calculation on aircraft apron and passenger ladder

Publications (1)

Publication Number Publication Date
CN116050744A true CN116050744A (en) 2023-05-02

Family

ID=86115496

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202211651084.6A Pending CN116050744A (en) 2022-12-21 2022-12-21 Method for carrying out people on-board presumption calculation on aircraft apron and passenger ladder

Country Status (1)

Country Link
CN (1) CN116050744A (en)

Similar Documents

Publication Publication Date Title
CN108242149B (en) Big data analysis method based on traffic data
CN110120153A (en) A kind of public transport drives accident risk assessment system and its method
CN110348614B (en) Method for obtaining passenger OD and method for predicting bus passenger flow
CN104424812B (en) A kind of public transport arrival time forecasting system and method
CN109410568B (en) Get-off site presumption method and system based on user portrait and transfer rule
CN111311467A (en) Bus route prediction method and system based on face recognition
CN102346470A (en) IOT (the Internet of Things)-based comprehensive operation and dispatching management system of engineering machinery
CN102509449A (en) Vehicle scheduling method based on fuzzy decision
CN109903555B (en) Bus passenger getting-off data prediction method and system based on big data
CN110807917A (en) Highway intelligent security system based on cloud calculates
CN111541751B (en) Track monitoring method and device
DE112015000924B4 (en) Target-dependent speed controller
CN114841712B (en) Method and device for determining illegal operation state of network appointment vehicle tour and electronic equipment
CN107038857A (en) A kind of public transport data capture method and public transport data platform
CN113691629A (en) Internet of things data management system based on block chain and edge calculation
CN116050744A (en) Method for carrying out people on-board presumption calculation on aircraft apron and passenger ladder
CN115631002B (en) Computer vision-based intelligent damage assessment method and system for vehicle insurance
CN109087528B (en) Network appointment vehicle parking guidance method, platform and system
CN110363320B (en) Method and device for predicting estimated arrival time and computing equipment
CN116109081A (en) Dynamic bus scheduling optimization method and device based on Internet of things
CN116205460A (en) Bus stop announcement generation method, device and application based on passenger portrait and ETA data
CN115909752A (en) Sharp turn recognition and statistics method based on historical data of vehicle user
US11967239B2 (en) Systems and methods for order dispatching and vehicle repositioning
CN108062858A (en) A kind of combination historic task calculates the algorithm of E.T.A
US9618350B2 (en) Anomaly detection for road user charging systems

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination