CN101893853A - Judging algorithm of intelligent model-based self-learning human gate passageway - Google Patents

Judging algorithm of intelligent model-based self-learning human gate passageway Download PDF

Info

Publication number
CN101893853A
CN101893853A CN 201010245669 CN201010245669A CN101893853A CN 101893853 A CN101893853 A CN 101893853A CN 201010245669 CN201010245669 CN 201010245669 CN 201010245669 A CN201010245669 A CN 201010245669A CN 101893853 A CN101893853 A CN 101893853A
Authority
CN
China
Prior art keywords
model
gate
passenger
gate passage
self study
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
CN 201010245669
Other languages
Chinese (zh)
Inventor
彭树林
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.)
SUNTEK TECHNOLOGY Co Ltd
Original Assignee
SUNTEK TECHNOLOGY 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 SUNTEK TECHNOLOGY Co Ltd filed Critical SUNTEK TECHNOLOGY Co Ltd
Priority to CN 201010245669 priority Critical patent/CN101893853A/en
Publication of CN101893853A publication Critical patent/CN101893853A/en
Pending legal-status Critical Current

Links

Images

Landscapes

  • Devices For Checking Fares Or Tickets At Control Points (AREA)

Abstract

The invention relates to a judging algorithm of an intelligent model-based self-learning human gate passageway. In the judging algorithm, various models of a gate allowing human bodies to pass through are learned in a learning mode; for valid models, the gate can be passed through legally, while for invalid models, the gate is stopped to pass through; and various gating models are subjected to effective statistics. Simultaneously, due to the adoption of a self-learning intelligent identification method, the judging algorithm are more ergonomic in an intelligent identification aspect and can judge types of the human bodies passing through the passageway continuously and perform accurate statistics on the types so as to meet the management requirements of the gate passageway.

Description

A kind of self study type human body gate passage evaluation algorithm based on model of mind
Technical field
The invention belongs to electronic technology field, particularly a kind of self study human body gate passage evaluation algorithm, and the application of this algorithm in the track traffic automatic ticket checking system based on model of mind.
Technical background
In recent years, subway has become the solution city of each big and medium-sized cities or the main means of suburban traffic, along with the high speed development of urban track traffic, and the significantly increase of the subway volume of the flow of passengers, it is particularly important that the performance of automatic ticket checking system also seems.
Gate is a crucial equipment in the automatic ticket selling system for rail traffic.AT STATION, gate has constituted the crucial together charging gate of subway station.Under normal circumstances, the passenger passes in and out paid area and non-paid area, all must be through gate, so gate is directly in the face of passenger's equipment in AT STATION.Simultaneously because gate has served as the role of charge again, the quality of its operation, not only have influence on numerous passengers over the ground Railway transportation do business and trust and close and friendly degree, more have influence on AFC system user's immediate interest.In existing gate, generally all be that whether the someone judges the pedestrian position by passage area, can not carry out comprehensive and complicated intelligent mode and handle, as the judgement and the counting of passenger type, all kinds of processing of rushing lock and trailing etc.
How to allow quick, safe current of the passenger that holds valid ballot, and reasonably stop passenger who holds invalid ballots and the passenger who attempts to practise fraud, simultaneously, guarantee all passengers' safety, maximum possible stops that illegal passenger is the target of the technology pursue of passenger passageway monitoring.
Progress along with science and technology, the progressively reduction of equipment cost, design a kind of gate that can possess study wisdom and can intelligent study and judge, can legal lockage to effective model, then stop lockage for invalid model, and all kinds of lockage models are effectively added up, be that relevant departments expect, have broad application prospects.
Summary of the invention
The invention provides a kind of method of model of mind, can learn each the anthropoid model that can cross gate by mode of learning, can legal lockage to effective model, then stop lockage for invalid model, and all kinds of lockage models are effectively added up, simultaneously, because the self study intelligent identification Method that adopts, so aspect identification intelligent, more meet ergonomics, constantly can judge the passage human body type of passing through, and can add up accurately, thereby satisfy the management expectancy of gate passage to these types.
AFC (Automatic Fare Collection) gate described in the invention is applied as background with subway, also can be applicable to other place. and in order to realize goal of the invention, the technical scheme of employing is as follows:
Relating to the electron device equipment among the present invention mainly comprises with the lower part:
1. passage correlation type infrared sensor
2. input/output control circuit module
3. fan door mechanism and control circuit module thereof
4. main control unit circuit module
A kind of self study human body gate passage evaluation algorithm based on model of mind, the main correlation type infrared sensor that adopts is as inductive means, with the both sides of infrared sensor distribution with the gate passage, in a side infrared light transmitter is installed, opposite side is installed the infrared light receiver, when being arranged by the gate passage, human body blocks the light of infrared sensor, can detect pedestrian's position at the infrared sensing receiving end, in conjunction with automatic study and the Intelligent Recognition merit that the art of this patent provides, just can solve the identification and the judgement of the current entity of the current gate passage of human body.
Introduce the function of intelligent each ingredient of gate passage of the present invention below.
1. passage infrared sensor
Channel sensor is mainly used in and detects and position and the behavior of monitor passenger in the brake surface passage, to prevent that rogue by bus, if channel sensor detects sharp practice, this behavior will cause warning system to produce audible voice signal and observable wigwag, thus notice station staff.
So channel sensor should have enough quantity and reasonably distribute.The selection of channel sensor should have enough sensitivity, can respond and output signal in the enough short time, simultaneously, can resist the shock and vibration of medium tenacity, and anti-light disturbs.
2. input/output control circuit module
The IO control module comprises logic controller snapping mouth module two parts.Interface module is the communication interface of each hardware, and controller carries out logical operation in order to the control channel sensor logic to the signal of channel sensor and the signal of main control unit, distinguishes the action of passenger under the various situations, under the condition that guarantees safety, drive the opening and closing of fan door then.
3. fan door mechanism
Fan door mechanism is according to the signalizing activity of controller, suitably open with the passenger that guarantees to hold valid ballot by gate, and to close gate current with the passenger of the passenger that prevents to attempt to trail and cheating in good time.
4. main control unit
All subsystems are coordinated and are monitored, guarantee gate as one independently system carry out work.
The passenger passageway principle of design of AFC (Automatic Fare Collection) gate described in the invention is: the AFC (Automatic Fare Collection) gate comes the folding of control gate by the legitimacy that reads and verify ticket, show the situation that the passenger passes through by the channel sensor prison, and utilize the model of mind of having set up to analyze, the passenger who normally takes ticket can pass through smoothly, the improper passenger who takes ticket will be prevented from, notify alarm device in case of necessity, thereby reach the purpose of control passenger turnover.
The logic of AFC system gate and basic function design are as follows based on general applications:
Such as single passenger, a plurality of passengers trail, and swarm in the other direction, are lower than the children and the safety thereof of 0.9 meter height, pregnant woman, bosom and traction child's passenger, and it is designed to carry various traveller's problems such as passenger.
If any conflict is arranged between the various functions, preferentially consider following factor successively:
Security, high by handling capacity, can detect and fish in troubled waters and the passenger of other fraud, can detect and swarm into passenger etc. the other way around.
For example:, the defensive measure of the situation of trailing is depended on intruder's speed whether can in time arrive the place of safety based on security consideration.As long as any one sensor in the place of safety is blocked, fan goalkeeper can not close, even cracker is arranged.
For example: carry small children and enter the gate passage when the passenger passageway supervisory system detects adult-passenger, and adult-passenger left passage, but child does not leave passage, fan goalkeeper and can not close this moment.
The present invention relates to modelling and state machine evaluation algorithm and passage intelligent algorithm, its principle is described below respectively.
The logical model of intelligence is the core of the art of this patent, can be by manually setting up model in advance, also can set up model by the self study pattern by the gate intelligence software, modelling and come into force after, the passenger passageway supervisory system of AGM just can be monitored the passenger type of gate passage by the model of having set up, according to preliminary project, need make labor to the passenger passageway supervisory system under the various passages, and all kinds of analysis results are handled accordingly.
The artificial model of setting up in advance is the state that preliminary election defines dissimilar passengers infrared sensor when current, model M (S1 ~ S16) expression, wherein S1 ~ S16 represents the state of 16 sensors, the correlation sensor does not have to block with 0 to be represented, block with 1 and represent, S1 is blocked as infrared sensor, remaining sensor does not have and blocks, then be expressed as M (1000000000000000), the software way of realization can be not limited thereto form, according to this rule, can monitor in gate passage zones of different the passenger, example is as follows:
The passenger normally passes through the model of gate passage:
Go into lock and enter detection zone: M (1110000000000000)
Enter surveillance zone: M (0001100000000000)
Enter the place of safety: M (0000011111100000)
Enter surveillance zone: M (0000000000011000) in the other direction
Enter out lock district: M (0000000000000111)
Illustrate: in above model, the sensor of corresponding surveillance zone may be a partial occlusion, need carry out intellectual analysis by software, as is to be blocked from first sensor when going into lock, may be that last sensor is blocked etc. when closing on lock.
The invention provides some reference models but be not limited to these models, concrete model is looked actual conditions and is defined, and can divide into groups to model, with validation model with illegally distinguished, main models is defined as follows:
1. the model of being open to the custom under the single normal condition of passenger;
2. various different passengers comprise the adult, children, and the pregnant woman, height passengers etc. are open to the custom;
3. the behavior of different passengers when being open to the custom;
4. the passenger carries different luggage;
5. the passenger trails phenomenon, fraud;
6. children passenger;
7. many passengers phenomenon of being open to the custom;
8. passenger model in the other direction;
Utilize self-learning function to set up model, gate is under manually-operated, enter into the self study pattern, operation self study intelligence software module is carried out the lockage rehearsal by passenger's lockage mode of preliminary election imagination, in the rehearsal process, the logical software of intelligence obtains model, and be saved in the corresponding model group, rehearsal can repeatedly repeat, to improve the accuracy of model.
In addition, the invention still further relates to state machine conversion evaluation algorithm.The passenger is handled by channel monitoring software by the process of gate passage, a kind of state machine mode that the entire process process provides based on the art of this patent, the conversion process of state when passenger's lockage only being described here, other professional relevant action not, state is corresponding with subregion side, be divided into 5 kinds of states, be defined as follows by sequence number:
Detection zone------------------No. 1 state
Surveillance zone------------------No. 2 states
Place of safety------------------No. 3 states
Opposite direction surveillance zone------------No. 4 states
------------------No. 5 states that go out the lock district
State machine conversion by as the rule of Fig. 1, expression state defined above number in the circle, the arrow of outside is represented the direction of state transition.
State exchange is described as follows:
Detection zone is corresponding to No. 1 state, under this state, if the passenger enters into surveillance zone, state transition to 2 state then, the saltus step action is corresponding to advancing 1, if but the passenger withdraw from, still be retained in state No. 1, saltus step is moved corresponding to moving back 1.
Surveillance zone is corresponding to No. 2 states, under this state, if the passenger enters into the place of safety, state transition to 3 state then, the saltus step action is corresponding to advancing 2, if but the passenger retreat, then enter state No. 1, saltus step is moved corresponding to moving back 2.
The place of safety is corresponding to No. 3 states, under this state, if the passenger enters into surveillance zone in the other direction, state transition to 4 state then, the saltus step action is corresponding to advancing 3, if but the passenger retreat, then enter state No. 2, saltus step is moved corresponding to moving back 3.
In the other direction surveillance zone is corresponding to No. 4 states, under this state, if the passenger enters into out the lock district, state transition to 5 state then, the saltus step action is corresponding to advancing 4, if but the passenger retreat, then enter state No. 3, saltus step is moved corresponding to moving back 4.
Go out the lock district corresponding to No. 5 states, under this state, if the passenger goes out lock, state transition to 1 state then, the saltus step action is corresponding to advancing 5, if but the passenger retreat, then enter state No. 4, saltus step is moved corresponding to moving back 5.
Under any state, if no any blocking in the passage then directly gets the hang of 1, this situation is present in the passenger from the tripping operation of gate top, belongs to the abnormality disposition.
Above state transition is decided on concrete business need, may have different adjustment, gets the hang of sometimes 4 o'clock, also can not allow the passenger return.
Gate passage intelligent algorithm is the core of gate channel management, utilize the present invention state machine mechanism of describing and the model of mind of being set up, according to the concrete condition of gate in real-time working, make intellectual analysis and processing, reach the required gate passage intelligent management function of practical business.
Gate channel service Treatment Analysis designs according to gate channel management actual needs, and the situation analyzing examples that the gate passage is open to the custom is as follows, but is not limited to these forms:
1. single passenger normally is open to the custom---to enter the station as the passenger, when showing valid ballot, gate fan door is opened.The passenger passes through the fan door in official hour.Admission passage, shift near fan door->by fan and place of safety-->walk out passage;
2. many passengers of valid ballot---normally being open to the custom, many passengers swipe the card and pass through successively;
3. the invalid ballots passenger is entered the station--and the passenger makes a breakthrough, and the fan door is not opened;
4. passenger under effective ticket disposition is not entered the station, be defined as the passenger and make a breakthrough, the fan door is not opened;
5. judge and trail swindle, the fan door is not opened, but the ticket of trailing is identified, and then allows its people from Anduo County pass through.
6. oppositely break in the notice alarm;
The duplex channel both sides all have simultaneously legal passenger attempt by the time, it is preferential to read ticket earlier, the opposite end is suspended and is read ticket;
8. children do not have the identification that ticket is made a breakthrough;
9. pregnant woman or fat passenger are current separately;
10. children and adult go together and are open to the custom;
11. the passenger pushes away perambulator and normally is open to the custom;
12. carry the passenger of luggage, luggage is forward and backward puts processing.
Description of drawings
In order to be illustrated more clearly in the embodiment of the invention or technical scheme of the prior art, to do to introduce simply to the accompanying drawing of required use in embodiment or the description of the Prior Art below, apparently, accompanying drawing in describing below only is some embodiments of the present invention, for those of ordinary skills, under the prerequisite of not paying creative work, can also obtain other accompanying drawing according to these accompanying drawings.
Fig. 1 is a state machine conversion synoptic diagram of the present invention;
Fig. 2 is a gate correlation synoptic diagram of the present invention;
Fig. 3 is the current synoptic diagram of passage of the present invention;
Fig. 4 is sensing station of the present invention and disposes synoptic diagram;
Fig. 5 is sensing station of the present invention and zoning plan.
Embodiment
For quote and know for the purpose of, hereinafter the technical term of Shi Yonging, write a Chinese character in simplified form or abridge and be summarized as follows:
AFC:Automatic Fare Collection AFC (Automatic Fare Collection);
AGM:Automatic Gate Machine self-shooter machine;
Below in conjunction with the accompanying drawing in the embodiment of the invention, the technical scheme in the embodiment of the invention is clearly and completely described, obviously, described embodiment only is the present invention's part embodiment, rather than whole embodiment.Based on the embodiment among the present invention, those of ordinary skills are not making the every other embodiment that is obtained under the creative work prerequisite, and the subordinate is in the scope of protection of the invention.
As shown in Figure 2, be referred to as local gate there being ticket to reclaim a side, infrared remote receiver is installed, the gate of the passage other end is referred to as long-range gate, what install in long-range gate side is infrared transmitter, and the local gate of hereinafter quoting, long-range gate all are referring to this definition.
As shown in Figure 3, because the designing requirement of the current identification of gate passage, the division of design is represented with passage.The gate passage is made up of two adjacent gates.Two gate fan Men Xiangzhong that form passage extend, and have formed the gate of passage.Channels designs adopts the right-hand operated rule, when the passenger passes in and out the station, need operate passage right-hand side gate read write line.
Each AFC (Automatic Fare Collection) gate is divided into two sides by channel centerline: this ground and long-range.This locality of this gate and the remote side of another gate constitute a passage.The local side of gate has comprised the main hardware of all control passenger access ways, and he also can control the electronic unit and the fan door of the long-range side of the gate relative with it simultaneously.
AFC (Automatic Fare Collection) gate passage is provided with 16 pairs of correlation type sensors, by the side of the brake surface of distribution shown in Figure 4, is used for the action of monitored passenger during by the gate passageway, and sensor logic can be to passenger and hand-held object district part of certain altitude.The sensor of arranging on long-range gate is a transmitter, and the sensor of arranging on local gate is a receiver, and below this paper, all sensor code names all refer to the sensor (receiver) arranged on the local gate.
To every kind of passage (enter the station, departures, two-way), 16 sensors will be divided into five districts according to a passage and a fan door position, as shown in Figure 5, be the subregion synoptic diagram of progress passage and departures passage.
Wherein, passage enters the station: S1, S2 are detection zone, and S3, S4, S5, S6, S8 are surveillance zone, and S6, S7, S8, S9, S10, S11, S12 are the place of safety, and S10, S11, S12, S13, S14 are the opposite direction surveillance zone, and S15, S16 are for going out the lock district.
Departures passage: S16, S15 are detection zone, and S14, S13, S12, S11 are surveillance zone, and S12, S11, S10, S9, S8, S7, S6 are the place of safety, and S9, S8, S7, S6, S5, S4 are the opposite direction surveillance zone,
S2, S1 are for going out the lock district.
Channel sensor is mainly used in the action that detects and monitor by the passenger in gate passageway, rides to prevent rogue, and guarantees normally being open to the custom of effective passenger.If sensor is advanced the lock behavior to wrongful, this behavior will cause warning system to produce one hearing, observable alerting signal, thus reach notice station staff's purpose, so that the station staff takes effective measures.
To the above-mentioned explanation of the disclosed embodiments, make this area professional and technical personnel can realize or use the present invention.Multiple modification to these embodiment will be conspicuous concerning those skilled in the art, and defined herein General Principle can realize under the situation that does not break away from the spirit or scope of the present invention in other embodiments.Therefore, the present invention will can not be restricted to these embodiment shown in this article, but will meet and principle disclosed herein and features of novelty the wideest corresponding to scope.

Claims (6)

1. the self study human body gate passage evaluation algorithm based on model of mind is characterized in that using 16 pairs of sensors, adopts the correlation mode, be distributed in gate passage both sides, transmitter is distributed in a side, and receiver is distributed in opposite side, and is not limited only to the sensor of this form and quantity;
2. self study human body gate passage evaluation algorithm according to claim 1, its feature adopt the distribution mode of pressing two rows branch position relation at 16 pairs of sensors that use;
3. the self study human body gate passage evaluation algorithm based on model of mind is characterized in that adopting the area dividing mode, and the gate passage is divided into detection zone, surveillance zone, and the place of safety, surveillance zone goes out 5 districts such as lock district in the other direction;
4. self study human body gate passage evaluation algorithm based on model of mind is characterized in that adopting a kind of by the self study mode and set up the method for model in advance, sets up and model of cognition by the self study mode, and can constantly expand the model of cognition storehouse;
5. the self study human body gate passage evaluation algorithm based on model of mind is characterized in that utilizing gate passage intelligent algorithm to finish the accurate identification of model, and may expand and correction by model;
6. self study human body gate passage evaluation algorithm based on model of mind, it is characterized in that using a kind of mechanism of utilizing state machine to handle, whole recognizer is utilized state machine to finish the overall process of all kinds of entities by gate is monitored based on defined a kind of state machine mechanism.
CN 201010245669 2010-08-05 2010-08-05 Judging algorithm of intelligent model-based self-learning human gate passageway Pending CN101893853A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN 201010245669 CN101893853A (en) 2010-08-05 2010-08-05 Judging algorithm of intelligent model-based self-learning human gate passageway

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN 201010245669 CN101893853A (en) 2010-08-05 2010-08-05 Judging algorithm of intelligent model-based self-learning human gate passageway

Publications (1)

Publication Number Publication Date
CN101893853A true CN101893853A (en) 2010-11-24

Family

ID=43103076

Family Applications (1)

Application Number Title Priority Date Filing Date
CN 201010245669 Pending CN101893853A (en) 2010-08-05 2010-08-05 Judging algorithm of intelligent model-based self-learning human gate passageway

Country Status (1)

Country Link
CN (1) CN101893853A (en)

Cited By (13)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102298339A (en) * 2011-06-08 2011-12-28 重庆金美通信有限责任公司 Brake machine passing control method based on logical table driven method
CN102819882A (en) * 2012-07-25 2012-12-12 江苏汉武智能科技有限公司 Identification control system and identification method for passing objects in automatic ticket inspection pedestrian passageway
CN102945573A (en) * 2012-10-09 2013-02-27 上海大学 Intelligent door-type automatic ticket checker
CN103279994A (en) * 2013-06-19 2013-09-04 南京理工大学连云港研究院 Gate ticket checking device and judgment method thereof
CN103678748A (en) * 2012-09-24 2014-03-26 重庆金美通信有限责任公司 Gate modeling method based on virtual reality technology and automatic code generation technology
CN103793958A (en) * 2012-10-29 2014-05-14 山东新北洋信息技术股份有限公司 Automatic ticket checking method and automatic ticket checking apparatus
CN105354898A (en) * 2015-09-10 2016-02-24 北京中软万维网络技术有限公司 Scissor-like door gate transit logic identification device and method
CN106780784A (en) * 2016-11-21 2017-05-31 河南辉煌城轨科技有限公司 A kind of outbound retain card solution of urban track traffic
CN106803296A (en) * 2017-01-12 2017-06-06 南京工程学院 The checking system and method for the current logic of subway gate system that actual situation is combined
TWI661362B (en) * 2016-12-26 2019-06-01 大陸商航天信息股份有限公司 Anti-following detecting system and method of a single-pass channel
CN112950822A (en) * 2021-02-05 2021-06-11 北京轨道交通路网管理有限公司 Automatic identification system and method for gate passing logic
CN113870472A (en) * 2021-10-20 2021-12-31 北京中成科信科技发展有限公司 Automatic swing gate system
CN114005204A (en) * 2021-10-26 2022-02-01 浙江理工大学 Gate passing logic algorithm based on LS-SVM

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1787016A (en) * 2005-11-18 2006-06-14 南京熊猫机电仪技术有限公司 Method for assembling sensor for controlling door leaf in ticket checking system
CN1932888A (en) * 2006-09-28 2007-03-21 广州市地下铁道总公司 Pedestrian passing identifying method and apparatus for gate type brake machine
CN101482981A (en) * 2008-04-09 2009-07-15 天津市先志越洋科技有限公司 License event recognition method for special shearing type door gate machine used in urban track traffic
CN201531001U (en) * 2009-09-03 2010-07-21 上海永久自行车有限公司 Latch machine

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1787016A (en) * 2005-11-18 2006-06-14 南京熊猫机电仪技术有限公司 Method for assembling sensor for controlling door leaf in ticket checking system
CN1932888A (en) * 2006-09-28 2007-03-21 广州市地下铁道总公司 Pedestrian passing identifying method and apparatus for gate type brake machine
CN101482981A (en) * 2008-04-09 2009-07-15 天津市先志越洋科技有限公司 License event recognition method for special shearing type door gate machine used in urban track traffic
CN201531001U (en) * 2009-09-03 2010-07-21 上海永久自行车有限公司 Latch machine

Cited By (17)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102298339A (en) * 2011-06-08 2011-12-28 重庆金美通信有限责任公司 Brake machine passing control method based on logical table driven method
CN102819882B (en) * 2012-07-25 2015-05-06 江苏汉武智能科技有限公司 Identification control system and identification method for passing objects in automatic ticket inspection pedestrian passageway
CN102819882A (en) * 2012-07-25 2012-12-12 江苏汉武智能科技有限公司 Identification control system and identification method for passing objects in automatic ticket inspection pedestrian passageway
CN103678748A (en) * 2012-09-24 2014-03-26 重庆金美通信有限责任公司 Gate modeling method based on virtual reality technology and automatic code generation technology
CN102945573A (en) * 2012-10-09 2013-02-27 上海大学 Intelligent door-type automatic ticket checker
CN103793958B (en) * 2012-10-29 2016-03-16 山东新北洋信息技术股份有限公司 Automatic ticket checking method and ticket-checking machine
CN103793958A (en) * 2012-10-29 2014-05-14 山东新北洋信息技术股份有限公司 Automatic ticket checking method and automatic ticket checking apparatus
CN103279994A (en) * 2013-06-19 2013-09-04 南京理工大学连云港研究院 Gate ticket checking device and judgment method thereof
CN105354898A (en) * 2015-09-10 2016-02-24 北京中软万维网络技术有限公司 Scissor-like door gate transit logic identification device and method
CN106780784A (en) * 2016-11-21 2017-05-31 河南辉煌城轨科技有限公司 A kind of outbound retain card solution of urban track traffic
CN106780784B (en) * 2016-11-21 2019-07-16 河南辉煌城轨科技有限公司 A kind of outbound retain card solution of urban track traffic
TWI661362B (en) * 2016-12-26 2019-06-01 大陸商航天信息股份有限公司 Anti-following detecting system and method of a single-pass channel
CN106803296A (en) * 2017-01-12 2017-06-06 南京工程学院 The checking system and method for the current logic of subway gate system that actual situation is combined
CN106803296B (en) * 2017-01-12 2019-04-23 南京工程学院 The verifying system and method for the current logic of the subway gate system that actual situation combines
CN112950822A (en) * 2021-02-05 2021-06-11 北京轨道交通路网管理有限公司 Automatic identification system and method for gate passing logic
CN113870472A (en) * 2021-10-20 2021-12-31 北京中成科信科技发展有限公司 Automatic swing gate system
CN114005204A (en) * 2021-10-26 2022-02-01 浙江理工大学 Gate passing logic algorithm based on LS-SVM

Similar Documents

Publication Publication Date Title
CN101893853A (en) Judging algorithm of intelligent model-based self-learning human gate passageway
CN102819882B (en) Identification control system and identification method for passing objects in automatic ticket inspection pedestrian passageway
CN103886756B (en) Based on the freeway network method for detecting operation state of OBU
CN105354898A (en) Scissor-like door gate transit logic identification device and method
CN106384537A (en) Parking lot management system based on video technology
CN101763720B (en) Slope turn traffic command system based on wireless sensor network
CN102411767A (en) Construction site intelligent monitoring system and method based on internet of things
CN206097259U (en) Channel gate
CN205050222U (en) Cut current logical recognition device of formula gate machine
CN201397527Y (en) RFID intelligent channel management system
CN102855508A (en) Opening type campus anti-following system
CN202351685U (en) Subway automatic frequency control (AFC) passenger traffic control system
CN102750747A (en) Wireless unmanned parking lot management system
CN105139670A (en) Video-based regional self-optimizing signal control method and apparatus
CN111724592B (en) Highway traffic jam detection method based on charging data and checkpoint data
CN203573117U (en) BRT bus rapid transit ticket gate intelligent control system based on human body detection
CN101482981A (en) License event recognition method for special shearing type door gate machine used in urban track traffic
CN203941595U (en) The anti-electronic alarm device of stealing a ride of a kind of subway
CN108694749A (en) A kind of identification of Expressway Multi-path and traffic state estimation method and its system
CN102521976B (en) Passenger flow identification and induction method of integrated passenger transport hub and system thereof
CN207817799U (en) A kind of highway ETC rubs card detection and alarm system
CN207946850U (en) Subway crowding control system
CN206752357U (en) A kind of double-gate pass gates
CN103279994A (en) Gate ticket checking device and judgment method thereof
CN103021090A (en) Intelligent parking system and method for vehicles

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
C10 Entry into substantive examination
SE01 Entry into force of request for substantive examination
C12 Rejection of a patent application after its publication
RJ01 Rejection of invention patent application after publication

Application publication date: 20101124