CN113674538A - Section flow monitoring system - Google Patents
Section flow monitoring system Download PDFInfo
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- CN113674538A CN113674538A CN202110907077.7A CN202110907077A CN113674538A CN 113674538 A CN113674538 A CN 113674538A CN 202110907077 A CN202110907077 A CN 202110907077A CN 113674538 A CN113674538 A CN 113674538A
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/065—Traffic control systems for road vehicles by counting the vehicles in a section of the road or in a parking area, i.e. comparing incoming count with outgoing count
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
- G08G1/0125—Traffic data processing
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
- G08G1/0125—Traffic data processing
- G08G1/0129—Traffic data processing for creating historical data or processing based on historical data
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
- G08G1/0137—Measuring and analyzing of parameters relative to traffic conditions for specific applications
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Abstract
The invention discloses a section flow monitoring system, which belongs to the field of traffic flow monitoring and comprises the steps of data acquisition, system database construction, original data processing, target data operation and front-end interface display, wherein a system database DBS = { yj _ section _ numeber _1, yj _ range _ road _ count, yj _ range _ day _ count and yj _ section _ base }, wherein yj _ section _ number _1 represents a section flow statistical table, yj _ range _ road _ count represents a hub real-time flow table, yj _ range _ day _ count represents a hub history flow table, and yj _ section _ base represents a section basic information table; and collecting the data of the full-line ETC portal frame in real time through a data center. According to the invention, the acquired data is processed through an algorithm, so that a relatively accurate time-share report of the section flow of the main line, the section flow of the junction, the flow of the toll station and the section flow data can be provided in real time, and the conditions of low operation management efficiency and traffic jam caused by lagging section flow information are avoided; the historical trend of the section flow of the road section and the total flow arrangement of the section flow of the road section are provided, and the condition that abnormal traffic is not found timely can be avoided.
Description
Technical Field
The invention relates to the technical field of traffic flow monitoring, in particular to a section flow monitoring system.
Background
With the prevalence of economic development and self-driving travel, provincial stations are cancelled in the whole country in 2019, ETC portal frame sectional charging is adopted, and the construction of ETC portal frames is not implemented on many roads, so that the road traffic pressure with large traffic flow becomes more serious all the time, and the road expansion is increased, so that it is obvious that accurately obtaining fine section flow is an important reference index for analyzing traffic jam, relieving traffic pressure and improving operation management efficiency.
However, the section flow monitoring proposed in the market at present is mainly performed by a vehicle-mounted device, the real-time performance of the section flow data is to be improved, and most of the section flow monitoring systems do not consider the requirements of using clients, so that it can be seen that the real-time performance of the section flow monitoring has an important influence on future traffic planning and needs to be integrated with the real-time performance of section flow data acquisition, so that the section flow monitoring system proposed needs to utilize data and use the requirements of the clients.
Therefore, the section flow monitoring system can meet the working requirements of operation managers, avoid resource waste and repeated labor, further improve the operation management efficiency, relieve traffic congestion and further improve the service level.
Disclosure of Invention
The invention aims to provide a cross-section flow monitoring system to solve the problems that the real-time performance of cross-section flow data proposed in the background art needs to be improved, and most of cross-section flow monitoring systems do not consider the requirements of clients, so that the influence caused by the lag of the existing cross-section flow information can be comprehensively considered, and the operation management efficiency and the service level are further improved.
In order to achieve the purpose, the invention provides the following technical scheme: an intelligent active management and control platform for a highway comprises the following steps of data acquisition, system database construction, original data processing, target data operation and front-end interface display:
(a) collecting data and constructing a system database; the system database DBS { (yj _ section _ number _1, yj _ change _ hour _ count, yj _ change _ day _ count, yj _ section _ base }, where yj _ section _ number _1 represents a section flow statistical table, yj _ change _ home _ count represents a hub real-time flow table, yj _ change _ day _ count represents a hub historical flow table, and yj _ section _ base represents a section base information table; the method comprises the steps that full-line ETC portal data, adjacent ETC portal data and toll station transaction data are collected in real time through a data center and stored to a system database DBS in real time;
(b) processing original data; carrying out de-duplication and classification processing on the collected original data to form effective intermediate data, wherein the effective data can be divided into Qs、Qtn、Qtx、Qh、QeWherein Q issIndicating provincial traffic, QsIndicating toll station entry flow, QsIndicating toll station outlet flow, QsIndicating hub flow, QsRepresenting main line portal flow;
(c) calculating target data; to further refine the cross-sectional flow, the cross-sectional flow is divided into Qsx、Qnh、Qhx、Qex、QenWherein Q issxIndicating provincial-toll station section flow, QnhIndicating toll station-hub section flow, QhxIndicating hub-toll station cross-sectional flow, QexIndicating toll station-toll station cross-sectional flow, QenRepresenting toll booth-main line portal traffic;
(d) displaying a front-end interface; the initialization display interface calls a function set F ═ initMap, initInput, right _ left, bindEvents and remindInfo, wherein the function initMap represents a construction layout function, the function initInput represents an initialization input function, the function right _ left represents a data display function, the function bindEvents represents an event binding function, and the function remindInfo represents an information recording function.
Preferably, in the step (a), yj _ section _ number _1 includes id of an associated basic information table, a section flow name, a section direction, a section traffic number, and a data delivery time, yj _ change _ road _ count includes a hub name, a hub direction, a data delivery time, and a hub flow, yj _ change _ day _ count includes a hub name, a hub direction, a data delivery time, and a hub flow, and yj _ section _ base includes a station serial number, a cpc station, an etc. station, a section name, an access direction, and a remark.
Preferably, in the step (b), the classification of the flow data needs to be performed according to the data source; yj _ section _ number _1 removes the same data by comparing the data field contents, yj _ change _ home _ count removes the same data by comparing the data field contents, yj _ change _ day _ count removes the same data by comparing the data field contents, and yj _ section _ base removes the same data by comparing the data field contents.
Preferably, in the step (c), the target data is calculated, and a calculation method of each target data is determined, specifically:
(c-1) judging whether vehicles are vehicles going out in the same direction or not through the license plate by combining the route map and the data acquisition information, and determining section flow Q of the provincial boundary-toll stationsx；Qsx＝Qs-Qtx。
(c-2) judging the entrance traffic flow of the toll station according to the exit license plate in the same direction, judging the traffic flow in the junction direction through the portal frame license plate of the intersected junction road, and determining the junction section flow Q of the toll stationnh：Qnh＝Qe+Qtn-Qh。
(c-3) determining vehicles in all directions of the corresponding junction by acquiring the number plate data of the portal frame of the crossed junction road, then matching the data of the exit or the data of the exit of the toll station in the same direction, wherein the time is delayed because the main line has no portal frame identification and can only be calculated through the exit, the flow is added to each section through which the vehicles pass by acquiring the data of the exit, and the flow Q of the section of the junction-toll station is calculatedhx：Qhx＝Qe+Qh。
(c-4) judging whether the vehicles are vehicles going out in the same direction or not through the license plate to determine a toll station-toll station section flow Qex：Qex＝Qe-Qtx。
(c-5) determining toll booth-main line portal flow Q by matching the main line portal data with the entrance vehicleen：Qen＝Qe+Qtn。
Preferably, in the step (d), a front-end display page of the cross-section flow monitoring system of the central data is constructed, and the called function is defined, specifically:
(d-1) comprehensively considering the requirements of the client used by the cross-section flow monitoring system, and realizing the page layout of the cross-section flow monitoring system through a function initMap;
(d-1-1) executing a script code by using window.
(d-1-2) initializing the date of the selected tag through xinchframe.
(d-1-3) extracting each label by using a selector, and then setting the length and the width of the extracted label to complete the length and the width setting of each page;
(d-2) filling the function xinchframe.tools into a front-end display interface by acquiring the section flow data stored by the DBS, and displaying corresponding flow to a user to realize initialization input;
(d-3) comprehensively considering the requirements of the client used by the cross-section flow monitoring system, and realizing data display of the cross-section flow monitoring system through a function right _ left;
(d-3-1) extracting the form label through a selector, and clearing the data of the selected form by using an empty method;
(d-3-2) by sending a request to the background, the request body contains the time parameter, and after the request is successful, a response data is obtained. When the data length is not empty, intercepting a character string containing time data, judging whether the character string is equal to '00: 00: 00', and if so, updating the time by intercepting the character; if not, the time is not updated; traversing the data by using a for cycle, and constructing a table to display information; when the data length is empty, the front-end page shows that 'no relevant information currently';
(d-3-3) selecting a table label through a selector, and constructing a section flow data table according to the extracted label;
and (d-3-4) constructing a page to prompt a user whether to export the cross section flow data, defining a form, updating the form information, and submitting the form to a background for data export processing by a Post method.
Compared with the prior art, the invention has the beneficial effects that: the section flow monitoring system;
1. the collected data is processed through the algorithm, so that a relatively accurate time-share report of the section flow of the main line, the section flow of the junction, the flow of the toll station and the section flow data can be provided in real time, and the conditions of low operation management efficiency and traffic jam caused by lagging section flow information are avoided.
2. The historical trend of the section flow of the road section and the total flow arrangement of the section flow of the road section are provided, and the condition that abnormal traffic is not found timely can be avoided.
Drawings
FIG. 1 is a schematic of the main process of the present invention;
FIG. 2 is a schematic diagram of a system database class of the present invention;
FIG. 3 is a schematic illustration of a presentation data flow of the present invention;
FIG. 4 is a schematic diagram of the data export process of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1-4, the present invention provides a technical solution: a section flow monitoring system comprises data acquisition, system database construction, original data processing, target data operation and front-end interface display, and comprises the following steps:
step a: collecting data and constructing a system database; a system database DBS ═ yj _ section _ number _1, yj _ change _ home _ count, yj _ change _ day _ count, yj _ change _ base } (as shown in fig. 2), wherein yj _ section _ number _1 represents a cross-section flow statistical table including id of an associated base information table, cross-section flow name, cross-section direction, cross-section traffic number, and data delivery time, yj _ change _ home _ count represents a hub real-time flow table including hub name, hub direction, data delivery time, and hub flow, yj _ change _ day _ count represents a hub history flow table including hub name, hub direction, data delivery time, and hub flow, and yj _ section _ base represents a cross-section base information table including port serial number, cpc station, etc., cross-section name, remark cross-section direction, and remark base; the method comprises the steps that full-line ETC portal data, adjacent ETC portal data and toll station transaction data are collected in real time through a data center and stored to a system database DBS in real time;
step b: processing original data; carrying out de-duplication and classification processing on the collected original data to form effective intermediate data, wherein the effective data can be divided into Qs、Qtn、Qtx、Qh、QeWherein Q issIndicating provincial traffic, QsIndicating toll station entry flow, QsIndicating toll station outlet flow, QsIndicating hub flow, QsRepresenting main line portal flow; classifying the flow data according to a data source; yj _ section _ number _1 removes the same data by comparing the data field contents, yj _ change _ home _ count removes the same data by comparing the data field contents, yj _ change _ day _ count removes the same data by comparing the data field contents, and yj _ section _ base removes the same data by comparing the data field contents;
step c: calculating target data; to further refine the cross-sectional flow, the cross-sectional flow is divided into Qsx、Qnh、Qhx、Qex、QenWherein Q issxIndicating provincial-toll station section flow, QnhIndicating toll station-hub section flow, QhxIndicating hub-toll station cross-sectional flow, QexIndicating toll station-toll station cross-sectional flow, QenRepresenting toll booth-main line portal traffic; determining a calculation method of each target data;
step c-1: determining section flow Q of provincial boundary-toll station by judging whether vehicles are vehicles coming out in the same direction or not through license plates in combination with route maps and data acquisition informationsx；Qsx＝Qs-Qtx。
Step c-2: judging the traffic flow at the entrance of the toll station according to the license plate at the exit in the same direction, judging the traffic flow in the junction direction through the license plate of the portal frame of the intersected junction road, and determining the flow Q of the junction section of the toll station and the junctionnh：
Qnh＝Qe+Qtn-Qh。
Step c-3: determining vehicles in all directions of a corresponding junction by acquiring the number plate data of portal frames of intersecting junction roads, then matching exit data or exit junction data of toll stations in the same direction, and calculating the time delay because the main line has no portal frame identification and can only calculate through an exit, adding flow into each section through which the vehicles pass by acquiring the exit data, and calculating the section flow Q of the junction-toll stationhx：Qhx＝Qe+Qh。
Step c-4: judging whether vehicles are coming out in the same direction or not by passing the license plate, and determining the section flow Q of the toll station-toll stationex：Qex＝Qe-Qtx。
Step c-5: determining toll station-main line portal flow Q by main line portal data matching with inlet vehicleen：Qen＝Qe+Qtn。
Step d: displaying a front-end interface; the initialization display interface calls a function set F ═ initMap, initInput, right _ left, bindEvents and remindInfo, wherein the function initMap represents a construction layout function, the function initInput represents an initialization input function, the function right _ left represents a data display function, the function bindEvents represents an event binding function, and the function remindInfo represents an information recording function. Constructing a front-end display page of the section flow monitoring system, and defining a called function;
step d-1: comprehensively considering the requirements of a section flow monitoring system using a client, and realizing the page layout of the section flow monitoring system through a function initMap;
step d-1-1: onload is utilized to execute script codes, the script codes select nested page labels through a selector, and assignment is carried out on src attributes of the selected labels, so that a page nested route diagram and two echar diagrams are realized;
step d-1-2: initializing the date of the selected tag through xinchframe.tools, extracting the selected tag through a selector, and formatting the date of the tag by using a format method;
step d-1-3: extracting each label by using a selector, and then setting the length and the width of the extracted label so as to complete the length and the width setting of each page;
step d-2: the function xinchframe.tools fills the front-end display interface by acquiring the section flow data stored by the DBS, and displays the corresponding flow to the user to realize the initialization input;
d-3, comprehensively considering the requirements of the section flow monitoring system for using a client, and realizing data display of the section flow monitoring system through a function right _ left;
step d-3-1: extracting a form label through a selector, and clearing data of the selected form by using an empty method;
step d-3-2: (as shown in fig. 3) by sending a request to the background, the request body contains a time parameter, and after the request is successful, a response data is obtained. When the data length is not empty, intercepting a character string containing time data, judging whether the character string is equal to '00: 00: 00', and if so, updating the time by intercepting the character; if not, the time is not updated; traversing the data by using a for cycle, and constructing a table to display information; when the data length is empty, the front-end page shows that 'no relevant information currently';
step d-3-3: selecting a table label through a selector, and constructing a section flow data table according to the extracted label;
step d-3-4: (as shown in fig. 4), a page is constructed to prompt a user whether to export cross-section flow data, a form is defined, form information is updated, and the form is submitted to a background for data export processing by a Post method.
The above description is only of the preferred embodiments of the present invention, and it should be noted that: it will be apparent to those skilled in the art that various modifications and adaptations can be made without departing from the principles of the invention and these are intended to be within the scope of the invention.
Claims (5)
1. A section flow monitoring system comprises data acquisition, system database construction, original data processing, target data operation and front-end interface display, and is characterized by comprising the following steps:
(a) collecting data and constructing a system database; the system database DBS { (yj _ section _ number _1, yj _ change _ hour _ count, yj _ change _ day _ count, yj _ section _ base }, where yj _ section _ number _1 represents a section flow statistical table, yj _ change _ home _ count represents a hub real-time flow table, yj _ change _ day _ count represents a hub historical flow table, and yj _ section _ base represents a section base information table; the method comprises the steps that full-line ETC portal data, adjacent ETC portal data and toll station transaction data are collected in real time through a data center and stored to a system database DBS in real time;
(b) processing original data; carrying out de-duplication and classification processing on the collected original data to form effective intermediate data, wherein the effective data can be divided into Qs、Qtn、Qtx、Qh、QeWherein Q issIndicating provincial traffic, QsIndicating toll station entry flow, QsIndicating toll station outlet flow, QsIndicating hub flow, QsRepresenting main line portal flow;
(c) target data operation(ii) a To further refine the cross-sectional flow, the cross-sectional flow is divided into Qsx、Qnh、Qhx、Qex、QenWherein Q issxIndicating provincial-toll station section flow, QnhIndicating toll station-hub section flow, QhxIndicating hub-toll station cross-sectional flow, QexIndicating toll station-toll station cross-sectional flow, QenRepresenting toll booth-main line portal traffic;
(d) displaying a front-end interface; the initialization display interface calls a function set F ═ initMap, initInput, right _ left, bindEvents and remindInfo, wherein the function initMap represents a construction layout function, the function initInput represents an initialization input function, the function right _ left represents a data display function, the function bindEvents represents an event binding function, and the function remindInfo represents an information recording function.
2. The cross-sectional flow monitoring system of claim 1, wherein: in the step (a), yj _ section _ number _1 includes id of an associated basic information table, a section flow name, a section direction, a section traffic number, and data submission time, yj _ change _ road _ count includes a hub name, a hub direction, a data submission time, and a hub flow, yj _ change _ day _ count includes a hub name, a hub direction, a data submission time, and a hub flow, and yj _ section _ base includes a station number, a cpc station, an etc station, a section name, an access direction, and a remark.
3. The cross-sectional flow monitoring system of claim 1, wherein: in the step (b), classifying the flow data according to a data source; yj _ section _ number _1 removes the same data by comparing the data field contents, yj _ change _ home _ count removes the same data by comparing the data field contents, yj _ change _ day _ count removes the same data by comparing the data field contents, and yj _ section _ base removes the same data by comparing the data field contents.
4. The cross-sectional flow monitoring system of claim 1, wherein: in the step (c), the target data is operated, and a calculation method of each target data is determined, specifically:
(c-1) judging whether vehicles are vehicles going out in the same direction or not through the license plate by combining the route map and the data acquisition information, and determining section flow Q of the provincial boundary-toll stationsx：Qsx＝Qs-Qtx。
(c-2) judging the entrance traffic flow of the toll station according to the exit license plate in the same direction, judging the traffic flow in the junction direction through the portal frame license plate of the intersected junction road, and determining the junction section flow Q of the toll stationnh：Qnh＝Qe+Qtn-Qh。
(c-3) determining vehicles in all directions of the corresponding junction by acquiring the number plate data of the portal frame of the crossed junction road, then matching the data of the exit or the data of the exit of the toll station in the same direction, wherein the time is delayed because the main line has no portal frame identification and can only be calculated through the exit, the flow is added to each section through which the vehicles pass by acquiring the data of the exit, and the flow Q of the section of the junction-toll station is calculatedhx：Qhx＝Qe+Qh。
(c-4) judging whether vehicles are coming out in the same direction or not through the license plate, and determining the cross-section flow Q of the toll station-toll stationex：Qex＝Qe-Qtx。
(c-5) determining toll booth-main line portal flow Q by matching the main line portal data with the entrance vehicleen：Qen＝Qe+Qtn。
5. The cross-sectional flow monitoring system and method of claim 1, wherein: in the step (d), a front-end display page of the cross-section flow monitoring system of the central data is constructed, and the called function is defined, specifically:
(d-1) comprehensively considering the requirements of the client used by the cross-section flow monitoring system, and realizing the page layout of the cross-section flow monitoring system through a function initMap;
(d-1-1) executing a script code by using window.
(d-1-2) initializing the date of the selected tag through xinchframe.
(d-1-3) extracting each label by using a selector, and then setting the length and the width of the extracted label to complete the length and the width setting of each page;
(d-2) filling the function xinchframe.tools into a front-end display interface by acquiring the section flow data stored by the DBS, and displaying corresponding flow to a user to realize initialization input;
(d-3) comprehensively considering the requirements of the client used by the cross-section flow monitoring system, and realizing data display of the cross-section flow monitoring system through a function right _ left;
(d-3-1) extracting the form label through a selector, and clearing the data of the selected form by using an empty method;
(d-3-2) by sending a request to the background, the request body contains the time parameter, and after the request is successful, a response data is obtained. When the data length is not empty, intercepting a character string containing time data, judging whether the character string is equal to '00: 00: 00', and if so, updating the time by intercepting the character; if not, the time is not updated; traversing the data by using a for cycle, and constructing a table to display information; when the data length is empty, the front-end page shows that 'no relevant information currently';
(d-3-3) selecting a table label through a selector, and constructing a section flow data table according to the extracted label;
and (d-3-4) constructing a page to prompt a user whether to export the cross section flow data, defining a form, updating the form information, and submitting the form to a background for data export processing by a Post method.
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Citations (20)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2002049985A (en) * | 2000-08-02 | 2002-02-15 | Komatsu Ltd | Traffic jam monitoring system |
| US6449555B1 (en) * | 1999-03-05 | 2002-09-10 | Kabushiki Kaisha Toshiba | Run time information arithmetic operation apparatus |
| JP2004326410A (en) * | 2003-04-24 | 2004-11-18 | Denso Corp | Tollgate terminal equipment for electronic toll collection system, etc on-vehicle unit and entry/leaving validity/invalidity deciding method |
| CN102110364A (en) * | 2009-12-28 | 2011-06-29 | 日电（中国）有限公司 | Traffic information processing method and traffic information processing device based on intersections and sections |
| CN102800198A (en) * | 2012-08-15 | 2012-11-28 | 重庆大学 | Measuring and calculating method for traffic flow of section of expressway |
| CN104851287A (en) * | 2015-04-15 | 2015-08-19 | 浙江大学 | Method for urban road link travel time detection based on video detector |
| JP2017162400A (en) * | 2016-03-11 | 2017-09-14 | 株式会社東芝 | Fee information processor, fee information processing system, fee notification system, fee information processing program and fee information processing method |
| CN107610486A (en) * | 2017-08-04 | 2018-01-19 | 华南理工大学 | A kind of highway tolling system and the coordinated control system for being connected signalized intersections |
| CN107993438A (en) * | 2017-12-08 | 2018-05-04 | 上海云砥信息科技有限公司 | A kind of highway bottleneck road congestion warning method |
| CN109615170A (en) * | 2018-11-08 | 2019-04-12 | 上海电科智能系统股份有限公司 | A kind of DSS for highway network management |
| CN110139231A (en) * | 2019-04-09 | 2019-08-16 | 惠州市德赛西威汽车电子股份有限公司 | A kind of car networking social contact method based on travelling data |
| CN209803990U (en) * | 2019-05-27 | 2019-12-17 | 中交城乡建设规划设计研究院有限公司 | Road network data acquisition system device |
| CN110648528A (en) * | 2019-09-10 | 2020-01-03 | 烟台市公路事业发展中心 | Wisdom highway management system |
| CN110928767A (en) * | 2019-10-12 | 2020-03-27 | 平安国际智慧城市科技股份有限公司 | Webpage analysis method, device, equipment and storage medium |
| CN111292533A (en) * | 2020-02-11 | 2020-06-16 | 北京交通大学 | Method for estimating flow of arbitrary section of highway at any time period based on multi-source data |
| CN111724595A (en) * | 2020-06-23 | 2020-09-29 | 重庆大学 | Highway section flow estimation method based on charging data |
| CN111724592A (en) * | 2020-06-12 | 2020-09-29 | 重庆大学 | Highway traffic jam detection method based on charging data and checkpoint data |
| CN112581774A (en) * | 2020-12-08 | 2021-03-30 | 重庆大学 | ETC data-based method for estimating traffic flow of driving vehicles in expressway service area |
| CN112837542A (en) * | 2020-12-30 | 2021-05-25 | 北京掌行通信息技术有限公司 | Method and device for counting traffic volume of highway section, storage medium and terminal |
| CN113096413A (en) * | 2021-03-23 | 2021-07-09 | 北京交通大学 | Intersomatic trip flow estimation method based on highway toll data |
-
2021
- 2021-08-09 CN CN202110907077.7A patent/CN113674538B/en active Active
Patent Citations (20)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US6449555B1 (en) * | 1999-03-05 | 2002-09-10 | Kabushiki Kaisha Toshiba | Run time information arithmetic operation apparatus |
| JP2002049985A (en) * | 2000-08-02 | 2002-02-15 | Komatsu Ltd | Traffic jam monitoring system |
| JP2004326410A (en) * | 2003-04-24 | 2004-11-18 | Denso Corp | Tollgate terminal equipment for electronic toll collection system, etc on-vehicle unit and entry/leaving validity/invalidity deciding method |
| CN102110364A (en) * | 2009-12-28 | 2011-06-29 | 日电（中国）有限公司 | Traffic information processing method and traffic information processing device based on intersections and sections |
| CN102800198A (en) * | 2012-08-15 | 2012-11-28 | 重庆大学 | Measuring and calculating method for traffic flow of section of expressway |
| CN104851287A (en) * | 2015-04-15 | 2015-08-19 | 浙江大学 | Method for urban road link travel time detection based on video detector |
| JP2017162400A (en) * | 2016-03-11 | 2017-09-14 | 株式会社東芝 | Fee information processor, fee information processing system, fee notification system, fee information processing program and fee information processing method |
| CN107610486A (en) * | 2017-08-04 | 2018-01-19 | 华南理工大学 | A kind of highway tolling system and the coordinated control system for being connected signalized intersections |
| CN107993438A (en) * | 2017-12-08 | 2018-05-04 | 上海云砥信息科技有限公司 | A kind of highway bottleneck road congestion warning method |
| CN109615170A (en) * | 2018-11-08 | 2019-04-12 | 上海电科智能系统股份有限公司 | A kind of DSS for highway network management |
| CN110139231A (en) * | 2019-04-09 | 2019-08-16 | 惠州市德赛西威汽车电子股份有限公司 | A kind of car networking social contact method based on travelling data |
| CN209803990U (en) * | 2019-05-27 | 2019-12-17 | 中交城乡建设规划设计研究院有限公司 | Road network data acquisition system device |
| CN110648528A (en) * | 2019-09-10 | 2020-01-03 | 烟台市公路事业发展中心 | Wisdom highway management system |
| CN110928767A (en) * | 2019-10-12 | 2020-03-27 | 平安国际智慧城市科技股份有限公司 | Webpage analysis method, device, equipment and storage medium |
| CN111292533A (en) * | 2020-02-11 | 2020-06-16 | 北京交通大学 | Method for estimating flow of arbitrary section of highway at any time period based on multi-source data |
| CN111724592A (en) * | 2020-06-12 | 2020-09-29 | 重庆大学 | Highway traffic jam detection method based on charging data and checkpoint data |
| CN111724595A (en) * | 2020-06-23 | 2020-09-29 | 重庆大学 | Highway section flow estimation method based on charging data |
| CN112581774A (en) * | 2020-12-08 | 2021-03-30 | 重庆大学 | ETC data-based method for estimating traffic flow of driving vehicles in expressway service area |
| CN112837542A (en) * | 2020-12-30 | 2021-05-25 | 北京掌行通信息技术有限公司 | Method and device for counting traffic volume of highway section, storage medium and terminal |
| CN113096413A (en) * | 2021-03-23 | 2021-07-09 | 北京交通大学 | Intersomatic trip flow estimation method based on highway toll data |
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