CN106816010B - A kind of setting method and system of car flow information monitoring device - Google Patents

A kind of setting method and system of car flow information monitoring device Download PDF

Info

Publication number
CN106816010B
CN106816010B CN201710156308.9A CN201710156308A CN106816010B CN 106816010 B CN106816010 B CN 106816010B CN 201710156308 A CN201710156308 A CN 201710156308A CN 106816010 B CN106816010 B CN 106816010B
Authority
CN
China
Prior art keywords
interest
initial area
monitoring device
proximity relations
initial
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.)
Active
Application number
CN201710156308.9A
Other languages
Chinese (zh)
Other versions
CN106816010A (en
Inventor
赵志远
尹凌
胡金星
冯圣中
黄思林
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.)
Zhuhai Institute Of Advanced Technology Chinese Academy Of Sciences Co ltd
Original Assignee
Shenzhen Institute of Advanced Technology of CAS
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 Shenzhen Institute of Advanced Technology of CAS filed Critical Shenzhen Institute of Advanced Technology of CAS
Priority to CN201710156308.9A priority Critical patent/CN106816010B/en
Publication of CN106816010A publication Critical patent/CN106816010A/en
Application granted granted Critical
Publication of CN106816010B publication Critical patent/CN106816010B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • GPHYSICS
    • G08SIGNALLING
    • G08GTRAFFIC CONTROL SYSTEMS
    • G08G1/00Traffic control systems for road vehicles
    • G08G1/01Detecting movement of traffic to be counted or controlled
    • G08G1/0104Measuring and analyzing of parameters relative to traffic conditions
    • G08G1/0125Traffic data processing
    • GPHYSICS
    • G08SIGNALLING
    • G08GTRAFFIC CONTROL SYSTEMS
    • G08G1/00Traffic control systems for road vehicles
    • G08G1/065Traffic 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

Abstract

This application involves field of intelligent transportation technology, in particular to a kind of the setting method and system of car flow information monitoring device.The setting method of the car flow information monitoring device includes: step a: determining initial area-of-interest, and calculates the proximity relations between each initial area-of-interest;Step b: each initial area-of-interest is gradually merged according to the proximity relations, obtains new unit interested;Step c: calculating the quantity of monitoring device needed for information of vehicles monitors between the new unit interested, and the setting of the monitoring device is carried out according to calculated result.The fine degree that the setting method and system of the car flow information monitoring device of the embodiment of the present application pass through reduction area-of-interest, to reduce the demand of monitoring device, so that it is maximum to the ability of the information of vehicles covering between area-of-interest, avoid the case where required number of devices is beyond current budget.

Description

A kind of setting method and system of car flow information monitoring device
Technical field
This application involves field of intelligent transportation technology, in particular to the setting method of a kind of car flow information monitoring device and it is System.
Background technique
Along with the level of urbanization rapid growth in China, the motorization level of urban transportation is fast-developing, hands over to city The service ability of way system brings huge challenge and pressure.The vehicles number quicklyd increase makes urban ground traffic system System faces the traffic jam issue got worse, and the monitoring to car flow information is to assess the main path of road state.Closely Nian Lai, wagon flow OD (Origin and Destination, starting point and destination) information play in transport need analysis More and more important role.By the Dynamic Spatial-temporal Changes Analysis of wagon flow OD information, can scientifically instruct to hand in regional scope The reasonable disposition of logical facility, effectively improves the service level of traffic system.
Wagon flow OD information is transinformation of the wagon flow between area-of-interest, needs to connect to all with area-of-interest Roadway segment be monitored.Video surveillance data are a kind of data sources of important traffic characteristic information, on the one hand, can Obtain the road traffic features information such as vehicle flowrate, the speed of fixed location road section;On the other hand, pass through image recognition skill Art can automatically identify the license plate information of vehicle, and the tracking to vehicle individual may be implemented, and collect the information of vehicle OD.? In addressing based on video surveillance devices, the laying of camera is still the collection towards fixed point traffic information and lays, mainly For the wagon flow quantity of key node and the monitoring of vehicle characteristics.
Current video surveillance devices addressing mode include: firstly, monitoring device addressing with section for analysis object, position The purpose of laying be car flow information on maximum covering section, therefore be often set on key crossing.With camera shooting For head, in the case where limited amount, transitable all sections, vehicle between any two area-of-interest can not be covered Therefore OD information can have careless omission.Secondly, vehicle is different on the larger major trunk roads of vehicle flowrate in the equipment locating towards section A possibility that repeating in section is higher, in the facility addressing towards section maximum stream flow, different cameras institute on major trunk roads The vehicle of monitoring, which exists, largely to be repeated.Finally, in current equipment locating, usually given road network and specific objective, Calculating at least needs how many monitoring device and where is laying, and rarely has and formulates facility locations in the limited situation of equipment Selection scheme research case.And in actual situation, the case where often there is limited budgets, therefore, how to take the photograph As formulating reasonable addressing scheme in the case where head limited amount, so that the result of goal in research is optimal to seem most important.
Summary of the invention
This application provides the setting methods and system of a kind of car flow information monitoring device, it is intended at least to a certain extent Solve one of above-mentioned technical problem in the prior art.
To solve the above-mentioned problems, this application provides following technical solutions:
A kind of setting method of car flow information monitoring device, comprising:
Step a: determining initial area-of-interest, and calculates the proximity relations between each initial area-of-interest;
Step b: each initial area-of-interest is gradually merged according to the proximity relations, obtains new sense Interest unit;
Step c: the quantity of monitoring device needed for information of vehicles monitors between the calculating new unit interested, and according to Calculated result carries out the setting of the monitoring device.
The technical solution that the embodiment of the present application is taken further include: in the step a, the calculating is each initial interested Proximity relations between region includes: the relationship of the spatial position feature and road network according to each initial area-of-interest, is established The connection relationship of initial area-of-interest and given road network;And combine the spatial position feature calculation of initial area-of-interest any Proximity relations between two or more initial area-of-interests.
The technical solution that the embodiment of the present application is taken further include: according to proximity relations to described each first in the step b The interesting region that begins to flourish gradually is merged, comprising: according to the proximity relations between each initial area-of-interest, according to from the near to the distant Principle, using hierarchy clustering method gradually by apart from least two or more than two closest initial area-of-interests into Row merges.
The technical solution that the embodiment of the present application is taken further include: according to proximity relations to described each first in the step b The interesting region that begins to flourish gradually is merged, further includes: is recalculated between new unit interested and other initial area-of-interests Proximity relations, and will be new interested according to the proximity relations between new unit interested and other initial area-of-interests Unit is merged with apart from least two or more than two closest initial area-of-interests.
The technical solution that the embodiment of the present application is taken further include: described to calculate new unit interested in the step c Between information of vehicles monitor needed for monitoring device quantity further include: whether the quantity of monitoring device needed for judging is more than limitation item Part re-execute the steps b if the quantity of required monitoring device is more than restrictive condition;Wherein, the restrictive condition is practical The quantity of monitoring device.
A kind of another technical solution that the embodiment of the present application is taken are as follows: setting system of car flow information monitoring device, comprising:
Target determination module: for determining initial area-of-interest;
First computing module: for calculating the proximity relations between each initial area-of-interest;
Region merging technique module: for gradually being closed according to the proximity relations to each initial area-of-interest And obtain new unit interested;
Second computing module: required monitoring device is monitored for calculating information of vehicles between the new unit interested Quantity, and carry out according to calculated result the setting of the monitoring device.
The technical solution that the embodiment of the present application is taken further include: first computing module calculates each initial region of interest Proximity relations between domain specifically: according to the relationship of the spatial position feature of each initial area-of-interest and road network, establish The connection relationship of initial area-of-interest and given road network;And combine the spatial position feature calculation of initial area-of-interest any Proximity relations between two or more initial area-of-interests.
The technical solution that the embodiment of the present application is taken further include: the region merging technique module is according to proximity relations to described each A initial area-of-interest is gradually merged specifically: according to the proximity relations between each initial area-of-interest, according to Principle from the near to the distant gradually will initially feel emerging apart from closest at least two or more than two using hierarchy clustering method Interesting region merges.
The technical solution that the embodiment of the present application is taken further include: the region merging technique module is according to proximity relations to described each A initial area-of-interest is gradually merged further include: recalculates new unit interested and other initial area-of-interests Between proximity relations, and according to the proximity relations between new unit interested and other initial area-of-interests by new sense Interest unit is merged with apart from least two or more than two closest initial area-of-interests.
The technical solution that the embodiment of the present application is taken further includes result judgment module, and the result judgment module is for judging Whether the quantity of required monitoring device is more than restrictive condition, if the quantity of required monitoring device is more than restrictive condition, is passed through Region merging technique module continues region merging technique;Wherein, the restrictive condition is the quantity of actual monitoring equipment.
Compared with the existing technology, the beneficial effect that the embodiment of the present application generates is: the car flow information of the embodiment of the present application The setting method and system of monitoring device pass through the fine degree for reducing area-of-interest, to reduce the demand of monitoring device, So that it is maximum to the ability of the vehicle OD information covering between area-of-interest, required number of devices is avoided beyond current budget The case where.
Detailed description of the invention
Fig. 1 is the flow chart of the setting method of the car flow information monitoring device of the embodiment of the present application;
Fig. 2 is the flow chart for the method that the embodiment of the present application gradually merges initial area-of-interest;
Fig. 3 is that the intersection information of vehicles of the embodiment of the present application assesses schematic diagram;
Fig. 4 is the structural schematic diagram of the setting system of the car flow information monitoring device of the embodiment of the present application;
Fig. 5 is the result schematic diagram for the embodiment of the present application in Dapeng peninsula regional experiment.
Specific embodiment
It is with reference to the accompanying drawings and embodiments, right in order to which the objects, technical solutions and advantages of the application are more clearly understood The application is further elaborated.It should be appreciated that specific embodiment described herein is only to explain the application, not For limiting the application.
Analysis towards wagon flow OD information is intended to analyze vehicle between the area-of-interest that can attract vehicle parks Transinformation.In view of the mobile dependence traffic network of vehicle, therefore, with the associated section of area-of-interest (i.e. by interested Set out or into the section of area-of-interest in region) determine the quantity of monitoring device, it may be assumed that and area-of-interest is rough, The quantity for being associated with section is fewer, and monitoring device quantity required for covering to vehicle OD information between area-of-interest is fewer.Base In above-mentioned, the purpose of the application is directed to the setting method and system of a kind of car flow information monitoring device, can set in monitoring In the case where standby limited amount, by calculating the proximity relations between each area-of-interest, accordingly to each area-of-interest Gradually merged, so that the fine degree of area-of-interest is reduced, to reduce the demand of monitoring device, so as to interested The ability of vehicle OD information covering between region is maximum, for based on vehicle OD information transport need analysis and management branch is provided It holds.In the examples below, only by monitoring device be camera for be specifically described, it will be understood that the application other In embodiment, monitoring device may be other photographing elements, detecting element etc., and be equally applicable in addition to vehicle OD information with Outer other information of vehicles monitoring, for example, car speed monitoring etc..
Specifically, referring to Fig. 1, being the flow chart of the setting method of the car flow information monitoring device of the embodiment of the present application. The setting method of the car flow information monitoring device of the embodiment of the present application the following steps are included:
Step 100: initial area-of-interest being determined according to actual purpose, and is calculated between each initial area-of-interest Proximity relations;
In step 100, the mode for determining initial area-of-interest includes: according to hotel, scenic spot, cell and village and other places Species type and road name, place name etc. determine initial area-of-interest.Calculate the proximity relations between each initial area-of-interest Calculation are as follows: according to the relationship of the spatial position feature of each initial area-of-interest and road network, establish initial interested The connection relationship in region and given road network;And according to actual needs, in conjunction with the spatial position feature calculation of initial area-of-interest Proximity relations between arbitrary initial area-of-interest.
Among the above, in the embodiment of the present application, it is measured using the shortest distance of road network between initial area-of-interest each Proximity relations between a initial area-of-interest.After initial area-of-interest and road network establish a connection, Ke Yigen According to the shortest distance (i.e. the distance of shortest path) between the topological relationship calculation arbitrary node of road network connection.Due to needing to calculate The distance between any two points, the embodiment of the present application (solve any two section in network structure using Floyd-Warshall algorithm A kind of algorithm of shortest path between point) calculate the shortest distance.The algorithm basic thought is (node i and j) between two nodes The shortest distance exist only in two kinds may: (1) directly from node i to j;(2) i arrives j by several nodes k again.If sharp With Dis (i, j) indicate the distance between node i and j, to the node of all processes judge Dis (i, k)+Dis (k, j) < Dis (i, J), if set up, Dis (i, j)=Dis (i, k)+Dis (k, j), after having traversed the node k of all processes, Dis are set (i, j) is the shortest distance between two nodes.It is appreciated that minimum distance calculation side used in the embodiment of the present application Method is one of proximity relations balancing method, in practical applications, can be extended according to actual needs and again fixed Justice.
Step 200: according to the proximity relations between each initial area-of-interest according to certain principle to related initial sense Interest region is gradually merged, and a certain number of units interested are formed;
In step 200, the combination principle that the embodiment of the present application gradually merges related initial area-of-interest are as follows: According to the proximity relations between each initial area-of-interest, according to principle from the near to the distant, gradually using hierarchy clustering method It will merge, formed a certain number of interested apart from least two or more than two closest initial area-of-interests Unit;And then pay close attention to the wagon flow OD information between each unit interested.Wherein, single cluster side is generated with other cluster modes Case is different, and what hierarchical clustering method generated is a cluster level, carries out not to initial area-of-interest in the embodiment of the present application With the merging of degree.In view of combination principle from the near to the distant, the embodiment of the present application is using clustering method from bottom to top, constantly Ground merges closest initial area-of-interest, forms new unit interested, until reaching setting target.
Further, referring to Fig. 2, being the side that the embodiment of the present application gradually merges related initial area-of-interest The flow chart of method.Method that the embodiment of the present application gradually merges related initial area-of-interest the following steps are included:
Step 201: each initial area-of-interest is classified as one kind;
Step 202: according to the proximity relations between initial area-of-interest, by closest at least two or more than two Initial area-of-interest merge, form new unit interested;
Step 203: recalculating the proximity relations between new unit interested and other initial area-of-interests, and root It is according to the proximity relations between new unit interested and other initial area-of-interests that new unit interested and distance is most adjacent At least two or more than two close initial area-of-interests merge, until meeting specific cluster condition.
In step 203, between the unit interested and other initial area-of-interests newly formed during hierarchical clustering The calculating of proximity relations will have a direct impact on the result of cluster.According to the difference of distance calculating method, hierarchical clustering algorithm point For SL method (single-linkage, single connection algorithm), CL method (complete-linkage, full-join algorithm) and AL method (average-linkage, average level algorithm) three types, wherein class spacing is the spacing of classification inner element in SL method From minimum value, and it is maximum value that the class spacing of CL method is corresponding, and the class spacing of AL method is then the spacing with classification inner element From average level substitute, generally indicated with intermediate value.Due to AL method more can overall distance between reflecting regional, the application Embodiment preferably uses AL method, but in the application other embodiments, is equally applicable to SL method and CL method.
Step 300: calculating the quantity of camera needed for vehicle OD information monitoring between each unit interested after merging;
In step 300, the calculation of required camera quantity are as follows: firstly, calculating and closing according to the connection relationship of road network The association section of all units interested after and is (i.e. all to enter each unit interested and from each unit interested The section set out), and required camera quantity is calculated according to the case where association section, pass through the prison in these association sections Camera is arranged in point position, is monitored by camera to these association sections, vehicle between unit interested can be realized The extraction of OD information.In the embodiment of the present application, setting single camera can only monitor on road from the side of camera direction Carry out the license plate of all automobiles to traveling, and the road in survey region does not have the road of one-way trip, in such cases, often The vehicle OD information monitoring in item association section at least needs 2 cameras.
Secondly, if the section of all directions of intersection belongs to the association section of unit interested, due to vehicle Flow of the flow in road junction position is conservation, and the vehicle OD information in the one of section of intersection can lead to The vehicle OD information for crossing other directions is estimated to obtain, and therefore, the camera in the section is redundancy, can remove.Please specifically it join Fig. 3 is read, is that the intersection information of vehicles of the embodiment of the present application assesses schematic diagram.Wherein, IA and OA respectively indicates vehicle from A Direction enters and goes out, and!IA and!OA respectively indicates vehicle and does not enter and go out from the direction A, other are analogized.So, if The vehicles while passing situation in tri- directions known A, B and C, can calculate the vehicles passing in and out information in the direction D.Circular is such as Under:
ID=(OA∪OB∪OC)∩(!IA∩!IB∩!IC) (1)
OD=(IA∪IB∪IC)∩(!OA∩!OB∩!OC) (2)
The vehicle pass-through situation that camera section is not configured in intersection can be calculated by formula (1) and (2), thus Further reduce the quantity of camera.And the case where other types crossing, it can be calculated according to this principle.It can manage It solves, the calculation method of camera quantity is without being limited thereto in the embodiment of the present application, can also specifically be extended according to actual needs.
Step 400: whether the quantity of camera needed for judging is more than restrictive condition, if the quantity of required camera is more than Restrictive condition then re-execute the steps 200, until the quantity of required camera is no more than restrictive condition.
In step 400, according to the camera quantity and restrictive condition (the camera quantity of actual budget) being calculated Compare, if meeting corresponding preset condition, stop union operation, on the association section of unit interested after merging Camera is arranged in monitoring location, thus in the case where camera limited amount, so as to the vehicle between unit interested OD information covering power maximizes.And support the setting location schemes of camera under different camera quantity restrictive conditions formulation and Selection, can be used for comparing the fine degree of the vehicle OD information extraction under different schemes, and it is more scientific reasonable to be conducive to formulate Practical application goal programming.
Referring to Fig. 4, being the structural schematic diagram of the setting system of the car flow information monitoring device of the embodiment of the present application.This Shen Please the setting system of car flow information monitoring device of embodiment include target determination module, the first computing module, region merging technique mould Block, the second computing module and result judgment module.
Target determination module: for determining initial area-of-interest according to actual purpose;Wherein it is determined that initial region of interest The mode in domain includes: determining initial interested according to the types of ground objects such as hotel, scenic spot, cell and village and road name, place name etc. Region.
First computing module: for calculating the proximity relations between each initial area-of-interest;Wherein, it calculates each first The calculation of proximity relations between beginning area-of-interest are as follows: according to the spatial position feature of each initial area-of-interest with The relationship of road network establishes the connection relationship of initial area-of-interest Yu given road network;And according to actual needs, in conjunction with initially feeling emerging Proximity relations between the spatial position feature calculation arbitrary initial area-of-interest in interesting region.
Among the above, measured using the shortest distance of road network between initial area-of-interest each initial area-of-interest it Between proximity relations.After initial area-of-interest and road network establish a connection, the topology that can be connected according to road network is closed System calculates the shortest distance between arbitrary node.Due to needing to calculate the distance between any two points, the embodiment of the present application is used Floyd-Warshall algorithm calculates the shortest distance.The algorithm basic thought is the most short distance of (node i and j) between two nodes It is possible from existing only in two kinds: (1) directly from node i to j;(2) i arrives j by several nodes k again.If using Dis (i, J) the distance between node i and j are indicated, Dis (i, k)+Dis (k, j) < Dis (i, j) is judged to the node of all processes, if It sets up, then sets Dis (i, j)=Dis (i, k)+Dis (k, j), after having traversed the node k of all processes, Dis (i, j) is just It is the shortest distance between two nodes.It is appreciated that minimum distance calculation method used in the embodiment of the present application is One of proximity relations balancing method can be extended and redefine according to actual needs in practical applications.
Region merging technique module: for according to the proximity relations between each initial area-of-interest according to certain principle to phase It closes initial area-of-interest gradually to be merged, forms a certain number of units interested;Wherein, the embodiment of the present application is to correlation The combination principle that initial area-of-interest is gradually merged are as follows: according to the proximity relations between each initial area-of-interest, It, gradually will be initial apart from closest at least two or more than two using hierarchy clustering method according to principle from the near to the distant Area-of-interest merges, and forms a certain number of units interested;And then pay close attention to the wagon flow between each unit interested OD information.Wherein, generate that single clustering schemes are different from other cluster modes, what hierarchical clustering method generated is a cluster layer It is secondary, different degrees of merging is carried out to initial area-of-interest in the embodiment of the present application.In view of merging from the near to the distant is former Then, the embodiment of the present application constantly merges closest initial area-of-interest using clustering method from bottom to top, New unit interested is formed, until reaching setting target.
Further, the merging that region merging technique module gradually merges related initial area-of-interest specifically includes:
A: each initial area-of-interest is classified as one kind;
B: initial by closest at least two or more than two according to the proximity relations between initial area-of-interest Area-of-interest merges, and forms new unit interested;
C: the proximity relations between new unit interested and other initial area-of-interests is recalculated, and according to new Proximity relations between unit interested and other initial area-of-interests by new unit interested with apart from it is closest extremely Few two or more initial area-of-interests merge, until meeting specific cluster condition;Wherein, level The calculating of proximity relations between the unit interested newly formed in cluster process and other initial area-of-interests can direct shadow Ring the result to cluster.According to the difference of distance calculating method, hierarchical clustering algorithm is divided into SL method (single-linkage, list Join algorithm), CL method (complete-linkage, full-join algorithm) and AL method (average-linkage, average level Algorithm) three types, wherein the minimum value of class spacing distance between classification inner element in SL method, and the class spacing of CL method Corresponding is maximum value, and the class spacing of AL method is substituted with the average level of distance between classification inner element, general to use Intermediate value indicates.Due to AL method more can overall distance between reflecting regional, the embodiment of the present application preferably uses AL method, but at this Apply being equally applicable to SL method and CL method in other embodiments.
Second computing module: it is imaged needed for vehicle OD information monitoring between each unit interested after merging for calculating The quantity of head;The calculation of camera quantity are as follows: firstly, the institute's thoughts calculated after merging are emerging according to the connection relationship of road network The association section of interesting unit, and required camera quantity is calculated according to the case where association section, by these association roads Camera is arranged in the monitoring location of section, is monitored by camera to these association sections, unit interested can be realized Between vehicle OD information extraction.In the embodiment of the present application, setting single camera can only monitor on road from camera court To direction running and carry out the license plates of all automobiles, and the road in survey region does not have the road of one-way trip, such feelings Under condition, the vehicle OD information monitoring in every association section at least needs 2 cameras.
Secondly, if the section of all directions of intersection belongs to the association section of unit interested, due to vehicle Flow of the flow in road junction position is conservation, and the vehicle OD information in the one of section of intersection can lead to The vehicle OD information for crossing other directions is estimated to obtain, and therefore, the camera in the section is redundancy, can remove.Please specifically it join Fig. 3 is read, is that the intersection information of vehicles of the embodiment of the present application assesses schematic diagram.Wherein, IA and OA respectively indicates vehicle from A Direction enters and goes out, and!IA and!OA respectively indicates vehicle and does not enter and go out from the direction A, other are analogized.So, if The vehicles while passing situation in tri- directions known A, B and C, can calculate the vehicles passing in and out information in the direction D.Circular is such as Under:
ID=(OA∪OB∪OC)∩(!IA∩!IB∩!IC) (1)
OD=(IA∪IB∪IC)∩(!OA∩!OB∩!OC) (2)
The vehicle pass-through situation that camera section is not configured in intersection can be calculated by formula (1) and (2), thus Further reduce the quantity of camera.And the case where other types crossing, it can be calculated according to this principle.It can manage It solves, the calculation method of camera quantity is without being limited thereto in the embodiment of the present application, can also specifically be extended according to actual needs.
As a result judgment module: for judging whether the quantity of required camera is more than restrictive condition, if required camera Quantity be more than restrictive condition, then again through region merging technique module carry out region merging technique, until required camera quantity not Until restrictive condition;In device, according to the camera quantity and restrictive condition (the camera number of actual budget being calculated Amount) compare, if meeting corresponding preset condition, stop union operation, the association section of unit interested after merging On monitoring location camera is set, thus in the case where camera limited amount, so as between unit interested Vehicle OD information covering power maximizes.And support the system of camera setting location schemes under different camera quantity restrictive conditions Fixed and selection, can be used for comparing the fine degree of the vehicle OD information extraction under different schemes, is conducive to formulate more scientific The goal programming of reasonable practical application.
In order to verify the feasibility of the application, following embodiment is carried out by research case of Dapeng peninsula of Shenzhen City region Test.Dapeng peninsula possesses multiple natural scenic spots, while also including town dweller accumulation regions and villages within the city.According to Dapeng peninsula The case where, it is initial region of interest that the embodiment of the present application, which selectes the types such as natural scenic spot, villages within the city and town dweller's cell, Domain, and the purpose that camera is laid is then to monitor the wagon flow OD situation between each initial area-of-interest.According to this Shen Please wagon flow OD information monitoring equipment in embodiment setting method, respectively in the feelings of given 10,30 and 50 cameras Under condition, the final amalgamation result of corresponding initial area-of-interest and need to be arranged the section that camera is observed information of vehicles As shown in figure 5, being result schematic diagram of the embodiment of the present application in Dapeng peninsula regional experiment.Above-mentioned experimental result intuitively provides Under the restrictive condition of the camera of different number, the section of when camera setting towards wagon flow OD information required monitoring, The crossing of respective stretch or on the way position can be used as the foundation of camera setting.
The setting method and system of the car flow information monitoring device of the embodiment of the present application reduce the fine journey of area-of-interest Degree, to reduce the demand of monitoring device, so that it is maximum to the ability of the vehicle OD information covering between area-of-interest, it avoids Required number of devices exceeds the case where current budget, overcomes and is currently based in road traffic features information monitoring equipment more The problem of paying close attention to key road segment, slipping so as to cause vehicle OD information;Meanwhile the application can according to the camera of different number into The formulation and optimization of the row plan of establishment are conducive to make for comparing the fine degree of the vehicle OD information extraction under different schemes The goal programming of fixed more scientific reasonable practical application.
The foregoing description of the disclosed embodiments makes professional and technical personnel in the field can be realized or use the application. Various modifications to these embodiments will be readily apparent to those skilled in the art, as defined herein General Principle can be realized in other embodiments without departing from the spirit or scope of the application.Therefore, the application It is not intended to be limited to the embodiments shown herein, and is to fit to and the principles and novel features disclosed herein phase one The widest scope of cause.

Claims (8)

1. a kind of setting method of car flow information monitoring device characterized by comprising
Step a: determining initial area-of-interest, and calculates the proximity relations between each initial area-of-interest;
Step b: gradually merging each initial area-of-interest according to the proximity relations, obtains new interested Unit;
Step c: the quantity of monitoring device needed for information of vehicles monitors between the new unit interested is calculated, and according to calculating As a result the setting of the monitoring device is carried out;
Wherein, each initial interest region is gradually merged according to proximity relations in the step b, comprising: according to Proximity relations between each initial area-of-interest gradually will be away from using hierarchy clustering method according to principle from the near to the distant It is merged from least two or more than two closest initial area-of-interests.
2. the setting method of car flow information monitoring device according to claim 1, which is characterized in that in the step a, The proximity relations calculated between each initial area-of-interest includes: the spatial position according to each initial area-of-interest The relationship of feature and road network establishes the connection relationship of initial area-of-interest Yu given road network;And combine initial area-of-interest Spatial position feature calculation any two or more than two initial area-of-interests between proximity relations.
3. the setting method of car flow information monitoring device according to claim 1, which is characterized in that root in the step b Each initial interest region is gradually merged according to proximity relations, further includes: recalculate new unit interested with Proximity relations between other initial area-of-interests, and according between new unit interested and other initial area-of-interests Proximity relations by new unit interested with apart from least two or more than two closest initial area-of-interests into Row merges.
4. the setting method of car flow information monitoring device according to claim 1, which is characterized in that in the step c, The quantity for calculating monitoring device needed for information of vehicles monitoring between new unit interested includes: monitoring device needed for judging Quantity whether be more than restrictive condition, if the quantity of required monitoring device be more than restrictive condition, re-execute the steps b;Its In, the restrictive condition is the quantity of actual monitoring equipment.
5. a kind of setting system of car flow information monitoring device characterized by comprising
Target determination module: for determining initial area-of-interest;
First computing module: for calculating the proximity relations between each initial area-of-interest;
Region merging technique module: it for gradually being merged according to the proximity relations to each initial area-of-interest, obtains To new unit interested;
Second computing module: the number of required monitoring device is monitored for calculating information of vehicles between the new unit interested It measures, and carries out the setting of the monitoring device according to calculated result;
Wherein, the region merging technique module is used to gradually merge each initial interest region according to proximity relations, It include: that hierarchy clustering method is utilized according to principle from the near to the distant according to the proximity relations between each initial area-of-interest It will gradually be merged apart from least two or more than two closest initial area-of-interests.
6. the setting system of car flow information monitoring device according to claim 5, which is characterized in that described first calculates mould Block is used to calculate the proximity relations between each initial area-of-interest, specifically: according to the sky of each initial area-of-interest Between position feature and road network relationship, establish the connection relationship of initial area-of-interest Yu given road network;And it combines and initially feels emerging Proximity relations between the spatial position feature calculation any two or more than two initial area-of-interests in interesting region.
7. the setting system of car flow information monitoring device according to claim 5, which is characterized in that the region merging technique mould Block is for gradually merging each initial interest region according to proximity relations, further includes: it is emerging to recalculate new sense Proximity relations between interesting unit and other initial area-of-interests, and according to new unit interested with it is other initial interested New unit interested is initially felt emerging with apart from closest at least two or more than two by the proximity relations between region Interesting region merges.
8. the setting system of car flow information monitoring device according to claim 5, which is characterized in that further include: result is sentenced Disconnected module, the result judgment module is for judging whether the quantity of required monitoring device is more than restrictive condition, if required prison The quantity of measurement equipment is more than restrictive condition, then continues region merging technique by region merging technique module;Wherein, the restrictive condition For the quantity of actual monitoring equipment.
CN201710156308.9A 2017-03-16 2017-03-16 A kind of setting method and system of car flow information monitoring device Active CN106816010B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201710156308.9A CN106816010B (en) 2017-03-16 2017-03-16 A kind of setting method and system of car flow information monitoring device

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201710156308.9A CN106816010B (en) 2017-03-16 2017-03-16 A kind of setting method and system of car flow information monitoring device

Publications (2)

Publication Number Publication Date
CN106816010A CN106816010A (en) 2017-06-09
CN106816010B true CN106816010B (en) 2019-10-18

Family

ID=59114846

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201710156308.9A Active CN106816010B (en) 2017-03-16 2017-03-16 A kind of setting method and system of car flow information monitoring device

Country Status (1)

Country Link
CN (1) CN106816010B (en)

Families Citing this family (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107622664B (en) * 2017-09-25 2020-08-25 山东交通学院 Traffic flow detector layout method, server and system based on building block splicing
CN111951544A (en) * 2019-05-17 2020-11-17 阿里巴巴集团控股有限公司 Method and device for determining monitoring point

Family Cites Families (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2003030776A (en) * 2001-07-17 2003-01-31 Japan Radio Co Ltd Object detection system and its method
JP2003123196A (en) * 2001-10-10 2003-04-25 Denso Corp Device and program for monitoring circumference of vehicle
CN101976505A (en) * 2010-10-25 2011-02-16 中国科学院深圳先进技术研究院 Traffic evaluation method and system
US8942913B2 (en) * 2011-09-20 2015-01-27 Infosys Limited System and method for on-road traffic density analytics using video stream mining and statistical techniques
CN103236160B (en) * 2013-04-07 2015-03-18 水木路拓科技(北京)有限公司 Road network traffic condition monitoring system based on video image processing technology
CN105741599B (en) * 2014-12-10 2019-11-05 深圳市腾讯计算机系统有限公司 The display methods and device of information of vehicles
CN205050340U (en) * 2015-07-17 2016-02-24 袁丽 A intelligence control system , wireless communication system , vehicle test node, relay node and assemble node for intelligent transportation monitoring

Also Published As

Publication number Publication date
CN106816010A (en) 2017-06-09

Similar Documents

Publication Publication Date Title
CN110111575B (en) Urban traffic flow network analysis method based on complex network theory
CN107730975B (en) System and method for guiding reverse car finding and departure guiding in supermarket parking
US9355063B2 (en) Parking lot detection using probe data
Kong et al. Efficient traffic state estimation for large-scale urban road networks
CN102136192B (en) Method for identifying trip mode based on mobile phone signal data
CN106529815A (en) Estimation method of passenger trip spatial-temporal trajectory of urban rail transit network and application thereof
CN108615396A (en) Stopping guide, reverse vehicle searching system and method based on bluetooth positioning
CN107845259A (en) Public transport operation situation real-time feedback system and public transport real-time running data processing method
CN106017476B (en) A method of generating indoor positioning navigation graph model
CN101976500A (en) Method and system for analyzing traffic network
Wagner et al. Smart city planning-developing an urban charging infrastructure for electric vehicles
CN206961119U (en) A kind of distributed memory system of intelligent driving automobile operation system and high-precision map
CN106971535B (en) A kind of urban traffic blocking index computing platform based on Floating Car GPS real time data
CN106816010B (en) A kind of setting method and system of car flow information monitoring device
Zhi-Peng et al. An improved adaptive exponential smoothing model for short-term travel time forecasting of urban arterial street
CN103177595A (en) Dynamic routing optimization system and method based on real-time traffic information
CN105528907A (en) Parking lot management system and parking lot management method
CN105279963B (en) A kind of method and device for obtaining traffic information
CN106790680A (en) The distributed memory system of high accuracy map and its application
CN109543895A (en) A kind of transit network planning method out based on taxi passenger flow conversion
CN109141459A (en) A kind of electric car navigation system and method with Analysis of Electricity prediction
CN109754635A (en) Surface parking lots reverse vehicle searching system
Zhou et al. Method for judging parking status based on yolov2 target detection algorithm
CN109520499A (en) Region isochronal method in real time is realized based on vehicle GPS track data
CN105486322B (en) Method and system for acquiring road condition information of regional roads

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
GR01 Patent grant
GR01 Patent grant
TR01 Transfer of patent right
TR01 Transfer of patent right

Effective date of registration: 20240301

Address after: 519085 101, Building 5, Longyuan Smart Industrial Park, No. 2, Hagongda Road, Tangjiawan Town, High-tech Zone, Zhuhai City, Guangdong Province

Patentee after: ZHUHAI INSTITUTE OF ADVANCED TECHNOLOGY CHINESE ACADEMY OF SCIENCES Co.,Ltd.

Country or region after: China

Address before: 1068 No. 518055 Guangdong city in Shenzhen Province, Nanshan District City Xili University School Avenue

Patentee before: SHENZHEN INSTITUTES OF ADVANCED TECHNOLOGY CHINESE ACADEMY OF SCIENCES

Country or region before: China