CN117746636A - Smart city traffic command monitoring system - Google Patents
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Abstract
The invention relates to the technical field of intelligent city traffic guidance and monitoring, and in particular discloses a intelligent city traffic guidance and monitoring system, which comprises the following components: the system comprises a road congestion degree analysis module, a turn signal lamp regulation and control module, a cloud database and a vehicle passing prompt module, wherein the congestion degree analysis module and the vehicle passing prompt module are integrated; according to the invention, the control and the traffic prompt of each turn signal lamp in the next traffic time period are carried out according to the number of vehicles of each turn road corresponding to each intersection in the target city area, the license plate number and the running time point of the vehicles and the traffic information corresponding to each trunk road, so that the road congestion condition is monitored in real time, the excessive traffic jam in a certain direction is avoided, the traffic accident risk caused by the congestion is reduced, the vehicles are guided to run according to the optimal path, the unnecessary detours of the vehicles are reduced, and the traffic efficiency of the road is improved.
Description
Technical Field
The invention relates to the technical field of intelligent urban traffic guidance and monitoring, in particular to an intelligent urban traffic guidance and monitoring system.
Background
With the acceleration of urban traffic progress, urban traffic problems are increasingly prominent, and the traditional traffic guidance and monitoring often has the problems of low processing efficiency, limited monitoring range and the like, and cannot meet the requirements of modern urban traffic, so that in order to realize real-time urban traffic condition monitoring, intelligent guidance and monitoring are realized, and road traffic in a target urban area needs to be guided and monitored.
The existing method for commanding and monitoring road traffic in a target city area has the following problems: 1. the green light duration corresponding to each turn signal lamp of the crossroad is regulated and controlled currently mainly according to the traffic jam condition of the crossroad, the road jam condition of each turn road corresponding to the crossroad is not regulated and controlled, real-time monitoring of the road jam condition cannot be realized, waiting time of vehicles at the crossroad is increased, excessive traffic backlog in a certain direction cannot be avoided, thus the jam risk of the crossroad is improved, the traffic accident risk caused by jam is increased, and the traffic efficiency of the road is reduced.
2. For the merging situation of vehicles on each trunk road corresponding to the trunk road, currently, the jammed trunk road is temporarily blocked by combining the trunk road and the vehicle jam situation on the trunk road, the vehicles are informed to go to other trunk roads, the optimal entering trunk road is distributed to the vehicles without combining the passing distance between the trunk roads and the merging jam situation, and partial vehicles cannot be split, so that the jam situation cannot be relieved, meanwhile, the vehicles are not guided to run according to the optimal path, the unnecessary detouring of the vehicles is increased, the time of vehicle drivers is wasted, and when the emergency occurs, the emergency situation cannot be rapidly dealt with, so that the smooth traffic of the road cannot be kept, and the management efficiency of urban traffic is reduced.
Disclosure of Invention
In view of this, in order to solve the problems set forth in the above background art, a smart city traffic guidance and monitoring system is now proposed.
The aim of the invention can be achieved by the following technical scheme: the invention provides a smart city traffic control and monitoring system, which comprises: the road congestion degree analysis module is used for collecting the number of vehicles entering and exiting from the current passing time period of each steering road corresponding to each intersection in the target city area, the license plate number and the driving-in time point of each entering vehicle, and the license plate number and the driving-out time point of each exiting vehicle, and analyzing the road congestion degree of each steering road corresponding to each intersection in the current passing time period.
The turn signal lamp regulating and controlling module is used for extracting green light duration corresponding to each turn signal lamp of each intersection in the current passing time period in the target city area and regulating and controlling green light duration corresponding to each turn signal lamp of each intersection in the next passing time period.
And the cloud database is used for storing the reference floating green light duration corresponding to the unit road congestion level difference.
The merging congestion degree analysis module is used for extracting the entrance positions of all the arterial roads corresponding to all the arterial roads in the target urban area, collecting the arterial road images of all the arterial roads corresponding to all the arterial roads at all the monitoring time points corresponding to the current monitoring time period, collecting the traffic information corresponding to the merging areas of all the arterial roads corresponding to all the arterial roads in the current monitoring time period, and analyzing the merging congestion degree of all the arterial roads corresponding to all the arterial roads in the current monitoring time period.
And the vehicle passing prompt module is used for prompting the passing of the vehicles in the affiliated entrance area of each trunk road corresponding to each trunk road in the next passing time period.
Specifically, the analyzing the road congestion degree of each steering road corresponding to each intersection in the current passing time period includes the following specific analysis processes: a1, differentiating the number of vehicles entering and the number of vehicles exiting from each steering road corresponding to each crossroad in the current passing time period to obtain the number of blocked vehicles of each steering road corresponding to each crossroad in the current passing time period, and marking as epsilon ri Where r represents the number of the intersection, r=1, 2, g, i denotes the number of the steering road, i=1, 2,..n.
A2, comparing the license plate numbers of the vehicles driven in by the steering roads corresponding to the crossroads in the current passing time period with the license plate numbers of the vehicles driven out, and marking the vehicles corresponding to the same license plate numbers as comprehensive vehicles.
A3, according to the driving-in time point of each driving-in vehicle and the driving-out time point of each driving-out vehicle, obtaining the driving-in time point and the driving-out time point of each comprehensive vehicle, comparing the driving-in time point and the driving-out time point to obtain the passing duration of each comprehensive vehicle of each steering road corresponding to each crossroad in the current passing time period, and marking as T rij Where j represents the number of the integrated vehicle, j=1, 2,..m.
A4, calculating the road congestion degree beta of each steering road corresponding to each intersection in the current passing time period ri ，Wherein epsilon 'and T' respectively represent the number of congestion vehicles and the traffic duration, a, of which reference is set 1 And a 2 The set number of the blocked vehicles and the road congestion degree evaluation duty ratio weight corresponding to the passing duration are respectively represented, and m represents the number of the comprehensive vehicles.
Specifically, the green light duration corresponding to each turn signal lamp at each intersection in the next passing time period is regulated and controlled, and the specific regulation and control process is as follows: b1, marking green light time corresponding to each turn signal lamp of each intersection in the current passing time period in the target city area as
B2, extracting a reference floating green light time length corresponding to the unit road congestion level difference from the cloud database, and marking the reference floating green light time length as T 0 。
B3, setting green light time length corresponding to each turn signal lamp of each crossroad in the next passing time periodWhere β' represents the road congestion degree of the set reference.
B4, in conclusion, willValues of (2)As the green light duration corresponding to each turn signal lamp of each intersection in the next traffic time period.
Specifically, the traffic information includes the number of vehicles in the entry area and the number of vehicles in the exit area, and the number of license plates and the entry time points of the vehicles in the respective entry areas, and the number of license plates and the exit time points of the vehicles in the respective exit areas.
Specifically, the analyzing the merging congestion degree of each arterial road corresponding to each arterial road in the current monitoring time period includes the following specific analysis processes: c1, extracting the number of vehicles in the driving-in area and the number of vehicles in the driving-out area, the number of vehicles in the driving-in time point of the vehicles in the driving-in area and the number of vehicles in the driving-out time point of the vehicles in the driving-out area from the traffic information corresponding to the affiliated merging area of each arterial road in the current monitoring time period, and analyzing the congestion degree x of each arterial road corresponding to each arterial road in the affiliated merging area in the current monitoring time period according to the analysis mode of the congestion degree of each steering road corresponding to each crossroad in the current traffic time period qf Where q represents the number of the trunk, q=1, 2,..p, f represents the number of the trunk, f=1, 2,..l.
C2, calculating the branch road congestion delta of each branch road corresponding to each main road in the current monitoring time period according to the branch road image of each branch road corresponding to each main road in the current monitoring time period corresponding to each monitoring time point qf 。
C3, calculating the merging congestion degree omega of each arterial road corresponding to each arterial road in the current monitoring time period qf ，Wherein χ 'and δ' respectively represent the congestion degree of the incorporated area to which the set reference belongs and the congestion degree of the branch road, a 3 And a 4 The congestion degree of the associated merging area and the congestion degree of the branch road are set to correspond to each other, and e represents a natural constant.
Specifically, each branch corresponding to each arterial road is calculatedThe branch road congestion degree of the trunk road in the current monitoring time period is calculated by the following steps: d1, positioning the number of vehicles from the road images of the roads corresponding to the roads in the current monitoring time period and corresponding to the monitoring time points, extracting the maximum value from the vehicle images to obtain the maximum number of vehicles corresponding to the roads in the current monitoring time period, and recording the maximum number as tau qf 。
D2, positioning the vehicle distance between the vehicles from the road images of the roads corresponding to the roads in the current monitoring time period and the monitoring time points, and calculating the average value of the vehicle distance to obtain the average vehicle distance of the roads corresponding to the roads in the current monitoring time period, and recording as
D3, calculating the congestion delta of each arterial road corresponding to each arterial road in the current monitoring time period qf ，Wherein τ 'and L' Vehicle with a frame Respectively representing the number of vehicles and the distance between vehicles for which reference is set, a 5 And a 6 And respectively representing the set number of vehicles and the set vehicle distance corresponding road congestion degree evaluation duty ratio weight.
Specifically, the vehicle passing prompt is performed on each vehicle in the belonging entrance area of each arterial road corresponding to each arterial road in the next passing time period, and the specific prompt process is as follows: and E1, comparing the merging congestion degree of each trunk road corresponding to each trunk road in the current monitoring time period with the merging congestion degree of the set reference, and if the merging congestion degree of a trunk road corresponding to a certain trunk road in the current monitoring time period is greater than or equal to the merging congestion degree of the set reference, marking the trunk road as a congestion trunk road, otherwise marking the trunk road as an idle trunk road.
E2, temporarily blocking each congestion branch trunk road corresponding to each trunk road in the current monitoring time period in the next monitoring time period, and temporarily blocking a prompt on an electronic display screen at the entrance of each congestion branch trunk road.
E3, calculating the traffic adaptation degree between each congestion branch road corresponding to each main road and each target idle branch road corresponding to each main roadWhere z represents the number of a congested branch road, z=1, 2,..y, h represents the number of a target free branch road, h=1, 2,..x.
And E4, taking the target idle branch road corresponding to the maximum traffic adaptation degree as a driving-in branch road of each vehicle in the belonging entrance area of each congestion branch road in the next traffic time period, and carrying out driving-in branch road prompt on an electronic display screen at the entrance of each congestion branch road.
Specifically, the calculating the traffic adaptation degree between each congestion branch road corresponding to each main road and each target idle branch road corresponding to each main road includes the following specific calculating process: f1, obtaining the inlet positions of the congestion branch road and the idle branch road corresponding to each main road according to the inlet positions of the branch road corresponding to each main road in the target urban area, comparing the inlet positions to obtain the passing distance between the congestion branch road corresponding to each main road and the corresponding target idle branch road, and marking as L qzh 。
F2, marking the merging congestion degree of each target idle branch road corresponding to each congestion branch road corresponding to each main road in the current monitoring time period as xi qzh 。
F3, calculating the traffic adaptation degree between each congestion branch road corresponding to each main road and each target idle branch road corresponding to each main road Wherein L 'and ζ' respectively represent a passing distance and an incorporated congestion degree of the set reference, a 7 And a 8 And respectively representing the set passing distance and the corresponding passing adaptation degree evaluation duty ratio weight of the merging congestion degree.
Compared with the prior art, the embodiment of the invention has at least the following advantages or beneficial effects: (1) According to the invention, the traffic jam degree of each steering road in the current passing time period is analyzed according to the number of vehicles, the license plate numbers of the vehicles and the running time points of each steering road in the current passing time period, so that the green light time length corresponding to each steering signal lamp in the next passing time period is regulated and controlled, the road jam condition is monitored in real time, the waiting time of the vehicles at the intersection is reduced, the excessive traffic flow backlog in a certain direction is avoided, the jam risk of the intersection is reduced, the traffic accident risk caused by the jam is reduced, the passing efficiency of the road is improved, the green light time length is regulated according to the road jam condition, the traffic signal can be controlled more finely, and the scientificity and rationality of the traffic signal control are improved.
(2) According to the method, the device and the system, the merging congestion degree of each trunk road in the current monitoring time period is analyzed according to the trunk road image of each trunk road corresponding to each trunk road in the current monitoring time period and the traffic information corresponding to the merging area, so that each vehicle in the entrance area of each trunk road in the next traffic time period is subjected to vehicle traffic prompt, part of vehicles are shunted, the congestion condition is relieved, meanwhile, the vehicles are guided to run according to the optimal path, the unnecessary detouring of the vehicles is reduced, the time of vehicle drivers is saved, and when an emergency occurs, the emergency can be rapidly dealt with, so that the smooth traffic of the road is kept, and the management efficiency of urban traffic is improved.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings that are needed for the description of the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a schematic diagram showing the connection of the system modules according to the present invention.
Fig. 2 is a schematic view of an intersection according to the present invention.
FIG. 3 is a schematic view of the arterial road of the present invention.
Description of the drawings: 1. left steering road, 2, right steering road, 3, straight steering road, 4, main road, 5, branch road, 6, entrance of branch road, 7, belonging entrance area, 8, entrance of belonging merging area, 9, exit of belonging merging area.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1, the present invention provides a smart city traffic guidance monitoring system, comprising: the system comprises a road congestion degree analysis module, a turn signal lamp regulation and control module, a cloud database and a vehicle passing prompt module, wherein the congestion degree analysis module and the vehicle passing prompt module are integrated.
The road congestion degree analysis module is connected with the turn signal lamp regulation and control module, the integrated congestion degree analysis module is connected with the vehicle passing prompt module, and the turn signal lamp regulation and control module is connected with the cloud database.
Referring to fig. 2, the road congestion degree analysis module is configured to collect the number of vehicles entering and exiting from each turning road corresponding to each intersection in the target city area in the current traffic time period, the number of license plates of each entering vehicle and the time point of each exiting vehicle, and the number of license plates of each exiting vehicle and the time point of each exiting vehicle, and analyze the road congestion degree of each turning road corresponding to each intersection in the current traffic time period.
The steering road includes a left steering road, a right steering road and a straight steering road.
It should be further noted that, the collection modes of the number of vehicles entering and the number of vehicles exiting in the current passing time period of each steering road corresponding to each intersection in the target city area are as follows: the method comprises the steps of acquiring video images corresponding to an entrance and an exit through video monitoring cameras arranged at the junction of each steering road and the intersection of each intersection and each steering road and the corresponding intersection of each next intersection, identifying and counting vehicles through a video analysis technology, and recording the vehicles which exit at the exit in the same driving direction as the driving direction of the entrance as the vehicles which exit.
The license plate numbers and the driving-in time points of the driving-in vehicles and the license plate numbers and the driving-out time points of the driving-out vehicles are acquired through video monitoring devices installed at the entrance and the exit of each steering road respectively.
In a specific embodiment of the present invention, the analyzing the road congestion degree of each steering road corresponding to each intersection in the current traffic time period includes: a1, differentiating the number of vehicles entering and the number of vehicles exiting from each steering road corresponding to each crossroad in the current passing time period to obtain the number of blocked vehicles of each steering road corresponding to each crossroad in the current passing time period, and marking as epsilon ri Where r represents the number of the intersection, r=1, 2, g, i denotes the number of the steering road, i=1, 2,..n.
A2, comparing the license plate numbers of the vehicles driven in by the steering roads corresponding to the crossroads in the current passing time period with the license plate numbers of the vehicles driven out, and marking the vehicles corresponding to the same license plate numbers as comprehensive vehicles.
A3, according to the driving-in time point of each driving-in vehicle and the driving-out time point of each driving-out vehicle, obtaining the driving-in time point and the driving-out time point of each comprehensive vehicle, comparing the driving-in time point and the driving-out time point to obtain the passing duration of each comprehensive vehicle of each steering road corresponding to each crossroad in the current passing time period, and marking as T rij Where j represents the number of the integrated vehicle, j=1, 2,..m.
A4, calculating the road congestion degree beta of each steering road corresponding to each intersection in the current passing time period ri ，Wherein epsilon 'and T' respectively represent the number of congestion vehicles and the traffic duration, a, of which reference is set 1 And a 2 The set number of the blocked vehicles and the road congestion degree evaluation duty ratio weight corresponding to the passing duration are respectively represented, and m represents the number of the comprehensive vehicles.
The turn signal lamp regulating and controlling module is used for extracting green light duration corresponding to each turn signal lamp of each intersection in the current passing time period in the target city area and regulating and controlling green light duration corresponding to each turn signal lamp of each intersection in the next passing time period.
The green light duration corresponding to each turn signal light of each intersection in the target city area in the current passing time period is extracted from the signal light control system of each intersection in the target city area.
In a specific embodiment of the present invention, the green light duration corresponding to each turn signal lamp at each intersection in the next passing time period is regulated, and the specific regulation process is as follows: b1, marking green light time corresponding to each turn signal lamp of each intersection in the current passing time period in the target city area as
B2, extracting a reference floating green light time length corresponding to the unit road congestion level difference from the cloud database, and marking the reference floating green light time length as T 0 。
B3, setting green light time length corresponding to each turn signal lamp of each crossroad in the next passing time periodWhere β' represents the road congestion degree of the set reference.
B4, in conclusion, willThe value of (2) is set next for each intersectionAnd the green light duration corresponding to each turn signal lamp in the passing time period.
According to the embodiment of the invention, the traffic signal can be controlled more finely by analyzing the road congestion degree of each steering road in the current passing time period according to the number of vehicles, the license plate numbers of the vehicles and the running time points of each steering road in the current passing time period corresponding to each crossroad in the target urban area, so that the green light time length corresponding to each steering signal lamp in the next passing time period is regulated and controlled, the road congestion condition is monitored in real time, the waiting time of the vehicles at the crossroad is reduced, the excessive traffic flow in a certain direction is avoided, the congestion risk of the crossroad is reduced, the traffic accident risk caused by congestion is reduced, the passing efficiency of the road is improved, and the green light time length is regulated according to the road congestion condition, so that the scientificity and rationality of traffic signal control are improved.
The cloud database is used for storing the reference floating green light duration corresponding to the unit road congestion level difference.
Referring to fig. 3, the merging congestion degree analysis module is configured to extract an entry position of each arterial road corresponding to each arterial road in the target urban area, collect arterial road images of each arterial road corresponding to each arterial road at each monitoring time point in the current monitoring time period, collect traffic information corresponding to a merging area of each arterial road corresponding to each arterial road in the current monitoring time period, and analyze merging congestion degree of each arterial road corresponding to each arterial road in the current monitoring time period.
It should be noted that, the entrance positions of the arterial roads corresponding to the arterial roads in the target city area are extracted from the road management system of the arterial roads in the target city area, and the arterial road images of the arterial roads corresponding to the monitoring time points in the current monitoring time period are acquired by the cameras arranged at the arterial roads corresponding to the arterial roads.
In a specific embodiment of the present invention, the traffic information includes the number of vehicles in the entry area and the number of vehicles in the exit area, and the number of vehicles in each entry area and the point in time of entry, and the number of vehicles in each exit area and the point in time of exit.
The number of vehicles in the entering area and the number of vehicles in the exiting area are acquired through infrared sensors arranged at the entrance and the exit of the merging area of each trunk corresponding to each trunk, and when the vehicles pass through, the sensors sense the vehicles and trigger a counter, so that the number of vehicles in the entering area and the number of vehicles in the exiting area are counted.
The license plate number and the driving-in time point of the vehicle in each driving-in area and the license plate number and the driving-out time point of the vehicle in each driving-out area are acquired through video monitoring equipment installed at the entrance and the exit of the merging area of each trunk corresponding to each trunk respectively.
In a specific embodiment of the present invention, the analyzing the integrated congestion degree of each arterial road corresponding to each arterial road in the current monitoring time period includes: c1, extracting the number of vehicles in the driving-in area and the number of vehicles in the driving-out area, the number of vehicles in the driving-in time point of the vehicles in the driving-in area and the number of vehicles in the driving-out time point of the vehicles in the driving-out area from the traffic information corresponding to the affiliated merging area of each arterial road in the current monitoring time period, and analyzing the congestion degree x of each arterial road corresponding to each arterial road in the affiliated merging area in the current monitoring time period according to the analysis mode of the congestion degree of each steering road corresponding to each crossroad in the current traffic time period qf Where q represents the number of the trunk, q=1, 2,..p, f represents the number of the trunk, f=1, 2,..l.
C2, calculating the branch road congestion delta of each branch road corresponding to each main road in the current monitoring time period according to the branch road image of each branch road corresponding to each main road in the current monitoring time period corresponding to each monitoring time point qf 。
In a specific embodiment of the present invention, the congestion degree of each arterial road corresponding to each arterial road in the current monitoring time period is calculated, and a specific meter is providedThe calculation process is as follows: d1, positioning the number of vehicles from the road images of the roads corresponding to the roads in the current monitoring time period and corresponding to the monitoring time points, extracting the maximum value from the vehicle images to obtain the maximum number of vehicles corresponding to the roads in the current monitoring time period, and recording the maximum number as tau qf 。
The number of vehicles is obtained by identifying and counting the vehicles in the road image through image analysis software.
D2, positioning the vehicle distance between the vehicles from the road images of the roads corresponding to the roads in the current monitoring time period and the monitoring time points, and calculating the average value of the vehicle distance to obtain the average vehicle distance of the roads corresponding to the roads in the current monitoring time period, and recording as
The distance between the vehicles is obtained by measuring the distance between the vehicles through a measuring tool in the image analysis software.
D3, calculating the congestion delta of each arterial road corresponding to each arterial road in the current monitoring time period qf ，Wherein τ 'and L' Vehicle with a frame Respectively representing the number of vehicles and the distance between vehicles for which reference is set, a 5 And a 6 And respectively representing the set number of vehicles and the set vehicle distance corresponding road congestion degree evaluation duty ratio weight.
C3, calculating the merging congestion degree omega of each arterial road corresponding to each arterial road in the current monitoring time period qf ，Wherein χ 'and δ' respectively represent the congestion degree of the incorporated area to which the set reference belongs and the congestion degree of the branch road, a 3 And a 4 Respectively representing the corresponding merging of the congestion degree of the set merging area and the congestion degree of the branch roadThe crowding degree evaluates the duty ratio weight, e represents a natural constant.
The vehicle passing prompting module is used for prompting the passing of the vehicles in the affiliated entrance area of each trunk road corresponding to each trunk road in the next passing time period.
In a specific embodiment of the present invention, the vehicle traffic prompt is performed on each vehicle in the belonging entrance area of each arterial road corresponding to each arterial road in the next traffic time period, and the specific prompt process is as follows: and E1, comparing the merging congestion degree of each trunk road corresponding to each trunk road in the current monitoring time period with the merging congestion degree of the set reference, and if the merging congestion degree of a trunk road corresponding to a certain trunk road in the current monitoring time period is greater than or equal to the merging congestion degree of the set reference, marking the trunk road as a congestion trunk road, otherwise marking the trunk road as an idle trunk road.
E2, temporarily blocking each congestion branch trunk road corresponding to each trunk road in the current monitoring time period in the next monitoring time period, and temporarily blocking a prompt on an electronic display screen at the entrance of each congestion branch trunk road.
E3, calculating the traffic adaptation degree between each congestion branch road corresponding to each main road and each target idle branch road corresponding to each main roadWhere z represents the number of a congested branch road, z=1, 2,..y, h represents the number of a target free branch road, h=1, 2,..x.
The traveling direction of the vehicle in each trunk road is taken as a positive direction, and each free branch road in the same traveling direction as and in front of each congestion branch road is taken as each target free branch road.
In a specific embodiment of the present invention, the calculating the traffic adaptation degree between each congestion branch road corresponding to each trunk road and each target idle branch road corresponding to each trunk road includes the following specific calculating processes: f1, obtaining each congestion branch road and each idle branch corresponding to each main road according to the inlet position of each branch road corresponding to each main road in the target city areaThe entrance positions of the main roads are compared to obtain the passing distance between each congestion branch road corresponding to each main road and each target idle branch road corresponding to each main road, and the passing distance is recorded as L qzh 。
The traffic distance is obtained from the navigation system by inputting the entry positions of the congestion branch road corresponding to each main road and the target free branch road corresponding to each main road into the navigation system.
F2, marking the merging congestion degree of each target idle branch road corresponding to each congestion branch road corresponding to each main road in the current monitoring time period as xi qzh 。
It should be noted that, according to the merging congestion degree of each idle branch road corresponding to each main road in the current monitoring time period, the merging congestion degree of each target idle branch road corresponding to each congestion branch road corresponding to each main road in the current monitoring time period is obtained.
F3, calculating the traffic adaptation degree between each congestion branch road corresponding to each main road and each target idle branch road corresponding to each main road Wherein L 'and ζ' respectively represent a passing distance and an incorporated congestion degree of the set reference, a 7 And a 8 And respectively representing the set passing distance and the corresponding passing adaptation degree evaluation duty ratio weight of the merging congestion degree.
And E4, taking the target idle branch road corresponding to the maximum traffic adaptation degree as a driving-in branch road of each vehicle in the belonging entrance area of each congestion branch road in the next traffic time period, and carrying out driving-in branch road prompt on an electronic display screen at the entrance of each congestion branch road.
According to the embodiment of the invention, the merging congestion degree of each trunk road in the current monitoring time period is analyzed according to the trunk road image of each trunk road corresponding to each trunk road in the current monitoring time period and the traffic information corresponding to the merging area, so that each vehicle in the entering area of each trunk road in the next passing time period is subjected to vehicle passing prompt, part of vehicles are shunted, the congestion condition is relieved, meanwhile, the vehicles are guided to run according to the optimal path, the unnecessary detouring of the vehicles is reduced, the time of vehicle drivers is saved, and when an emergency occurs, the emergency can be rapidly dealt with, so that the smooth passing of the road is kept, and the management efficiency of urban traffic is improved.
The foregoing is merely illustrative and explanatory of the principles of this invention, as various modifications and additions may be made to the specific embodiments described, or similar arrangements may be substituted by those skilled in the art, without departing from the principles of this invention or beyond the scope of this invention as defined in the claims.
Claims (8)
1. A smart city traffic control monitoring system, comprising:
the road congestion degree analysis module is used for collecting the number of vehicles entering and exiting from the current passing time period of each steering road corresponding to each intersection in the target city area, the license plate number and the driving-in time point of each entering vehicle, and the license plate number and the driving-out time point of each exiting vehicle, and analyzing the road congestion degree of each steering road corresponding to each intersection in the current passing time period;
the system comprises a turn signal lamp regulation and control module, a control module and a control module, wherein the turn signal lamp regulation and control module is used for extracting green light time corresponding to each turn signal lamp of each intersection in a current passing time period in a target city area and regulating and controlling green light time corresponding to each turn signal lamp of each intersection in a next passing time period;
the cloud database is used for storing the reference floating green light duration corresponding to the unit road congestion level difference;
the merging congestion degree analysis module is used for extracting the entrance positions of all the arterial roads corresponding to all the arterial roads in the target urban area, collecting the arterial road images of all the arterial roads corresponding to all the arterial roads at all the monitoring time points corresponding to the current monitoring time period, collecting the traffic information corresponding to the merging areas of all the arterial roads corresponding to all the arterial roads in the current monitoring time period, and analyzing the merging congestion degree of all the arterial roads corresponding to all the arterial roads in the current monitoring time period;
and the vehicle passing prompt module is used for prompting the passing of the vehicles in the affiliated entrance area of each trunk road corresponding to each trunk road in the next passing time period.
2. The smart city traffic control monitoring system of claim 1, wherein: the specific analysis process is as follows:
a1, differentiating the number of vehicles entering and the number of vehicles exiting from each steering road corresponding to each crossroad in the current passing time period to obtain the number of blocked vehicles of each steering road corresponding to each crossroad in the current passing time period, and marking as epsilon ri Where r represents the number of the intersection, r=1, 2, g, i denotes the number of the steering road, i=1, 2, n;
a2, comparing the license plate numbers of the vehicles driven in and the license plate numbers of the vehicles driven out of the steering roads corresponding to the crossroads in the current passing time period, and marking the vehicles corresponding to the same license plate numbers as comprehensive vehicles;
a3, according to the driving-in time point of each driving-in vehicle and the driving-out time point of each driving-out vehicle, obtaining the driving-in time point and the driving-out time point of each comprehensive vehicle, comparing the driving-in time point and the driving-out time point to obtain the passing duration of each comprehensive vehicle of each steering road corresponding to each crossroad in the current passing time period, and marking as T rij Where j represents the number of the integrated vehicle, j=1, 2,..m;
a4, calculating the road congestion degree beta of each steering road corresponding to each intersection in the current passing time period ri ，Wherein epsilon 'and T' respectively represent the number of congestion vehicles and the traffic duration, a, of which reference is set 1 And a 2 The set number of the blocked vehicles and the road congestion degree evaluation duty ratio weight corresponding to the passing duration are respectively represented, and m represents the number of the comprehensive vehicles.
3. The smart city traffic control monitoring system of claim 2, wherein: the green light duration corresponding to each turn signal lamp of each crossroad in the next passing time period is regulated and controlled, and the specific regulation and control process is as follows:
b1, marking green light time corresponding to each turn signal lamp of each intersection in the current passing time period in the target city area as
B2, extracting a reference floating green light time length corresponding to the unit road congestion level difference from the cloud database, and marking the reference floating green light time length as T 0 ；
B3, setting green light time length corresponding to each turn signal lamp of each crossroad in the next passing time period Wherein, beta' represents the road congestion degree of the set reference;
b4, in conclusion, willThe value of (2) is taken as the green light duration corresponding to each turn signal lamp of each intersection in the next passing time period.
4. The smart city traffic control monitoring system of claim 1, wherein: the traffic information includes the number of vehicles in the entry area and the number of vehicles in the exit area, and the number of vehicles in each entry area and the point in time of entry, and the number of vehicles in each exit area and the point in time of exit.
5. The smart city traffic control monitoring system of claim 4, wherein: the method comprises the steps of analyzing the merging congestion degree of each trunk road corresponding to each trunk road in the current monitoring time period, wherein the specific analysis process is as follows:
c1, extracting the number of vehicles in the driving-in area and the number of vehicles in the driving-out area, the number of vehicles in the driving-in time point of the vehicles in the driving-in area and the number of vehicles in the driving-out time point of the vehicles in the driving-out area from the traffic information corresponding to the affiliated merging area of each arterial road in the current monitoring time period, and analyzing the congestion degree x of each arterial road corresponding to each arterial road in the affiliated merging area in the current monitoring time period according to the analysis mode of the congestion degree of each steering road corresponding to each crossroad in the current traffic time period qf Wherein q represents the number of the trunk, q=1, 2,..p, f represents the number of the branch, f=1, 2,..l;
c2, calculating the branch road congestion delta of each branch road corresponding to each main road in the current monitoring time period according to the branch road image of each branch road corresponding to each main road in the current monitoring time period corresponding to each monitoring time point qf ；
C3, calculating the merging congestion degree omega of each arterial road corresponding to each arterial road in the current monitoring time period qf ，Wherein χ 'and δ' respectively represent the congestion degree of the incorporated area to which the set reference belongs and the congestion degree of the branch road, a 3 And a 4 The congestion degree of the associated merging area and the congestion degree of the branch road are set to correspond to each other, and e represents a natural constant.
6. The smart city traffic control monitoring system of claim 5, wherein: the method for calculating the congestion degree of each arterial road in the current monitoring time period comprises the following steps of:
d1, positioning the number of vehicles from the road images of the roads corresponding to the roads in the current monitoring time period and corresponding to the monitoring time points, extracting the maximum value from the vehicle images to obtain the maximum number of vehicles corresponding to the roads in the current monitoring time period, and recording the maximum number as tau qf ；
D2, positioning the vehicle distance between the vehicles from the road images of the roads corresponding to the roads in the current monitoring time period and the monitoring time points, and calculating the average value of the vehicle distance to obtain the average vehicle distance of the roads corresponding to the roads in the current monitoring time period, and recording as
D3, calculating the congestion delta of each arterial road corresponding to each arterial road in the current monitoring time period qf ，Wherein τ 'and L' Vehicle with a frame Respectively representing the number of vehicles and the distance between vehicles for which reference is set, a 5 And a 6 And respectively representing the set number of vehicles and the set vehicle distance corresponding road congestion degree evaluation duty ratio weight.
7. The smart city traffic control monitoring system of claim 5, wherein: the vehicle passing prompt is carried out on each vehicle in the belonging entrance area of each trunk road corresponding to each trunk road in the next passing time period, and the specific prompt process is as follows:
e1, comparing the merging congestion degree of each trunk road corresponding to each trunk road in the current monitoring time period with the merging congestion degree of the set reference, and if the merging congestion degree of a trunk road corresponding to a certain trunk road in the current monitoring time period is greater than or equal to the merging congestion degree of the set reference, marking the trunk road as a congestion trunk road, otherwise marking the trunk road as an idle trunk road;
e2, temporarily blocking each congestion branch trunk road corresponding to each trunk road in the current monitoring time period in the next monitoring time period, and temporarily blocking a prompt on an electronic display screen at the entrance of each congestion branch trunk road;
e3, calculating the traffic adaptation degree between each congestion branch road corresponding to each main road and each target idle branch road corresponding to each main roadWherein z represents the number of a congested branch road, z=1, 2,., y, h represents the number of a target free branch road, h=1, 2,., x;
and E4, taking the target idle branch road corresponding to the maximum traffic adaptation degree as a driving-in branch road of each vehicle in the belonging entrance area of each congestion branch road in the next traffic time period, and carrying out driving-in branch road prompt on an electronic display screen at the entrance of each congestion branch road.
8. The smart city traffic control monitoring system of claim 7, wherein: the method comprises the following steps of calculating the traffic adaptation degree between each congestion branch road corresponding to each main road and each target idle branch road corresponding to each main road, wherein the specific calculation process comprises the following steps:
f1, obtaining the inlet positions of the congestion branch road and the idle branch road corresponding to each main road according to the inlet positions of the branch road corresponding to each main road in the target urban area, comparing the inlet positions to obtain the passing distance between the congestion branch road corresponding to each main road and the corresponding target idle branch road, and marking as L qzh ；
F2, marking the merging congestion degree of each target idle branch road corresponding to each congestion branch road corresponding to each main road in the current monitoring time period as xi qzh ；
F3, calculating the traffic adaptation degree between each congestion branch road corresponding to each main road and each target idle branch road corresponding to each main road Wherein L 'and ζ' respectively represent a passing distance and an incorporated congestion degree of the set reference, a 7 And a 8 And respectively representing the set passing distance and the corresponding passing adaptation degree evaluation duty ratio weight of the merging congestion degree.
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