CN107993439B - Intelligent traffic management system - Google Patents
Intelligent traffic management system Download PDFInfo
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- CN107993439B CN107993439B CN201711299490.XA CN201711299490A CN107993439B CN 107993439 B CN107993439 B CN 107993439B CN 201711299490 A CN201711299490 A CN 201711299490A CN 107993439 B CN107993439 B CN 107993439B
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/09—Arrangements for giving variable traffic instructions
- G08G1/091—Traffic information broadcasting
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
- G08G1/0125—Traffic data processing
- G08G1/0133—Traffic data processing for classifying traffic situation
Abstract
The invention provides an intelligent traffic management system which comprises a monitoring platform, a communication system and a user terminal, wherein the monitoring platform and the user terminal exchange data through the communication system, the monitoring platform is used for monitoring traffic conditions in real time and predicting traffic flows, the user terminal is used for acquiring traffic flow prediction information from the monitoring platform, and the user terminal comprises a central processing unit, a receiving module, a storage module, a display module, a voice module and an early warning module, wherein the central processing unit is respectively connected with the receiving module, the storage module, the display module, the voice module and the early warning module and is used for controlling the receiving module, the storage module, the display module, the voice module and the early warning module. The invention has the beneficial effects that: the method and the system realize good communication between the monitoring platform and the user terminal, realize effective management of traffic information and contribute to relieving traffic jam.
Description
Technical Field
The invention relates to the technical field of traffic management, in particular to an intelligent traffic management system.
Background
The urbanization process brings many problems and challenges such as air pollution, energy consumption, backward planning, traffic jam and the like while endowing people with modern life. Among them, the traffic problem has been one of the major problems affecting the development of cities. The complexity of the urban road network and its surrounding spatial environment makes it more difficult to solve the urban traffic problem.
The urban road network is a complex network system composed of road sections and intersections among the road sections, and the traffic flow is a traffic phenomenon attached to the road network and reflects the process of moving vehicles along the road. Therefore, urban traffic flow is largely affected by road networks. The urban traffic flow is analyzed based on the view angle of the urban road network, and accurate traffic flow prediction is carried out, so that effective traffic management is realized.
Disclosure of Invention
In view of the above problems, the present invention aims to provide an intelligent traffic management system.
The purpose of the invention is realized by adopting the following technical scheme:
the utility model provides an intelligent traffic management system, including monitoring platform, communication system and user terminal, monitoring platform and user terminal carry out data interchange through communication system, monitoring platform is used for carrying out real time monitoring to the traffic condition to predict the traffic flow, user terminal is used for obtaining from monitoring platform traffic flow prediction information, user terminal includes central processing unit, receiving module, storage module, display module, voice module and early warning module, central processing unit respectively with receiving module, storage module, display module, voice module and early warning module are connected, are used for controlling receiving module, storage module, display module, voice module and early warning module.
The invention has the beneficial effects that: the method and the system realize good communication between the monitoring platform and the user terminal, realize effective management of traffic information and contribute to relieving traffic jam.
Drawings
The invention is further illustrated by means of the attached drawings, but the embodiments in the drawings do not constitute any limitation to the invention, and for a person skilled in the art, other drawings can be obtained on the basis of the following drawings without inventive effort.
FIG. 1 is a schematic structural view of the present invention;
reference numerals:
monitoring platform 1, communication system 2, user terminal 3.
Detailed Description
The invention is further described with reference to the following examples.
Referring to fig. 1, the intelligent traffic management system of this embodiment includes a monitoring platform 1, a communication system 2 and a user terminal 3, where the monitoring platform 1 and the user terminal 3 exchange data through the communication system 2, the monitoring platform 1 is configured to monitor a traffic condition in real time and predict a traffic flow, the user terminal 3 is configured to obtain traffic flow prediction information from the monitoring platform 1, and the user terminal 3 includes a central processing unit, a receiving module, a storage module, a display module, a voice module and an early warning module, where the central processing unit is connected to the receiving module, the storage module, the display module, the voice module and the early warning module, and is configured to control the receiving module, the storage module, the display module, the voice module and the early warning module.
According to the embodiment, good communication between the monitoring platform and the user terminal is realized, effective management of traffic information is realized, and traffic jam is relieved.
Preferably, the receiving module is configured to receive traffic flow prediction information transmitted by the monitoring platform 1, the storage module is configured to store the traffic flow prediction information, the display module is configured to display the traffic flow prediction information, the voice module is configured to broadcast the traffic flow prediction information in a voice manner, and the early warning module is configured to send a congestion early warning according to the traffic flow prediction information.
The user terminal of the preferred embodiment realizes early warning and voice broadcast of traffic jam and improves user experience.
Preferably, the monitoring platform 1 includes a primary processing module, a secondary processing module, a tertiary processing module, a quaternary processing module and a quintic processing module, the primary processing module is configured to construct an urban road network model, the secondary processing module is configured to monitor urban road traffic flow according to the urban road network model to obtain a traffic flow monitoring result, the tertiary processing module is configured to measure importance of intersections in the urban road network according to the urban road network model to obtain an intersection importance measurement result, the quaternary processing module is configured to analyze correlations between intersections and traffic flow according to the traffic flow monitoring result and the intersection importance measurement result to obtain intersection correlation factors, and the quintic processing module is configured to predict traffic flow according to the intersection correlation factors; the primary processing module is used for constructing an urban road network model, and specifically comprises the following steps: the road traffic network is represented by (V, B), where V is a node of the graph and represents an intersection in the road network, and B is an edge of the graph and represents a connection link between intersections in the road network.
The monitoring platform of the preferred embodiment realizes urban traffic flow prediction by constructing an urban road network model, and provides powerful support for an unmanned system; the urban road network model constructed by the primary processing module is simple, and abstracts intersections and roads, thereby laying a foundation for subsequent traffic monitoring and analysis.
Preferably, the secondary processing module is configured to monitor the urban road traffic flow according to an urban road network model, and specifically includes: and monitoring the traffic flow of each intersection and the sum of the traffic flows of all the intersections in each time period by taking the intersections as traffic flow monitoring points.
The third processing module comprises a first processing submodule, a second processing submodule and a third processing submodule, the first processing submodule is used for obtaining a first metric value of the intersection, the second processing submodule is used for obtaining a second metric value of the intersection, and the third processing submodule is used for carrying out comprehensive measurement on the importance of the intersection according to the first metric value and the second metric value;
the primary processing submodule is used for acquiring a first metric value of the intersection: in the formula, MH1(i) Representing a first metric value of intersection i, n representing the number of intersections in the road traffic network, x if there is a road connection between intersection i and intersection jij1, otherwise xij0; the secondary processing submodule is used for acquiring a second metric value of the intersection:in the formula, MH2(i) A second metric representing intersection i, d (s, t represents the number of shortest paths between intersection s and intersection t, di(s, t) represents the number of shortest paths between intersection s and intersection t that pass through intersection i; the cubic processing submodule is used for carrying out comprehensive measurement on the importance of the road junction according to the first measurement value and the second measurement value: calculating the comprehensive measurement value of the intersection: in the formula, MH (i) represents the comprehensive measurement value of the intersection i; the larger the comprehensive measurement value of the intersection is, the more important the intersection is。
The preferred embodiment realizes the measurement of the importance of the intersection in the urban road network through the three-time processing module, specifically, the first measurement value considers the connectivity of the intersection, the second measurement value considers the number of shortest paths passing through the intersection, and the importance of the intersection is measured by calculating the comprehensive measurement value, so that the importance of the intersection is more accurately measured.
Preferably, the fourth-time processing module is configured to analyze the correlation between the intersection and the traffic flow according to the traffic flow monitoring result and the intersection importance measurement result, and specifically includes: the method comprises the following steps of (1) carrying out grade division on a road, and sequentially dividing the road grade into a main road, a secondary road and a branch road; calculating the progress changing quantity value of the intersection according to the road grade and the comprehensive measurement value of the intersection:in the formula, RU (i) represents the progress rate change value of the intersection i, y represents an influence factor related to the road grade, and the higher the road grade is, the larger y is, and 0y is less than or equal to 1; analyzing the correlation between the intersection improvement metric value and the traffic flow according to the intersection improvement metric value and the traffic flow monitoring result to obtain an intersection correlation coefficient; the fifth-time processing module is used for predicting traffic flow according to the intersection related coefficient, and specifically comprises the following steps: and selecting the intersection with the correlation coefficient larger than the set threshold value to predict the traffic flow, wherein the larger the value of the rate of change of the intersection is, the larger the traffic flow of the intersection is.
In the preferred embodiment, the progress rate changing value of the intersection is calculated through the quartic processing module, so that a measurement result of the importance of the intersection more conforming to the actual situation is obtained, and a foundation is laid for subsequent traffic flow prediction by obtaining the correlation coefficient of the intersection and the traffic flow.
The intelligent traffic management system is adopted to carry out traffic management, five city experiments, namely city 1, city 2, city 3, city 4 and city 5 are selected, the traffic management efficiency and the traffic management cost are counted, and compared with the existing vehicle navigation system, the intelligent traffic management system has the following beneficial effects:
| traffic management efficiency enhancement | Traffic management cost reduction | |
| City 1 | 29％ | 27％ |
| City 2 | 27％ | 26％ |
| City 3 | 26％ | 26％ |
| City 4 | 25％ | 24％ |
| City 5 | 24％ | 22％ |
Finally, it should be noted that the above embodiments are only used for illustrating the technical solutions of the present invention, and not for limiting the protection scope of the present invention, although the present invention is described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that modifications or equivalent substitutions can be made on the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention.
Claims (1)
1. An intelligent traffic management system is characterized by comprising a monitoring platform, a communication system and a user terminal, wherein the monitoring platform and the user terminal exchange data through the communication system, the monitoring platform is used for monitoring traffic conditions in real time and predicting traffic flows, the user terminal is used for acquiring traffic flow prediction information from the monitoring platform, the user terminal comprises a central processing unit, a receiving module, a storage module, a display module, a voice module and an early warning module, the central processing unit is respectively connected with the receiving module, the storage module, the display module, the voice module and the early warning module and is used for controlling the receiving module, the storage module, the display module, the voice module and the early warning module, the receiving module is used for receiving the traffic flow prediction information transmitted by the monitoring platform, and the storage module is used for storing the traffic flow prediction information, the display module is used for displaying the traffic flow prediction information, the voice module is used for broadcasting the traffic flow prediction information in a voice mode, and the early warning module is used for sending out congestion early warning according to the traffic flow prediction information; the monitoring platform (1) comprises a primary processing module, a secondary processing module, a tertiary processing module, a quaternary processing module and a quintic processing module, wherein the primary processing module is used for constructing an urban road network model, the secondary processing module is used for monitoring urban road traffic flow according to the urban road network model to obtain a traffic flow monitoring result, the tertiary processing module is used for measuring the importance of intersections in the urban road network according to the urban road network model to obtain an intersection importance measurement result, the quaternary processing module is used for analyzing the correlation between the intersections and the traffic flow according to the traffic flow monitoring result and the intersection importance measurement result to obtain an intersection correlation factor, and the quintic processing module is used for predicting the traffic flow according to the intersection correlation factor; the primary processing module is used for constructing an urban road network model, and specifically comprises the following steps: the road traffic network is represented by (V, B), where V is a node of the graph and represents an intersection in the road network, and B is an edge of the graph and represents a roadA connection segment between intersections in the network; the secondary processing module is used for monitoring the traffic flow of the urban road according to the urban road network model, and specifically comprises the following steps: monitoring the traffic flow of each intersection and the sum of the traffic flows of all intersections in each time period by taking the intersections as traffic flow monitoring points; the third processing module comprises a first processing submodule, a second processing submodule and a third processing submodule, the first processing submodule is used for obtaining a first metric value of the intersection, the second processing submodule is used for obtaining a second metric value of the intersection, and the third processing submodule is used for carrying out comprehensive measurement on the importance of the intersection according to the first metric value and the second metric value; the primary processing submodule is used for acquiring a first metric value of the intersection:in the formula, MH1(i) Representing a first metric value of intersection i, n representing the number of intersections in the road traffic network, x if there is a road connection between intersection i and intersection jij1, otherwise xij0; the secondary processing submodule is used for acquiring a second metric value of the intersection:in the formula, MH2(i) A second metric representing intersection i, d (s, t) representing the number of shortest paths between intersection s and intersection t, di(s, t) represents the number of shortest paths between intersection s and intersection t that pass through intersection i; the cubic processing submodule is used for carrying out comprehensive measurement on the importance of the road junction according to the first measurement value and the second measurement value: calculating the comprehensive measurement value of the intersection:in the formula, MH (i) represents the comprehensive measurement value of the intersection i; the larger the comprehensive measurement value of the intersection is, the more important the intersection is; the quartic processing module is used for analyzing the relevance of the intersection and the traffic flow according to the traffic flow monitoring result and the intersection importance measurement result, and specifically comprises the following steps: to the roadDividing the road grade into a main road, a secondary road and a branch road in sequence; calculating the progress changing quantity value of the intersection according to the road grade and the comprehensive measurement value of the intersection:in the formula, RU (i) represents the progress rate change value of the intersection i, y represents an influence factor related to the road grade, and the higher the road grade is, the larger y is, and the y is more than or equal to 0 and less than or equal to 1; analyzing the correlation between the intersection improvement metric value and the traffic flow according to the intersection improvement metric value and the traffic flow monitoring result to obtain an intersection correlation coefficient; the fifth-time processing module is used for predicting traffic flow according to the intersection related coefficient, and specifically comprises the following steps: and selecting the intersection with the correlation coefficient larger than the set threshold value to predict the traffic flow, wherein the larger the value of the rate of change of the intersection is, the larger the traffic flow of the intersection is.
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