CN103593973B - A kind of urban road traffic situation assessment system - Google Patents

Abstract

The invention discloses an urban road traffic situation assessment system, which includes a data acquisition subsystem, a cloud storage subsystem, a traffic situation assessment subsystem, and a traffic information release subsystem; Collect the initial traffic flow information; the cloud storage subsystem stores the initial traffic flow information in the form of cloud storage, and manages the users of the urban road traffic situation assessment system and the initial traffic flow information; the traffic situation assessment subsystem predicts the initial traffic flow information processing, repairing the missing initial traffic flow information within 5 consecutive sampling times; and after merging the complete traffic flow information and the repaired traffic flow information, the cloud method and rough set method are used to determine the current traffic situation; the traffic information release The subsystem publishes the current traffic situation to the public. The invention has the characteristics of high reliability, precision and real-time performance, and can be widely used in traffic evaluation.

Description

An Evaluation System of Urban Road Traffic Situation

technical field

The invention relates to evaluation technology, in particular to an evaluation system for urban road traffic situation.

Background technique

In recent years, with the development of the economy, the rapid growth of urban car ownership has brought enormous pressure to urban traffic operations, and urban road congestion has become more and more serious. According to statistics, the economic loss caused by traffic congestion in the United States is about 41 billion U.S. dollars every year, and the economic losses caused by traffic congestion in nine major Canadian cities are between 2.3 billion U.S. dollars and 3.7 billion U.S. dollars each year, and so on. Based on these problems, traffic situation assessment has become an urgent problem.

At present, traffic situation assessment has been applied in developed countries and regions at home and abroad. For example, the traffic status assessment based on GPS floating vehicles does not combine the resources of GPS floating vehicles and the resources of road fixed sensors, but only uses GPS floating vehicle data as single-source data, so the traffic status assessment based on GPS floating vehicles is reliable. Poor performance and precision. In addition, some research institutions at home and abroad use multi-source sensor information fusion technology for traffic status recognition, but the research results have not yet been maturely applied.

The application number is 200910237285.X, and the name of the invention is "A Method for Expressway Traffic Status Recognition Based on Information Fusion". The Chinese invention patent application adopts the decision-making method to establish a binary tree structure for traffic status recognition, and obtains the final fusion result step by step. However, this patent application needs to carry out sample training step by step, which makes it have a large amount of calculation and poor real-time performance.

In the prior art, the traffic state recognition technology has problems such as poor reliability, accuracy, and real-time performance.

Contents of the invention

In view of this, the main purpose of the present invention is to provide an urban road traffic situation assessment system with high reliability, precision and real-time performance.

In order to achieve the above object, the technical scheme proposed by the present invention is:

An urban road traffic situation assessment system, including a data acquisition subsystem, a cloud storage subsystem, a traffic situation assessment subsystem, and a traffic information release subsystem; wherein,

The data acquisition subsystem is used to collect initial traffic flow information through GPS floating vehicles and fixed detectors including coil detectors and microwave detectors installed on the same section of urban roads, and send the initial traffic flow information to the cloud storage subsystem .

The cloud storage subsystem is used to store the initial traffic flow information sent by the data acquisition subsystem in a cloud storage manner; it is also used to manage the users of the urban road traffic situation assessment system and the initial traffic flow information.

The traffic situation assessment subsystem is used to preprocess the initial traffic flow information read from the cloud storage subsystem to obtain complete traffic flow information; to repair the missing initial traffic flow information within 5 consecutive sampling times to obtain Obtain the repaired traffic flow information; after integrating the complete traffic flow information and the repaired traffic flow information, the cloud method and rough set method are used to determine the current traffic situation.

The traffic information release subsystem is used to release the current traffic situation to the public.

To sum up, in the urban road traffic situation assessment system of the present invention, the cloud storage subsystem realizes the effective storage of massive initial traffic flow information. The traffic situation assessment subsystem preprocesses the initial traffic flow information to screen out the complete traffic flow information and repair the incomplete traffic flow information; after integrating the complete traffic flow information and the repaired traffic flow information, the cloud method is used to Determine the current traffic situation with the rough set method; finally, the traffic information publishing subsystem announces the current traffic situation to the public. Because the urban road traffic situation evaluation system of the present invention adopts preprocessing measures, some unreasonable information in the initial traffic flow information is deleted, so that the sampling information is more accurate; the incomplete information of the traffic flow is repaired, so that the information participating in the evaluation is more reliable , accuracy, and strong real-time performance; the method of the present invention adopts the cloud method and the rough set method for evaluation at the end, so that the reliability, precision and real-time performance of urban road traffic state evaluation are high.

Description of drawings

In order to more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings that need to be used in the description of the embodiments or the prior art. Obviously, the accompanying drawings in the following description are only These are some embodiments of the present invention. For those skilled in the art, other drawings can also be obtained according to these drawings without any creative effort.

Fig. 1 is the composition structural representation of urban road traffic situation evaluation system of the present invention;

Fig. 2 is the constituent structural representation of traffic situation evaluation subsystem of the present invention;

Fig. 3 is a schematic diagram of the composition and structure of the pretreatment unit of the present invention.

detailed description

The technical solutions of the present invention will be clearly and completely described below in conjunction with the accompanying drawings of the present invention. Apparently, the described embodiments are only some of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

FIG. 1 is a schematic diagram of the composition and structure of the urban road traffic situation assessment system of the present invention. As shown in Figure 1, a kind of urban road traffic situation evaluation system described in the present invention comprises data acquisition subsystem 1, cloud storage subsystem 2, traffic situation evaluation subsystem 3, traffic information release subsystem 4; Wherein,

Data acquisition subsystem 1 is used to collect initial traffic flow information through GPS floating vehicles and fixed detectors installed on the same section of urban roads, including coil detectors and microwave detectors, and send the initial traffic flow information to the cloud storage sub-system System 2.

In the present invention, the initial traffic flow information includes flow rate, travel speed and occupancy rate.

The cloud storage subsystem 2 is used to store the initial traffic flow information sent by the data acquisition subsystem 1 in a cloud storage manner; it is also used to manage the users of the urban road traffic situation assessment system and the initial traffic flow information.

The traffic situation assessment subsystem 3 is used to preprocess the initial traffic flow information read from the cloud storage subsystem 2 to obtain complete traffic flow information; to repair the missing initial traffic flow information within 5 consecutive sampling times , to obtain the repaired traffic flow information; after integrating the complete traffic flow information and the repaired traffic flow information, the cloud method and rough set method are used to determine the current traffic situation.

The traffic information release subsystem 4 is used to release the current traffic situation to the public.

In a word, in the urban road traffic situation assessment system of the present invention, the cloud storage subsystem realizes the effective storage of massive initial traffic flow information. The traffic situation assessment subsystem preprocesses the initial traffic flow information to screen out the complete traffic flow information and repair the incomplete traffic flow information; after integrating the complete traffic flow information and the repaired traffic flow information, the cloud method is used to Determine the current traffic situation with the rough set method; finally, the traffic information publishing subsystem announces the current traffic situation to the public. Because the urban road traffic situation evaluation system of the present invention adopts preprocessing measures, some unreasonable information in the initial traffic flow information is deleted, so that the sampling information is more accurate; the incomplete information of the traffic flow is repaired, so that the information participating in the evaluation is more reliable , accuracy, and strong real-time performance; the method of the present invention adopts the cloud method and the rough set method for evaluation at the end, so that the reliability, precision and real-time performance of urban road traffic state evaluation are high.

In the present invention, the cloud storage subsystem 2 includes a cloud storage database, a user management unit, and a data management unit; wherein,

The cloud storage database is used to store the initial traffic flow information sent by the data acquisition subsystem 1 in cloud storage under the control of the data management unit.

The user management unit is used to add and delete users of the urban road traffic situation assessment system, set user permissions of the urban road traffic situation assessment system, and set different functions for users of the urban road traffic situation assessment system at different levels.

The data management unit is used for writing the initial traffic flow information collected by the data collection subsystem into the cloud storage database, and exporting and deleting the initial traffic flow information from the cloud storage database.

Fig. 2 is a schematic diagram of the composition and structure of the traffic situation assessment subsystem of the present invention. As shown in Figure 2, the traffic situation assessment subsystem 3 of the present invention includes a data preprocessing unit 31, a fusion unit 32, and a traffic state recognition unit 33; wherein,

The preprocessing unit 31 is used to sequentially perform rule detection, threshold detection, and abnormal data identification detection on the initial traffic flow information read from the cloud storage subsystem 2 to obtain complete traffic flow information; The traffic flow information is repaired to obtain the repaired traffic flow information; and the complete traffic flow information and the repaired traffic flow information are sent to the fusion unit 32 .

The fusion unit 32 is used to fuse the complete traffic flow information sent by the preprocessing unit 31 from the GPS floating car and the fixed detector, and the travel speed in the repaired traffic flow information, and send the fused traffic flow information to the traffic flow information. State recognition unit 33 .

The traffic state identification unit 33 is used to obtain the traffic flow information cloud after cloud identification is performed on the fused traffic flow information sent by the fusion unit 32; the rough set method is used to delete redundant condition attributes and repetitions and redundant conditions in the traffic flow information cloud successively. The attribute value of , get the decision rules between the traffic flow, travel speed, occupancy rate and the four traffic states of smooth, slow, general congestion or congestion, so as to determine the current traffic state.

Fig. 3 is a schematic diagram of the composition and structure of the pretreatment unit of the present invention. As shown in FIG. 3 , the preprocessing unit 31 of the present invention includes a rule detection module 311, a threshold detection module 312, an abnormal data identification detection module 313, and a repair module 314; wherein,

The rule detection module 311 is used to detect the initial traffic flow information read from the cloud storage subsystem 2 using the rules shown in the following table: wherein, q is the traffic flow, o is the occupancy rate, and v is the speed;

serial number rule judge processing method 1 q=0,o=0,v=0 missing or true carry out next inspection 2 q≠0, o=0, v=0 mistake delete 3 q=0, o≠0, v=0 mistake delete 4 q=0,o=1,v=0 full stop Proceed to the next test 3 --> 5 q=0, o=0, v≠0 mistake delete 6 q=0, o≠0, v≠0 mistake delete 7 q≠0, o≠0, v=0 mistake delete 8 q≠0, o=0, v≠0 uncertain carry out next inspection 9 q≠0, o≠0, v≠0 uncertain carry out next inspection

When the initial traffic flow information is wrong, delete the initial traffic flow information; when the initial traffic flow information is missing, real, uncertain or in a complete stop state, send the initial traffic flow information as the first intermediate traffic flow information to the threshold detection module 312.

Threshold detection module 312, configured to judge whether the speed v in the first intermediate traffic flow information sent by rule detection module 311 satisfies If satisfied, the first intermediate traffic flow information is sent to the abnormal data identification and detection module 313 as the second intermediate traffic flow information; if not satisfied, the first intermediate traffic flow information is deleted.

The abnormal data identification and detection module 313 is used for judging whether the fluctuation of the second intermediate traffic flow information is normal according to the expectation and variance of the first n values of the second intermediate traffic flow information: if it is normal, the second intermediate traffic flow information is used as Complete the traffic flow information and send it to the fusion unit 32; if it is not normal, delete the second intermediate traffic flow information.

The repair module is used to repair the missing initial traffic flow information read from the cloud storage subsystem 2 within 5 consecutive sampling times, so as to obtain the repaired traffic flow information, specifically: using Repair the missing initial traffic flow information; among them, is the repair value of the i-th missing traffic flow information, Hx _j is the initial traffic flow information collected by the j-th GPS floating vehicle, loop detector or microwave detector, w _ij is the j-th GPS floating vehicle, loop detection The weight of the initial traffic flow information collected by the sensor or microwave detector relative to the ith missing traffic flow information, and

${\mathrm{<span\; class="notranslate">\; w</span>}}_{\mathrm{<span\; class="notranslate">\; i</span>}\mathrm{<span\; class="notranslate">\; j</span>}}<span\; class="notranslate">\; =</span>\frac{{\mathrm{<span\; class="notranslate">\; Cov</span>}}_{\mathrm{<span\; class="notranslate">\; i</span>}\mathrm{<span\; class="notranslate">\; j</span>}}^{\mathrm{<span\; class="notranslate">\; k</span>}}}{\underset{\mathrm{<span\; class="notranslate">\; j</span>}<span\; class="notranslate">\; =</span>\mathrm{<span\; class="notranslate">\; 1</span>}}{\overset{\mathrm{<span\; class="notranslate">\; no</span>}}{<span\; class="notranslate">\; \&Sigma;</span>}}{\mathrm{<span\; class="notranslate">\; Cov</span>}}_{\mathrm{<span\; class="notranslate">\; i</span>}\mathrm{<span\; class="notranslate">\; j</span>}}^{\mathrm{<span\; class="notranslate">\; k</span>}}}$

in, is the first k initial traffic flow information of the i-th missing initial traffic flow information and the first k initial traffic flow information of the i-th missing initial traffic flow information from the j-th GPS floating car, coil detector or microwave detector Correlation coefficient of flow information.

In the present invention, the fusion of the complete traffic flow information and the repaired traffic flow information is as follows: For complete traffic flow information and repaired traffic flow information; among them, is the average travel speed of the road in the complete traffic flow information and repaired traffic flow information, W ^m is the weight of the mth section of the road, V ^m is the completeness of the mth section of the road from the GPS floating car and the fixed detector Matching average speed of trip speed in traffic flow information, repaired traffic flow information. Here, the speed of the floating car is calibrated using the speed of the fixed detector to obtain the matching average speed

The method for obtaining the weight W ^m of the mth section of the road is: in, is the Hessian matrix, and g _n is the coefficient.

The above is only a specific embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Anyone skilled in the art can easily think of changes or substitutions within the technical scope disclosed in the present invention. Should be covered within the protection scope of the present invention. Therefore, the protection scope of the present invention should be based on the protection scope of the claims.

Claims (4)

1. An urban road traffic situation assessment system is characterized by comprising a data acquisition subsystem, a cloud storage subsystem, a traffic situation assessment subsystem and a traffic information release subsystem; wherein,

the data acquisition subsystem is used for acquiring initial traffic flow information through a GPS floating car and a fixed detector which is arranged on the same section of an urban road and comprises a coil detector and a microwave detector, and sending the initial traffic flow information to the cloud storage subsystem;

the cloud storage subsystem is used for storing the initial traffic flow information sent by the data acquisition subsystem in a cloud storage mode; the system is also used for managing users of the urban road traffic situation assessment system and initial traffic flow information;

the traffic situation evaluation subsystem is used for preprocessing the initial traffic flow information read from the cloud storage subsystem to obtain complete traffic flow information; repairing the missing initial traffic flow information within continuous 5 sampling times to obtain repaired traffic flow information; after the complete traffic flow information and the repaired traffic flow information are fused, determining the current traffic situation by adopting a cloud method and a rough set method;

the traffic information issuing subsystem is used for issuing the current traffic situation to the public;

wherein the initial traffic flow information comprises flow, travel speed and occupancy;

the cloud storage subsystem comprises a cloud storage database, a user management unit and a data management unit; wherein,

the cloud storage database is used for storing the initial traffic flow information sent by the data acquisition subsystem in a cloud storage mode under the control of the data management unit;

the user management unit is used for adding and deleting the urban road traffic situation assessment system users, setting the user permission of the urban road traffic situation assessment system, and setting different functions for the urban road traffic situation assessment system users of different levels;

and the data management unit is used for writing the initial traffic flow information acquired by the data acquisition subsystem into a cloud storage database, and deriving and deleting the initial traffic flow information from the cloud storage database.

2. The urban road traffic situation assessment system according to claim 1, wherein said traffic situation assessment subsystem comprises a data preprocessing unit, a fusion unit, a traffic status identification unit; wherein,

the preprocessing unit is used for sequentially carrying out rule detection, threshold detection and abnormal data identification detection on the initial traffic flow information read from the cloud storage subsystem to obtain complete traffic flow information; repairing the missing initial traffic flow information within continuous 5 sampling times to obtain repaired traffic flow information; sending the complete traffic flow information and the repaired traffic flow information to the fusion unit;

the fusion unit is used for fusing the complete traffic flow information from the GPS floating car and the fixed detector and the travel speed in the repaired traffic flow information sent by the preprocessing unit and sending the obtained fused traffic flow information to the traffic state identification unit;

the traffic state identification unit is used for carrying out cloud identification on the fused traffic flow information sent by the fusion unit to obtain a traffic flow information cloud; and sequentially deleting redundant condition attributes and repeated and redundant attribute values in the traffic flow information cloud by adopting a rough set method to obtain decision rules about flow, travel speed and occupancy as well as four traffic states of smooth, slow running, general congestion or congestion so as to determine the current traffic situation.

3. The urban road traffic situation assessment system according to claim 1, wherein said integrating of complete traffic flow information, restored traffic flow information is: according toFusing complete traffic flow information and repaired traffic flow information; wherein,for road mean travel speed, W, in complete traffic flow information and restored traffic flow information^mIs the weight of the mth section of the road,the matched average speed of the travel speed in the complete traffic flow information and the repaired traffic flow information of the GPS floating car and the fixed detector in the mth section of the road.

4. The system of claim 3, wherein the weight W of the mth section of the road is determined by the evaluation of the traffic situation of the urban road^mThe obtaining method comprises the following steps:wherein,is a sea race matrix, g_nAre coefficients.