CN112967494A - Intelligent traffic jam state monitoring method and system - Google Patents
Intelligent traffic jam state monitoring method and system Download PDFInfo
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- CN112967494A CN112967494A CN202110112911.3A CN202110112911A CN112967494A CN 112967494 A CN112967494 A CN 112967494A CN 202110112911 A CN202110112911 A CN 202110112911A CN 112967494 A CN112967494 A CN 112967494A
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- 238000000034 method Methods 0.000 title claims abstract description 37
- 238000012544 monitoring process Methods 0.000 title claims abstract description 27
- 230000002159 abnormal effect Effects 0.000 claims description 9
- 238000012216 screening Methods 0.000 claims description 6
- 238000007781 pre-processing Methods 0.000 claims description 5
- 230000002457 bidirectional effect Effects 0.000 claims description 3
- 238000004364 calculation method Methods 0.000 claims description 3
- 238000003709 image segmentation Methods 0.000 claims description 3
- 238000003780 insertion Methods 0.000 claims description 3
- 230000037431 insertion Effects 0.000 claims description 3
- 230000002035 prolonged effect Effects 0.000 claims description 3
- 238000004904 shortening Methods 0.000 claims description 3
- 238000012545 processing Methods 0.000 abstract description 7
- 206010033799 Paralysis Diseases 0.000 abstract description 2
- 238000005516 engineering process Methods 0.000 description 3
- 230000005856 abnormality Effects 0.000 description 2
- 238000007726 management method Methods 0.000 description 2
- 239000002699 waste material Substances 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000007418 data mining Methods 0.000 description 1
- 238000013499 data model Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 239000002243 precursor Substances 0.000 description 1
Classifications
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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
-
- 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
-
- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
- G08G1/0137—Measuring and analyzing of parameters relative to traffic conditions for specific applications
- G08G1/0145—Measuring and analyzing of parameters relative to traffic conditions for specific applications for active traffic flow control
-
- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/07—Controlling traffic signals
- G08G1/081—Plural intersections under common control
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- General Physics & Mathematics (AREA)
- Chemical & Material Sciences (AREA)
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Abstract
The invention discloses an intelligent traffic jam state monitoring method, which relates to the technical field of road traffic management, and can implement a signal for temporarily forbidding release on a transverse or longitudinal road according to the real-time condition of the road, so as to avoid the condition that traffic paralysis of the whole intersection is caused due to traffic jam at the intersection and influence on vehicles coming from the side. The specific scheme is as follows: the method comprises the following steps: s1: acquiring transverse and longitudinal traffic flow at the crossroad; s2: and controlling the transverse and longitudinal passing time of the traffic signal lamp according to the transverse traffic flow and the longitudinal traffic flow. The intelligent traffic jam state monitoring method provided by the invention can be used for carrying out traffic management on special traffic areas, particularly crossroads, so as to avoid traffic jam; according to the intelligent traffic jam state monitoring method provided by the invention, the image processing rate is improved through image processing; according to the intelligent traffic jam state monitoring method provided by the invention, the traffic efficiency is further improved by arranging the tidal lane.
Description
Technical Field
The invention relates to the technical field of road traffic management, in particular to an intelligent traffic jam state monitoring method and system.
Background
The intelligent traffic is an intelligent traffic precursor, in 2009, IBM proposes an idea of intelligent traffic, and the intelligent traffic is based on the intelligent traffic, integrates high and new IT technologies such as internet of things, cloud computing, big data, mobile internet and the like, and provides traffic information service under real-time traffic data by collecting traffic information through the high and new technologies. Data processing technologies such as data models and data mining are largely used, and the universality of systematicness, instantaneity and information exchange of intelligent traffic is already served.
At an intersection, the situation that the traffic jam occurs in the vehicles in front of the intersection, under the condition that the light of the intersection is green, the vehicles behind the intersection can also run forwards, the vehicles in front of the intersection can not leave in time, or the leaving speed is lower than the joining speed of the vehicles behind the intersection, the vehicles can occupy the intersection, even under the condition that the direction is red, the vehicles behind the intersection can not move forwards to the intersection, and the vehicles in front can not leave in time, so that the vehicles on the side can not pass under the condition that the light of the side is green, and the traffic jam situation is caused.
Disclosure of Invention
In order to solve the technical problems, the invention provides an intelligent traffic jam state monitoring method, which can implement a signal for temporarily forbidding the transverse or longitudinal road to pass according to the real-time condition of the road, and avoid the condition that traffic paralysis of the whole intersection is caused because the intersection is jammed and the vehicles coming from the side are influenced.
The technical purpose of the invention is realized by the following technical scheme:
an intelligent traffic jam state monitoring method comprises the following steps:
s1: acquiring transverse and longitudinal traffic flow at the crossroad;
s2: controlling the transverse and longitudinal passing time of the traffic signal lamp according to the transverse traffic flow and the longitudinal traffic flow;
in the S2 process, the time ratio determination includes the steps of:
s201: judging the congestion condition of a vehicle in front of the cross lane intersection, if the congestion condition is normal, executing S202, and if the congestion condition is abnormal, executing S203;
s202: the transverse traffic signal lamp normally works;
s203: shortening the passing time of the transverse traffic signal lamp, and executing S204;
s204: judging the congestion condition of the vehicle in front of the longitudinal lane intersection, if the congestion condition is normal, executing step 205, and if the congestion condition is abnormal, executing step 206;
s205: the passing time of the longitudinal traffic signal lamp is kept to work normally, or the passing time of the longitudinal traffic signal lamp is prolonged;
s206: the passing time of the longitudinal traffic signal lamp is shortened;
when the passing time of the transverse traffic signal lamp is shortened, and the longitudinal traffic signal lamp keeps normal passing or shortens the normal passing time, the other time keeps bidirectional non-passing;
when the vehicle passes transversely, the quantity of the vehicles passing through the intersection behind the intersection is larger than that of the vehicles leaving from the front of the intersection, so that the condition of congestion is caused when the vehicles stay at the intersection and block the longitudinal passing lane.
In the above solution, the transverse lane and the longitudinal lane are relative, refer to driving directions in different directions, and are for convenience of description, and the claims of the present application are not limited thereto. When a transverse lane is present or is about to appear, because the vehicle in front of the intersection can not leave in time, the vehicle behind the intersection can not normally enter the road in front of the intersection after passing through the intersection, and the longitudinal vehicle passing is influenced, the transverse lane is restricted by a traffic signal lamp; then judging whether the longitudinal lane has similar conditions or not, if not, giving redundant time to the longitudinal lane to ensure that the longitudinal lane keeps passing, if so, restricting the longitudinal lane through a traffic signal lamp, and keeping not passing under the condition of both transverse and longitudinal restriction, and normally working a sidewalk traffic signal lamp; and after the transverse or longitudinal traffic is dredged, repeating the steps again for judgment.
The above scheme realizes the control function of the intersection traffic signal lamp through the auxiliary judgment of the intelligent equipment and through the set program. The scheme can effectively avoid the traffic jam condition at the intersection, can effectively reduce the jam condition in the peak time of using the vehicle, and can realize the reduction of traffic delay in the peak time of traffic according to the experimental display.
As a preferable scheme, in the S1 process, the acquiring traffic flow information specifically includes the following steps:
s101: acquiring transverse and longitudinal traffic flow dynamic images of the crossroad, wherein the images comprise a transverse front road section, a transverse rear road section, a longitudinal front road section and a longitudinal rear road section of the crossroad;
s102: preprocessing an image, including image denoising, image segmentation, image characteristic quantity calculation and image screening on the acquired image;
s103: feeding back the preprocessed image to a processor, and extracting the head and tail information of the vehicle group in the image;
s104: and assisting to judge the vehicle congestion condition according to the extracted head and tail information.
In the above preferred embodiment, the image with the most features is obtained by preprocessing the image, so as to improve the image recognition efficiency. The road section for acquiring the image is fixed in a certain range, namely, a distance in front of and behind the intersection in four directions. The mode of obtaining the image includes artifical making a video recording, obtains the image through wide area camera, carries out the pertinence through a plurality of cameras of a plurality of directions and obtains.
The preferred scheme can realize that the accurate monitoring of the vehicle is realized through the image processing of the preselected road section, the traffic is further assisted and directed, and the traffic jam is avoided.
As a preferable scheme, in the process of S101, the range of acquiring the dynamic image of the traffic flow includes a range from the front of the intersection to the intersection by 100m, and a range from the rear of the intersection to the intersection by 100 m.
In the preferred scheme, the front and rear 100m of the transverse lane intersection are set as the shooting range, and the front and rear 100m of the longitudinal lane intersection are set as the shooting range, so that the traffic flow of the whole area of the intersection can be effectively monitored. The shooting range can be selected to be increased when different road sections, such as the driving number of one-way lanes and lane abnormality.
As a preferable scheme, in the S102 process, the image screening specifically includes the following steps: discarding images when the distance between the front and the rear adjacent vehicles is larger than a certain distance; image rejection when there is a side car insertion.
In the preferred scheme, when the distance between adjacent vehicles is large, the waste of road space resources can be caused, and the invalid spaces are effectively used in the rush hour, so that the traffic delay can be effectively reduced; when lane changing exists on the side, or the vehicle turns around reversely, the space utilization is increased, the emergency events are discharged, the whole lane can be managed more effectively, and the traffic delay is reduced.
Preferably, the crossroad transverse lanes and/or the longitudinal lanes are provided with tidal lanes, and the tidal lanes are activated when the traffic flow of one of the transverse lanes and/or the longitudinal lanes is significantly less than that of the oncoming vehicle.
In the preferred scheme, the tidal lanes are arranged, so that the early and late peaks can be distinguished, the utilization rate of the lanes is improved, the traffic efficiency is further improved, and the traffic delay is reduced.
As a preferable scheme, in the process of S2, when a traffic jam abnormal condition occurs in the transverse lane, the longitudinal traffic signal lamp sends a no-pass signal; when the vertical lane is jammed abnormally, the transverse traffic signal lamp sends out a traffic prohibition signal.
In the preferred scheme, the vehicle passing prohibition state is allowed to exist in the transverse direction and the longitudinal direction, and after the traffic in any direction is recovered, the vehicle is purposefully released again.
An intelligent traffic jam state monitoring system is based on the intelligent traffic jam state monitoring method.
In conclusion, the invention has the following beneficial effects:
(1) the intelligent traffic jam state monitoring method provided by the invention can be used for carrying out traffic management on special traffic areas, particularly crossroads, so as to avoid traffic jam;
(2) according to the intelligent traffic jam state monitoring method provided by the invention, the image processing rate is improved through image processing;
(3) according to the intelligent traffic jam state monitoring method provided by the invention, the traffic efficiency is further improved by arranging the tidal lane.
Detailed Description
This specification and claims do not intend to distinguish between components that differ in name but not function. In the following description and in the claims, the terms "include" and "comprise" are used in an open-ended fashion, and thus should be interpreted to mean "include, but not limited to. "substantially" means within an acceptable error range, and a person skilled in the art can solve the technical problem within a certain error range to substantially achieve the technical effect.
The terms in the upper, lower, left, right and other directions in the specification and the claims are used for facilitating understanding of the application, and do not limit the application.
The present invention will be described in further detail below.
An intelligent traffic jam state monitoring method comprises the following steps:
s1: acquiring transverse and longitudinal traffic flow at the crossroad;
s2: controlling the transverse and longitudinal passing time of the traffic signal lamp according to the transverse traffic flow and the longitudinal traffic flow;
in the S2 process, the time ratio determination includes the steps of:
s201: judging the congestion condition of a vehicle in front of the cross lane intersection, if the congestion condition is normal, executing S202, and if the congestion condition is abnormal, executing S203;
s202: the transverse traffic signal lamp normally works;
s203: shortening the passing time of the transverse traffic signal lamp, and executing S204;
s204: judging the congestion condition of the vehicle in front of the longitudinal lane intersection, if the congestion condition is normal, executing step 205, and if the congestion condition is abnormal, executing step 206;
s205: the passing time of the longitudinal traffic signal lamp is kept to work normally, or the passing time of the longitudinal traffic signal lamp is prolonged;
s206: the passing time of the longitudinal traffic signal lamp is shortened;
when the passing time of the transverse traffic signal lamp is shortened, and the longitudinal traffic signal lamp keeps normal passing or shortens the normal passing time, the other time keeps bidirectional non-passing;
when the vehicle passes transversely, the quantity of the vehicles passing through the intersection behind the intersection is larger than that of the vehicles leaving from the front of the intersection, so that the condition of congestion is caused when the vehicles stay at the intersection and block the longitudinal passing lane.
In the above embodiments, the transverse lanes and the longitudinal lanes are relative terms, and refer to directions of driving in different directions, which are for convenience of description and are not intended to limit the claims of the present application. When a transverse lane is present or is about to appear, because the vehicle in front of the intersection can not leave in time, the vehicle behind the intersection can not normally enter the road in front of the intersection after passing through the intersection, and the longitudinal vehicle passing is influenced, the transverse lane is restricted by a traffic signal lamp; then judging whether the longitudinal lane has similar conditions or not, if not, giving redundant time to the longitudinal lane to ensure that the longitudinal lane keeps passing, if so, restricting the longitudinal lane through a traffic signal lamp, and keeping not passing under the condition of both transverse and longitudinal restriction, and normally working a sidewalk traffic signal lamp; and after the transverse or longitudinal traffic is dredged, repeating the steps again for judgment.
The embodiment realizes the control function of the traffic signal lamp at the intersection through the auxiliary judgment of the intelligent equipment and the set program. The embodiment can effectively avoid the traffic jam condition at the intersection, can effectively reduce the jam condition in the peak time of the vehicle, and can reduce the traffic delay in the peak time of the traffic according to the experimental display.
As a preferred embodiment, in the S1 process, the acquiring traffic flow information specifically includes the following steps:
s101: acquiring transverse and longitudinal traffic flow dynamic images of the crossroad, wherein the images comprise a transverse front road section, a transverse rear road section, a longitudinal front road section and a longitudinal rear road section of the crossroad;
s102: preprocessing an image, including image denoising, image segmentation, image characteristic quantity calculation and image screening on the acquired image;
s103: feeding back the preprocessed image to a processor, and extracting the head and tail information of the vehicle group in the image;
s104: and assisting to judge the vehicle congestion condition according to the extracted head and tail information.
In the above preferred embodiment, the image with the most features is obtained by preprocessing the image, so as to improve the recognition efficiency of the image. The road section for acquiring the image is fixed in a certain range, namely, a distance in front of and behind the intersection in four directions. The mode of obtaining the image includes artifical making a video recording, obtains the image through wide area camera, carries out the pertinence through a plurality of cameras of a plurality of directions and obtains.
The preferred embodiment can realize that the accurate monitoring of the vehicle is realized by processing the images of the preselected road sections, thereby further assisting in commanding traffic and avoiding traffic jam.
As a preferred embodiment, in the process of S101, the range of acquiring the dynamic image of the traffic flow includes a range from the front of the intersection to the intersection by 100m, and a range from the rear of the intersection to the intersection by 100 m.
In the above preferred embodiment, by setting 100m before and after the intersection of the transverse lane as the shooting range and setting 100m before and after the intersection of the longitudinal lane as the shooting range, the traffic flow can be effectively monitored in the whole area of the intersection. The shooting range can be selected to be increased when different road sections, such as the driving number of one-way lanes and lane abnormality.
As a preferred embodiment, in the process of S102, the image screening specifically includes the following steps: discarding images when the distance between the front and the rear adjacent vehicles is larger than a certain distance; image rejection when there is a side car insertion.
In the preferred embodiment, when the distance between adjacent vehicles is large, the waste of road space resources is caused, and in the rush hour, the invalid spaces are effectively used, so that the traffic delay can be effectively reduced; when lane changing exists on the side, or the vehicle turns around reversely, the space utilization is increased, the emergency events are discharged, the whole lane can be managed more effectively, and the traffic delay is reduced.
In a preferred embodiment, the crossroad lateral and/or longitudinal lanes are provided with tidal lanes, which are activated when the traffic flow in one of the lateral and/or longitudinal lanes is significantly less than in the oncoming vehicle.
In the preferred embodiment, by arranging the tidal lanes, the morning and evening peaks can be distinguished, the utilization rate of the lanes is improved, the traffic efficiency is further improved, and the traffic delay is reduced.
As a preferred embodiment, in the process of S2, when a traffic jam abnormal condition occurs in the transverse lane, the longitudinal traffic signal lamp sends a no-pass signal; when the vertical lane is jammed abnormally, the transverse traffic signal lamp sends out a traffic prohibition signal.
In the preferred embodiment, the vehicle passing prohibition state is allowed to exist in the transverse direction and the longitudinal direction, and after the traffic in any direction is recovered, the vehicle is purposefully released again.
An intelligent traffic jam state monitoring system is based on the intelligent traffic jam state monitoring method.
The present embodiment is only for explaining the present invention, and it is not limited to the present invention, and those skilled in the art can make modifications of the present embodiment without inventive contribution as needed after reading the present specification, but all of them are protected by patent law within the scope of the claims of the present invention.
Claims (7)
1. An intelligent traffic jam state monitoring method is characterized by comprising the following steps:
s1: acquiring transverse and longitudinal traffic flow at the crossroad;
s2: controlling the transverse and longitudinal passing time of the traffic signal lamp according to the transverse traffic flow and the longitudinal traffic flow;
in the S2 process, the time ratio determination includes the steps of:
s201: judging the congestion condition of a vehicle in front of the cross lane intersection, if the congestion condition is normal, executing S202, and if the congestion condition is abnormal, executing S203;
s202: the transverse traffic signal lamp normally works;
s203: shortening the passing time of the transverse traffic signal lamp, and executing S204;
s204: judging the congestion condition of the vehicle in front of the longitudinal lane intersection, if the congestion condition is normal, executing step 205, and if the congestion condition is abnormal, executing step 206;
s205: the passing time of the longitudinal traffic signal lamp is kept to work normally, or the passing time of the longitudinal traffic signal lamp is prolonged;
s206: the passing time of the longitudinal traffic signal lamp is shortened;
when the passing time of the transverse traffic signal lamp is shortened, and the longitudinal traffic signal lamp keeps normal passing or shortens the normal passing time, the other time keeps bidirectional non-passing;
when the vehicle passes transversely, the quantity of the vehicles passing through the intersection behind the intersection is larger than that of the vehicles leaving from the front of the intersection, so that the condition of congestion is caused when the vehicles stay at the intersection and block the longitudinal passing lane.
2. The intelligent traffic congestion state monitoring method according to claim 1, wherein the step of obtaining traffic flow information in the S1 process specifically includes the steps of:
s101: acquiring transverse and longitudinal traffic flow dynamic images of the crossroad, wherein the images comprise a transverse front road section, a transverse rear road section, a longitudinal front road section and a longitudinal rear road section of the crossroad;
s102: preprocessing an image, including image denoising, image segmentation, image characteristic quantity calculation and image screening on the acquired image;
s103: feeding back the preprocessed image to a processor, and extracting the head and tail information of the vehicle group in the image;
s104: and assisting to judge the vehicle congestion condition according to the extracted head and tail information.
3. The method for monitoring the intelligent traffic congestion status according to claim 2, wherein in the step S101, the range for acquiring the dynamic image of the traffic flow includes a range from the front of the intersection to the intersection by 100m, and a range from the rear of the intersection to the intersection by 100 m.
4. The intelligent traffic congestion state monitoring method according to claim 2, wherein in the S102 process, the image screening specifically includes the following steps: discarding images when the distance between the front and the rear adjacent vehicles is larger than a certain distance; image rejection when there is a side car insertion.
5. The intelligent traffic congestion status monitoring method according to claim 1, wherein the crossroad lateral lanes and/or the longitudinal lanes are provided with tidal lanes, and the tidal lanes are enabled when traffic flow in one of the lateral lanes and/or the longitudinal lanes is significantly less than that in the oncoming traffic.
6. The intelligent traffic jam state monitoring method according to claim 1, characterized in that in the process of S2, when a jam abnormal condition occurs in a transverse lane, a longitudinal traffic signal lamp sends out a no-pass signal; when the vertical lane is jammed abnormally, the transverse traffic signal lamp sends out a traffic prohibition signal.
7. An intelligent traffic congestion state monitoring system based on the intelligent traffic congestion state monitoring method of any one of claims 1 to 6.
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| CN202110112911.3A CN112967494A (en) | 2021-01-27 | 2021-01-27 | Intelligent traffic jam state monitoring method and system |
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| CN103093633A (en) * | 2011-10-28 | 2013-05-08 | 国际商业机器公司 | Adjustment system and method of traffic signal lamps |
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| WO2018072240A1 (en) * | 2016-10-20 | 2018-04-26 | 中国科学院深圳先进技术研究院 | Direction-variable lane control method for tidal traffic flow on road network |
| CN110364002A (en) * | 2019-05-22 | 2019-10-22 | 江苏科创交通安全产业研究院有限公司 | A kind of vehicle three-level Induction Control method and system in Traffic Net |
| CN110706482A (en) * | 2019-08-30 | 2020-01-17 | 安锐 | Peak traffic passing control method and device |
-
2021
- 2021-01-27 CN CN202110112911.3A patent/CN112967494A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103093633A (en) * | 2011-10-28 | 2013-05-08 | 国际商业机器公司 | Adjustment system and method of traffic signal lamps |
| CN105070068A (en) * | 2015-08-20 | 2015-11-18 | 山东交通学院 | Device for marking tidal lane lines and working method of device |
| WO2018072240A1 (en) * | 2016-10-20 | 2018-04-26 | 中国科学院深圳先进技术研究院 | Direction-variable lane control method for tidal traffic flow on road network |
| CN110364002A (en) * | 2019-05-22 | 2019-10-22 | 江苏科创交通安全产业研究院有限公司 | A kind of vehicle three-level Induction Control method and system in Traffic Net |
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Application publication date: 20210615 |