CN116434576B - Traffic light timing scheme determining method, device, system and equipment - Google Patents
Traffic light timing scheme determining method, device, system and equipment Download PDFInfo
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- CN116434576B CN116434576B CN202211597682.XA CN202211597682A CN116434576B CN 116434576 B CN116434576 B CN 116434576B CN 202211597682 A CN202211597682 A CN 202211597682A CN 116434576 B CN116434576 B CN 116434576B
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- 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
- G08G1/083—Controlling the allocation of time between phases of a cycle
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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
- G08G1/095—Traffic lights
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
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- Y02B—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
- Y02B20/00—Energy efficient lighting technologies, e.g. halogen lamps or gas discharge lamps
- Y02B20/40—Control techniques providing energy savings, e.g. smart controller or presence detection
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Abstract
The application discloses a method, a device, a system and equipment for determining a traffic light timing scheme, which are applied to the technical field of data identification and are used for solving the problem that the accuracy of determining the traffic light timing scheme in the prior art is low. The method comprises the following steps: acquiring first lamp color change data; when a plurality of preset timing schemes exist, determining the preset timing scheme matched with the change time of the first lamp color change data from the plurality of preset timing schemes as a preselected timing scheme; acquiring second lamp color change data; judging whether the first lamp color change data and the second lamp color change data accord with a lamp color change rule in a preselected timing scheme or not; if yes, determining the preselected timing scheme as the current timing scheme; if not, acquiring the first quantity of lamp color change data, and learning to obtain the current timing scheme. Therefore, the accuracy of acquiring the timing scheme is improved by acquiring the lamp color change data and learning when the lamp color change data does not accord with the lamp color change rule of the preselected timing scheme.
Description
Technical Field
The present disclosure relates to the field of data identification technologies, and in particular, to a method, an apparatus, a system, and a device for determining a traffic light timing scheme.
Background
The timing scheme of the traffic light refers to the timing rule of the lighting of each lamp color of the traffic light, and the accurate acquisition of the timing scheme of the traffic light is beneficial to the digital and networked management of traffic information and has great supporting effect on the cooperative traffic of the vehicle and the road.
At present, the determination of the traffic light timing scheme is mainly realized by observing the lighting time of each lamp color of the traffic light, and the determination of the traffic light timing scheme is simple but is easily influenced by environmental conditions in the manner, and in the observation process, the accuracy of the determined traffic light timing scheme can be greatly influenced if a shielding object shields the sight.
Disclosure of Invention
The embodiment of the application provides a method, a device, a system and equipment for determining a traffic light timing scheme, which are used for solving the problem of low accuracy of determining the traffic light timing scheme in the prior art.
The technical scheme provided by the embodiment of the application is as follows:
in one aspect, an embodiment of the present application provides a method for determining a traffic light timing scheme, including:
Acquiring first lamp color change data;
when a plurality of preset timing schemes exist, determining the preset timing scheme matched with the change time of the first lamp color change data from the plurality of preset timing schemes as a preselected timing scheme;
acquiring second lamp color change data;
judging whether the first lamp color change data and the second lamp color change data accord with a lamp color change rule in a preselected timing scheme or not;
if yes, determining the preselected timing scheme as the current timing scheme;
if not, acquiring the first quantity of lamp color change data, and learning to obtain the current timing scheme.
In another aspect, an embodiment of the present application provides a traffic light timing scheme determining apparatus, including:
the first signal sensing unit is used for acquiring first lamp color change data;
a data analysis unit for determining a preset timing scheme matching the change time of the first lamp color change data from among the plurality of preset timing schemes as a preselected timing scheme when the plurality of preset timing schemes exist;
the second signal sensing unit is used for acquiring second lamp color change data;
the timing scheme determining unit is used for determining whether the first lamp color change data and the second lamp color change data accord with the lamp color change rule in the preselected timing scheme or not; if yes, determining the preselected timing scheme as the current timing scheme; if not, acquiring the first quantity of lamp color change data, and learning to obtain the current timing scheme.
In another aspect, an embodiment of the present application provides a traffic light timing scheme determining system, including: determining a terminal, a data acquisition and control platform, a data application terminal and a platform according to a traffic light timing scheme;
the traffic light timing scheme determining terminal is used for acquiring first light color change data; when a plurality of preset timing schemes exist, determining the preset timing scheme matched with the change time of the first lamp color change data from the plurality of preset timing schemes as a preselected timing scheme; acquiring second lamp color change data; judging whether the first lamp color change data and the second lamp color change data accord with a lamp color change rule in a preselected timing scheme or not; if yes, determining the preselected timing scheme as the current timing scheme; if not, acquiring the first quantity of lamp color change data, and learning to obtain a current timing scheme;
the data acquisition and control platform is used for acquiring a timing scheme sent by the traffic light timing scheme determining terminal, analyzing and storing the current timing scheme and sending the current timing scheme to the data application terminal and the platform;
the data application terminal and the platform are used for receiving the current timing scheme sent by the data application terminal and the platform.
In another aspect, an embodiment of the present application provides an electronic device, including: the traffic light timing scheme determining method comprises a memory, a processor and a computer program stored in the memory and capable of running on the processor, wherein the processor executes the computer program to realize the traffic light timing scheme determining method provided by the embodiment of the application.
The beneficial effects of the embodiment of the application are as follows:
in the embodiment of the application, when the lamp color duration corresponding to the current lamp color change data does not accord with the lamp color change rule of the preselected timing scheme, the first quantity of lamp color change data is acquired for learning, so that the determination of the current timing scheme of the traffic light can be realized, and the accuracy of acquiring the timing scheme can be further improved by acquiring the current timing scheme through the real-time learning timing scheme.
Additional features and advantages of the application will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the application. The objectives and other advantages of the application will be realized and attained by the structure particularly pointed out in the written description and claims thereof as well as the appended drawings.
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The accompanying drawings, which are included to provide a further understanding of the application and are incorporated in and constitute a part of this application, illustrate embodiments of the application and together with the description serve to explain the application and do not constitute an undue limitation to the application. In the drawings:
FIG. 1 is a schematic diagram of a traffic light timing scheme determination system in an embodiment of the present application;
FIG. 2 is a schematic overview of a traffic light timing scheme determination method according to an embodiment of the present application;
FIG. 3 is a schematic flow chart of a method for determining a traffic light timing scheme according to an embodiment of the present application;
fig. 4 is a schematic functional structure diagram of a traffic light timing scheme determining device in an embodiment of the present application;
fig. 5 is a schematic diagram of a hardware structure of an electronic device in an embodiment of the application.
Detailed Description
In order to make the objects, technical solutions and advantageous effects of the present application more clear, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only some embodiments, but not all embodiments of the present application. All other embodiments, which can be made by one of ordinary skill in the art without undue burden from the present disclosure, are within the scope of the present disclosure.
In order to facilitate a better understanding of the present application, technical terms related to the present application will be briefly described below.
The first lamp color change data is generated based on the lamp color and the change time for which the level change is caused by 5 when the level change exists in the level signal at the current time.
The second lamp color change data is lamp color change data generated based on the lamp color and change time causing the level change in the level signal after the first lamp color change data, and is time-continuous with the first lamp color change data.
The preset timing scheme is a preset timing 0 scheme obtained based on the rule of the existing data summary, and comprises a timing scheme and a buffer timing scheme which are in one-to-one correspondence with each time period in one day.
It should be noted that references to "first," "second," etc. in this application are for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It is to be understood that such terms are interchangeable under appropriate circumstances such that the embodiments described herein are capable of operation in other orientations than those illustrated or otherwise described herein
And is performed in a sequence other than that described. Furthermore, reference to "and/or" in this application describes a 5-association relationship of association objects, which means that there may be three relationships, for example, a and/or B, which may mean: a exists alone, A and B exist together, and B exists alone. The character "/" generally indicates that the context-dependent object is an "or" relationship.
After technical terms related to the application are introduced, the technical solutions provided by the embodiments of the application are described in detail below.
0 first, a detailed description will be given of the traffic light timing scheme determination system provided in the embodiment of the present application,
referring to fig. 1, the traffic light timing scheme determination system 100 includes: the traffic light timing scheme determines a terminal 110, a data acquisition and control platform 120 and a data application terminal and platform 130;
a traffic light timing scheme determining terminal 110 for acquiring first light color change data; determining presence of
When the plurality of preset timing schemes are adopted, determining a preset timing scheme matched with the 5-change time of the first lamp color change data from the plurality of preset timing schemes as a preselected timing scheme; acquiring second lamp color change data;
judging whether the first lamp color change data and the second lamp color change data accord with a lamp color change rule in a preselected timing scheme or not; if yes, determining the preselected timing scheme as the current timing scheme; if not, acquiring the first quantity of lamp color change data, and learning to obtain a current timing scheme;
the data acquisition and control platform 120 is used for acquiring the timing scheme sent by the traffic light timing scheme determining terminal 110, analyzing and storing the current timing scheme and sending the current timing scheme to the data application terminal and the platform;
the data application terminal and platform 130 is configured to receive the current timing scheme sent by the data acquisition and control platform 120.
In one possible implementation manner, the traffic light timing scheme determining terminal 110 is specifically configured to select, from the first number of light color change data, the second number of light color change data as the first learning group, and determine a first timing scheme of the first learning group; determining a second timing scheme of a third number of the first number of the lamp color change data except the second number of the lamp color change data; judging whether the first timing scheme is consistent with the second timing scheme; if yes, determining the first timing scheme as the current timing scheme; if not, determining the first timing scheme as the timing scheme corresponding to the learning starting time of the first learning group, and acquiring the first quantity of lamp color change data according to the learning starting time of the second timing scheme to learn so as to obtain the current timing scheme.
In one possible implementation, the traffic light timing scheme determination terminal 110 is further configured to obtain a level signal for controlling the traffic light; if there is a level change in the level signal, lamp color change data is generated based on the lamp color and the change time that cause the level change.
In a possible implementation manner, the traffic light timing scheme determining terminal 110 is further configured to, when determining that there are no multiple preset timing schemes, use the change time of the first light color change data as a learning start time, acquire the light color change data in real time in a preset learning period, and perform timing scheme learning to obtain all timing schemes of the traffic lights in the preset learning period.
In one possible implementation manner, the traffic light timing scheme determining terminal 110 is specifically configured to, when determining that the time of the current light color change data is within a preset time period, obtain a preset number of light color change data that is continuous with the time of the current light color change data as an initial learning group, and determine a timing scheme of the initial learning group; acquiring a preset number of lamp color change data which are continuous with the ending time of the initial learning group as a comparison learning group, and determining a timing scheme of the comparison learning group; judging whether the timing schemes of the initial learning group and the comparison learning group are consistent; if yes, determining the timing scheme of the initial learning group as the timing scheme from the starting time of the initial learning group to the ending time of the comparison learning group; if not, determining the timing scheme of the initial learning group as the timing scheme from the initial learning group starting time to the end time, and determining the timing scheme of the comparison learning group as the timing scheme from the comparison learning group starting time to the end time.
In a possible implementation manner, the traffic light timing scheme determining terminal 110 is further configured to determine countdown data based on the current timing scheme, and send the current timing scheme and the countdown data to the data acquisition and control platform 120.
The data acquisition and control platform 120 is used for acquiring the timing scheme and countdown data sent by the traffic light timing scheme determining terminal 110, analyzing and storing the current timing scheme and countdown data, and sending the current timing scheme and countdown data to the data application terminal and the platform;
the data application terminal and platform 130 is configured to receive the current timing scheme and the countdown data sent by the data acquisition and control platform 120.
In one possible implementation, the data acquisition and control platform 120 is further configured to acquire the latest timing scheme and generate a scheme update instruction to send the latest timing scheme to the traffic light timing scheme determining terminal.
The traffic light timing scheme determining terminal 110 is further configured to receive a scheme update instruction sent by the data acquisition and control platform 120, and update a plurality of preset timing schemes according to the timing scheme in the scheme update instruction.
Based on the same inventive concept, the embodiment of the present application provides a traffic light timing scheme determining method, and referring to fig. 2, the general flow of the traffic light timing scheme determining method provided in the embodiment of the present application is as follows:
step 201: first lamp color change data are acquired.
In practical application, the lamp color change data includes a changed lamp color and a change time, wherein the changed lamp color can be red, yellow or green, and the change time is a time corresponding to the lamp color change. The light color change data is generally obtained in real time, and various obtaining modes can be adopted, and the light color change data can be obtained in real time through sending instructions, or can be obtained in other modes, and the light color change data is not limited herein. In order not to interfere with the original traffic network and not to affect the safety of the traffic network, the lamp color change data obtained in real time in the embodiment of the present application is generated based on the level signal of the traffic light, and before the first lamp color change data is obtained, the following specific method may be adopted, but is not limited to:
Firstly, acquiring a level signal for controlling a traffic light;
then, if there is a level change in the level signal, lamp color change data is generated based on the lamp color and the change time that cause the level change.
In practical application, the traffic control signal box is internally provided with a fixed timing scheme and generates a control level for the traffic light, and the control level signal is obtained by connecting the traffic control signal box. Each phase of the traffic light consists of three states of red, yellow and green, and the corresponding level acquisition points are three. The level signal corresponding to the level acquisition point has level change, and then represents that the state of the corresponding lamp color changes, wherein the state of the lamp color comprises on or off. When the level signal corresponding to the level acquisition point has level change, level change data are generated in real time according to lamp color and change time which cause the level change, the level change time is consistent with the current actual time, and the time calibration is carried out by internally arranging a clock mechanism, so that the calibration of the internal clock can be automatically calibrated, and the calibration can also be carried out by the calibration of a real-time communication protocol of a platform or a clock timing system.
Step 202: when the plurality of preset timing schemes are determined to exist, the preset timing scheme matched with the change time of the first lamp color change data is determined from the plurality of preset timing schemes to serve as a preselected timing scheme.
In practical application, the timing scheme refers to the duration of each of the red, yellow and green lights of the traffic light being on in a corresponding period of time. In general, for one phase of a traffic light, 19 sets of preset timing schemes can be set in the electronic device, wherein the first 18 sets of preset timing schemes are timing schemes of various time periods in a day of an intersection, the 18 sets of preset timing schemes are continuous in time and correspond to the various time periods in the day one by one, and the 19 th set of preset timing schemes are used as cache timing schemes. The number of internal preset timing schemes can be adjusted according to actual needs, but the number of groups of preset timing schemes must be larger than the actual number of groups of intersection timing in one day.
In the specific implementation, if the first lamp color change data is obtained, and then a plurality of preset timing schemes exist, the timing scheme corresponding to the time period where the change time is located can be determined in the plurality of preset timing schemes according to the change time of the first lamp color change data which is obtained at present, the timing scheme is used as a preselected timing scheme, and the countdown time of each lamp color is reversely pushed according to the preselected timing scheme.
In specific implementation, if it is determined that there are no multiple preset timing schemes after the first lamp color change data is acquired, the timing schemes need to be learned, and specifically, the following modes may be adopted, but are not limited to:
When a plurality of preset timing schemes do not exist, the change time of the first lamp color change data is used as the learning starting time, the lamp color change data is acquired in real time in a preset learning period to perform timing scheme learning, and all timing schemes of the traffic lights in the preset learning period are obtained.
In practical application, when it is determined that a plurality of preset timing schemes are not set in the electronic device, the change time of the first lamp color change data is used as the learning starting time, and the timing schemes are learned in a preset learning period. Specifically, the lamp color change data is obtained in real time in the preset learning period to perform timing scheme learning, and all timing schemes of the traffic lamps in the preset learning period are obtained, which can be adopted but are not limited to the following modes:
step 1: when the time of the current lamp color change data is determined to be in a preset time period, the lamp color change data with the preset quantity which is continuous with the time of the current lamp color change data is obtained to be used as an initial learning group, and a timing scheme of the initial learning group is determined.
In practical application, the time-continuous three lamp color change data of the preset quantity of lamp color change data can determine the timing scheme from the change time of the current lamp color change data to the latest change time in the three lamp color change data through the current lamp color change data and the preset quantity of lamp color change data. The preset time period is 24 hours after the change time of the first lamp color change data. The initial learning group includes first light color learning data, second light color learning data, and third light color learning data. The timing scheme is primarily determined based on the duration of each light color determined from the light color change data in the initial study group.
When the method is implemented, firstly, the current lamp color change data are determined, whether the change time of the current lamp color change data is within a preset period is judged, if not, learning is stopped, and if yes, the lamp color change data with the preset quantity which is continuous with the time of the current lamp color change data are acquired. And taking the change time of the first lamp color change data as the learning starting time, determining that the current lamp color change data is the first data generated by lamp color change after the first lamp color change data, and determining that the data is in a preset time period. Then, three lamp color change data which are time-continuous with the current lamp color change data are acquired, and an initial learning group comprising first lamp color learning data, second lamp color learning data and third lamp color learning data is obtained. It is worth noting that three lamp color change data, which are time-continuous with the first lamp color change data, are acquired in real time, and the duration of one lamp color in the timing scheme is determined each time one lamp color change data is acquired. The specific determination mode of the timing scheme of the initial learning group is as follows: the method comprises the steps of taking the change time of first lamp color change data as the learning starting time of an initial learning group, continuously counting the time Ts along with the learning starting time, discarding the continuously counting the time Ts along with the learning starting time when the current lamp color change data is obtained, setting a corresponding timing learning mark of the initial learning group, continuously counting the time Ts along with the change time of the current lamp color change data, taking the time Ts as the time of the lamp color corresponding to the current lamp color change data when the first lamp color learning data is obtained, storing the time of the lamp color corresponding to the current lamp color change data, continuously counting the time Ts along with the change time Ts along with the second lamp color learning data after the time of the lamp color corresponding to the first lamp color learning data is obtained, taking the time Ts as the time of the lamp color corresponding to the second lamp color learning data and storing the time corresponding to the initial learning mark after the time of the lamp color corresponding to the current lamp color change data is obtained, completing the time of the current lamp color scheme when the first lamp color learning data is obtained, completing the time of the current lamp color scheme, and completing the time of the learning scheme of the current lamp color change according to the three timing learning scheme. When the learning of the three lamp colors is not completed, the duration time of part of the lamp colors of the obtained initial learning group is temporarily stored in a cache timing scheme, when the learning of the three lamp colors is completed, the time-complete timing scheme stored in the cache timing scheme is stored in the learning group timing scheme, and the cache timing scheme is emptied, wherein the multiple groups of timing schemes can be stored in time sequence in the learning group timing scheme. Each set of timing schemes Z contains the following parameters: timing group number Zx (x represents group number sequence number), Z-group timing scheme red light duration Tzr, Z-group timing scheme yellow light duration Tzy, Z-group timing scheme green light duration Tzg, start time Tzs of Z-group, end time Tze of Z-group.
Step 2: and acquiring a preset number of lamp color change data which are continuous with the ending time of the initial learning group as a comparison learning group, and determining a timing scheme of the comparison learning group.
In practical application, the preset number of lamp color change data included in the comparison learning group is three lamp color change data continuous with the ending time of the initial learning group, and the comparison learning group includes fourth lamp color learning data, fifth lamp color learning data and sixth lamp color learning data. Three lamp color change data consecutive to the end time of the initial learning group are also acquired in real time, and each time one lamp color change data is acquired, the duration of one lamp color in the timing scheme is determined. The specific determination mode of the timing scheme of the comparison study group is as follows:
the method comprises the steps of taking the change time of third lamp color learning data in an initial learning group as the initial time of a comparison learning group, setting a corresponding timing learning mark of the comparison learning group at the time, timing duration Ts following the initial time of the comparison learning group, taking the duration Ts as the duration of the lamp color corresponding to the third lamp color learning data when the fourth lamp color learning data is obtained, and after the duration of the lamp color corresponding to the third lamp color learning data is stored, re-timing the duration Ts following the change time of the fourth lamp color learning data, taking the duration Ts as the duration of the lamp color corresponding to the fourth lamp color learning data when the fifth lamp color learning data is obtained, timing the duration Ts following the change time of the fifth lamp color learning data after the duration of the lamp color corresponding to the fourth lamp color learning data is stored, taking the duration Ts as the duration of the lamp color corresponding to the fifth lamp color learning data when the sixth lamp color learning data is obtained, storing the duration Ts, setting the comparison learning group as a learning completion mark, thereby completing the learning of the three lamp colors, obtaining the timing of the comparison learning data, and finishing the timing of the comparison learning group, and finishing the timing scheme of the change of the lamp color scheme as the change time of the lamp color scheme.
Step 3: judging whether the timing schemes of the initial learning group and the comparison learning group are consistent, and if so, executing the step 4; if not, executing step 5.
In practical application, whether the timing schemes of the initial learning group and the comparison learning group are consistent is further determined by judging whether the duration of the same lamp color in the timing schemes of the initial learning group and the comparison learning group is the same.
Step 4: the timing scheme of the initial learning group is determined as the timing scheme from the start time of the initial learning group to the end time of the comparison learning group.
In practical application, when the timing schemes of the initial learning group and the comparison learning group are consistent, the ending time in the timing scheme of the initial learning group is set as the ending time of the comparison learning group. After that, the above steps are repeatedly performed with the last lamp color learning data of the comparison learning group as the current lamp color change data.
Step 5: and determining the timing scheme of the initial learning group as the timing scheme from the initial learning group starting time to the end time, and determining the timing scheme of the comparison learning group as the timing scheme from the comparison learning group starting time to the end time.
In practical application, when the timing schemes of the initial learning group and the comparison learning group are inconsistent, the timing schemes of the comparison learning group are stored in the timing schemes of the learning group after the starting time and the ending time of the initial learning group and the comparison learning group are determined. And after the storage is completed, the last lamp color learning data of the comparison learning group is used as the current lamp color change data to repeatedly execute the steps. It is worth speaking that, if the number of times that the timing schemes of the initial learning group and the comparison learning group are inconsistent exceeds the preset number of times in the preset time, an abnormal state alarm is sent out.
Step 203: and acquiring second lamp color change data.
In practical application, the second light color change data is one light color change data which is continuous with the first light color change data in time.
Step 204: judging whether the first lamp color change data and the second lamp color change data accord with a lamp color change rule in a preselected timing scheme or not; if yes, determining the preselected timing scheme as the current timing scheme; if not, acquiring the first quantity of lamp color change data, and learning to obtain the current timing scheme.
In practical application, the duration of the lamp color of the first lamp color change data is determined according to the first lamp color change data and the second lamp color change data. Comparing the duration of the lamp color of the first lamp color change data with the duration of the corresponding lamp color in the lamp color change rule in the preselected timing scheme, and if the duration of the lamp color change rule is consistent with the duration of the corresponding lamp color in the lamp color change rule, determining the preselected timing scheme as the current timing scheme; if the two are inconsistent, obtaining the first quantity of lamp color change data for learning to obtain the current timing scheme, which can be specifically but not limited to the following modes:
step 1: and selecting a second quantity of lamp color change data from the first quantity of lamp color change data as a first learning group, and determining a first timing scheme of the first learning group.
In practical applications, the first number of light color change data is obtained in real time, the second number of light color change data is generally two sets of light color change data which are continuous with the second light color change data in time, the duration of three light colors is obtained according to the first light color change data, the second light color change data and the two sets of light color change data in the first learning set, and the duration of the three light colors is used as the first timing scheme.
Step 2: a second timing scheme of a third number of lamp color change data other than the second number of lamp color change data in the first number of lamp color change data is determined.
In practical applications, the third quantity of light color change data is generally three groups of light color change data with time sequence of light color change data behind two groups of light color change data in the first learning group, the duration of three light colors is obtained according to the light color change data with time sequence of light color change data behind two groups of light color change data in the first learning group and the three groups of light color change data with time sequence of light color change data, the duration of the three light colors is used as a second timing scheme, the starting time of the second timing scheme is the change time of the light color change data with time sequence of light color change data behind two groups of light color change data in the first learning group, and the ending time of the second timing scheme is the change time of the light color change data with time sequence behind the third quantity of light color change data.
Step 3: judging whether the first timing scheme is consistent with the second timing scheme; if the two types of the data are consistent, executing the step 4; if not, executing step 5.
In practical application, whether the first timing scheme is consistent with the second timing scheme is further determined by judging whether the duration of the same lamp color in the first timing scheme is the same as that in the second timing scheme.
Step 4: if yes, the first timing scheme is determined to be the current timing scheme.
Step 5: if not, determining the first timing scheme as the timing scheme corresponding to the learning starting time of the first learning group, and acquiring the first quantity of lamp color change data according to the learning starting time of the second timing scheme to learn so as to obtain the current timing scheme.
In practical application, if the first timing scheme is inconsistent with the second timing scheme, determining the first timing scheme as a timing scheme with the starting time being the change time of the first lamp color change data and the ending time being the change time of the lamp color change data after the time sequence of the two groups of lamp color change data in the first learning group. And then taking the starting time of the second timing scheme as the learning starting time, acquiring a first quantity of lamp color change data continuous with the starting time of the scheme for learning, and repeatedly executing the steps to determine the current timing scheme.
It is worth that, after determining the current timing scheme, the lamp color change data which is continuous with the second lamp color change data in time can be continuously obtained, whether the duration of the lamp color is consistent with the lamp color change rule in the preselected timing scheme is determined in real time, and the current timing scheme corresponding to the current time is determined according to the result.
In one possible implementation, after determining the current timing scheme of the traffic light, the method further includes:
and determining countdown data based on the current timing scheme, and sending the current timing scheme and the countdown data to the data acquisition and control platform.
In practical applications, the countdown data may be further determined after determining the current timing scheme. The countdown data includes: a current lamp color C, a countdown T1 of the current lamp color, a next green light countdown T2, a current group number Zx, and a learning flag Sflag of a current timing group (the learning flag Sflag=0 indicates that learning is completed, and Sflag=1 indicates that learning is in progress), wherein the current lamp color C is determined by lamp color change data; the countdown T1 of the current light color is calculated from the combination of the current light color duration T and the current light color duration, for example, the current light color is red (yellow or green), t1= Tzr-T (t1= Tzy-T or t1= Tzg-T). The next countdown T2 of the green light is calculated by integrating the duration time T of the current light color and the duration time of each light color when the current light color is assembled in the Z period, for example, when the current light color is red, t2= Tzr-T; when the front lamp color is yellow, t2= Tzy + Tzr-T; when the front lamp color is green, t2= Tzg + Tzy + Tzr-T.
In a possible implementation manner, the data acquisition and control platform can update the preset time scheme, which can be realized specifically by the following ways:
and receiving a scheme updating instruction sent by the data acquisition and control platform, and updating a plurality of preset timing schemes according to the timing scheme in the scheme updating instruction.
In practical application, the data acquisition and control platform can acquire the latest timing scheme and form a scheme updating instruction according to the scheme. After a scheme updating instruction sent by the data acquisition and control platform is received, if a preset timing scheme is not currently set, the timing scheme in the scheme updating instruction is used as the preset timing scheme, if the preset timing scheme is currently set, a plurality of preset timing schemes are updated through the timing scheme in the scheme updating instruction, and traffic light timing scheme determination is performed based on the updated preset timing scheme.
The following uses "a traffic light at an intersection" as a specific application scenario, and further details the traffic light timing scheme determining method provided by the embodiment of the present application, referring to fig. 3, the specific flow of the traffic light timing scheme determining method provided by the embodiment of the present application is as follows:
step 301: a level signal is acquired that controls the traffic light.
In a specific implementation, the level signal for controlling the traffic lights may be signals of a plurality of traffic lights corresponding to one intersection through multiple level detection inputs, where 48 level detection inputs may be set and signals corresponding to 16 traffic lights, which is not limited herein, and in this embodiment, a timing scheme of one traffic light is determined as an example.
Step 302: if there is a level change in the level signal, lamp color change data is generated based on the lamp color and the change time that cause the level change.
Step 303: first lamp color change data are acquired.
Step 304: judging whether a plurality of preset timing schemes exist, if yes, executing steps 305-307; if not, go to steps 315-319.
Step 305: a preset timing scheme matching the change time of the first lamp color change data is determined from a plurality of preset timing schemes as a pre-selected timing scheme.
Step 306: and acquiring second lamp color change data.
Step 307: judging whether the first lamp color change data and the second lamp color change data accord with a lamp color change rule in a preselected timing scheme or not; if yes, go to step 308; if not, go to step 309-311.
Step 308: the preselected timing scheme is determined to be the current timing scheme.
Step 309: and acquiring a second quantity of lamp color change data as a first learning group, and determining a first timing scheme Zx (x is a positive integer and x is less than 19) of the first learning group.
Step 310: a second timing scheme Z19 of a third amount of lamp color change data is acquired.
Step 311: judging whether the first timing scheme Zx is consistent with the second timing scheme Z19; if yes, go to step 312; if not, go to step 313.
Step 312: the first timing scheme Zx is determined as the current timing scheme.
Step 313: and determining the first timing scheme Zx as a timing scheme corresponding to the learning starting time of the first learning group, and acquiring first quantity of lamp color change data according to the learning starting time of the second timing scheme Z19 to learn so as to obtain a current timing scheme Zx+1.
Step 314: and determining countdown data based on the current timing scheme, and sending the current timing scheme and the countdown data to the data acquisition and control platform.
Step 315: and in a preset time period, acquiring a preset number of lamp color change data which are continuous with the current lamp color change data in time as an initial learning group, and determining a timing scheme Zn (n is a positive integer and n is less than 19) of the initial learning group.
Step 316: and acquiring a preset number of lamp color change data which are continuous with the ending time of the initial learning group as a timing scheme of the comparison learning group Z19.
Step 317: judging whether the timing schemes of the initial learning group Zn and the comparison learning group Z19 are consistent; if yes, go to step 318; if not, step 319 is performed.
Step 318: the timing scheme Zn of the initial learning group is determined as the timing scheme from the start time of the initial learning group to the end time of the comparison learning group.
Step 319: the timing scheme Zn of the initial learning group is determined as the timing scheme from the initial learning group starting time to the end time, and the timing scheme Z19 of the comparison learning group is determined as the timing scheme Zn+1 from the comparison learning group starting time to the end time.
Based on the foregoing embodiments, the embodiments of the present application provide a traffic light timing scheme determining device, and referring to fig. 4, the traffic light timing scheme determining device 400 provided in the embodiments of the present application at least includes:
a first data acquisition unit 401 for acquiring first lamp color change data;
a data analysis unit 402, configured to determine, when there are a plurality of preset timing schemes, a preset timing scheme matching the change time of the first lamp color change data from the plurality of preset timing schemes as a preselected timing scheme;
a second data acquisition unit 403 for acquiring second lamp color change data;
A timing scheme determining unit 404, configured to determine whether the first light color change data and the second light color change data conform to a light color change rule in a preselected timing scheme; if yes, determining the preselected timing scheme as the current timing scheme; if not, acquiring the first quantity of lamp color change data, and learning to obtain the current timing scheme.
In one possible implementation, the timing scheme determining unit 404 is specifically configured to:
selecting a second quantity of lamp color change data from the first quantity of lamp color change data as a first learning group, and determining a first timing scheme of the first learning group;
determining a second timing scheme of a third number of the first number of the lamp color change data except the second number of the lamp color change data;
judging whether the first timing scheme is consistent with the second timing scheme;
if yes, determining the first timing scheme as the current timing scheme;
if not, determining the first timing scheme as the timing scheme corresponding to the learning starting time of the first learning group, and acquiring the first quantity of lamp color change data according to the learning starting time of the second timing scheme to learn so as to obtain the current timing scheme.
In one possible implementation, the traffic light timing scheme determining apparatus 400 further includes:
a signal acquisition unit 405, configured to acquire a level signal for controlling a traffic light;
the data generation unit 406 is configured to generate lamp color change data based on the lamp color and the change time that cause the level change if there is a level change in the level signal.
In one possible embodiment, the traffic light timing scheme determining device further includes:
the scheme learning unit 407 is configured to, when determining that there are no multiple preset timing schemes, take the change time of the first lamp color change data as a learning start time, acquire the lamp color change data in real time in a preset learning period, and perform timing scheme learning to obtain all timing schemes of the traffic lights in the preset learning period.
In one possible implementation, the scheme learning unit 407 is specifically configured to:
when the time of the current lamp color change data is determined to be in a preset time period, acquiring a preset number of lamp color change data which are continuous with the time of the current lamp color change data as an initial learning group, and determining a timing scheme of the initial learning group;
acquiring a preset number of lamp color change data which are continuous with the ending time of the initial learning group as a comparison learning group, and determining a timing scheme of the comparison learning group;
Judging whether the timing schemes of the initial learning group and the comparison learning group are consistent;
if yes, determining the timing scheme of the initial learning group as the timing scheme from the starting time of the initial learning group to the ending time of the comparison learning group;
if not, determining the timing scheme of the initial learning group as the timing scheme from the initial learning group starting time to the end time, and determining the timing scheme of the comparison learning group as the timing scheme from the comparison learning group starting time to the end time.
In one possible implementation, the traffic light timing scheme determining apparatus 400 further includes:
the data sending unit 408 is configured to determine countdown data based on the current timing scheme, and send the current timing scheme and the countdown data to the data acquisition and control platform.
In one possible implementation, the traffic light timing scheme determining apparatus 400 further includes:
the scheme updating unit 409 is configured to receive a scheme updating instruction sent by the data acquisition and control platform, and update a plurality of preset timing schemes according to the timing scheme in the scheme updating instruction.
It should be noted that, the principle of solving the technical problem by the traffic light timing scheme determining device 400 provided in the embodiment of the present application is similar to that of the traffic light timing scheme determining method provided in the embodiment of the present application, so that the implementation of the traffic light timing scheme determining device 400 provided in the embodiment of the present application can refer to the implementation of the traffic light timing scheme determining method provided in the embodiment of the present application, and the repetition is omitted.
After the method and the device for determining the traffic light timing scheme provided by the embodiment of the application are introduced, the electronic equipment provided by the embodiment of the application is briefly introduced.
Referring to fig. 5, an electronic device 500 provided in an embodiment of the present application at least includes: the traffic light timing scheme determination method provided by the embodiment of the application is implemented by the processor 501, the memory 502 and a computer program stored in the memory 502 and capable of running on the processor 501 when the processor 501 executes the computer program.
It should be noted that the electronic device 500 shown in fig. 5 is only an example, and should not impose any limitation on the functions and application scope of the embodiments of the present application.
The electronic device 500 provided by embodiments of the present application may also include a bus 503 that connects the different components, including the processor 501 and the memory 502. Where bus 503 represents one or more of several types of bus structures, including a memory bus, a peripheral bus, a local bus, and so forth.
The Memory 502 may include readable media in the form of volatile Memory, such as random access Memory (Random Access Memory, RAM) 5021 and/or cache Memory 5022, and may further include Read Only Memory (ROM) 5023.
The memory 502 may also include a program tool 5025 having a set (at least one) of program modules 5024, the program modules 5024 including, but not limited to: an operating subsystem, one or more application programs, other program modules, and program data, each or some combination of which may include an implementation of a network environment.
The electronic device 500 may also communicate with one or more external devices 504 (e.g., keyboard, remote control, etc.), with one or more devices that enable a user to interact with the electronic device 500 (e.g., cell phone, computer, etc.), and/or with any device that enables the electronic device 500 to communicate with one or more other electronic devices 500 (e.g., router, modem, etc.). Such communication may be through an Input/Output (I/O) interface 505. Also, electronic device 500 may communicate with one or more networks such as a local area network (Local Area Network, LAN), a wide area network (Wide Area Network, WAN), and/or a public network such as the internet via network adapter 506. As shown in fig. 5, network adapter 506 communicates with other modules of electronic device 500 over bus 503. It should be appreciated that although not shown in fig. 5, other hardware and/or software modules may be used in connection with electronic device 500, including, but not limited to: microcode, device drivers, redundant processors, external disk drive arrays, disk array (Redundant Arrays of Independent Disks, RAID) subsystems, tape drives, data backup storage subsystems, and the like.
The following describes a computer-readable storage medium provided in an embodiment of the present application. The computer readable storage medium provided by the embodiment of the application stores computer instructions, which when executed by the processor, implement the traffic light timing scheme determining method provided by the embodiment of the application. Specifically, the computer instructions may be built into or installed in the electronic device 500, so that the electronic device 500 may implement the traffic light timing scheme determination method provided in the embodiments of the present application by executing the built-in or installed computer instructions.
In addition, the traffic light timing scheme determination method provided in the embodiment of the present application may also be implemented as a program product, which includes program code for causing the electronic device 500 to execute the traffic light timing scheme determination method provided in the embodiment of the present application when the program product is executable on the electronic device 500.
The program product provided by the embodiments of the present application may employ any combination of one or more readable media, where the readable media may be a readable signal medium or a readable storage medium, and the readable storage medium may be, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination thereof, and more specific examples (a non-exhaustive list) of the readable storage medium include: an electrical connection having one or more wires, a portable disk, a hard disk, a RAM, a ROM, an erasable programmable read-Only Memory (Erasable Programmable Read Only Memory, EPROM), an optical fiber, a portable compact disk read-Only Memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
The program product provided by the embodiments of the present application may be implemented as a CD-ROM and include program code that may also be run on a computing device. However, the program product provided by the embodiments of the present application is not limited thereto, and in the embodiments of the present application, the readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device.
It should be noted that although several units or sub-units of the apparatus are mentioned in the above detailed description, such a division is merely exemplary and not mandatory. Indeed, the features and functions of two or more of the elements described above may be embodied in one element in accordance with embodiments of the present application. Conversely, the features and functions of one unit described above may be further divided into a plurality of units to be embodied.
Furthermore, although the operations of the methods of the present application are depicted in the drawings in a particular order, this is not required to or suggested that these operations must be performed in this particular order or that all of the illustrated operations must be performed in order to achieve desirable results. Additionally or alternatively, certain steps may be omitted, multiple steps combined into one step to perform, and/or one step decomposed into multiple steps to perform.
While preferred embodiments of the present application have been described, additional variations and modifications in those embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. It is therefore intended that the following claims be interpreted as including the preferred embodiments and all such alterations and modifications as fall within the scope of the application.
It will be apparent to those skilled in the art that various modifications and variations can be made to the embodiments of the present application without departing from the spirit and scope of the embodiments of the present application. Thus, if such modifications and variations of the embodiments of the present application fall within the scope of the claims and the equivalents thereof, the present application is intended to encompass such modifications and variations.
Claims (8)
1. A method for determining a timing scheme of a traffic light, comprising:
acquiring first lamp color change data;
when a plurality of preset timing schemes exist, determining a preset timing scheme matched with the change time of the first lamp color change data from the plurality of preset timing schemes as a preselected timing scheme;
acquiring second lamp color change data;
judging whether the first lamp color change data and the second lamp color change data accord with the lamp color change rule in the preselected timing scheme or not;
If yes, determining the pre-selected timing scheme as a current timing scheme;
if not, acquiring the first quantity of lamp color change data, and learning to obtain a current timing scheme;
after the first lamp color change data is obtained, the method further comprises:
when a plurality of preset timing schemes do not exist, taking the change time of the first lamp color change data as the learning starting time, and acquiring the lamp color change data in real time in a preset learning period to perform timing scheme learning to obtain all timing schemes of traffic lamps in the preset learning period;
the method for obtaining the lamp color change data in real time in the preset learning period to perform timing scheme learning to obtain all timing schemes of the traffic lamp in the preset learning period comprises the following steps:
when the time of the current lamp color change data is determined to be in a preset time period, acquiring a preset number of lamp color change data which are continuous with the time of the current lamp color change data as an initial learning group, and determining a timing scheme of the initial learning group;
acquiring a preset number of lamp color change data which are continuous with the ending time of the initial learning group as a comparison learning group, and determining a timing scheme of the comparison learning group;
Judging whether the timing schemes of the initial learning group and the comparison learning group are consistent;
if yes, determining a timing scheme of the initial learning group as a timing scheme from the starting time of the initial learning group to the ending time of the comparison learning group;
if not, determining the timing scheme of the initial learning group as the timing scheme from the initial learning group starting time to the end time, and determining the timing scheme of the comparison learning group as the timing scheme from the comparison learning group starting time to the end time.
2. The traffic light timing scheme determination method according to claim 1, wherein the obtaining the first number of light color change data for learning to obtain the current timing scheme comprises:
selecting a second quantity of lamp color change data from the first quantity of lamp color change data as a first learning group, and determining a first timing scheme of the first learning group;
determining a second timing scheme of a third number of the lamp color change data except the second number of the lamp color change data in the first number of the lamp color change data;
judging whether the first timing scheme is consistent with the second timing scheme or not;
if yes, determining the first timing scheme as a current timing scheme;
If not, determining the first timing scheme as the timing scheme corresponding to the learning starting time of the first learning group, and acquiring first quantity of lamp color change data according to the learning starting time of the second timing scheme to learn so as to obtain the current timing scheme.
3. The traffic light timing scheme determination method according to claim 1, wherein before the obtaining the first light color change data, further comprising:
acquiring a level signal for controlling a traffic light;
if there is a level change in the level signal, lamp color change data is generated based on the lamp color and change time causing the level change.
4. The traffic light timing scheme determination method according to claim 1, wherein after the determination of the current timing scheme of the traffic light, further comprising:
and determining countdown data based on the current timing scheme, and sending the current timing scheme and the countdown data to a data acquisition and control platform.
5. The traffic light timing scheme determination method as claimed in claim 4, further comprising:
and receiving a scheme updating instruction sent by the data acquisition and control platform, and updating a plurality of preset timing schemes according to the timing schemes in the scheme updating instruction.
6. A traffic light timing scheme determination apparatus, comprising:
the first signal sensing unit is used for acquiring first lamp color change data;
a data analysis unit for determining, when a plurality of preset timing schemes exist, a preset timing scheme matching the change time of the first lamp color change data from the plurality of preset timing schemes as a preselected timing scheme;
the second signal sensing unit is used for acquiring second lamp color change data;
a timing scheme determining unit for determining whether the first lamp color change data and the second lamp color change data conform to the lamp color change rule in the preselected timing scheme; if yes, determining the pre-selected timing scheme as a current timing scheme; if not, acquiring the first quantity of lamp color change data, and learning to obtain a current timing scheme;
the scheme learning unit is used for determining that when a plurality of preset timing schemes do not exist, taking the change time of the first lamp color change data as the learning starting time, and acquiring the lamp color change data in real time in a preset learning period to perform timing scheme learning so as to obtain all timing schemes of the traffic lights in the preset learning period;
The scheme learning unit is specifically configured to: when the time of the current lamp color change data is determined to be in a preset time period, acquiring a preset number of lamp color change data which are continuous with the time of the current lamp color change data as an initial learning group, and determining a timing scheme of the initial learning group; acquiring a preset number of lamp color change data which are continuous with the ending time of the initial learning group as a comparison learning group, and determining a timing scheme of the comparison learning group; judging whether the timing schemes of the initial learning group and the comparison learning group are consistent; if yes, determining a timing scheme of the initial learning group as a timing scheme from the starting time of the initial learning group to the ending time of the comparison learning group; if not, determining the timing scheme of the initial learning group as the timing scheme from the initial learning group starting time to the end time, and determining the timing scheme of the comparison learning group as the timing scheme from the comparison learning group starting time to the end time.
7. A traffic light timing scheme determination system, comprising: determining a terminal, a data acquisition and control platform, a data application terminal and a platform according to a traffic light timing scheme;
The traffic light timing scheme determining terminal is used for acquiring first light color change data; when a plurality of preset timing schemes exist, determining a preset timing scheme matched with the change time of the first lamp color change data from the plurality of preset timing schemes as a preselected timing scheme; acquiring second lamp color change data; judging whether the first lamp color change data and the second lamp color change data accord with the lamp color change rule in the preselected timing scheme or not; if yes, determining the pre-selected timing scheme as a current timing scheme; if not, acquiring the first quantity of lamp color change data, and learning to obtain a current timing scheme; when a plurality of preset timing schemes do not exist, taking the change time of the first lamp color change data as the learning starting time, and acquiring the lamp color change data in real time in a preset learning period to perform timing scheme learning to obtain all timing schemes of traffic lamps in the preset learning period;
the method for obtaining the lamp color change data in real time in the preset learning period to perform timing scheme learning to obtain all timing schemes of the traffic lamp in the preset learning period comprises the following steps:
when the time of the current lamp color change data is determined to be in a preset time period, acquiring a preset number of lamp color change data which are continuous with the time of the current lamp color change data as an initial learning group, and determining a timing scheme of the initial learning group; acquiring a preset number of lamp color change data which are continuous with the ending time of the initial learning group as a comparison learning group, and determining a timing scheme of the comparison learning group; judging whether the timing schemes of the initial learning group and the comparison learning group are consistent; if yes, determining a timing scheme of the initial learning group as a timing scheme from the starting time of the initial learning group to the ending time of the comparison learning group; if not, determining the timing scheme of the initial learning group as the timing scheme from the initial learning group starting time to the end time, and determining the timing scheme of the contrast learning group as the timing scheme from the contrast learning group starting time to the end time;
The data acquisition and control platform is used for acquiring the timing scheme sent by the traffic light timing scheme determination terminal, analyzing and storing the current timing scheme and sending the current timing scheme to the data application terminal and the platform;
the data application terminal and the platform are used for receiving the current timing scheme sent by the data acquisition and control platform.
8. An electronic device, comprising: a memory, a processor and a computer program stored on the memory and executable on the processor, the processor implementing the traffic light timing scheme determination method according to any one of claims 1-5 when the computer program is executed.
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Citations (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111009139A (en) * | 2019-11-11 | 2020-04-14 | 京东数字科技控股有限公司 | Signal lamp timing information processing method and device and vehicle-road cooperative system |
| CN111681433A (en) * | 2020-05-14 | 2020-09-18 | 黄传明 | Intersection traffic signal lamp timing optimization method and device |
| CN112528926A (en) * | 2020-12-21 | 2021-03-19 | 北京百度网讯科技有限公司 | Method, device and equipment for detecting signal lamp image abnormity and storage medium |
| CN112905912A (en) * | 2021-03-30 | 2021-06-04 | 第四范式（北京）技术有限公司 | Timing scheme determination method and device |
| CN113129625A (en) * | 2021-04-16 | 2021-07-16 | 阿波罗智联(北京)科技有限公司 | Vehicle control method and device, electronic equipment and vehicle |
| CN113593261A (en) * | 2021-06-30 | 2021-11-02 | 高新兴科技集团股份有限公司 | Signal lamp countdown processing method, device, system, equipment and storage medium |
| JP2021192284A (en) * | 2020-09-03 | 2021-12-16 | 阿波▲羅▼智▲聯▼（北京）科技有限公司 | Signal light data display method, device, server, terminal, system and medium |
| CN114677657A (en) * | 2022-02-17 | 2022-06-28 | 浙江大华技术股份有限公司 | Signal lamp time domain state detection method, model training method and related device |
| CN114758515A (en) * | 2022-04-29 | 2022-07-15 | 腾讯科技（深圳）有限公司 | Method, device, equipment and storage medium for determining traffic light timing |
| CN114898583A (en) * | 2022-07-13 | 2022-08-12 | 深圳市城市交通规划设计研究中心股份有限公司 | Signal lamp control scheme determining method and data processing method of intelligent traffic equipment |
| WO2022188387A1 (en) * | 2021-03-11 | 2022-09-15 | 华南理工大学 | Multi-model learning particle swarm-based intelligent city signal light timing optimization method |
| CN115311879A (en) * | 2022-08-01 | 2022-11-08 | 初速度(深圳)科技有限公司 | Vehicle control method, device, equipment, medium and vehicle |
Family Cites Families (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US10126135B2 (en) * | 2015-12-15 | 2018-11-13 | Nissan North America, Inc. | Traffic signal timing estimation using an artificial neural network model |
| CN113327449B (en) * | 2021-05-27 | 2024-01-02 | 阿波罗智联(北京)科技有限公司 | Method and device for detecting lamp state data |
-
2022
- 2022-12-12 CN CN202211597682.XA patent/CN116434576B/en active Active
Patent Citations (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111009139A (en) * | 2019-11-11 | 2020-04-14 | 京东数字科技控股有限公司 | Signal lamp timing information processing method and device and vehicle-road cooperative system |
| CN111681433A (en) * | 2020-05-14 | 2020-09-18 | 黄传明 | Intersection traffic signal lamp timing optimization method and device |
| JP2021192284A (en) * | 2020-09-03 | 2021-12-16 | 阿波▲羅▼智▲聯▼（北京）科技有限公司 | Signal light data display method, device, server, terminal, system and medium |
| CN112528926A (en) * | 2020-12-21 | 2021-03-19 | 北京百度网讯科技有限公司 | Method, device and equipment for detecting signal lamp image abnormity and storage medium |
| WO2022188387A1 (en) * | 2021-03-11 | 2022-09-15 | 华南理工大学 | Multi-model learning particle swarm-based intelligent city signal light timing optimization method |
| CN112905912A (en) * | 2021-03-30 | 2021-06-04 | 第四范式（北京）技术有限公司 | Timing scheme determination method and device |
| CN113129625A (en) * | 2021-04-16 | 2021-07-16 | 阿波罗智联(北京)科技有限公司 | Vehicle control method and device, electronic equipment and vehicle |
| CN113593261A (en) * | 2021-06-30 | 2021-11-02 | 高新兴科技集团股份有限公司 | Signal lamp countdown processing method, device, system, equipment and storage medium |
| CN114677657A (en) * | 2022-02-17 | 2022-06-28 | 浙江大华技术股份有限公司 | Signal lamp time domain state detection method, model training method and related device |
| CN114758515A (en) * | 2022-04-29 | 2022-07-15 | 腾讯科技（深圳）有限公司 | Method, device, equipment and storage medium for determining traffic light timing |
| CN114898583A (en) * | 2022-07-13 | 2022-08-12 | 深圳市城市交通规划设计研究中心股份有限公司 | Signal lamp control scheme determining method and data processing method of intelligent traffic equipment |
| CN115311879A (en) * | 2022-08-01 | 2022-11-08 | 初速度(深圳)科技有限公司 | Vehicle control method, device, equipment, medium and vehicle |
Also Published As
| Publication number | Publication date |
|---|---|
| CN116434576A (en) | 2023-07-14 |
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