CN115273506A - Traffic signal lamp control method and device and electronic equipment - Google Patents
Traffic signal lamp control method and device and electronic equipment Download PDFInfo
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- CN115273506A CN115273506A CN202210897652.4A CN202210897652A CN115273506A CN 115273506 A CN115273506 A CN 115273506A CN 202210897652 A CN202210897652 A CN 202210897652A CN 115273506 A CN115273506 A CN 115273506A
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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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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/07—Controlling traffic signals
- G08G1/08—Controlling traffic signals according to detected number or speed of vehicles
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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
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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
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- 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
Abstract
The application discloses a traffic signal lamp control method, a traffic signal lamp control device and electronic equipment, wherein the traffic signal lamp control method comprises the following steps: determining a first acquisition period and a second acquisition period which have an incidence relation and are used for acquiring traffic object flow data; acquiring a first time function of each phase in a first acquisition cycle and a second time function of each phase in a second acquisition cycle, wherein the time functions represent the corresponding relation between the flow saturation of the passing object and the time periods; determining a candidate adjustment time period for each phase based on the first time function and the second time function; determining a target adjustment time period of a target phase based on the candidate adjustment time period of the target phase and the candidate adjustment time periods of other phases except the target phase, wherein the target phase is the phase determined in each phase; and controlling the signal lamp corresponding to the target phase to adjust the green signal ratio in the target adjustment time period. The signal lamp control method and the signal lamp control system can accurately control the green signal ratio of the signal lamp, and effectively prevent the intersection congestion.
Description
Technical Field
The application relates to the technical field of information processing, in particular to a traffic signal lamp control method and device and electronic equipment.
Background
In the conventional traffic signal lamp control, signal lamp control is usually performed according to fixed time, and because the signal lamp period, the green signal ratio and the like of a plurality of intersections are unreasonable, road congestion is easily caused.
Disclosure of Invention
In view of this, the present application provides the following technical solutions:
a traffic signal control method, comprising:
determining an acquisition period for acquiring traffic object flow data, wherein the acquisition period at least comprises a first acquisition period and a second acquisition period which have an incidence relation;
acquiring a first time function of each phase in the first acquisition period and a second time function of each phase in the second acquisition period, wherein the time functions represent the corresponding relation between the flow saturation of the passing object and the time period;
determining a candidate adjustment time period for each phase based on the first and second time functions;
determining a target adjustment time period of a target phase based on a candidate adjustment time period of the target phase and candidate adjustment time periods of other phases except the target phase, wherein the target phase is determined in each phase;
and controlling the signal lamp corresponding to the target phase to adjust the split ratio in the target adjustment time period.
Optionally, the method further comprises:
determining flow data of the passing object corresponding to each phase different time period in each acquisition period;
determining a flow saturation parameter corresponding to each time period based on the flow data and a target flow threshold;
and determining a time function according to the flow saturation parameter and the corresponding time period.
Optionally, the determining a candidate adjustment time period for each phase based on the first time function and the second time function includes:
determining a first time period for each phase to meet congestion conditions in the first acquisition cycle based on the first time function;
determining a second time period for each phase to meet congestion conditions in the second acquisition cycle based on the second time function;
determining a candidate adjustment time period for each phase based on the first time period and the second time period.
Optionally, the determining the target adjustment time period of the target phase based on the candidate adjustment time of the target phase and the candidate adjustment time periods of other phases except the target phase includes:
determining a first phase having a target relationship with a target phase;
determining a target adjustment time period for the target phase based on the candidate adjustment time period for the target phase and the candidate adjustment time period for the first phase.
Optionally, the controlling the signal lamp corresponding to the target phase to adjust the split ratio within the target adjustment time period includes:
acquiring a signal period of a signal lamp corresponding to the target phase in the target adjustment time period;
determining a target light color of the signal lamp to be adjusted in the signal period;
and controlling the display duration of the target light color corresponding to the signal lamp to be adjusted to the duration corresponding to the target green signal ratio.
Optionally, the method further comprises:
determining an associated phase corresponding to the target phase;
determining a first adjusting mode of a green signal ratio of a signal lamp corresponding to the target phase in the target adjusting time period;
determining a second adjustment mode matching the first adjustment mode;
and adjusting the split ratio of the signal lamp of the associated phase within the target adjustment time period based on the second adjustment mode.
Optionally, the method further comprises:
recording a target adjustment time period corresponding to each phase in each acquisition cycle;
based on the target adjustment period, an adjustment period of the phase at a target time is determined, wherein the target time is a future time corresponding to an acquisition cycle.
A traffic signal control apparatus comprising:
the traffic object flow data acquisition device comprises a first determination unit, a second determination unit and a control unit, wherein the first determination unit is used for determining an acquisition period for acquiring traffic object flow data, and the acquisition period at least comprises a first acquisition period and a second acquisition period which have an incidence relation;
the acquisition unit is used for acquiring a first time function of each phase in the first acquisition period and a second time function of each phase in the second acquisition period, wherein the time functions represent the corresponding relation between the flow saturation of the passing object and the time periods;
a second determining unit configured to determine a candidate adjustment period for each phase based on the first time function and the second time function;
a third determining unit, configured to determine a target adjustment time period of a target phase based on a candidate adjustment time period of the target phase and a candidate adjustment time period of another phase except the target phase, where the target phase is determined in each of the phases;
and the control unit is used for controlling the signal lamp corresponding to the target phase to adjust the green signal ratio in the target adjustment time period.
A storage medium having stored thereon a computer program which, when executed by a processor, implements a traffic signal control method as in any one of the above.
An electronic device, the electronic device comprising:
a memory for storing an application program and data generated by the operation of the application program;
a processor for executing the application program to implement the traffic signal light control method as described in any one of the above.
By the above technical solution, the present application discloses a traffic signal lamp control method, device and electronic device, including: determining an acquisition period for acquiring traffic object flow data, wherein the acquisition period at least comprises a first acquisition period and a second acquisition period which have an incidence relation; acquiring a first time function of each phase in a first acquisition cycle and a second time function of each phase in a second acquisition cycle, wherein the time functions represent the corresponding relation between the flow saturation of the passing object and the time period; determining a candidate adjustment time period for each phase based on the first time function and the second time function; determining a target adjustment time period of a target phase based on the candidate adjustment time period of the target phase and the candidate adjustment time periods of other phases except the target phase, wherein the target phase is the phase determined in each phase; and controlling the signal lamp corresponding to the target phase to adjust the split ratio in the target adjustment time period. The green letter ratio of signal lamp can be accurately controlled, and the intersection jam condition is effectively prevented.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the following description are only embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings based on the provided drawings without creative efforts.
Fig. 1 is a schematic phase diagram according to an embodiment of the present disclosure;
fig. 2 is a schematic flow chart of a traffic light control method according to an embodiment of the present disclosure;
fig. 3 is a schematic diagram of determining an a-phase congestion time period according to an embodiment of the present disclosure;
fig. 4 is a schematic diagram of a congestion time period in which an a phase and a B phase coincide with each other according to an embodiment of the present disclosure;
FIG. 5 is a diagram illustrating the operation results after the A phase and the B phase according to an embodiment of the present application;
fig. 6 is a schematic structural diagram of a traffic signal lamp control device according to an embodiment of the present application.
Detailed Description
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 a part of the embodiments of the present application, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
The embodiment of the application provides a traffic signal lamp control method, which can be applied to a timing adjustment scene of a traffic signal lamp, and can effectively determine adjustment control information of a green-to-noise ratio of a target phase in a target adjustment time period based on a corresponding relation between flow saturation of each phase and the time period, so that the intersection congestion situation can be stably and adaptively prevented, the intersection does not need to be acted when the intersection is congested or is about to be congested, and the accuracy and the effectiveness of adjustment control information are improved.
For convenience of description of the embodiments of the present application, terms related to a traffic signal to which the embodiments of the present application are applied will now be described.
Each control state (right of way) at the signalized intersection, i.e., the combination of different light colors displayed for different directions of various entrance lanes, is called a traffic signal phase, and referring to fig. 1, a schematic phase diagram provided in the embodiment of the present application may include 12 phases in fig. 1, and specifically may be briefly described as north left, north right, south left, south right, east left, east right, west left, west right, and west right.
And (3) color of the lamp: the signal lamp only has three colors of red, green and yellow, and the three lights can appear alternately according to a certain sequence, generally the sequence of green, yellow and red.
Signal period of traffic light: the time taken for the signal lamp of each phase to go through one color wheel revolution of green, yellow and red lamps is one period, i.e. the period of each phase is usually the same.
Timing: the time length of each light color of the signal lamp is indicated, and the timing of the three light colors is added together to form a signal period.
Referring to fig. 2, a schematic flow chart of a traffic signal light control method provided in an embodiment of the present application may include the following steps:
s201, determining an acquisition period for acquiring traffic object flow data.
Wherein the acquisition period at least comprises a first acquisition period and a second acquisition period which have an incidence relation. The association relationship between the first acquisition period and the second acquisition period may be an association relationship capable of characterizing time characteristics, for example, the second acquisition period and the first acquisition period have the same time attribute, such as working days or holidays, so that the acquired traffic object flow data can reflect data of an actual application scene better. For example, the congestion situation of an intersection on saturday needs to be predicted, and the traffic signal lamp is adjusted according to the congestion situation, so that both the first acquisition cycle and the second acquisition cycle can be the acquisition cycles corresponding to the previous holidays. If the intersection congestion condition of friday needs to be predicted, the first acquisition period may be the day and the week before friday, and the second acquisition period may include monday, tuesday, and wednesday. It should be noted that the first acquisition cycle and the second acquisition cycle may each include a plurality of time segments, the first acquisition cycle may be an acquisition cycle closest to the time to be adjusted, and the second acquisition cycle may be an acquisition time segment before the first acquisition cycle. For example, if the road congestion condition of 9 # needs to be predicted, the first acquisition period is 8 # and the second acquisition period may include 6 # s, 7 # s and 8 # s. Correspondingly, each acquisition cycle may include a plurality of acquisition time periods, and if the unit of minute is the first acquisition cycle is 24 hours, the corresponding acquisition time periods are 1440. The second acquisition cycle may include a plurality of sub-acquisition cycles, each sub-acquisition cycle is also a time length matched with the first acquisition cycle, i.e. one day, and correspondingly, the acquisition time period of each sub-acquisition cycle is also 1440. Specifically, if the second acquisition cycle includes at least one sub-acquisition cycle, the acquisition duration of the sub-acquisition cycle is the same as the acquisition duration of the first acquisition cycle, and the acquisition time period is also the same, the number of sub-acquisition cycles in the second acquisition cycle and the size of the acquisition time period may be determined based on an actual application scenario.
The traffic object flow data are acquired in the acquisition period, so that the problem of deviation of the congestion condition estimated only by the current acquisition time can be avoided. In the embodiment of the application, the traffic object comprises pedestrians and/or traffic vehicles, and the determination can be carried out based on a specific application scene.
S202, acquiring a first time function of each phase in the first acquisition period and a second time function of each phase in the second acquisition period.
The time function represents the corresponding relation between the flow saturation of the traffic object and the time periods, wherein the first acquisition cycle and the second acquisition cycle are divided by the same time length, and a plurality of time periods can be obtained, for example, in minutes, and 1440 time periods can be included. Flow saturation refers to the ratio of the actual traffic flow to the saturated capacity of the vehicle. The flow saturation is obtained by dividing the traffic flow of the road or the intersection by the traffic capacity of the road or the intersection.
The time function may be a function of 0 and 1 over time, i.e. the flow saturation parameter for flow saturation is 0 or 1. The flow saturation parameter may be determined to be 0 or 1 based on the set target flow threshold.
Correspondingly, an embodiment of the present application further provides a method for generating a time function, where the method may include: determining flow data of the passing object corresponding to each phase different time period in each acquisition period; determining a flow saturation parameter corresponding to each time period based on the flow data and a target flow threshold; and determining a time function according to the flow saturation parameter and the corresponding time period.
Each phase is each phase of the current single-intersection, and the traffic data of the passing objects can be a numerical value corresponding to the traffic saturation, and can also be the number of the passing objects in the current time period. The target traffic threshold may be set according to an attribute of the selected traffic data, and specifically, may be set according to historical traffic data corresponding to the current phase. And when the data value corresponding to the flow data of each time period is greater than or equal to the target flow threshold value, determining that the flow saturation parameter corresponding to the time period is 1, otherwise, determining that the flow saturation parameter corresponding to the time period is 0, and finally generating a 0 and 1 function of the phase along with the time according to the flow saturation parameter and the corresponding time period.
Based on the time function, flow saturation data corresponding to each phase at each time period can be obtained.
And S203, determining a candidate adjusting time period of each phase based on the first time function and the second time function.
For example, the first time function may be a time function generated according to the flow data acquired in No. 4/month and No. 9 from 0 to 24 hours, the second time function may be a time function generated according to the flow data acquired in No. 4/month and No. 8 from 0 to 24 hours, and correspondingly, the second time functions may be multiple.
The time period in which each phase is relatively congested in each acquisition cycle may be determined according to the first time function and the second time function, and the time period may be determined as a candidate adjustment time period. Correspondingly, in an embodiment, the determining the candidate adjustment time period for each phase based on the first time function and the second time function includes: determining a first time period during which each phase meets the congestion condition in a first acquisition cycle based on a first time function; determining a second time period for each phase to meet the congestion condition in a second acquisition cycle based on a second time function; based on the first time period and the second time period, a candidate adjustment time period for each phase is determined.
In this embodiment, the congestion condition may be determined based on a time function, and if the time function is a function of time of the obtained 0 and 1, the time period satisfying the congestion condition is a time period corresponding to 1. Further, the time period satisfying the congestion condition may also correspond to a time period in which the time period duration of 1 is greater than the duration threshold, for example, a time period corresponding to 1 indicates congestion, but the congestion time period is only 0.5 minute, and may not be within the range of the candidate adjustment time period. Specifically, after the first time period and the second time period are obtained, the candidate adjustment time period may be determined through an and operation. For example, if the first period of phase A is 1-4 minutes and the second period of phase A is 2-5 minutes, the candidate adjustment period for phase A is 2-4 minutes.
And S204, determining the target adjustment time period of the target phase based on the candidate adjustment time period of the target phase and the candidate adjustment time periods of other phases except the target phase.
The target phase is a phase determined among the phases, that is, one of the phases belonging to the current intersection. For example, a certain phase to be adjusted may be specified, or a phase in which the number of times of occurrence of congestion is the largest may be determined from a time function.
The mutual influence of the phase adjustment is eliminated by comparing the candidate adjustment time periods according to the target phase and the candidate adjustment time periods of other phases except the target phase. The other phases may be each phase other than the target phase, or a part of the phases that can affect the target phase adjustment may be selected to improve the processing efficiency. In one embodiment, the determining the target adjustment time period of the target phase based on the candidate adjustment time of the target phase and the candidate adjustment time periods of other phases except the target phase includes: determining a first phase having a target relationship with a target phase; the target adjustment period for the target phase is determined based on the candidate adjustment period for the target phase and the candidate adjustment period for the first phase.
In this embodiment, the target relationship may be a relationship of the phase in the relevant direction of the traffic, or a relationship corresponding to the phase change order, for example, the target phase is north straight in fig. 1, and the phase adjustment time of the phase corresponding to south straight should be the same as that of north straight, and it does not belong to the range of the first phase. If the north straight phase is adjusted, the passing time of the straight east and west signal lamps is affected, and therefore, the first phase can be determined as the phase corresponding to the straight east and west. Thus, a first phase with a relation is determined and then the subsequent processing is carried out, compared with the comparison of the candidate adjustment time period of the target phase and the candidate time periods of all other phases, the processing efficiency is higher, and the used computing resources are less.
Specifically, when the target adjustment time period is determined by processing the candidate time period of the target phase and the candidate time period of the first phase, an exclusive or operation may be performed to eliminate the congested conflicting phase. Assuming that the candidate adjustment period of the a phase is 2-4 minutes and the candidate adjustment period of the B phase is 3-5 minutes, the target adjustment period of the a phase is 2-3 minutes and the target adjustment period of the B phase is 4-5 minutes.
And S205, controlling the signal lamp corresponding to the target phase to adjust the green signal ratio in the target adjustment time period.
The green signal ratio refers to the time proportion of the signal lamp available for vehicle passing in one signal period, namely the ratio of the effective green lamp time of a certain phase to the signal period duration.
Specifically, the duration of the green light may be extended in the signal period corresponding to the target adjustment time period, or the duration of the red light may be shortened. In one embodiment, the signal lamp corresponding to the control target phase performs the adjustment of the split ratio within the target adjustment time period, and includes: acquiring a signal period of a signal lamp corresponding to a target phase within a target adjustment time period; determining a target light color of a signal lamp to be adjusted in a signal period; and controlling the display time length of the target light color corresponding to the signal lamp to be adjusted to the time length corresponding to the target green signal ratio. The target green signal ratio comprises the minimum duration of the corresponding green light under the condition that the target phase is jammed in the current target adjustment time period. The target light color can be red light or green light, if the red light, the duration of the current red light can be shortened according to the target green letter ratio, and if the green light, the duration of the current green light can be prolonged according to the target green letter ratio. It should be noted that the total duration of the signal period is constant.
According to the traffic signal lamp control method provided by the embodiment of the application, the target adjustment time period of the target phase to be adjusted can be determined by recording the time function of each phase in each acquisition cycle, and then the signal lamp corresponding to the target phase is controlled to carry out the green signal ratio adjustment in the target adjustment time period. The method can stably and adaptively predict the occurrence of the intersection congestion situation based on the existing collected data corresponding to each collection period, and does not need to adjust the related data of the signal lamp when the intersection has occurred or is about to have congestion, so that the prediction convenience and the control accuracy are improved.
In order to reduce the congestion more effectively, the associated phase may be adjusted synchronously after the adjustment mode corresponding to the target phase is determined. In an implementation manner of the embodiment of the present application, the method further includes:
determining an associated phase corresponding to the target phase;
determining a first adjusting mode of a green signal ratio of a signal lamp corresponding to a target phase in a target adjusting time period;
determining a second adjustment mode matching the first adjustment mode;
and adjusting the split ratio of the signal lamp of the associated phase in the target adjustment time period based on the second adjustment mode.
If the signal period of the target phase and the associated phase are the same as the starting time of the green light, the second adjustment mode is the same as the first adjustment mode, and if the starting times of the green light of the target phase and the associated phase are different from each other, the second adjustment mode can be obtained after adaptive adjustment according to the first adjustment mode. For example, at some traffic intersections, the traffic lights of the vehicle and the pedestrian are controlled by separate signal lights in the same direction, and if the signal light corresponding to the vehicle is adjusted, the signal light of the pedestrian can be adjusted according to the adjustment mode of the signal light corresponding to the vehicle, and the calculation does not need to be repeated.
In an implementation manner of the embodiment of the present application, the method further includes:
recording a target adjustment time period corresponding to each phase in each acquisition cycle;
based on the target adjustment period, an adjustment period of the phase of the target time is determined.
Wherein the target time is a future time corresponding to the acquisition period. Therefore, the method and the device can be applied to scenes of predicting intersection congestion and adjusting control information of signal lamps based on historical data acquired in an acquisition cycle. The control information of the signal lamps in the future time period can be generated in advance, and the intersection jam condition is effectively prevented.
The traffic signal lamp control method provided by the embodiment of the present application is described in an actual application scenario below.
Data collection can be carried out in a corresponding collection period through road side equipment of the intersection, if relevant data of flow saturation are collected, the saturation of each phase of the intersection can be sensed through the road side equipment, on the basis of calculating the saturation, the saturation corresponding to each phase of each collection period (such as every day) in different time periods is stored, the flow saturation data in 24 hours can be traversed in the morning every day, statistics and comparison with a preset threshold value are carried out, functions of 0 and 1 with respect to time are obtained, the time period with the highest probability and needing to be adjusted is obtained through iterative computation, exclusive or operation is carried out with time functions of other phases, and operation is carried out with the time period, so that the time period of the phase which does not have phase conflict and needs to be adjusted can be obtained. Then, the green time can be prolonged in the time period, the rest time periods do not need to be adjusted, finally, the adjustment strategy corresponding to the adjustment process is sent to the signal machine for controlling the traffic signal lamp, and the signal machine controls the adjustment of the traffic signal lamp periodically.
Specifically, assume that the phase sequence is a, B, C and D, that is, the next phase of the a phase is the B phase, the acquisition cycle is every day, 1440 minutes are taken every day, the horizontal axis is the number of minutes every day, the vertical axis is a flow saturation parameter (which may also be referred to as a congestion parameter), the parameter has two values, that is, 0 and 1,1 indicate congestion, 0 indicates not congestion, a specific intersection congestion value exceeding a certain threshold is regarded as a congestion state is recorded as 1, otherwise, the traffic congestion value is recorded as 0, a function of 0 and 1 of the phase with time can be obtained at this time for a certain phase, and is expressed as g (t), g (t) epsilon [0,1], where t represents time, and t epsilon [0, 1440].
If the acquisition cycle comprises a first day and a second day, 1-4 minutes of the first day are the time period of the phase A congestion, 2-5 minutes of the second day are also the time period of the phase A congestion, and the two days (or the results of the multiple-day iteration) are subjected to the AND operation to obtain the congestion time period in which the maximum probability of the phase A needs to adjust the split ratio, namely the target adjustment time period is 2-4 minutes. Referring to fig. 3, in fig. 3, the vertical axis V represents a flow saturation parameter (which may also be referred to as a congestion parameter), the horizontal axis T represents time, fig. 3 only shows a part of the time period, and the following time function diagram is similar to the above.
Similarly, assuming that the maximum probability congestion time period of the B phase within the first two days is between 3 and 5 minutes, referring to fig. 4, the congestion time period in which the a phase and the B phase coincide may be excluded, that is, the adjacent a phase and B phase are subjected to exclusive or operation, and the congestion conflict phase is excluded, so as to obtain fig. 5. As can be seen from fig. 5, the congestion time period in which the phase a needs to be adjusted is 2 to 3 minutes per day, and the green time may be prolonged in the congestion time period, or the red time may be shortened in the congestion time period to alleviate congestion.
Correspondingly, the same processing mode can be adopted for the phases B, C and D, except for the first day of the start, a time period needing to be optimized can be obtained every day for the rest, the time period needing to be optimized every day for each phase is stored, so that the stored data can be used for carrying out iterative computation every day afterwards, the optimized strategy is issued to the annunciator, the stability of the optimized time period can be guaranteed to the maximum extent, and the function of predicting congestion in advance is achieved.
In another embodiment of the present application, there is also provided a traffic signal control apparatus, referring to fig. 6, which may include:
a first determining unit 601, configured to determine an acquisition period for acquiring traffic object traffic data, where the acquisition period at least includes a first acquisition period and a second acquisition period that have an association relationship;
an obtaining unit 602, configured to obtain a first time function of each phase in the first acquisition cycle and a second time function of each phase in the second acquisition cycle, where the time functions represent a correspondence between traffic saturation of the passing object and a time period;
a second determining unit 603, configured to determine a candidate adjustment time period for each phase based on the first time function and the second time function;
a third determining unit 604, configured to determine a target adjustment time period of a target phase based on a candidate adjustment time period of the target phase and a candidate adjustment time period of another phase except for the target phase, where the target phase is determined in each of the phases;
and a control unit 605, configured to control the signal lamp corresponding to the target phase to adjust the split ratio within the target adjustment time period.
The embodiment of the application discloses traffic signal lamp controlling means includes: the first determining unit determines an acquisition period for acquiring traffic object flow data, wherein the acquisition period at least comprises a first acquisition period and a second acquisition period which have an incidence relation; the acquisition unit acquires a first time function of each phase in a first acquisition cycle and a second time function of each phase in a second acquisition cycle, wherein the time functions represent the corresponding relation between the flow saturation of the passing object and the time period; a second determination unit determines a candidate adjustment period for each phase based on the first time function and the second time function; a third determining unit determines a target adjustment period of the target phase based on the candidate adjustment period of the target phase and the candidate adjustment periods of the phases other than the target phase, the target phase being the phase determined in each phase; the control unit controls the signal lamp corresponding to the target phase to adjust the green signal ratio in the target adjustment time period. The green letter ratio of signal lamp can be accurately controlled, and the intersection jam condition is effectively prevented.
In one embodiment, the apparatus further comprises a time function generating unit configured to:
determining flow data of the passing object corresponding to each phase different time period in each acquisition period;
determining a flow saturation parameter corresponding to each time period based on the flow data and a target flow threshold;
and determining a time function according to the flow saturation parameter and the corresponding time period.
Optionally, the second determining unit 603 includes:
a first determining subunit, configured to determine, based on the first time function, a first time period during which each phase satisfies a congestion condition in the first acquisition cycle;
a second determining subunit, configured to determine, based on the second time function, a second time period in which each phase satisfies a congestion condition in the second acquisition cycle;
a third determining subunit, configured to determine a candidate adjustment time period for each phase based on the first time period and the second time period.
Optionally, the third determining unit 604 includes:
a fourth determining subunit configured to determine a first phase having a target relationship with the target phase;
a fifth determining subunit, configured to determine a target adjustment time period of the target phase based on the candidate adjustment time period of the target phase and the candidate adjustment time period of the first phase.
In one embodiment, the control unit 605 is specifically configured to:
acquiring a signal period of a signal lamp corresponding to the target phase within the target adjustment time period;
determining a target light color of the signal lamp to be adjusted in the signal period;
and controlling the display duration of the target light color corresponding to the signal lamp to be adjusted to the duration corresponding to the target green signal ratio.
Optionally, the apparatus further comprises an association adjusting unit configured to:
determining an associated phase corresponding to the target phase;
determining a first adjusting mode of a green signal ratio of a signal lamp corresponding to the target phase in the target adjusting time period;
determining a second adjustment mode matching the first adjustment mode;
and adjusting the split ratio of the signal lamp of the associated phase within the target adjustment time period based on the second adjustment mode.
Further, the apparatus further comprises a fourth determination unit for
Recording a target adjustment time period corresponding to each phase in each acquisition cycle;
based on the target adjustment period, an adjustment period of the phase at a target time is determined, wherein the target time is a future time corresponding to an acquisition cycle.
It should be noted that, in the present embodiment, reference may be made to the corresponding contents in the foregoing for specific implementations of each unit and sub-unit, and details are not described here.
In another embodiment of the present application, there is also provided a readable storage medium having stored thereon a computer program which, when being executed by a processor, carries out the steps of the traffic signal light control method according to any one of the above.
In another embodiment of the present application, there is also provided an electronic device, which may include:
a memory for storing an application program and data generated by the application program running;
a processor for executing the application program to implement the traffic signal light control method as described in any one of the above.
It should be noted that, in the present embodiment, reference may be made to the corresponding contents in the foregoing, and details are not described here.
The embodiments in the present description are described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same and similar parts among the embodiments are referred to each other. The device disclosed by the embodiment corresponds to the method disclosed by the embodiment, so that the description is simple, and the relevant points can be referred to the method part for description.
Those of skill would further appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, computer software, or combinations of both, and that the various illustrative components and steps have been described above generally in terms of their functionality in order to clearly illustrate this interchangeability of hardware and software. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.
The steps of a method or algorithm described in connection with the embodiments disclosed herein may be embodied directly in hardware, in a software module executed by a processor, or in a combination of the two. A software module may reside in Random Access Memory (RAM), memory, read Only Memory (ROM), electrically programmable ROM, electrically erasable programmable ROM, registers, hard disk, a removable disk, a CD-ROM, or any other form of storage medium known in the art.
The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present application. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the application. Thus, the present application is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (10)
1. A traffic signal control method, comprising:
determining an acquisition period for acquiring traffic object flow data, wherein the acquisition period at least comprises a first acquisition period and a second acquisition period which have an incidence relation;
acquiring a first time function of each phase in the first acquisition period and a second time function of each phase in the second acquisition period, wherein the time functions represent the corresponding relation between the flow saturation of the passing object and the time period;
determining a candidate adjustment time period for each phase based on the first and second time functions;
determining a target adjustment time period of a target phase based on a candidate adjustment time period of the target phase and candidate adjustment time periods of other phases except the target phase, wherein the target phase is determined in each phase;
and controlling the signal lamp corresponding to the target phase to adjust the split ratio in the target adjustment time period.
2. The method of claim 1, further comprising:
determining flow data of the passing object corresponding to each phase different time period in each acquisition period;
determining a flow saturation parameter corresponding to each time period based on the flow data and a target flow threshold;
and determining a time function according to the flow saturation parameter and the corresponding time period.
3. The method of claim 1, the determining a candidate adjustment time period for each phase based on the first and second time functions, comprising:
determining a first time period for each phase to meet congestion conditions in the first acquisition cycle based on the first time function;
determining a second time period for each phase to meet congestion conditions in the second acquisition cycle based on the second time function;
determining a candidate adjustment time period for each phase based on the first time period and the second time period.
4. The method of claim 1, the determining a target adjustment time period for the target phase based on the candidate adjustment time for the target phase and candidate adjustment time periods for other phases than the target phase, comprising:
determining a first phase having a target relationship with a target phase;
determining a target adjustment time period for the target phase based on the candidate adjustment time period for the target phase and the candidate adjustment time period for the first phase.
5. The method of claim 1, wherein the controlling the signal light corresponding to the target phase to perform the adjustment of the split ratio within the target adjustment time period comprises:
acquiring a signal period of a signal lamp corresponding to the target phase in the target adjustment time period;
determining a target light color of the signal lamp to be adjusted in the signal period;
and controlling the display duration of the target light color corresponding to the signal lamp to be adjusted to the duration corresponding to the target green signal ratio.
6. The method of claim 1, further comprising:
determining an associated phase corresponding to the target phase;
determining a first adjusting mode of a green signal ratio of a signal lamp corresponding to the target phase in the target adjusting time period;
determining a second adjustment mode matching the first adjustment mode;
and adjusting the green signal ratio of the signal lamp of the associated phase in the target adjustment time period based on the second adjustment mode.
7. The method of claim 1, further comprising:
recording a target adjustment time period corresponding to each phase in each acquisition cycle;
based on the target adjustment period, an adjustment period of the phase at a target time is determined, wherein the target time is a future time corresponding to an acquisition cycle.
8. A traffic signal control apparatus comprising:
the traffic object flow data acquisition system comprises a first determining unit, a second determining unit and a control unit, wherein the first determining unit is used for determining an acquisition period for acquiring traffic object flow data, and the acquisition period at least comprises a first acquisition period and a second acquisition period which have an incidence relation;
the acquisition unit is used for acquiring a first time function of each phase in the first acquisition cycle and a second time function of each phase in the second acquisition cycle, wherein the time functions represent the corresponding relation between the flow saturation of the passing object and the time period;
a second determining unit configured to determine a candidate adjustment period for each phase based on the first time function and the second time function;
a third determining unit configured to determine a target adjustment time period of a target phase based on a candidate adjustment time period of the target phase and a candidate adjustment time period of another phase other than the target phase, where the target phase is a phase determined in each of the phases;
and the control unit is used for controlling the signal lamp corresponding to the target phase to adjust the green signal ratio in the target adjustment time period.
9. A storage medium having stored thereon a computer program which, when executed by a processor, implements a traffic signal control method according to any one of claims 1-7.
10. An electronic device, the electronic device comprising:
a memory for storing an application program and data generated by the application program running;
a processor for executing the application program to implement the traffic signal light control method according to any one of claims 1 to 7.
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Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2003132490A (en) * | 2001-10-23 | 2003-05-09 | Mitsubishi Heavy Ind Ltd | Autonomous distributed signal control system, signal control method and program for signal control |
| CN101707000A (en) * | 2009-10-26 | 2010-05-12 | 北京交通大学 | Urban road traffic multiobjective optimization control method |
| CN106530762A (en) * | 2016-12-26 | 2017-03-22 | 东软集团股份有限公司 | Traffic signal control method and device |
| CN112802326A (en) * | 2019-11-13 | 2021-05-14 | 北京百度网讯科技有限公司 | Traffic scheme control method and device |
| CN113936480A (en) * | 2021-11-11 | 2022-01-14 | 青岛海信网络科技股份有限公司 | Traffic signal control method and equipment |
| CN114758495A (en) * | 2022-03-29 | 2022-07-15 | 北京百度网讯科技有限公司 | Traffic signal lamp adjusting method and device and electronic equipment |
-
2022
- 2022-07-28 CN CN202210897652.4A patent/CN115273506B/en active Active
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2003132490A (en) * | 2001-10-23 | 2003-05-09 | Mitsubishi Heavy Ind Ltd | Autonomous distributed signal control system, signal control method and program for signal control |
| CN101707000A (en) * | 2009-10-26 | 2010-05-12 | 北京交通大学 | Urban road traffic multiobjective optimization control method |
| CN106530762A (en) * | 2016-12-26 | 2017-03-22 | 东软集团股份有限公司 | Traffic signal control method and device |
| CN112802326A (en) * | 2019-11-13 | 2021-05-14 | 北京百度网讯科技有限公司 | Traffic scheme control method and device |
| CN113936480A (en) * | 2021-11-11 | 2022-01-14 | 青岛海信网络科技股份有限公司 | Traffic signal control method and equipment |
| CN114758495A (en) * | 2022-03-29 | 2022-07-15 | 北京百度网讯科技有限公司 | Traffic signal lamp adjusting method and device and electronic equipment |
Non-Patent Citations (1)
| Title |
|---|
| 曹弋 等: "过饱和交叉口信号配时参数设置方法", 《大连交通大学学报》, vol. 37, no. 1, pages 1 - 5 * |
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