CN111899536B - Data processing method, device and equipment and computer storage medium - Google Patents

Data processing method, device and equipment and computer storage medium Download PDF

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CN111899536B
CN111899536B CN201910371265.5A CN201910371265A CN111899536B CN 111899536 B CN111899536 B CN 111899536B CN 201910371265 A CN201910371265 A CN 201910371265A CN 111899536 B CN111899536 B CN 111899536B
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road section
wave band
green
green wave
determining
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CN111899536A (en
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刘宇
罗毅
赵�智
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Alibaba Group Holding Ltd
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Alibaba Group Holding Ltd
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Priority to PCT/CN2020/086573 priority patent/WO2020224444A1/en
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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

Abstract

The embodiment of the invention provides a data processing method, a device, equipment and a computer storage medium, wherein the method comprises the following steps: acquiring a green wave band road section to be processed; determining the passing time of the vehicle passing through the adjacent intersections in the green wave band road section within a preset time period; and controlling the phase difference between the signal lamps on the green wave band road section according to the passing time. The method comprises the steps of obtaining a green wave band road section to be processed, determining the passing time of a vehicle passing through adjacent intersections in the green wave band road section, and controlling the phase difference between signal lamps on the green wave band road section according to the passing time, so that green wave coordination control on the green wave band road section is realized, and data support is provided for selection of the set range and time period of the green wave band, so that the application effect of the green wave band is ensured, the application stability of the green wave band is improved, and the stability and reliability of the method are further improved.

Description

Data processing method, device and equipment and computer storage medium
Technical Field
The present invention relates to the field of internet technologies, and in particular, to a data processing method, apparatus, device, and computer storage medium.
Background
In the technical field of traffic, green wave bands are a group of continuous signal lamp intersections, and the purpose of setting the green wave bands is to enable vehicles to stop as few as possible in the coordination direction of the green wave bands, so that the running efficiency of roads is improved, and the driving experience is improved. The existing application and optimization of the green band are generally implemented according to human experience, that is, the setting range and the time period of the green band are defined by the human experience, and a fixed pace is set manually for the defined green band road section. However, the application of the green wave band is realized through artificial experience, the randomness of traffic management is large, and the green wave coordination effect and stability are poor.
Disclosure of Invention
Embodiments of the present invention provide a data processing method, apparatus, device, and computer storage medium, which can ensure a use effect of green wave adjustment and improve stability of green wave band application.
In a first aspect, an embodiment of the present invention provides a data processing method, including:
acquiring a green wave band road section to be processed;
determining the passing time of the vehicle passing through the adjacent intersections in the green wave band road section within a preset time period;
and controlling the phase difference between the signal lamps on the green wave band road section according to the passing time.
In a second aspect, an embodiment of the present invention provides an apparatus for processing data, including:
the acquisition module is used for acquiring a green wave band road section to be processed;
the determining module is used for determining the passing time of the vehicle passing through the adjacent intersections in the green wave band road section within a preset time period;
and the processing module is used for controlling the phase difference between the signal lamps on the green wave band road section according to the passing time.
In a third aspect, an embodiment of the present invention provides an electronic device, including: a memory, a processor; wherein the memory is configured to store one or more computer instructions, wherein the one or more computer instructions, when executed by the processor, implement a method of processing data according to the first aspect.
In a fourth aspect, an embodiment of the present invention provides a computer storage medium for storing a computer program, where the computer program is used to make a computer implement the data processing method in the first aspect when executed.
The method comprises the steps of obtaining a green wave band road section to be processed, determining the passing time of a vehicle passing through adjacent intersections in the green wave band road section, and controlling the phase difference between signal lamps on the green wave band road section according to the passing time, so that green wave coordination control on the green wave band road section is realized, and data support is provided on selection of a green wave band set range and a green wave band time period, so that the application effect of the green wave band is ensured, the stability of green wave band application is improved, the stability and the reliability of the method are further improved, and the method is favorable for popularization and application in the market.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the embodiments or the description of the prior art will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and other drawings can be obtained by those skilled in the art without creative efforts.
Fig. 1 is a flowchart of a data processing method according to an embodiment of the present invention;
fig. 2 is a flowchart of acquiring a green band road segment to be processed according to an embodiment of the present invention;
FIG. 3 is a flowchart of obtaining a plurality of green band candidate road segments according to an embodiment of the present invention;
fig. 4 is a flowchart for determining a plurality of green band candidate road segments in all road segments according to the vehicle track information according to the embodiment of the invention;
fig. 5 is a flowchart for determining the green band road segment in a plurality of green band candidate road segments according to the inter-intersection distance and the work cycle according to the embodiment of the present invention;
FIG. 6 is a flow chart of determining a transit time for a vehicle to pass between adjacent intersections in the green band segment according to an embodiment of the present invention;
fig. 7 is a first flowchart of controlling phase differences between traffic lights on the green band road segment according to the transit time according to the embodiment of the present invention;
fig. 8 is a second flowchart of controlling phase differences between traffic lights on the green band road segment according to the transit time according to the embodiment of the present invention;
fig. 9 is a schematic diagram of controlling the phase difference between the traffic lights on the green band section according to the transit time and the queuing length according to the embodiment of the present invention;
fig. 10 is a schematic diagram of controlling the phase difference between the signal lights on the green band section according to the transit time and the clear time provided by the embodiment of the present invention;
FIG. 11 is a flowchart of a data processing method according to an embodiment of the present invention;
fig. 12 is a schematic structural diagram of a data processing apparatus according to an embodiment of the present invention;
fig. 13 is a schematic structural diagram of an electronic device corresponding to the data processing apparatus in the embodiment shown in fig. 12.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. 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 invention.
The terminology used in the embodiments of the invention is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. As used in the examples of the present invention and the appended claims, the singular forms "a", "an", and "the" are intended to include the plural forms as well, and "a" and "an" generally include at least two, but do not exclude at least one, unless the context clearly dictates otherwise.
It should be understood that the term "and/or" as used herein is merely one type of association that describes an associated object, meaning that three relationships may exist, e.g., a and/or B may mean: a exists alone, A and B exist simultaneously, and B exists alone. In addition, the character "/" herein generally indicates that the former and latter related objects are in an "or" relationship.
The words "if", as used herein, may be interpreted as "at … …" or "at … …" or "in response to a determination" or "in response to a detection", depending on the context. Similarly, the phrases "if determined" or "if detected (a stated condition or event)" may be interpreted as "when determined" or "in response to a determination" or "when detected (a stated condition or event)" or "in response to a detection (a stated condition or event)", depending on the context.
It is also noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a good or system that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such good or system. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a commodity or system that includes the element.
In addition, the sequence of steps in each method embodiment described below is only an example and is not strictly limited.
In order to facilitate understanding of the technical solution of the present embodiment, the following briefly describes the prior art: the general process of the existing green band application and optimization technology is that the range and time period of the green band road section are established firstly, and the range and time period of the green band road section are generally established according to human experience; and then, in the range and the time period of the set green wave band road section, performing green wave regulation operation on the green wave band road section according to the artificial experience level. However, such an approach has the following drawbacks: lack of data support in the selection of the range and time period for which the green band is set up, depending on the level of experience of the particular optimizer, the effectiveness and stability of the green wave is poor; secondly, when green wave adjustment is carried out, manually set adjustment parameters are adopted, so that the adjustment randomness is large, for example: the speed matching information of a certain path or a certain green wave band is manually set, however, the situation that the whole green wave band is matched with one speed is easy to occur, and the speed is different from the actual running speed, so that the green wave coordination effect is reduced.
Fig. 1 is a flowchart of a data processing method according to an embodiment of the present invention; referring to fig. 1, in order to overcome the above-mentioned drawbacks, the present embodiment provides a data processing method, and the execution subject of the data processing method is a processing device, and it is understood that the processing device can be implemented as software, or a combination of software and hardware. Specifically, the method may include:
s1: and acquiring a green wave band road section to be processed.
The green wave band road section refers to a road section participating in green wave adjustment, and on a traffic route of the road section, after the speed of the road section is specified, a signal control machine can be required to correspondingly adjust the starting time of green lights of each road junction where a traffic flow passes on the road section according to the distance of the road section, so as to ensure that the traffic flow just meets the green lights when reaching each road junction. It will be appreciated that green band segments may be applied in a certain traffic direction, for example: a link in the east-west direction or a link in the north-south direction, and when the green-band link coordination technique is applied to one direction, it is necessary to sacrifice (or ignore) the traffic-flow adjustment operation in the other direction. Such as: in the case of one intersection, when green wave adjustment is performed on a link in the east-west direction, green wave adjustment cannot be performed on a link in the north-south direction.
In addition, the embodiment does not limit the specific acquisition mode of the green band road segment to be processed, and those skilled in the art may select different modes according to specific design requirements, for example: all road sections in the area to be processed can be determined first, and the road section with the green wave adjustment is determined in all the road sections, so that the green wave band road section can be acquired. Of course, those skilled in the art may also use other methods to acquire the green band segment, as long as the stability and reliability of the acquisition of the green band segment to be processed can be ensured, which is not described herein again.
S2: and determining the passing time of the vehicle passing through the adjacent intersections in the green wave band road section within a preset time period.
The preset time period is preset, the specific time granularity is not limited in this embodiment, and a person skilled in the art can arbitrarily set the time period according to specific application requirements and design requirements, for example: the preset time period may be 0.5h, 1h, 1.5h or 2h, etc., and it should be noted that if the preset time period is relatively short, for a green-wave-band road segment, the traffic flow is easily unstable due to too frequent signal adjustment; therefore, in order to improve the stability of traffic regulation, the preset time period is preferably greater than or equal to 0.5h, so that not only the effect of traffic regulation on the green-wave-band road section can be ensured, but also the stability of traffic regulation can be ensured.
In addition, in this embodiment, a specific implementation manner of determining the passing time of the vehicle passing through between adjacent intersections in the green band road section is not limited, and a person skilled in the art may set the passing time according to a specific design requirement, and preferably, as shown in fig. 6, in the present embodiment, determining the passing time of the vehicle passing through between adjacent intersections in the green band road section within a preset time period may include:
s21: and acquiring the passing speed of the vehicle passing through the adjacent intersections in the green wave band road section within a preset time period.
S22: and determining the passing time of the vehicle passing through the adjacent intersections in the green wave band road section according to the passing speed and the distance between the adjacent intersections.
The green band road section may include one or more adjacent intersections, and the adjacent intersections may include an upstream intersection and a downstream intersection located at a certain road section in the green band road section, it may be understood that an upstream traffic speed of the vehicle passing through the upstream intersection and a downstream traffic speed of the vehicle passing through the downstream intersection may be the same or different, and in order to ensure accurate reliability of determination of a traffic time of the vehicle passing through adjacent intersections in the green band road section, a traffic speed of the vehicle passing through adjacent intersections in the green band road section may be obtained, and the traffic speed may be determined according to an upstream traffic speed of the vehicle passing through the upstream intersection and a downstream traffic speed of the vehicle passing through the downstream intersection, for example: the average of the upstream traffic speed and the downstream traffic speed may be determined as the traffic speed of the vehicle passing between adjacent intersections. After the passing speed is obtained, the distance between adjacent intersections can be obtained, and the passing time of the vehicle passing through the adjacent intersections in the green wave band road section is determined according to the ratio of the distance between the intersections to the passing speed, so that the accuracy and the reliability of the determination of the passing time are effectively ensured.
Of course, those skilled in the art may also use other manners to obtain the passing time of the vehicle passing through the adjacent intersections in the green band road section, as long as the accurate reliability of the determination of the passing time of the vehicle passing through the adjacent intersections in the green band road section can be ensured, and details are not described herein again.
S3: and controlling the phase difference between the signal lights on the green band road section according to the passing time.
The phase difference between the signal lights refers to a time difference relationship between two signal lights (generally, two signal lights at adjacent intersections), and is generally expressed by a time difference between the start times of the main phases of the two signal lights. After the transit time is acquired, the phase difference between the signal lights on the green band road section can be controlled according to the transit time, and specifically, an achievable mode is as follows: referring to fig. 7, the controlling of the phase difference between the signal lights on the green band section according to the transit time in the present embodiment may include:
s31: phase parameters for controlling the traffic lights on the green band route are determined from the transit time.
S32: and controlling the phase difference between the signal lamps on the green band road section according to the phase parameters.
Specifically, after the transit time is acquired, a phase parameter for controlling the signal lamps on the green band road section may be determined by using a preset correspondence between the transit time and the phase parameter, and after the phase parameter is acquired, the phase difference between the signal lamps may be controlled according to the phase parameter. For example, when the acquired passing time of the vehicle passing through the adjacent intersections in the green band section is 20s, the phase parameter for controlling the signal lights on the green band section can be determined to be 30 degrees by the passing time 20s, so that the phase difference between the signal lights is controlled according to the phase parameter of 30 degrees, for example: the phase difference between the signal lamps of the adjacent intersections can be controlled to be 30 degrees, so that the vehicles can pass through the green lamps when passing through the adjacent intersections, and the passing speed and efficiency of the vehicles are improved.
When a vehicle passes through an upstream intersection of an adjacent intersection and a queued vehicle is found at a downstream intersection, in order to ensure that the vehicle can pass through the downstream intersection of the adjacent intersection without stopping and queuing as much as possible, the emptying time required for the queued vehicle to pass through the downstream intersection needs to be judged, and then the phase difference between signal lamps on a green band road section is controlled according to the emptying time and the passing time. Specifically, in another way, referring to fig. 8, the controlling of the phase difference between the signal lights on the green band section according to the transit time in the embodiment may include:
s33: whether an unvisited vehicle exists at an intersection on a green-wave-band road section is detected.
Specifically, GPS data corresponding to a vehicle located on a green-band road segment may be acquired, and whether there is an unviewed vehicle at an intersection located on the green-band road segment may be detected by the GPS data, for example: when the acquired multiple pieces of GPS data are dense and the GPS position data is not changed after a preset time period (within 3s or 5 s), it can be determined that the vehicles which do not pass through the intersection exist. Of course, other ways to detect whether there is an impassable vehicle at the intersection may be used by those skilled in the art, such as: whether vehicles which do not pass through exist at the intersection or not is detected in an image recognition mode, so long as the accuracy and reliability of the detection result can be guaranteed, and the details are not repeated.
S34: and if so, acquiring the queuing length of the vehicle which does not pass.
When the detection result indicates that the passing vehicle exists at the intersection, the queuing length of the passing vehicle may be obtained, specifically, the GPS data corresponding to the passing vehicle may be obtained, and the queuing length of the passing vehicle is determined by the GPS data, for example: and acquiring the first GPS data corresponding to the first vehicle positioned in the queuing length and the last GPS data corresponding to the last vehicle positioned in the queuing length through the GPS data corresponding to the plurality of vehicles, and estimating the queuing length of the vehicles which do not pass through according to the first GPS data and the last GPS data.
It is understood that those skilled in the art may also use other manners to obtain the queuing length of the vehicle that has failed, as long as the accuracy of obtaining the queuing length can be ensured, and details are not described herein.
S35: and controlling the phase difference between the signal lights on the green wave band road section according to the passing time and the queuing length.
After the transit time and the queuing length are obtained, the transit time and the queuing length may be analyzed, and the phase difference between the signal lights is controlled according to the analysis result, specifically, as shown in fig. 9, the controlling the phase difference between the signal lights on the green band road section according to the transit time and the queuing length in this embodiment may include:
s351: and (4) estimating the emptying time required by the vehicles in the queuing length to pass through the intersection according to the queuing length.
Specifically, after the queuing length is obtained, the number of the vehicles which do not pass through the queuing length can be estimated according to the preset average parking length of the vehicles, the unit vehicle passing time required by each vehicle to pass through the intersection is estimated, the emptying time required by the vehicles which pass through the intersection can be estimated according to the number of the vehicles which do not pass through the intersection and the unit vehicle passing time, and the emptying time is equal to the product of the number of the vehicles which do not pass through the intersection and the unit vehicle passing time. For example, the queuing length is 30 meters, the parking average length of each preset vehicle amount is 7 meters, the number of vehicles which do not pass through the queuing length can be estimated to be 30/7-4 according to the queuing length and the parking average length, and assuming that the unit vehicle passing time required by each vehicle to pass through the intersection is 5s, the emptying time required by the vehicle which is located in the queuing length to pass through the intersection is 4-5 s-20 s.
S352: and controlling the phase difference between the signal lights on the green band road section according to the passing time and the emptying time.
Specifically, as shown in fig. 10, the controlling of the phase difference between the signal lights on the green band section according to the transit time and the clear time in the present embodiment may include:
s3521: and determining phase advance parameters of the signal lamps on the green wave band road section according to the emptying time.
Since the clearing time is the time required by the vehicle within the queuing length to pass through the intersection, in order to ensure that the target vehicle can pass through the intersection without stopping or queuing when reaching the intersection, the phase advance parameter for controlling the signal lamp on the green band road section needs to be determined according to the clearing time. For example: if the emptying time is 20s, in order to ensure that the target vehicle can pass through the intersection without stopping or queuing when arriving at the intersection, the green light phase of the signal lamp needs to be controlled to advance by 20s according to the emptying time to display, so that the vehicle which is not passed through in the queuing length is emptied, and the target vehicle can directly pass through the intersection when arriving at the intersection.
S3522: phase parameters for controlling the traffic lights on the green band route are determined from the transit time.
The specific implementation manner and implementation effect in this embodiment are the same as the specific implementation manner and implementation effect in step S31 in the foregoing embodiment, and the above statements may be specifically referred to, and are not described herein again.
S3523: and determining the difference value of the phase parameter and the phase advance parameter as a target phase parameter.
S3524: and controlling the phase difference between the signal lamps on the green wave band road section according to the target phase parameter.
The target phase parameters are obtained by analyzing the passing time and the emptying time, wherein the passing time is the normal time required by the vehicle to pass through the intersection, and the emptying time is the delay time when the vehicle passes through the intersection, so that the vehicle can pass through the intersection without stopping and queuing as much as possible. For example, when the acquired vehicle passes through the adjacent intersections in the green band road section for 30s, the passing time 30s may determine that the phase parameter for controlling the traffic lights on the green band road section is 40 degrees, the clearing time is 20s, and the clearing time 20s may determine that the phase advance parameter for controlling the traffic lights on the green band road section is 30 degrees, at this time, the phase parameter may be determined as the target phase parameter by the difference between the phase parameter and the phase advance parameter, that is, the target phase parameter is 10 degrees, so that the phase difference between the traffic lights is controlled according to the target phase parameter of 10 degrees, for example: the phase difference between the signal lamps of the adjacent intersections can be controlled to be 10 degrees, so that the vehicles can pass through the green lamps when passing through the adjacent intersections as much as possible, and the passing speed and efficiency of the vehicles are effectively improved.
It can be understood that when the queuing length is longer, the required emptying time is also longer, at this time, in order to ensure that the vehicles which are not passed in the queuing length are emptied, when the control signal lamp displays in advance, the vehicles which are not passed in the queuing length may fail to be emptied, and at this time, the target vehicle needs to be parked and queued to pass through the intersection; alternatively, it may happen that the emptying of the vehicle has been successful for a certain length of the queue, but the green time of the signal lamp is spent, and the target vehicle still needs to be stopped or the like to pass through the intersection. Therefore, it can be understood that the method in this embodiment may improve the probability of the vehicle passing through the intersection on the green band road section as much as possible, but cannot guarantee that one hundred percent of the vehicle completely passes through.
According to the data processing method provided by the embodiment, the green wave band road section to be processed is obtained, the passing time of the vehicle passing through the adjacent intersections in the green wave band road section is determined, and then the phase difference between the signal lamps on the green wave band road section is controlled according to the passing time, so that green wave coordination control on the green wave band road section is realized, and data support is provided on selection of the range and the time period set up by the green wave band, so that the application effect of the green wave band is ensured, the stability of green wave band application is improved, the stability and the reliability of the method are further improved, and the method is favorable for popularization and application in the market.
Fig. 2 is a flowchart of acquiring a green band road segment to be processed according to an embodiment of the present invention; on the basis of the foregoing embodiment, with reference to fig. 2, in this embodiment, a specific implementation manner of obtaining the green band road segment to be processed is not limited, and a person skilled in the art may set the green band road segment to be processed according to a specific design requirement, and preferably, the obtaining the green band road segment to be processed in this embodiment may include:
s11: a plurality of green band candidate road segments, an inter-intersection distance between adjacent intersections on each green band candidate road segment, and a duty cycle for each signal lamp in the green band candidate road segment are acquired.
The period of the signal lamp refers to the time when the signal lamp goes through each phase and returns to the initial state. While the candidate road segments of the green wave band are at least a part of road segments in all road segments in the preset area, the specific implementation manner for obtaining the multiple candidate road segments of the green wave band is not limited in this embodiment, and those skilled in the art may set the candidate road segments of the green wave band according to specific design requirements, and preferably, referring to fig. 3, the obtaining the multiple candidate road segments of the green wave band in this embodiment may include:
s111: in the preset area, vehicle track information passing through all road sections is acquired.
The preset area may be preset, the size of the preset area is not limited in this embodiment, and a person skilled in the art may set the preset area according to a specific application requirement, for example: the preset area may be set as a city, a town, an area, etc. The predetermined area includes a plurality of road segments, and the green band road segment is at least a portion of the plurality of road segments. Specifically, the candidate road segments in the green band may be determined first, and the candidate road segments in the green band are road segments with more vehicles, so that vehicle track information passing through all road segments may be acquired, and specifically, the vehicle track information passing through all road segments in the preset area may be acquired through the GPS data.
S112: a plurality of green band candidate road segments are determined among all road segments according to the vehicle trajectory information.
After the vehicle track information is acquired, a plurality of green band candidate road sections can be determined in all road sections through the vehicle track information; specifically, as shown in fig. 4, the determining a plurality of green band candidate road segments in all road segments according to the vehicle trajectory information in the present embodiment may include:
s1121: the number of pieces of vehicle trajectory information located on each road section is acquired.
S1122: and when the number of the vehicle track information is greater than or equal to a preset number threshold, determining the road section where the vehicle track information is located as a green wave band candidate road section.
Specifically, the number of pieces of vehicle track information passing through each road section may be counted, the number of pieces of vehicle track information may be compared with a preset number threshold, and if the number of pieces of vehicle track information is greater than or equal to the number threshold, it is determined that the road section where the number of pieces of vehicle track information is located is a road section with many vehicles, and then the road section where the pieces of vehicle track information are located may be determined as the green band candidate road section.
Of course, those skilled in the art may also use other ways to obtain the green band candidate segment, such as: the method comprises the steps of obtaining the number of vehicle track information on each road section, sorting all road sections according to the number of the vehicle track information, and sequentially selecting green wave band candidate road sections from high to low in all the sorted road sections according to the number of preset green wave band candidate road sections, so that the green wave band candidate road sections can be obtained.
S12: and determining a green wave band road section in the plurality of green wave band candidate road sections according to the distance between the intersections and the work cycle.
After the green band candidate road sections are acquired, not all the green band candidate road sections meet the green wave adjustment requirement, and therefore, the green band road sections need to be determined in the plurality of green band candidate road sections according to the intersection distance and the work cycle of the signal lamp. Referring to fig. 5, in the present embodiment, determining a green band segment among a plurality of green band candidate segments according to the inter-intersection distance and the work cycle may include:
s121: it is detected whether there is a correlation between the duty cycles of different signal lights on the green band road segment.
Specifically, detecting whether the duty cycles of the different signal lights on the green band road section are associated may include:
s1211: a first duty cycle of a first signal light and a second duty cycle of a second signal light on a green band road segment are acquired.
S1212: and if the first working period is the same as the second working period or the first working period and the second working period are preset multiples, determining that the working period of the first signal lamp on the green band road section is associated with the working period of the second signal lamp.
S1213: and if the first working period is different from the second working period and the first working period and the second working period are not preset multiples, determining that the working period of the first signal lamp and the working period of the second signal lamp on the green band road section are irrelevant.
The first signal lamp and the second signal lamp can be two signal lamps of any adjacent crossing, and the work cycle of the first signal lamp and the work cycle of the second signal lamp can be the same or different. When a first duty cycle of the first signal lamp is the same as a second duty cycle of the second signal lamp, then an association between the duty cycles of the first signal lamp and the second signal lamp on the green band road segment may be determined; or, when the first work period of the first signal lamp and the second work period of the second signal lamp are in a multiple relation, the association between the work periods of the first signal lamp and the second signal lamp on the green band road section can be determined; for example, when the first duty cycle of the first signal lamp is 50s and the second duty cycle of the second signal lamp is 100s, the association between the duty cycles of the first signal lamp and the second signal lamp can also be determined.
S122: and determining a green wave band road section in the plurality of green wave band candidate road sections according to the detection result and the distance between intersections.
Specifically, determining a green band segment among the plurality of green band candidate segments according to the detection result and the distance between intersections may include:
s1221: and if the distance between the intersections is smaller than or equal to the preset distance threshold value and the detection result is that the work periods of different signal lamps on the green wave band road sections are associated, determining the green wave band road sections by using the distance between the intersections and the green wave band candidate road sections corresponding to the detection result.
For example, when the green band candidate segment includes: when the intersection a, the intersection b, the intersection c and the intersection d are in the same height, the preset distance threshold value can be 500 meters, and the work periods corresponding to the intersections are respectively as follows: a working period a, a working period b, a working period c and a working period d; then, the distances between the adjacent intersections are acquired as follows: 300 meters, 100 meters; and detecting whether the work periods between two adjacent intersections are related or not, analyzing and comparing the distance between the intersections with a distance threshold to know that the distance between the intersections between the two adjacent intersections is less than or equal to a preset distance threshold, analyzing and identifying the work periods corresponding to the intersections to know that the work periods between the two adjacent intersections are related, and determining that the green wave band candidate road section is the green wave band road section to be processed.
S1222: if the distance between the intersections is larger than a preset distance threshold, segmenting the green wave band candidate road section corresponding to the distance between the intersections according to the distance between the intersections, and determining the segmented green wave band candidate road section as a green wave band road section.
For example, when the green band candidate segment includes: when the intersection a, the intersection b, the intersection c and the intersection d are in the same height, the preset distance threshold value can be 500 meters, and then the distances between adjacent intersections are respectively obtained as follows: the distance between intersections is smaller than a preset distance threshold, the distance between intersections between intersection a and intersection b is smaller than a preset distance threshold, the distance between intersections between intersection c and intersection d is smaller than a preset distance threshold, and the distance between intersections between intersection b and intersection c is larger than a preset distance threshold.
S1223: and if the detection result is that the working cycles of different signal lamps on the green wave band road section are not related, segmenting the green wave band candidate road section according to the detection result, and determining the segmented green wave band candidate road section as the green wave band road section.
For example, when the green band candidate segment includes: when the intersection a, the intersection b, the intersection c, the intersection d and the intersection e are in the following working periods respectively: 50s, 100s, 50s, 80s, and 80 s; and then detecting whether the working cycles between two adjacent intersections are correlated, and analyzing and identifying the working cycles corresponding to the intersections to know that the working cycle of a signal lamp at the intersection a is correlated with the working cycle of a signal lamp at the intersection b, the working cycle of the signal lamp at the intersection b is correlated with the working cycle of a signal lamp at the intersection c, the working cycle of the signal lamp at the intersection c is uncorrelated with the working cycle of a signal lamp at the intersection d, and the working cycle of the signal lamp at the intersection d is correlated with the working cycle of the signal lamp at the intersection e.
By the mode, different green wave band road sections can be determined according to different road section conditions, accuracy of determining the green wave band road sections is effectively guaranteed, stability and reliability of use of the method are further improved, and popularization and application of markets are facilitated.
In specific application, referring to fig. 11, the present application embodiment provides a data processing method, which can determine a green band road segment according to the working cycles of different signal lamps on the road segment and the distance between intersections between adjacent intersections when setting the green band road segment and time period, and set green bands on the intersection sequence, so as to provide high-quality traffic service for more people; in addition, when the speed is set in the road section, the speed which is more consistent with actual operation can be set in different road sections and different time periods, so that the passing time of the vehicle passing through the adjacent intersection can be accurately obtained, and the traffic flow can be conveniently adjusted and controlled. Specifically, the method may include:
step 1: in a preset time period (which may be 1h or 1.5h, etc.) and a preset area (which may be a city), trajectory data of vehicles passing through all road segments is acquired through GPS data.
In this embodiment, the preset time period for acquiring the trajectory data may be divided according to different time periods, and the time granularity is not limited, and preferably, the preset time period may be one hour or half an hour. In addition, the trajectory data of the vehicles on all road sections acquired through the GPS data is data information obtained through sampling the motion process of one or more moving objects in a space-time environment, and may include at least one of the following: sampling point position, sampling time, speed and the like, and the data information of the sampling points forms track data according to the sampling sequence.
step 2: and excavating the green wave band candidate road sections on all road sections through the track data of the vehicle.
After the track data of the vehicle is acquired, the track data can be mapped onto roads, and each track can be regarded as a road sequence { l } 1 ，l 2 ，...，l n In which l 1 ，l 2 ，...，l n Respectively is a crossing sequence passed by each track; then, a road section through which a plurality of tracks pass in a period of time can be found out through the track data, the road section is a green wave band candidate road section, namely, the track data in a period of time is subjected to clustering processing to find out a high-frequency intersection sequence meeting a certain length, and the certain length in the embodiment can be the number of intersections in the intersection sequence or the sum of the lengths of the intersection sequence in one direction of passing through the road.
For example: the road sequence corresponding to the existing track 1 is { l } 1 ，l 2 ，l 4 ，l 5 ，l 6 The road sequence corresponding to the track 2 is { l } 1 ，l 2 ，l 4 ，l 7 ，l 6 The road sequence corresponding to the track 3 is { l } 1 ，l 2 ，l 4 ，l 7 ，l 8 Then calculate the longest shared subsequence between two traces (subsequence refers to intersection sequence), for example: longest sharing subsequence formed by track 1 and track 2 and longest sharing subsequence formed by track 1 and track 3Columns are all { l 1 ，l 2 ，l 4 The longest sharing subsequence formed by the track 2 and the track 3 is { l } 1 ，l 2 ，l 4 ，l 7 Then, frequency statistics are carried out on each obtained subsequence, namely the longest shared subsequence { l } 1 ，l 2 ，l 4 The frequency is 3 times, and the longest shared subsequence is { l } 1 ，l 2 ，l 4 ，l 7 And (4) screening the subsequences exceeding a preset frequency threshold and an intersection number threshold according to the set frequency and the intersection number threshold, and acquiring the green wave band candidate road sections in the corresponding time periods.
step 3: and acquiring the distance between intersections between adjacent intersections on each green wave band candidate road section and the work cycle of each signal lamp in the green wave band candidate road section.
The distance between the adjacent intersections and the working period of each signal lamp can be stored in a preset database (such as a traffic database), and the distance between the adjacent intersections and the working period of each signal lamp can be acquired by accessing the database. Specifically, an information acquisition request may be sent to the database, and after receiving the information acquisition request, the database may feed back the inter-intersection distance and the duty cycle of each signal lamp to the processing device according to the information acquisition request, so that the inter-intersection distance between adjacent intersections on each green band candidate road section and the duty cycle of each signal lamp in each green band candidate road section may be acquired.
step 4: after the work cycle and the inter-intersection distance of each signal lamp are obtained, the green-wave-band intersection topology can be carried out in the green-wave-band candidate road sections according to the work cycle and the inter-intersection distance so as to determine the green-wave-band road sections.
The specific green band road segment determination rule is as follows:
a. the distance between intersections is analyzed and compared with a preset distance threshold, when the distance between intersections is larger than the distance threshold, the road section corresponding to the distance between the intersections is the road section with the overlarge distance between the intersections, then the road section with the overlarge distance between the intersections is segmented, namely the candidate road section of the green wave band is segmented into different road sections of the green wave band, the rule can be nested for use, and the specific distance threshold can be set according to the actual condition.
b. Whether the work periods of different signal lamps on the green wave band road section are related or not is detected, if the work periods of adjacent intersections are not related, the difference of the work periods of the adjacent intersections is overlarge, and at the moment, the work periods of the adjacent intersections can be divided into different green wave bands.
After the relationship between the distance between the road junctions and the working period is analyzed and processed, the road junction sequence of each green wave band road section, the association of each green wave band road section and the proximity of the distance between the road junctions can be obtained. It is understood that other factors such as road conditions may also be introduced in a particular application, and are not limited herein.
step 5: after the green band road section is acquired, the passing time of the vehicle passing through the adjacent intersections in the green band road section can be determined, whether the vehicles which do not pass through exist at the intersections on the green band road section is detected, and the phase difference between the signal lamps on the green band road section is controlled according to the passing time and the queuing length.
When the passing time of the vehicle passing through the adjacent intersections in the green wave band road section is determined, the vehicle can be obtained by mining according to the road section speed, namely different running speeds exist on different road sections, the passing speed of the vehicle passing through the adjacent intersections in the green wave band road section can be obtained by analyzing and processing the different running speeds on the different road sections, and the passing time of the vehicle passing through the adjacent intersections in the green wave band road section is determined according to the passing speed and the distance between the adjacent intersections.
In addition, when the upstream traffic flow reaches the downstream intersection, in addition to the fact that the upstream traffic flow is expected to touch the green light, the queued vehicles at the downstream intersection are expected to be emptied at the arrival time, otherwise the vehicles still need to stop for waiting and cannot pass through the green light without stopping. Therefore, it is necessary to perform queue length mining on the green band road section, that is, to detect whether there is an un-passing vehicle at a road junction on the green band road section; when the vehicle is not passing, the queuing length of the vehicle can be estimated, and specifically, when the queuing length is estimated, the queuing length can be obtained by using the characteristics of the GPS track data, for example: and calculating the parking positions of all the tracks passing through the intersections within one hour to obtain a parking position set, and determining the queuing length of the vehicles which do not pass through the parking position set. After the queuing length is acquired, the phase difference between the signal lamps can be controlled according to the passing time and the queuing length, so that when a passing vehicle exists, a green lamp can be turned on in advance to empty the passing vehicle in the queuing length. Therefore, accurate estimation of the queuing length is achieved, more accurate green light can be generated to start emptying queuing in advance, and the use effect of green wave bands is effectively improved.
step 6: and optimally adjusting the green wave band road section.
Through the process, the setting position of the green band road section, the time-sharing traffic speed and the queuing length of the intersection required by green band optimization can be accurately obtained, the phase difference between the signal lamps in the green band road section can be optimized through the parameters based on the preset algorithm, the flexible green band optimization algorithm can be selected, and no constraint is made here.
It should be noted that the implementation process in this embodiment may be a real-time calculation process or an offline calculation process, and it is described herein that, when the accessed data is real-time data, the implementation process may be a real-time calculation process, and the implementation process may have adaptability to real-time optimization, and may automatically adapt to a real-time optimization scenario.
The data processing method provided by the application embodiment is a data-driven automatic green wave band optimization method based on data mining, and particularly, green wave band mining based on track data provides data basis for green wave band establishment, so that intersection sets and time periods of green wave bands can be automatically mined, the intersection sets of the green wave bands are changed along with different time periods, and speed mining is carried out among intersections in a branch path section and a time period, so that the defect that fixed speed allocation is artificially set in the prior art is overcome, the green wave band timing optimization mainly adjusts phase differences of intersection signals, vehicles just pass through green lights when going from an upstream intersection to a downstream intersection, and main parameters of the phase difference optimization are the crossing time and the travelling direction queuing length among intersections, so that the green wave bands can better adapt to actual traffic, rather than having the driver adapt to the green band; and the trace data is used for mining residual queues on green wave bands and intersections, so that data support is provided for early starting, emptying and queuing of green lamps, the use effect of the green wave bands is effectively ensured, and the use stability of the green wave bands is improved.
Fig. 12 is a schematic structural diagram of a data processing apparatus according to an embodiment of the present invention; referring to fig. 12, the present embodiment provides a data processing apparatus, which can execute the data processing method corresponding to fig. 1. Specifically, the processing device may include:
the acquisition module 11 is configured to acquire a green band road segment to be processed;
the determining module 12 is configured to determine, within a preset time period, a passing time of the vehicle passing through an adjacent intersection in the green band road section;
and the processing module 13 is used for controlling the phase difference between the signal lights on the green band road section according to the passing time.
Optionally, when the obtaining module 11 obtains the green band road segment to be processed, the obtaining module 11 is configured to perform: acquiring a plurality of green wave band candidate road sections, aiming at the distance between adjacent intersections on each green wave band candidate road section and aiming at the work cycle of each signal lamp in the green wave band candidate road section; and determining a green wave band road section in the plurality of green wave band candidate road sections according to the distance between the intersections and the work cycle.
Alternatively, when the obtaining module 11 obtains a plurality of green band candidate links, the obtaining module 11 is configured to perform: in a preset area, acquiring vehicle track information of all road sections; a plurality of green band candidate road segments are determined among all road segments according to the vehicle trajectory information.
Alternatively, when the acquisition module 11 determines a plurality of green band candidate road segments in all road segments according to the vehicle trajectory information, the acquisition module 11 is configured to perform: acquiring the quantity of vehicle track information positioned on each road section; and when the number of the vehicle track information is greater than or equal to a preset number threshold, determining the road section where the vehicle track information is located as a green wave band candidate road section.
Alternatively, when the obtaining module 11 determines a green band road segment among the plurality of green band candidate road segments according to the inter-intersection distance and the duty cycle, the obtaining module 11 is configured to perform: detecting whether work cycles of different signal lamps on a green wave band road section are related or not; and determining a green wave band road section in the plurality of green wave band candidate road sections according to the detection result and the distance between intersections.
Optionally, when the obtaining module 11 detects whether there is a correlation between the duty cycles of different signal lights on the green-band road segment, the obtaining module 11 is configured to perform: acquiring a first work cycle of a first signal lamp and a second work cycle of a second signal lamp on a green band road section; if the first working period is the same as the second working period or the first working period and the second working period are preset multiples, determining that the working period of the first signal lamp on the green band road section is associated with the working period of the second signal lamp; or if the first working period is different from the second working period and the first working period and the second working period are not preset multiples, determining that the working period of the first signal lamp on the green band road section is not related to the working period of the second signal lamp.
Alternatively, when the obtaining module 11 determines a green band road segment from the plurality of green band candidate road segments according to the detection result and the inter-intersection distance, the obtaining module 11 is configured to perform: if the distance between the intersections is smaller than or equal to a preset distance threshold value and the detection result is that the work periods of different signal lamps on the green wave band road sections are correlated, determining the green wave band road sections by the distance between the intersections and the green wave band candidate road sections corresponding to the detection result; or if the distance between intersections is greater than a preset distance threshold, segmenting the green wave band candidate road section corresponding to the distance between intersections according to the distance between intersections, and determining the segmented green wave band candidate road section as a green wave band road section; or if the detection result is that the working cycles of different signal lamps on the green wave band road section are not related, segmenting the green wave band candidate road section according to the detection result, and determining the segmented green wave band candidate road section as the green wave band road section.
Alternatively, when the determination module 12 determines the passing time of the vehicle passing through the adjacent intersections in the green band road section within the preset time period, the determination module 12 may be configured to perform: acquiring the passing speed of a vehicle passing through adjacent intersections in a green wave band road section within a preset time period; and determining the passing time of the vehicle passing through the adjacent intersections in the green wave band road section according to the passing speed and the distance between the adjacent intersections.
Optionally, when the processing module 13 controls the phase difference between the signal lights on the green-band road segment according to the transit time, the processing module 13 is configured to perform: determining phase parameters for controlling signal lamps on the green wave band road section according to the passing time; and controlling the phase difference between the signal lamps on the green band road section according to the phase parameters.
Optionally, when the processing module 13 controls the phase difference between the signal lights on the green-band road segment according to the transit time, the processing module 13 is configured to perform: detecting whether an unvisited vehicle exists at a road junction on the green wave band road section; if yes, acquiring the queuing length of the vehicle which does not pass; and controlling the phase difference between the signal lights on the green wave band road section according to the passing time and the queuing length.
Optionally, when the processing module 13 controls the phase difference between the signal lights on the green band road section according to the transit time and the queue length, the processing module 13 is configured to perform: estimating the emptying time required by the vehicles in the queuing length to pass through the intersection according to the queuing length; and controlling the phase difference between the signal lights on the green band road section according to the passing time and the emptying time.
Optionally, when the processing module 13 controls the phase difference between the signal lights on the green-band road segment according to the transit time and the clearing time, the processing module 13 is configured to perform: determining phase advance parameters of signal lamps on the green wave band road section according to the emptying time; determining phase parameters for controlling signal lamps on the green wave band road section according to the passing time; determining the difference value of the phase parameter and the phase advance parameter as a target phase parameter; and controlling the phase difference between the signal lamps on the green wave band road section according to the target phase parameter.
The apparatus shown in fig. 12 can perform the method of the embodiment shown in fig. 1-11, and the detailed description of this embodiment can refer to the related description of the embodiment shown in fig. 1-11. The implementation process and technical effect of the technical solution refer to the descriptions in the embodiments shown in fig. 1 to fig. 11, and are not described herein again.
In one possible design, the structure of the data processing apparatus shown in fig. 12 may be implemented as an electronic device, which may be a mobile phone, a tablet computer, a server, or other devices. As shown in fig. 13, the electronic device may include: a processor 21 and a memory 22. Wherein the memory 22 is used for storing a program for supporting the electronic device to execute the processing method of the data provided in the embodiments shown in fig. 1-11, and the processor 21 is configured for executing the program stored in the memory 22.
The program comprises one or more computer instructions which, when executed by the processor 21, are capable of performing the steps of:
acquiring a green wave band road section to be processed;
determining the passing time of the vehicle passing through the adjacent intersections in the green wave band road section within a preset time period;
and controlling the phase difference between the signal lights on the green band road section according to the passing time.
Optionally, the processor 21 is further configured to perform all or part of the steps in the embodiments of fig. 1-11.
The electronic device may further include a communication interface 23 for communicating with other devices or a communication network.
In addition, an embodiment of the present invention provides a computer storage medium for storing computer software instructions for an electronic device, which includes a program for executing the processing method of the data in the method embodiments shown in fig. 1 to 11.
The above-described embodiments of the apparatus are merely illustrative, and the units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment. One of ordinary skill in the art can understand and implement it without inventive effort.
Through the above description of the embodiments, those skilled in the art will clearly understand that each embodiment can be implemented by adding a necessary general hardware platform, and of course, can also be implemented by a combination of hardware and software. With this understanding in mind, the above-described aspects and portions of the present technology which contribute substantially or in part to the prior art may be embodied in the form of a computer program product, which may be embodied on one or more computer-usable storage media having computer-usable program code embodied therein, including without limitation disk storage, CD-ROM, optical storage, and the like.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
In a typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.
The memory may include forms of volatile memory in a computer readable medium, Random Access Memory (RAM) and/or non-volatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM). Memory is an example of a computer-readable medium.
Computer-readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), Static Random Access Memory (SRAM), Dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), Read Only Memory (ROM), Electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), Digital Versatile Disks (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium, which can be used to store information that can be accessed by a computing device. As defined herein, a computer readable medium does not include a transitory computer readable medium such as a modulated data signal and a carrier wave.
Finally, it should be noted that: the above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.

Claims (12)

1. A method for processing data, comprising:
acquiring a green wave band road section to be processed;
determining the passing time of the vehicle passing through the adjacent intersections in the green wave band road section within a preset time period;
controlling phase differences among signal lamps on the green wave band road section according to the passing time;
acquiring a green band road section to be processed, comprising:
acquiring a plurality of green wave band candidate road sections, aiming at the distance between adjacent intersections on each green wave band candidate road section and the work cycle of each signal lamp in the green wave band candidate road section;
detecting whether work cycles of different signal lamps on the green wave band road section are correlated;
if the distance between the intersections is smaller than or equal to a preset distance threshold value and the detection result is that the work cycles of different signal lamps on the green wave band road section are correlated, determining the green wave band road section by using the distance between the intersections and the green wave band candidate road section corresponding to the detection result; alternatively, the first and second electrodes may be,
if the distance between the intersections is larger than a preset distance threshold, segmenting a green wave band candidate road section corresponding to the distance between the intersections according to the distance between the intersections, and determining the segmented green wave band candidate road section as the green wave band road section; alternatively, the first and second electrodes may be,
if the detection result is that the working cycles of different signal lamps on the green wave band road section are not related, segmenting the green wave band candidate road section according to the detection result, and determining the segmented green wave band candidate road section as the green wave band road section.
2. The method of claim 1, wherein obtaining a plurality of green band candidate road segments comprises:
in a preset area, acquiring vehicle track information of all road sections;
determining a plurality of the green band candidate road segments in all road segments according to the vehicle trajectory information.
3. The method of claim 2, wherein determining a plurality of the green band candidate road segments in all road segments according to the vehicle trajectory information comprises:
acquiring the number of the vehicle track information located on each road section;
and when the number of the vehicle track information is greater than or equal to a preset number threshold, determining the road section where the vehicle track information is located as the green wave band candidate road section.
4. The method of claim 1, wherein detecting whether there is a correlation between duty cycles of different signal lights on the green band segment comprises:
acquiring a first work cycle of a first signal lamp and a second work cycle of a second signal lamp on the green band road section;
if the first working period is the same as the second working period, or the first working period and the second working period are preset multiples, determining that the working period of the first signal lamp on the green band road section is associated with the working period of the second signal lamp; alternatively, the first and second electrodes may be,
and if the first working period is different from the second working period and the first working period and the second working period are not preset multiples, determining that the working period of the first signal lamp on the green band road section is not related to the working period of the second signal lamp.
5. The method of claim 1, wherein determining a transit time for a vehicle to pass between adjacent intersections in the green band segment over a preset time period comprises:
acquiring the passing speed of a vehicle passing through the adjacent intersections in the green wave band road section within a preset time period;
and determining the passing time of the vehicle passing through the adjacent intersections in the green wave band road section according to the passing speed and the distance between the adjacent intersections.
6. The method according to any one of claims 1 to 5, wherein controlling the phase difference between signal lights on the green band section according to the transit time comprises:
determining phase parameters for controlling signal lamps on the green wave band road section according to the passing time;
and controlling the phase difference between the signal lamps on the green wave band road section according to the phase parameters.
7. The method according to any one of claims 1 to 5, wherein controlling the phase difference between signal lights on the green band section according to the transit time comprises:
detecting whether a vehicle which does not pass exists at a road junction on the green wave band road section;
if yes, acquiring the queuing length of the vehicle which does not pass;
and controlling the phase difference between the signal lamps on the green wave band road section according to the passing time and the queuing length.
8. The method of claim 7, wherein controlling phase differences between signal lights on the green band segment as a function of the transit time and the queue length comprises:
pre-estimating the emptying time required by the vehicles in the queuing length to pass through the intersection according to the queuing length;
and controlling the phase difference between the signal lamps on the green wave band road section according to the passing time and the emptying time.
9. The method of claim 8, wherein controlling phase differences between signal lights on the green band segment as a function of the transit time and the clear time comprises:
determining phase advance parameters of signal lamps on the green wave band road section according to the emptying time;
determining phase parameters for controlling signal lamps on the green wave band road section according to the passing time;
determining a difference value between the phase parameter and the phase advance parameter as a target phase parameter;
and controlling the phase difference between the signal lamps on the green wave band road section according to the target phase parameter.
10. An apparatus for processing data, comprising:
the acquisition module is used for acquiring a green wave band road section to be processed;
the determining module is used for determining the passing time of the vehicle passing through the adjacent intersections in the green wave band road section within a preset time period;
the processing module is used for controlling the phase difference between the signal lamps on the green wave band road section according to the passing time;
the acquisition module is used for acquiring a plurality of green wave band candidate road sections, aiming at the distance between adjacent intersections on each green wave band candidate road section and aiming at the work cycle of each signal lamp in the green wave band candidate road section; detecting whether work cycles of different signal lamps on the green wave band road section are correlated; if the distance between the intersections is smaller than or equal to a preset distance threshold value and the detection result indicates that the working cycles of different signal lamps on the green wave band road section are correlated, determining the green wave band road section by using the distance between the intersections and the green wave band candidate road section corresponding to the detection result; or if the distance between the intersections is greater than a preset distance threshold, segmenting the green wave band candidate road section corresponding to the distance between the intersections according to the distance between the intersections, and determining the segmented green wave band candidate road section as the green wave band road section; or if the detection result indicates that the working cycles of different signal lamps on the green wave band road section are not related, segmenting the green wave band candidate road section according to the detection result, and determining the segmented green wave band candidate road section as the green wave band road section.
11. An electronic device, comprising: a memory, a processor; wherein the memory is configured to store one or more computer instructions, wherein the one or more computer instructions, when executed by the processor, implement a method of processing data according to any one of claims 1 to 9.
12. A computer storage medium for storing a computer program that causes a computer to execute a method of processing data according to any one of claims 1 to 9.
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