CN114373310A - Index data processing method and device for vehicle driving road section and electronic equipment - Google Patents
Index data processing method and device for vehicle driving road section and electronic equipment Download PDFInfo
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Abstract
The present disclosure provides a method, an apparatus, a storage medium and an electronic device for processing index data of a vehicle driving road section, wherein the method comprises the following steps: acquiring vehicle driving data of all intersections in a preset road section according to a preset time interval; determining index data of a preset road section within a preset time interval according to vehicle driving data of all intersections; and storing and displaying the index data. According to the method and the device, the index data of the preset road section used for representing the actual traffic condition of the road section in the preset time interval are obtained through acquisition and collaborative analysis of the vehicle driving data of each intersection of the preset road section in the preset time interval, and are visually displayed, so that the traffic condition in the road section is reflected at different angles through all the index data, the richer monitoring requirements of monitoring personnel are met, and meanwhile, more visual monitoring experience is brought to the monitoring personnel.
Description
Technical Field
The present disclosure relates to the field of data processing technologies, and in particular, to a method and an apparatus for processing index data of a vehicle driving road, a storage medium, and an electronic device.
Background
With the construction of road networks and the popularization of vehicles, how to ensure the smooth running of vehicles is important to pay attention to and realize by traffic management departments. In the prior art, an intelligent traffic signal lamp system is an independent system and is a part of an intelligent signal lamp system in the whole region. The intelligent traffic signal machine is installed at the intersection, the underground induction line is buried, the traffic flow is detected in real time, and the traffic flow is automatically sent to the monitoring center, so that the monitoring center can acquire the conditions of the traffic road sections in real time. However, the acquisition of the traffic flow in the prior art cannot meet the requirement of monitoring personnel for visually knowing the actual situation of the traffic section, and is not beneficial for the monitoring personnel to adjust and control the traffic flow or the signal lamp in the traffic section.
Disclosure of Invention
An object of the embodiments of the present disclosure is to provide a method and an apparatus for processing index data of a vehicle driving road section, a storage medium, and an electronic device, so as to solve the problem that the prior art cannot meet the requirement of monitoring personnel for visually knowing the actual condition of a traffic road section, and is not favorable for the monitoring personnel to adjust and control the traffic flow or signal lamps in the traffic road section.
The embodiment of the disclosure adopts the following technical scheme: a method for processing index data of a vehicle driving road section comprises the following steps: acquiring vehicle driving data of all intersections in a preset road section according to a preset time interval, wherein the preset road section at least comprises a first intersection positioned at the starting point of the preset road section and a second intersection positioned at the end point of the preset road section; determining index data of the preset road section within the preset time interval according to the vehicle driving data of all intersections; and storing and displaying the index data.
In some embodiments, the vehicle travel data includes at least: the time when the vehicle passes through each intersection and the traffic flow of each intersection; the index data includes any one of: the traffic flow of the preset road section, the average running speed of vehicles in the preset road section, the saturation of the preset road section, the delay comparison of vehicles passing through the preset road section, the unbalance index of the preset road section and the service level of the preset road section.
In some embodiments, in a case that the indicator data is a traffic flow of the preset road segment, the determining, according to the vehicle driving data of all intersections, indicator data of the preset road segment within the preset time interval includes: and adding the vehicle flow of each intersection in the preset road section, and dividing the sum by the number of the intersections in the preset road section to obtain a calculation result as the vehicle flow of the preset road section.
In some embodiments, in the case that the index data is an average traveling speed of vehicles in the preset road section, the determining the index data of the preset road section within the preset time interval according to the vehicle traveling data of all intersections includes: acquiring the total length of the preset road section; respectively acquiring the actual passing time of each vehicle running through the preset road section, wherein the actual passing time is the time difference between the time when the vehicle passes through the first intersection and the time when the vehicle passes through the second intersection; respectively determining the running speed of each vehicle in the preset road section according to the total length of the preset road section and the actual passing time; and determining the average running speed of the vehicles in the preset road section according to the running speed of each vehicle in the preset road section and the number of all vehicles passing through the preset road section in a preset time interval.
In some embodiments, in the case that the index data is the saturation of the preset road segment, the determining the index data of the preset road segment in the preset time interval according to the vehicle driving data of all intersections includes: and determining the saturation of the preset road section according to the traffic flow of the preset road section and the theoretical traffic volume of the preset road section.
In some embodiments, in the case that the index data is a delayed comparison of a vehicle passing through the preset road segment, the determining the index data of the preset road segment in the preset time interval according to the vehicle driving data of all intersections includes: determining the average value of the actual passing time of all vehicles passing through the preset road section, and recording as the actual travel time; determining the difference value between the actual travel time and the standard travel time of the preset road section as the delay time of the preset road section in the preset time interval; and comparing the delay time of the preset road section in the preset time interval with the delay time of the preset road section in the historical synchronization, and determining the comparison result as the delay comparison of the preset road section.
In some embodiments, in a case that the index data is an imbalance index of the preset road segment, the determining the index data of the preset road segment in the preset time interval according to the vehicle driving data of all intersections includes: determining the oversaturation time ratio of the preset road section in the preset time interval; determining the idle time occupation ratio of the preset road section in the preset time interval; and determining the unbalance index of the preset road section according to the product of the oversaturation time ratio and the free time ratio, wherein the free time ratio is not zero.
In some embodiments, in the case that the index data is the service level of the preset road segment, the determining the index data of the preset road segment in the preset time interval according to the vehicle driving data of all intersections includes: and determining the service level of the preset road section according to the saturation of the preset road section and the delay time of the preset road section in the preset time interval.
In some embodiments, said storing and presenting said metric data comprises: determining index data of the preset road section between a first moment and a second moment as index data of the second moment, wherein the first moment and the second moment are adjacent integer moments, and the first moment is earlier than the second moment; and displaying the index data of all the integral point moments before the current time in the current date on a display interface, and displaying the index data of all the integral point moments before the current date.
An embodiment of the present disclosure further provides an index data processing apparatus for a vehicle travel section, including: the system comprises an acquisition module, a processing module and a display module, wherein the acquisition module is used for acquiring vehicle driving data of all intersections in a preset road section according to a preset time interval, and the preset road section at least comprises a first intersection positioned at the starting point of the preset road section and a second intersection positioned at the terminal point of the preset road section; the processing module is used for determining index data of the preset road section in the preset time interval according to the vehicle driving data of all intersections; and the display module is used for storing and displaying the index data.
Embodiments of the present disclosure also provide a storage medium storing a computer program, which when executed by a processor implements the steps of the above-described index data processing method for a vehicle travel section.
The embodiment of the present disclosure further provides an electronic device, which at least includes a memory and a processor, where the memory stores a computer program thereon, and the processor implements the steps of the index data processing method for a vehicle travel section when executing the computer program on the memory.
The beneficial effects of this disclosed embodiment lie in: through the acquisition and the cooperative analysis of the vehicle driving data of each intersection of the preset road section in the preset time interval, the index data of the preset road section in the preset time interval for representing the actual traffic condition of the road section is obtained, and the index data is visually displayed, so that the traffic condition of the road section is reflected at different angles through various index data, the monitoring requirements of monitoring personnel are more abundant, and meanwhile, more visual monitoring experience is brought to the monitoring personnel.
Drawings
In order to more clearly illustrate the embodiments of the present disclosure or the technical solutions in the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly introduced below, it is obvious that the drawings in the following description are only some embodiments described in the present disclosure, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a flowchart of an index data processing method for a vehicle travel section according to a first embodiment of the present disclosure;
FIG. 2 is a statistical schematic diagram of traffic data according to a first embodiment of the present disclosure;
fig. 3 is a schematic structural diagram of an index data processing device of a vehicle travel section according to a second embodiment of the present disclosure;
fig. 4 is a schematic structural diagram of an electronic device in a fourth embodiment of the present disclosure.
Detailed Description
Various aspects and features of the disclosure are described herein with reference to the drawings.
It will be understood that various modifications may be made to the embodiments of the present application. Accordingly, the foregoing description should not be construed as limiting, but merely as exemplifications of embodiments. Other modifications will occur to those skilled in the art within the scope and spirit of the disclosure.
The accompanying drawings, which are incorporated in and constitute a part of the specification, illustrate embodiments of the disclosure and, together with a general description of the disclosure given above, and the detailed description of the embodiments given below, serve to explain the principles of the disclosure.
These and other characteristics of the present disclosure will become apparent from the following description of preferred forms of embodiment, given as non-limiting examples, with reference to the attached drawings.
It should also be understood that, although the present disclosure has been described with reference to some specific examples, a person of skill in the art shall certainly be able to achieve many other equivalent forms of the disclosure, having the characteristics as set forth in the claims and hence all coming within the field of protection defined thereby.
The above and other aspects, features and advantages of the present disclosure will become more apparent in view of the following detailed description when taken in conjunction with the accompanying drawings.
Specific embodiments of the present disclosure are described hereinafter with reference to the accompanying drawings; however, it is to be understood that the disclosed embodiments are merely exemplary of the disclosure that may be embodied in various forms. Well-known and/or repeated functions and structures have not been described in detail so as not to obscure the present disclosure with unnecessary or unnecessary detail. Therefore, specific structural and functional details disclosed herein are not to be interpreted as limiting, but merely as a basis for the claims and as a representative basis for teaching one skilled in the art to variously employ the present disclosure in virtually any appropriately detailed structure.
The specification may use the phrases "in one embodiment," "in another embodiment," "in yet another embodiment," or "in other embodiments," which may each refer to one or more of the same or different embodiments in accordance with the disclosure.
In order to solve the problems in the prior art, a first embodiment of the present disclosure provides an index data processing method for a vehicle traveling road segment, which may be mainly applied to a monitoring station or a monitoring center of road traffic, and is used to obtain an actual traveling condition of a vehicle in the vehicle traveling road segment and perform multi-angle analysis of a traffic condition in the road segment, so that a monitoring person can know the actual condition of a preset road segment in time, and further perform traffic signal control or other traffic control measures in the road segment based on the actual condition of the preset road segment. Fig. 1 shows a flowchart of an index data processing method for a vehicle travel section disclosed in the present embodiment, which mainly includes steps S10 to S30:
and S10, acquiring the vehicle driving data of all intersections in the preset road section according to the preset time interval.
The preset road section may be any one road section in a road network monitored by the current monitoring center, and in this embodiment, the starting point and the terminal of each road section are limited to be one intersection, for example, a first intersection located at the starting point of the preset road section and a second intersection located at the end point of the preset road section, and of course, other intersections may also be included in the road section, and each intersection is provided with an intersection signal lamp for collecting vehicle driving data corresponding to a vehicle passing through the intersection. Specifically, the vehicle driving data at least comprises the time when each vehicle passes through the intersection and the vehicle flow of each intersection within a preset time interval; the vehicle driving data can further comprise the contents of the distance between adjacent vehicles, the speed of the vehicles passing through the intersection and the like, and can be used as reference data for monitoring personnel to know the actual situation in the road section.
The intersection signal lamp in the embodiment collects the passing condition of the vehicle in real time, the server or the terminal of the monitoring station or the monitoring center can communicate with the intersection signal lamp, and the vehicle driving data collected by the intersection signal lamp is obtained according to the preset time interval so as to count the traffic condition of the preset road section in the preset time interval. The preset time interval can be set according to the historical traffic flow of the preset road section or the actual monitoring requirement of the monitoring center, for example, the preset time interval can be set to five minutes, namely, the vehicle driving data collected by all intersection signal lamps in the preset road section is acquired every five minutes; if the traffic flow of the road section is small at ordinary times, the preset time interval may be adjusted to 30 minutes, if the traffic flow of the road section is huge at the peak of the working day in the morning and evening, the preset time interval may be adjusted to 1 minute at the peak of the working day in the morning and evening, and the remaining time is set to 5 minutes or other time lengths, which is not specifically limited in this embodiment.
It should be noted that, the intersection signal lamp can be realized in the form of radar or video acquisition when acquiring data such as the time and traffic flow of a vehicle passing through each intersection, or in other ways, and this embodiment is not limited, as long as it is accurate to count the traffic flow and the driving time.
And S20, determining index data of the preset road section within a preset time interval according to the vehicle driving data of all the intersections.
The index data disclosed in this embodiment at least includes any one of the following: the method comprises the following steps of traffic flow of a preset road section, average running speed of vehicles in the preset road section, saturation of the preset road section, delay comparison of the vehicles passing through the preset road section, unbalance index of the preset road section and service level of the preset road section. The various index data can be used for reflecting vehicle passing conditions, road congestion conditions, user driving experience conditions and the like of the preset road sections respectively, and specific analysis and calculation are performed by combining different index data.
The traffic flow is the total number of vehicles passing through a certain road section in unit time, and can reflect the passing condition and the congestion condition of the vehicles in the road section to a certain extent. When the index data is the traffic flow of the preset road section, the traffic flow of each intersection in the preset road section can be added and then divided by the number of all intersections included in the preset road section, that is, the average value of the traffic flow of a single intersection in the preset road section in a preset time interval is used as the traffic flow of the preset road section. It should be understood that any intersection in the preset section of the vehicle can be operated to turn left, turn right or go straight, if the preset road section comprises four continuous A, B, C, D intersections, the vehicle can realize left-turn or right-turn operation at intersection B and intersection C, then when a vehicle enters from intersection a and turns right at intersection C after passing through intersection B, the vehicle's passing record cannot be monitored at intersection D, and at the moment, the vehicle flow information at intersection a deviates from the vehicle flow information at intersection D, therefore, in order to solve the problem caused by the deviation, in the embodiment, the average value is taken as the traffic flow of the road section after the traffic flows counted at all the intersections are summed, and the accurate reflection of the number of the vehicles running in the preset road section is realized as far as possible.
The average running speed of the vehicle in the preset road section is the speed of the vehicle passing through two endpoints of a certain road section, the value of the average running speed can directly reflect the congestion state of the road section, and the average running speed is the visual perception of a traveler on the traffic congestion state. Under the condition that the index data is the average running speed of the vehicle in the preset road section, firstly, acquiring the total length of the preset road section; then respectively acquiring the actual passing time of each vehicle passing through a preset road section within a preset time interval, wherein the actual passing time can be determined according to the time difference between the time of the vehicle passing through the first intersection and the time of the vehicle passing through the second intersection; then, dividing the actual passing time by the total length of the preset road section to obtain the running speed of the vehicle in the preset road section; and finally, determining the average running speed of the vehicles in the preset road section according to the running speed of each vehicle in the preset road section and the number of all vehicles passing through the preset road section in the preset time interval. It should be noted that the total length of the preset road segment may be measured when the road segment to be monitored is divided, and the total length of the preset road segment does not change even when the end point of the preset road segment is not changed. In addition, when the average running speed is actually counted, the actual running time can be further divided into the running time including the traffic light and the running time not including the traffic light, the average running speed when the vehicle waits for the traffic light in the preset road section and the average running speed when the vehicle does not wait for the traffic light are correspondingly calculated, and the average running speed is used as a reference basis for monitoring personnel to judge whether the traffic light signal setting in the opening is reasonable or not according to the average running speed of the vehicle under different conditions.
The saturation of the preset road section is the ratio of the actual traffic flow in the preset road section to the theoretical traffic capacity in the road section, the congestion condition of the road section can be reflected, and poor driving experience is brought to a driver by the over-saturated road section. When the index data is the saturation of the preset road section, the quotient obtained by dividing the traffic flow of the preset road section by the theoretical traffic volume of the preset road section is the saturation of the preset road section. It should be noted that the theoretical traffic volume of the preset road section refers to the maximum traffic volume that can be borne in the road section, and when the theoretical traffic volume is exceeded, it indicates that the vehicles that are driving into the road section may not be able to timely drive out of the road section due to congestion, accidents or a large number of vehicles driving into the road section in a short time, and this state may also be referred to as an oversaturation state.
The delay comparison of the preset road section shows the comparison condition between the delay time of the preset road section in the current time interval and the delay time of the preset road section in the historical synchronization, and is used for reflecting the passing condition of the preset road section in different periods and further reflecting the change condition of the delay time of the vehicle in the preset road section. Under the condition that the index data is the time delay comparison of the vehicles passing through the preset road section, firstly, determining the average value of the actual passing time of all the vehicles passing through the preset road section, and recording the average value as the actual travel time, wherein the actual passing time is the time difference between the time of the vehicles passing through the first intersection and the time of the vehicles passing through the second intersection; then taking the difference value between the actual travel time and the standard travel time of the preset road section as the delay time of the preset road section in the preset time interval, wherein the standard travel time is the time required for the vehicle to travel from the starting point to the end point of the preset road section when the vehicle travels at the maximum speed allowed by the road section under the condition of not being controlled by traffic lights; and finally, comparing the delay time of the preset road section in the preset time interval with the delay time of the preset road section in the historical synchronization, and determining that the comparison result is the delay comparison of the preset road section.
The unbalance index of the preset section represents the congestion unbalance degree of each intersection in the preset section, the larger the value of the unbalance index is, the more serious the unbalance of the intersection is, and the larger the space for adjusting the signal lamp corresponding to the intersection is. Under the condition that the index data is an unbalance index of a preset road section, firstly determining an oversaturation time duration ratio and an idle time duration ratio of the preset road section in a preset time interval, wherein the oversaturation time duration ratio can be based on the calculation logic of saturation disclosed above, and determining the ratio between the time duration of the road section in an oversaturation state and the actual passing time of a vehicle, and the idle time duration ratio is the ratio between the time duration of no vehicle passing through the road section and the actual passing time of the vehicle, generally, a certain time period always exists in one time period when no vehicle passes through the preset road section (for example, morning time), so that the value of the idle time duration ratio is not zero generally; and finally, calculating the product of the oversaturation time period ratio and the idle time period ratio to express the degree of congestion unbalance, and under the normal condition, further multiplying the product of the oversaturation time period ratio and the idle time period ratio by a normalization coefficient, wherein for example, the normalization coefficient is 5, the unbalance index can be expressed as a dimensionless number between [0 and 5], when the unbalance index is 0, the passing efficiency of each inlet road of the intersection is balanced, the intersection has no downstream overflow phenomenon, and when the unbalance index is 5, the inlet road of the intersection is extremely unbalanced, and the downstream overflow is serious.
The service Level (LOS) is a quality standard describing traffic flow operation conditions, and is generally measured by conditions such as speed, travel time, driving freedom, traffic interruption, comfort and convenience, but there are parameters (such as driving freedom, comfort and convenience) that cannot be measured by objective standards, so that in some embodiments, saturation and delay time can be used as a standard for measuring a preset road section service level, and a corresponding service level grade can be determined according to a parameter range to which specific values of saturation and delay time belong, as shown in table 1.
TABLE 1
| Service level | Degree of saturation | Delay time |
| A | [0，0.25] | [0，10] |
| B | (0.25，0.5] | (10，20] |
| C | (0.5，0.7] | (20，35] |
| D | (0.7，0.85] | (35，55] |
| E | (0.85，0.95] | (55，80] |
| F | (0.95，+∞] | (80，+∞] |
It should be noted that, if the saturation and the delay time calculated in a preset time interval respectively fall within the corresponding ranges of the two service levels, the parameter with the lower grade of the corresponding service level is used as the determination criterion. For example, the service level corresponding to the calculated saturation is class B, but the level corresponding to the calculated delay time is class C, and the service level of the preset road section is class C in the current preset time interval.
During actual use, specific needs of calculation of index data can be set according to actual monitoring requirements, and calculation can be performed according to corresponding calculation logics. The index data and the corresponding calculation logic provided in the embodiment can enable the obtained index data to better reflect the actual traffic condition in the road section, so that monitoring personnel can judge with more dimensions.
And S30, storing and displaying the index data.
The index data can be directly stored after being determined, and can also be displayed on a display interface after being integrated, so that monitoring personnel can visually know the index data. Specifically, after various index data of the preset road section within the preset time interval are obtained, the index data of the preset road section within one hour can be counted by taking the hour as a unit, and the index data is displayed based on the hour, so that monitoring personnel can know the traffic change condition in the road section more conveniently. In some embodiments, the indicator data of the preset road section between the first time and the second time can be firstly determined as the indicator data of the second time, wherein the first time and the second time are adjacent integral point times, and the first time is earlier than the second time; and then displaying the index data of all the integral points before the current time in the current date on a display interface, and displaying the index data of all the integral points before the current date for comparison, so that monitoring personnel can know the synchronous traffic change condition in the road section conveniently. Fig. 2 shows a trend of traffic flow data, in which the horizontal axis represents 24 hour points during a day, and the vertical axis represents traffic flow data, for example, the solid line in fig. 2 represents traffic flow statistics at 30 minutes at 1 month, 2 days, and 12 hours at 2022 years, and the dotted line represents traffic flow statistics all day at 1 month, 1 day, and 2022 years.
When index data statistics is actually performed, in order to ensure real-time performance of data updating and avoid data delay updating caused by excessive data calculation in one hour, a time period to be counted can be advanced by a small amplitude when data at the current time is counted, for example, data in a period from 16 hours 55 minutes to 17 hours 55 minutes can be used as data at 18 hours, so as to ensure that data statistics in an hour from 16 hours 55 minutes to 17 hours 55 minutes is completed in a period from 17 hours 56 minutes to 18 hours, ensure that data at 18 hours is updated in time when 18 hours arrive, and avoid delay situations.
In some embodiments, the presentation interface may also present historical metric statistics in three time dimensions of day, week, and month. For example, when historical data of a day dimension needs to be displayed, index data of a predetermined number of days can be sequentially acquired from the day before the current date according to the current date to display, so that the change situation of the index data in the predetermined number of days can be represented. When the historical data of the week dimension needs to be displayed, according to the current week, the index data of the dates having the same week number as the current date in the predetermined week number are sequentially acquired from the previous week of the current week for displaying, for example, if the current date is tuesday, the index data corresponding to each tuesday in the predetermined week number is displayed. When the historical data of the month dimension needs to be displayed, the index data of the preset month number, which has the same date as the current date, is sequentially acquired from the previous month of the belonged month of the current date, for example, the current date is 15, and the index data of the previous preset month number, which is 15 per month, is acquired.
According to the method and the device, the index data of the preset road section used for representing the actual traffic condition of the road section in the preset time interval are obtained through acquisition and collaborative analysis of the vehicle driving data of each intersection of the preset road section in the preset time interval, and are visually displayed, so that the traffic condition in the road section is reflected at different angles through all the index data, the richer monitoring requirements of monitoring personnel are met, and meanwhile, more visual monitoring experience is brought to the monitoring personnel.
The second embodiment of the present disclosure provides an index data processing device for a vehicle traveling road section, which may be installed in a server or a processing terminal of a traffic monitoring station or a monitoring center, and is used to obtain an actual traveling condition of a vehicle in the vehicle traveling road section and perform multi-angle analysis of a traffic condition in the road section, so that a monitoring person can know the actual condition of a preset road section in time, and further perform traffic signal control or other traffic control measures in the road section based on the actual condition of the preset road section.
Fig. 3 is a schematic structural diagram of the index data processing apparatus. The system mainly comprises an acquisition module 10, a processing module 20 and a display module 30 which are coupled in sequence, wherein the acquisition module 10 is used for acquiring vehicle driving data of all intersections in a preset road section according to a preset time interval, and the preset road section at least comprises a first intersection located at the starting point of the preset road section and a second intersection located at the terminal point of the preset road section; the processing module 20 is configured to determine index data of a preset road segment within a preset time interval according to vehicle driving data of all intersections; the display module 30 is used for storing and displaying the index data.
Specifically, the vehicle travel data includes at least: the time of the vehicle passing through each intersection and the traffic flow of each intersection; the index data includes any one of: the method comprises the following steps of traffic flow of a preset road section, average running speed of vehicles in the preset road section, saturation of the preset road section, delay comparison of the vehicles passing through the preset road section, unbalance index of the preset road section and service level of the preset road section.
In some embodiments, in a case that the indicator data is a traffic flow of the preset road segment, the processing module 20 is specifically configured to add the traffic flow of each intersection in the preset road segment and then divide the sum by the number of intersections in the preset road segment, and use the obtained calculation result as the traffic flow of the preset road segment.
In some embodiments, in the case that the index data is an average traveling speed of the vehicle in the preset road segment, the processing module 20 is specifically configured to obtain a total length of the preset road segment; respectively acquiring the actual passing time of each vehicle running through a preset road section, wherein the actual passing time is the time difference between the time when the vehicle passes through a first intersection and the time when the vehicle passes through a second intersection; respectively determining the running speed of each vehicle in the preset road section according to the total length of the preset road section and the actual passing time; and determining the average running speed of the vehicles in the preset road section according to the running speed of each vehicle in the preset road section and the number of all vehicles passing through the preset road section in the preset time interval.
In some embodiments, in the case that the index data is the saturation of the preset road segment, the processing module 20 is specifically configured to determine the saturation of the preset road segment according to the traffic flow of the preset road segment and the theoretical traffic volume of the preset road segment.
In some embodiments, in the case that the index data is a time delay comparison of the vehicles passing through the preset road section, the processing module 20 is specifically configured to determine an average value of actual transit times of all vehicles passing through the preset road section, and record the average value as an actual travel time; determining a difference value between the actual travel time and the standard travel time of the preset road section as delay time of the preset road section in a preset time interval; and comparing the delay time of the preset road section in the preset time interval with the delay time of the preset road section in the historical synchronization, and determining that the comparison result is the delay comparison of the preset road section.
In some embodiments, in the case that the indicator data is an imbalance index of the preset road segment, the processing module 20 is specifically configured to determine a proportion of an oversaturation duration of the preset road segment within a preset time interval; determining the idle time occupation ratio of a preset road section in a preset time interval; and determining the unbalance index of the preset road section according to the product of the oversaturation time occupation ratio and the idle time occupation ratio, wherein the idle time occupation ratio is not zero.
In some embodiments, in the case that the index data is the service level of the preset road segment, the processing module 20 is specifically configured to determine the service level of the preset road segment according to the saturation of the preset road segment and the delay time of the preset road segment within the preset time interval.
In some embodiments, the display module 30 is specifically configured to determine, as the index data of the second time, the index data of the preset road segment between the first time and the second time, where the first time and the second time are adjacent integer times, and the first time is earlier than the second time; and displaying the index data of all the integral points before the current time in the current date on a display interface, and displaying the index data of all the integral points before the current date.
According to the method, the index data of the preset road section used for representing the actual traffic condition of the road section in the preset time interval are obtained through the acquisition and the cooperative analysis of the vehicle driving data of each intersection of the preset road section in the preset time interval, and the index data are visually displayed, so that the traffic condition of the road section is reflected at different angles through various index data, the monitoring requirements of monitoring personnel are richer are met, and meanwhile, more visual monitoring experience is brought for the monitoring personnel.
A third embodiment of the present disclosure provides a storage medium, which is installable in any one of a server or a terminal of a traffic monitoring station or a monitoring center, where the server or the terminal can implement data processing, and is specifically a computer-readable medium storing a computer program, where the computer program, when executed by a processor, implements the method provided in any embodiment of the present disclosure, and the method includes the following steps S31 to S33:
s31, acquiring vehicle driving data of all intersections in a preset road section according to a preset time interval, wherein the preset road section at least comprises a first intersection located at the starting point of the preset road section and a second intersection located at the end point of the preset road section;
s32, determining index data of the preset road section within a preset time interval according to the vehicle driving data of all intersections;
and S33, storing and displaying the index data.
Specifically, the vehicle travel data includes at least: the time of the vehicle passing through each intersection and the traffic flow of each intersection; the index data includes any one of: the method comprises the following steps of traffic flow of a preset road section, average running speed of vehicles in the preset road section, saturation of the preset road section, delay comparison of the vehicles passing through the preset road section, unbalance index of the preset road section and service level of the preset road section.
When the indicator data is the traffic flow of the preset road section, the computer program is executed by the processor to determine the indicator data of the preset road section within the preset time interval according to the vehicle driving data of all intersections, and the processor specifically executes the following steps: and adding the vehicle flow of each intersection in the preset road section, and dividing the sum by the number of the intersections in the preset road section to obtain a calculation result as the vehicle flow of the preset road section.
When the indicator data is the average driving speed of the vehicle in the preset road section, the computer program is executed by the processor to determine the indicator data of the preset road section within the preset time interval according to the vehicle driving data of all intersections, and the processor specifically executes the following steps: acquiring the total length of a preset road section; respectively acquiring the actual passing time of each vehicle running through a preset road section, wherein the actual passing time is the time difference between the time when the vehicle passes through a first intersection and the time when the vehicle passes through a second intersection; respectively determining the running speed of each vehicle in the preset road section according to the total length of the preset road section and the actual passing time; and determining the average running speed of the vehicles in the preset road section according to the running speed of each vehicle in the preset road section and the number of all vehicles passing through the preset road section in the preset time interval.
When the index data is the saturation of the preset road section, the computer program is executed by the processor to determine the index data of the preset road section in the preset time interval according to the vehicle driving data of all intersections, and the processor specifically executes the following steps: and determining the saturation of the preset road section according to the traffic flow of the preset road section and the theoretical traffic volume of the preset road section.
When the index data is a time delay comparison of a vehicle passing through a preset road section, the computer program is executed by the processor to determine the index data of the preset road section within a preset time interval according to vehicle driving data of all intersections, and the processor specifically executes the following steps: determining the average value of the actual passing time of all vehicles passing through a preset road section, and recording as the actual travel time; determining a difference value between the actual travel time and the standard travel time of the preset road section as delay time of the preset road section in a preset time interval; and comparing the delay time of the preset road section in the preset time interval with the delay time of the preset road section in the historical synchronization, and determining that the comparison result is the delay comparison of the preset road section.
When the index data is the unbalance index of the preset road section, the computer program is executed by the processor to determine the index data of the preset road section in the preset time interval according to the vehicle driving data of all intersections, and the processor specifically executes the following steps: determining the oversaturation time ratio of a preset road section in a preset time interval; determining the idle time occupation ratio of a preset road section in a preset time interval; and determining the unbalance index of the preset road section according to the product of the oversaturation time occupation ratio and the idle time occupation ratio, wherein the idle time occupation ratio is not zero.
When the index data is the service level of the preset road section, the computer program is executed by the processor to determine the index data of the preset road section within the preset time interval according to the vehicle driving data of all intersections, and the processor specifically executes the following steps: and determining the service level of the preset road section according to the saturation of the preset road section and the delay time of the preset road section in the preset time interval.
When the computer program is executed by the processor to store and display the index data, the processor specifically executes the following steps: determining index data of a preset road section between a first moment and a second moment as index data of the second moment, wherein the first moment and the second moment are adjacent integer moments, and the first moment is earlier than the second moment; and displaying the index data of all the integral points before the current time in the current date on a display interface, and displaying the index data of all the integral points before the current date.
According to the method, the index data of the preset road section used for representing the actual traffic condition of the road section in the preset time interval are obtained through the acquisition and the cooperative analysis of the vehicle driving data of each intersection of the preset road section in the preset time interval, and the index data are visually displayed, so that the traffic condition of the road section is reflected at different angles through various index data, the monitoring requirements of monitoring personnel are richer are met, and meanwhile, more visual monitoring experience is brought for the monitoring personnel.
A fourth embodiment of the present disclosure provides an electronic device, where a schematic structural diagram of the electronic device is shown in fig. 4, and the electronic device may be a server or a terminal used in a traffic monitoring station or a monitoring center, where the electronic device at least includes a memory 100 and a processor 200, where the memory 100 stores a computer program, and the processor 200 implements the method provided in any embodiment of the present disclosure when executing the computer program on the memory 100. Illustratively, the electronic device computer program steps are as follows S41-S43:
s41, acquiring vehicle driving data of all intersections in a preset road section according to a preset time interval, wherein the preset road section at least comprises a first intersection located at the starting point of the preset road section and a second intersection located at the end point of the preset road section;
s42, determining index data of the preset road section within a preset time interval according to the vehicle driving data of all intersections;
and S43, storing and displaying the index data.
Specifically, the vehicle travel data includes at least: the time of the vehicle passing through each intersection and the traffic flow of each intersection; the index data includes any one of: the method comprises the following steps of traffic flow of a preset road section, average running speed of vehicles in the preset road section, saturation of the preset road section, delay comparison of the vehicles passing through the preset road section, unbalance index of the preset road section and service level of the preset road section.
When the indicator data is the traffic flow of the preset road section, the processor executes the following computer program when determining the indicator data of the preset road section within the preset time interval according to the vehicle driving data of all intersections stored in the memory: and adding the vehicle flow of each intersection in the preset road section, and dividing the sum by the number of the intersections in the preset road section to obtain a calculation result as the vehicle flow of the preset road section.
When the indicator data is the average driving speed of the vehicle in the preset road section, the processor executes the following computer program when determining the indicator data of the preset road section within the preset time interval according to the vehicle driving data of all intersections stored in the memory: acquiring the total length of a preset road section; respectively acquiring the actual passing time of each vehicle running through a preset road section, wherein the actual passing time is the time difference between the time when the vehicle passes through a first intersection and the time when the vehicle passes through a second intersection; respectively determining the running speed of each vehicle in the preset road section according to the total length of the preset road section and the actual passing time; and determining the average running speed of the vehicles in the preset road section according to the running speed of each vehicle in the preset road section and the number of all vehicles passing through the preset road section in the preset time interval.
When the indicator data is the saturation of the preset road section, the processor executes the following computer program when determining the indicator data of the preset road section within the preset time interval according to the vehicle driving data of all intersections stored in the memory: and determining the saturation of the preset road section according to the traffic flow of the preset road section and the theoretical traffic volume of the preset road section.
When the index data is a time delay comparison of a vehicle passing through a preset road section, the processor executes the following computer program when determining the index data of the preset road section within a preset time interval according to vehicle driving data of all intersections stored in the memory: determining the average value of the actual passing time of all vehicles passing through a preset road section, and recording as the actual travel time; determining a difference value between the actual travel time and the standard travel time of the preset road section as delay time of the preset road section in a preset time interval; and comparing the delay time of the preset road section in the preset time interval with the delay time of the preset road section in the historical synchronization, and determining that the comparison result is the delay comparison of the preset road section.
When the index data is the unbalance index of the preset road section, the processor executes the following computer program when determining the index data of the preset road section within the preset time interval according to the vehicle driving data of all intersections stored in the memory: determining the oversaturation time ratio of a preset road section in a preset time interval; determining the idle time occupation ratio of a preset road section in a preset time interval; and determining the unbalance index of the preset road section according to the product of the oversaturation time occupation ratio and the idle time occupation ratio, wherein the idle time occupation ratio is not zero.
When the index data is the service level of the preset road section, the processor executes the following computer program when determining the index data of the preset road section within the preset time interval according to the vehicle driving data of all intersections stored in the memory: and determining the service level of the preset road section according to the saturation of the preset road section and the delay time of the preset road section in the preset time interval.
When the processor executes the storage stored in the memory and displays the index data, the following computer program is specifically executed: determining index data of a preset road section between a first moment and a second moment as index data of the second moment, wherein the first moment and the second moment are adjacent integer moments, and the first moment is earlier than the second moment; and displaying the index data of all the integral points before the current time in the current date on a display interface, and displaying the index data of all the integral points before the current date.
According to the method, the index data of the preset road section used for representing the actual traffic condition of the road section in the preset time interval are obtained through the acquisition and the cooperative analysis of the vehicle driving data of each intersection of the preset road section in the preset time interval, and the index data are visually displayed, so that the traffic condition of the road section is reflected at different angles through various index data, the monitoring requirements of monitoring personnel are richer are met, and meanwhile, more visual monitoring experience is brought for the monitoring personnel.
While the present disclosure has been described in detail with reference to the embodiments, the present disclosure is not limited to the specific embodiments, and those skilled in the art can make various modifications and alterations based on the concept of the present disclosure, and the modifications and alterations should fall within the scope of the present disclosure as claimed.
Claims (12)
1. A method for processing index data of a vehicle driving road section is characterized by comprising the following steps:
acquiring vehicle driving data of all intersections in a preset road section according to a preset time interval, wherein the preset road section at least comprises a first intersection positioned at the starting point of the preset road section and a second intersection positioned at the end point of the preset road section;
determining index data of the preset road section within the preset time interval according to the vehicle driving data of all intersections;
and storing and displaying the index data.
2. The index data processing method according to claim 1, wherein the vehicle travel data includes at least: the time when the vehicle passes through each intersection and the traffic flow of each intersection;
the index data includes any one of: the traffic flow of the preset road section, the average running speed of vehicles in the preset road section, the saturation of the preset road section, the delay comparison of vehicles passing through the preset road section, the unbalance index of the preset road section and the service level of the preset road section.
3. The index data processing method according to claim 2, wherein in a case where the index data is a traffic flow of the preset section, the determining the index data of the preset section within the preset time interval according to the vehicle travel data of all intersections includes:
and adding the vehicle flow of each intersection in the preset road section, and dividing the sum by the number of the intersections in the preset road section to obtain a calculation result as the vehicle flow of the preset road section.
4. The index data processing method according to claim 2, wherein in a case where the index data is an average traveling speed of a vehicle in the preset section, the determining the index data of the preset section for the preset time interval from the vehicle traveling data of all intersections includes:
acquiring the total length of the preset road section;
respectively acquiring the actual passing time of each vehicle running through the preset road section, wherein the actual passing time is the time difference between the time when the vehicle passes through the first intersection and the time when the vehicle passes through the second intersection;
respectively determining the running speed of each vehicle in the preset road section according to the total length of the preset road section and the actual passing time;
and determining the average running speed of the vehicles in the preset road section according to the running speed of each vehicle in the preset road section and the number of all vehicles passing through the preset road section in a preset time interval.
5. The index data processing method according to claim 2, wherein in a case where the index data is a saturation of the preset link, the determining the index data of the preset link for the preset time interval from the vehicle travel data of all intersections includes:
and determining the saturation of the preset road section according to the traffic flow of the preset road section and the theoretical traffic volume of the preset road section.
6. The index data processing method of claim 2, wherein in a case where the index data is a time-delay comparison of a vehicle passing through the preset section, the determining the index data of the preset section within the preset time interval according to the vehicle driving data of all intersections includes:
determining the average value of the actual passing time of all vehicles passing through the preset road section, and recording as the actual travel time;
determining the difference value between the actual travel time and the standard travel time of the preset road section as the delay time of the preset road section in the preset time interval;
and comparing the delay time of the preset road section in the preset time interval with the delay time of the preset road section in the historical synchronization, and determining the comparison result as the delay comparison of the preset road section.
7. The index data processing method according to claim 2, wherein in a case where the index data is an imbalance index of the preset section, the determining the index data of the preset section within the preset time interval from the vehicle travel data of all intersections includes:
determining the oversaturation time ratio of the preset road section in the preset time interval;
determining the idle time occupation ratio of the preset road section in the preset time interval;
and determining the unbalance index of the preset road section according to the product of the oversaturation time ratio and the free time ratio, wherein the free time ratio is not zero.
8. The index data processing method according to claim 2, wherein in a case where the index data is a service level of the preset section, the determining the index data of the preset section within the preset time interval from the vehicle travel data of all intersections includes:
and determining the service level of the preset road section according to the saturation of the preset road section and the delay time of the preset road section in the preset time interval.
9. An index data processing method according to any one of claims 1 to 8, wherein the storing and presenting the index data includes:
determining index data of the preset road section between a first moment and a second moment as index data of the second moment, wherein the first moment and the second moment are adjacent integer moments, and the first moment is earlier than the second moment;
and displaying the index data of all the integral point moments before the current time in the current date on a display interface, and displaying the index data of all the integral point moments before the current date.
10. An index data processing device for a vehicle travel section, characterized by comprising:
the system comprises an acquisition module, a processing module and a display module, wherein the acquisition module is used for acquiring vehicle driving data of all intersections in a preset road section according to a preset time interval, and the preset road section at least comprises a first intersection positioned at the starting point of the preset road section and a second intersection positioned at the terminal point of the preset road section;
the processing module is used for determining index data of the preset road section in the preset time interval according to the vehicle driving data of all intersections;
and the display module is used for storing and displaying the index data.
11. A storage medium storing a computer program characterized in that the computer program realizes the steps of the index data processing method of a vehicle travel section according to any one of claims 1 to 9 when executed by a processor.
12. An electronic device comprising at least a memory on which a computer program is stored, a processor, characterized in that the processor, when executing the computer program on the memory, implements the steps of the index data processing method for a vehicle travel section according to any one of claims 1 to 9.
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