CN113380037A - Traffic information acquisition method and device - Google Patents

Traffic information acquisition method and device Download PDF

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Publication number
CN113380037A
CN113380037A CN202110756682.9A CN202110756682A CN113380037A CN 113380037 A CN113380037 A CN 113380037A CN 202110756682 A CN202110756682 A CN 202110756682A CN 113380037 A CN113380037 A CN 113380037A
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vehicle
road
running
vehicles
traffic information
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CN113380037B (en
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向唯
何城
刘欢
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China Construction Bank Corp
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China Construction Bank Corp
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    • G—PHYSICS
    • G08—SIGNALLING
    • G08G—TRAFFIC CONTROL SYSTEMS
    • G08G1/00—Traffic control systems for road vehicles
    • G08G1/01—Detecting movement of traffic to be counted or controlled
    • G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
    • G08G1/0108—Measuring and analyzing of parameters relative to traffic conditions based on the source of data
    • G08G1/0112—Measuring and analyzing of parameters relative to traffic conditions based on the source of data from the vehicle, e.g. floating car data [FCD]
    • G—PHYSICS
    • G08—SIGNALLING
    • G08G—TRAFFIC CONTROL SYSTEMS
    • G08G1/00—Traffic control systems for road vehicles
    • G08G1/01—Detecting movement of traffic to be counted or controlled
    • G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
    • G08G1/0125—Traffic data processing
    • G08G1/0133—Traffic data processing for classifying traffic situation
    • G—PHYSICS
    • G08—SIGNALLING
    • G08G—TRAFFIC CONTROL SYSTEMS
    • G08G1/00—Traffic control systems for road vehicles
    • G08G1/01—Detecting movement of traffic to be counted or controlled
    • G08G1/052—Detecting movement of traffic to be counted or controlled with provision for determining speed or overspeed
    • G—PHYSICS
    • G08—SIGNALLING
    • G08G—TRAFFIC CONTROL SYSTEMS
    • G08G1/00—Traffic control systems for road vehicles
    • G08G1/065—Traffic control systems for road vehicles by counting the vehicles in a section of the road or in a parking area, i.e. comparing incoming count with outgoing count
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
    • Y02T10/00—Road transport of goods or passengers
    • Y02T10/10—Internal combustion engine [ICE] based vehicles
    • Y02T10/40—Engine management systems

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  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Chemical & Material Sciences (AREA)
  • Analytical Chemistry (AREA)
  • Traffic Control Systems (AREA)

Abstract

The invention discloses a traffic information acquisition method and device, and relates to the technical field of Internet of things. One embodiment of the method comprises: receiving a time sequence vehicle parameter sequence sent by a vehicle terminal in a target area, wherein the time sequence vehicle parameter sequence is a time sequence formed by operation parameters of a vehicle in which the vehicle terminal is located, and the operation parameters of the vehicle comprise vehicle speed and vehicle position information; determining vehicles running in the road of the target area according to the time sequence vehicle parameter sequence, and calculating the average speed of each running vehicle; and determining real-time traffic information of the road of the target area based on the average speed of the running vehicle and the vehicle position information. The embodiment can improve the real-time performance and accuracy of traffic information acquisition, is not interfered by the external environment, and reduces the cost of manpower and material resources.

Description

Traffic information acquisition method and device
Technical Field
The invention relates to the technical field of Internet of things, in particular to a traffic information acquisition method and device.
Background
The current traffic information collection technology in intelligent traffic includes utilizing video collection technology, utilizing floating car technology, utilizing unmanned aerial vehicle detection technology and the like. For example, a google map-based real-time traffic jam collection technology relies on the coverage of the google map, and if the number of users using the google map on a congested road is too small, the traffic information of the congested road cannot be collected, that is, the real-time and efficient traffic information cannot be provided. And it is great that the technique to gathering traffic information in unmanned aerial vehicle receives environmental factor interference, and strong wind weather will interfere with controlling of unmanned aerial vehicle, and rainstorm weather can influence unmanned aerial vehicle and shoot the picture quality, and unmanned aerial vehicle is when carrying out the information collection task, thereby operating condition's unmanned aerial vehicle leads to the picture to shake the problem because of the fuselage vibrations, when carrying out unmanned aerial vehicle collection task, need drop into a large amount of manpowers and carry out operation control to unmanned aerial vehicle.
In the process of implementing the invention, the inventor finds that at least the following problems exist in the prior art:
the real-time performance and the accuracy of traffic information collection are not high, the traffic information collection system is easy to be interfered by external environment, the cost of large manpower and material resources is consumed, the variation trend of real-time traffic information cannot be reminded and displayed in real time for a user, and the travel efficiency is not improved.
Disclosure of Invention
In view of this, embodiments of the present invention provide a method and an apparatus for collecting traffic information, which can improve the real-time performance and accuracy of traffic information collection, are not interfered by external environments, reduce the costs of manpower and material resources, remind a user of a change trend of real-time traffic information in real time, and improve the travel efficiency.
To achieve the above object, according to an aspect of an embodiment of the present invention, a traffic information collecting method is provided.
A traffic information collection method, comprising: receiving a time sequence vehicle parameter sequence sent by a vehicle terminal in a target area, wherein the time sequence vehicle parameter sequence is a time sequence formed by operation parameters of a vehicle in which the vehicle terminal is located, and the operation parameters of the vehicle comprise vehicle speed and vehicle position information; determining vehicles running in the road of the target area according to the time sequence vehicle parameter sequence, and calculating the average speed of each running vehicle; and determining real-time traffic information of the road of the target area based on the average speed of the running vehicle and the vehicle position information.
Optionally, the operating parameters of the vehicle further include a current key-off state of the vehicle; the determining vehicles running in the road of the target area according to the time sequence vehicle parameter sequence and calculating the average speed of each running vehicle comprises: determining vehicles running in the road of the target area according to the current flameout state of the vehicles in the time sequence vehicle parameter sequence; for each of the traveling vehicles, an average vehicle speed of the traveling vehicle is calculated at selected time intervals.
Optionally, the determining real-time traffic information of the road in the target area based on the average vehicle speed and the vehicle position information of the running vehicle includes: determining a first running vehicle set according to a set vehicle speed parameter and the average vehicle speed of the running vehicles; acquiring vehicle position information in the first running vehicle set from the time sequence vehicle parameter sequence; and determining real-time traffic information of a road where the vehicles in the first running vehicle set are located in the target area according to the vehicle position information in the first running vehicle set and the average speed of the corresponding vehicles.
Optionally, the set vehicle speed parameter includes a first vehicle speed parameter and a second vehicle speed parameter, and the second vehicle speed parameter is greater than the first vehicle speed parameter; the determining a first running vehicle set according to the set vehicle speed parameter and the average vehicle speed of the running vehicles comprises the following steps: comparing the first vehicle speed parameter and the second vehicle speed parameter with an average vehicle speed of the running vehicles, and determining the first running vehicle set based on a set of the running vehicles with the average vehicle speed less than the first vehicle speed parameter and the vehicles with the average vehicle speed greater than or equal to the first vehicle speed parameter and less than the second vehicle speed parameter.
Optionally, the determining, according to the vehicle position information in the first running vehicle set and the average vehicle speed of the corresponding vehicle, real-time traffic information of a road on which the vehicle in the first running vehicle set is located in the target area includes: determining a road in which a vehicle in the first running vehicle set is located in the target area according to vehicle position information in the first running vehicle set; for any road where the vehicles in the first running vehicle set are located, if the number of running vehicles with the average vehicle speed smaller than the first vehicle speed parameter on the road is larger than a preset crowded road parameter, generating information indicating that the road is crowded; and if the number of the vehicles with the average speed greater than or equal to the first vehicle speed parameter on the road is greater than a preset slow road parameter, and the number of the vehicles with the average speed less than the first vehicle speed parameter running is less than or equal to the preset crowded road parameter, generating information indicating that the road is slow.
Optionally, after determining the real-time traffic information of the road in the target area, the method further includes: displaying real-time traffic information of the road on map data, wherein the real-time traffic information of the road is information indicating that the road is crowded or information indicating that the road is slow.
Optionally, for any road on which the vehicles of the first set of running vehicles are located, after generating the information indicating that the road is congested or the information indicating that the road is slow, the method further comprises: determining a function of the number of target running vehicles of the road, which changes along with time in one day, according to historical vehicle operation data of the road, wherein the target running vehicles are vehicles in a set consisting of running vehicles with average vehicle speed less than the first vehicle speed parameter and vehicles with average vehicle speed greater than or equal to the first vehicle speed parameter and less than the second vehicle speed parameter; determining the change trend of the real-time traffic information of the road according to the curve of the function; displaying real-time traffic information of the road and a corresponding change trend on map data, wherein the real-time traffic information of the road is information indicating the road congestion or information indicating the road slowness.
Optionally, the determining a function of the number of target traveling vehicles of the road as a function of time during a day according to the historical vehicle operation data of the road includes: acquiring the target running vehicle number of the road at each time point every day according to historical vehicle running data of preset days of the road, and calculating the average value of the target running vehicle number of the road at the time point in the preset days for each time point of a day; and determining a function of the number of the target running vehicles of the road changing with time in one day according to the average value of the number of the target running vehicles of the road at each time point in one day.
Optionally, the determining a variation trend of the real-time traffic information of the road according to the curve of the function includes: at a first time point corresponding to the real-time traffic information of the road in one day, performing derivation on the function, and determining the change trend of the real-time traffic information of the road according to a derivation result, wherein if the derivation result is a positive number, the change trend is congestion increase; and if the derivative result is negative, the change trend is congestion reduction.
Optionally, the displaying real-time traffic information of the road on the map data includes: if the real-time traffic information of the road is information indicating that the road is crowded, marking the road with a first color on the map data; and if the real-time traffic information of the road is information indicating that the road is slow, marking the road with a second color on the map data.
Optionally, the displaying real-time traffic information of the road and a corresponding trend on the map data includes: determining a real-time traffic information predicted value of the road after the first time point according to the change trend, wherein the real-time traffic information predicted value is information indicating that the road is crowded or information indicating that the road is slow; under the condition that the real-time traffic information of the road is information indicating congestion of the road and the change trend is congestion reduction, alternately marking the road with a first color and a second color, wherein the display duration of the first color is longer than that of the second color; under the condition that the real-time traffic information of the road is information indicating that the road is slow and the change trend is congestion increase, alternately labeling the road with a second color and a first color, wherein the display duration of the second color is longer than that of the first color; wherein the first color corresponds to information indicating that the road is congested and the second color corresponds to information indicating that the road is slow.
According to another aspect of the embodiments of the present invention, a traffic information collecting apparatus is provided.
A traffic information collection device, comprising: the vehicle parameter receiving module is used for receiving a time sequence vehicle parameter sequence sent by a vehicle terminal in a target area, wherein the time sequence vehicle parameter sequence is a time sequence formed by operation parameters of a vehicle where the vehicle terminal is located, and the operation parameters of the vehicle comprise vehicle speed and vehicle position information; the average vehicle speed calculation module is used for determining vehicles running in the road of the target area according to the time sequence vehicle parameter sequence and calculating the average vehicle speed of each running vehicle; and the real-time traffic information determining module is used for determining the real-time traffic information of the road in the target area based on the average speed and the vehicle position information of the running vehicle.
Optionally, the operating parameters of the vehicle further include a current key-off state of the vehicle; the average vehicle speed calculation module is further configured to: determining vehicles running in the road of the target area according to the current flameout state of the vehicles in the time sequence vehicle parameter sequence; for each of the traveling vehicles, an average vehicle speed of the traveling vehicle is calculated at selected time intervals.
Optionally, the real-time traffic information determination module is further configured to: determining a first running vehicle set according to a set vehicle speed parameter and the average vehicle speed of the running vehicles; acquiring vehicle position information in the first running vehicle set from the time sequence vehicle parameter sequence; and determining real-time traffic information of a road where the vehicles in the first running vehicle set are located in the target area according to the vehicle position information in the first running vehicle set and the average speed of the corresponding vehicles.
Optionally, the set vehicle speed parameter includes a first vehicle speed parameter and a second vehicle speed parameter, and the second vehicle speed parameter is greater than the first vehicle speed parameter; the real-time traffic information determination module is further to: comparing the first vehicle speed parameter and the second vehicle speed parameter with an average vehicle speed of the running vehicles, and determining the first running vehicle set based on a set of the running vehicles with the average vehicle speed less than the first vehicle speed parameter and the vehicles with the average vehicle speed greater than or equal to the first vehicle speed parameter and less than the second vehicle speed parameter.
Optionally, the real-time traffic information determination module is further configured to: determining a road in which a vehicle in the first running vehicle set is located in the target area according to vehicle position information in the first running vehicle set; for any road where the vehicles in the first running vehicle set are located, if the number of running vehicles with the average vehicle speed smaller than the first vehicle speed parameter on the road is larger than a preset crowded road parameter, generating information indicating that the road is crowded; and if the number of the vehicles with the average speed greater than or equal to the first vehicle speed parameter on the road is greater than a preset slow road parameter, and the number of the vehicles with the average speed less than the first vehicle speed parameter running is less than or equal to the preset crowded road parameter, generating information indicating that the road is slow.
Optionally, the system further comprises an information display module, configured to: displaying real-time traffic information of the road on map data, wherein the real-time traffic information of the road is information indicating that the road is crowded or information indicating that the road is slow.
Optionally, the system further comprises a real-time traffic information prediction module, configured to: determining a function of the number of target running vehicles of the road, which changes along with time in one day, according to historical vehicle operation data of the road, wherein the target running vehicles are vehicles in a set consisting of running vehicles with average vehicle speed less than the first vehicle speed parameter and vehicles with average vehicle speed greater than or equal to the first vehicle speed parameter and less than the second vehicle speed parameter; determining the change trend of the real-time traffic information of the road according to the curve of the function; the device also includes an information display module configured to: displaying real-time traffic information of the road and a corresponding change trend on map data, wherein the real-time traffic information of the road is information indicating the road congestion or information indicating the road slowness.
Optionally, the real-time traffic information prediction module is further configured to: acquiring the target running vehicle number of the road at each time point every day according to historical vehicle running data of preset days of the road, and calculating the average value of the target running vehicle number of the road at the time point in the preset days for each time point of a day; and determining a function of the number of the target running vehicles of the road changing with time in one day according to the average value of the number of the target running vehicles of the road at each time point in one day.
Optionally, the real-time traffic information prediction module is further configured to: at a first time point corresponding to the real-time traffic information of the road in one day, performing derivation on the function, and determining the change trend of the real-time traffic information of the road according to a derivation result, wherein if the derivation result is a positive number, the change trend is congestion increase; and if the derivative result is negative, the change trend is congestion reduction.
Optionally, the information display module is further configured to: if the real-time traffic information of the road is information indicating that the road is crowded, marking the road with a first color on the map data; and if the real-time traffic information of the road is information indicating that the road is slow, marking the road with a second color on the map data.
Optionally, the information display module is further configured to: determining a real-time traffic information predicted value of the road after the first time point according to the change trend, wherein the real-time traffic information predicted value is information indicating that the road is crowded or information indicating that the road is slow; under the condition that the real-time traffic information of the road is information indicating congestion of the road and the change trend is congestion reduction, alternately marking the road with a first color and a second color, wherein the display duration of the first color is longer than that of the second color; under the condition that the real-time traffic information of the road is information indicating that the road is slow and the change trend is congestion increase, alternately labeling the road with a second color and a first color, wherein the display duration of the second color is longer than that of the first color; wherein the first color corresponds to information indicating that the road is congested and the second color corresponds to information indicating that the road is slow.
According to yet another aspect of an embodiment of the present invention, an electronic device is provided.
An electronic device, comprising: one or more processors; a memory for storing one or more programs, which when executed by the one or more processors, cause the one or more processors to implement the traffic information collection method provided by the embodiments of the present invention.
According to yet another aspect of an embodiment of the present invention, a computer-readable medium is provided.
A computer-readable medium, on which a computer program is stored, which, when executed by a processor, implements the traffic information acquisition method provided by an embodiment of the present invention.
One embodiment of the above invention has the following advantages or benefits: receiving a time sequence vehicle parameter sequence sent by a vehicle terminal in a target area, wherein the time sequence vehicle parameter sequence is a time sequence formed by operation parameters of a vehicle in which the vehicle terminal is located, and the operation parameters of the vehicle comprise vehicle speed and vehicle position information; determining vehicles running in a road of a target area according to the time sequence vehicle parameter sequence, and calculating the average speed of each running vehicle; real-time traffic information of a road of a target area is determined based on the average speed of the running vehicle and the vehicle position information. The real-time performance and the accuracy of traffic information acquisition can be improved, the interference of the external environment is avoided, and the cost of manpower and material resources is reduced. According to the embodiment of the invention, the function that the number of the target running vehicles of the road changes along with the time in one day is determined according to the historical vehicle running data of the road, the change trend of the real-time traffic information of the road is determined according to the curve of the function, and the real-time traffic information of the road and the corresponding change trend are displayed on the map data, so that the change trend of the real-time traffic information is reminded and displayed to a user in real time, and the travel efficiency is improved.
Further effects of the above-mentioned non-conventional alternatives will be described below in connection with the embodiments.
Drawings
The drawings are included to provide a better understanding of the invention and are not to be construed as unduly limiting the invention. Wherein:
fig. 1 is a schematic diagram of main steps of a traffic information collection method according to an embodiment of the present invention;
FIG. 2 is a schematic diagram of the main modules of a traffic information collection device according to one embodiment of the present invention;
FIG. 3 is a schematic diagram of an overall system configuration for traffic information collection according to one embodiment of the present invention;
FIG. 4 is an exemplary system architecture diagram in which embodiments of the present invention may be employed;
fig. 5 is a schematic block diagram of a computer system suitable for use in implementing a terminal device or server of an embodiment of the invention.
Detailed Description
Exemplary embodiments of the present invention are described below with reference to the accompanying drawings, in which various details of embodiments of the invention are included to assist understanding, and which are to be considered as merely exemplary. Accordingly, those of ordinary skill in the art will recognize that various changes and modifications of the embodiments described herein can be made without departing from the scope and spirit of the invention. Also, descriptions of well-known functions and constructions are omitted in the following description for clarity and conciseness.
Fig. 1 is a schematic diagram of main steps of a traffic information collection method according to an embodiment of the present invention.
As shown in fig. 1, the traffic information collecting method according to an embodiment of the present invention mainly includes the following steps S101 to S103.
Step S101: receiving a time sequence vehicle parameter sequence sent by a vehicle terminal in a target area, wherein the time sequence vehicle parameter sequence is a time sequence formed by operation parameters of a vehicle in which the vehicle terminal is located, and the operation parameters of the vehicle comprise vehicle speed and vehicle position information;
step S102: determining vehicles running in a road of a target area according to the time sequence vehicle parameter sequence, and calculating the average speed of each running vehicle;
step S103: real-time traffic information of a road of a target area is determined based on the average speed of the running vehicle and the vehicle position information.
The running parameters of the vehicle also comprise the current ignition and flameout state of the vehicle, and the current ignition and flameout state is specifically divided into an ignition state and a flameout state.
The vehicle terminal can acquire the current ignition-off state T of the vehicle as [0, 1%]"0" represents that the vehicle is in a key-off state, and "1" represents that the vehicle is in an ignition state. The current vehicle speed v of the vehicle, and the longitude and latitude (P ═ long, lat) of the current vehicle position may also be acquired]"long" represents longitude of vehicle, and "lat" represents latitude of vehicle), etc., collecting vehicle operation parameters according to a certain time interval, finally forming a group of time sequence array, i.e. time sequence vehicle parameter sequence Mt＝[t,M]Where t is a certain time, and M is a vehicle parameter set acquired at time t.
Determining vehicles running in a road of a target area according to the time sequence vehicle parameter sequence, and calculating the average speed of each running vehicle, wherein the method specifically comprises the following steps: determining vehicles running in a road of a target area according to the current flameout state of the vehicles in the time sequence vehicle parameter sequence; for each traveling vehicle, an average vehicle speed of the traveling vehicles is calculated at selected time intervals.
The method comprises the following steps of determining real-time traffic information of a road in a target area based on the average speed and the position information of a running vehicle, and specifically comprises the following steps: determining a first running vehicle set according to the set vehicle speed parameter and the average vehicle speed of running vehicles; acquiring vehicle position information in a first running vehicle set from the time sequence vehicle parameter sequence; and determining real-time traffic information of a road where the vehicles in the first running vehicle set are located in the target area according to the vehicle position information in the first running vehicle set and the average speed of the corresponding vehicles.
The set vehicle speed parameters comprise a first vehicle speed parameter and a second vehicle speed parameter, and the second vehicle speed parameter is greater than the first vehicle speed parameter; determining a first running vehicle set according to the set vehicle speed parameter and the average vehicle speed of running vehicles, and the method specifically comprises the following steps: and comparing the first vehicle speed parameter and the second vehicle speed parameter with the average vehicle speed of the running vehicles, and determining a first running vehicle set based on a set formed by the running vehicles with the average vehicle speed less than the first vehicle speed parameter and the vehicles with the average vehicle speed more than or equal to the first vehicle speed parameter and less than the second vehicle speed parameter.
The method comprises the following steps of determining real-time traffic information of a road where vehicles in a first running vehicle set are located in a target area according to vehicle position information in the first running vehicle set and the average speed of corresponding vehicles, and specifically comprises the following steps: determining a road where the vehicles in the first running vehicle set are located in the target area according to the vehicle position information in the first running vehicle set; for any road where the vehicles in the first running vehicle set are located, if the number of running vehicles with the average speed smaller than the first vehicle speed parameter on the road is larger than a preset congestion road parameter, generating information indicating that the road is congested; and if the number of the vehicles with the average speed greater than or equal to the first vehicle speed parameter on the road is greater than the preset slow road parameter, and the number of the vehicles with the average speed less than the first vehicle speed parameter running is less than or equal to the preset crowded road parameter, generating information indicating that the road is slow.
In one embodiment, after determining the real-time traffic information of the road of the target area, the real-time traffic information of the road may be further displayed on the map data, the real-time traffic information of the road being information indicating congestion of the road or information indicating slowness of the road.
In one embodiment, displaying real-time traffic information for a road on map data includes: if the real-time traffic information of the road is information indicating congestion of the road, marking the road with a first color on the map data; and if the real-time traffic information of the road is information indicating that the road is slow, marking the road with a second color on the map data.
According to one embodiment of the invention, the target area, e.g. a target city, the first vehicle speed parameter and the second vehicle speed parameter are each set to VCAnd VSRespectively, representing different vehicle speed criteria. The method comprises the steps that the current flameout state of a target urban vehicle is judged, all vehicles in the ignition state are divided, and the vehicle in the ignition state is determined as a running vehicle; secondly, a time interval s (namely the selected time interval) is selected, and the current average speed V of the vehicle is calculated according to the speed of the vehicle in the time interval siSelecting the current average speed V from the vehicle in the ignition stateiLess than VC(ii) a And is greater than or equal to VCAnd is less than VSThe vehicle of (2) acquires all the geographical position information P thereofiAnd determining the corresponding specific road position information. Respectively counting the average speed V of the vehicle on a certain roadiLess than VCNumber of vehicles UCAnd an average vehicle speed ViGreater than or equal to VCAnd is less than VSNumber of vehicles US. Setting parameter MC、MSRespectively representing the set standards of the crowded road parameter and the slow road parameter when the average speed of a certain road is less than VCNumber of vehicles UCGreater than MCIf so, the current road congestion is reflected, and the road is marked with red (a first color) on the map; when the average speed of the vehicle on a certain road is greater than or equal to VCAnd is less than VSNumber of vehicles USGreater than MSAnd the average vehicle speed is less than VCNumber of vehicles UCLess than or equal to MCIf yes, then the current road is slow, and the road will be marked with yellow (second color) on the map; otherwise the roads are marked with green.
In one embodiment, after generating the information indicating congestion of the road or the information indicating slowness of the road, for any road where the vehicles in the first running vehicle set are located, a function that the target running vehicle number of the road changes with time in one day can be determined according to historical vehicle running data of the road, wherein the historical vehicle running data comprises data such as the vehicle speed of each vehicle on each past day of the road, the number of running vehicles on each past day and the like, and the target running vehicles are vehicles in the set consisting of vehicles with the average vehicle speed less than the first vehicle speed parameter and vehicles with the average vehicle speed greater than or equal to the first vehicle speed parameter and less than the second vehicle speed parameter; determining the change trend of the real-time traffic information of the road according to the curve of the function; real-time traffic information of roads, which is information indicating that the roads are crowded or information indicating that the roads are slow, and corresponding trend of change are displayed on the map data.
According to historical vehicle operation data of a road, determining a function that the number of target running vehicles of the road changes with time in one day, and the method specifically comprises the following steps: acquiring the number of target running vehicles of the road at each time point every day according to historical vehicle running data of the road in preset days, and calculating the average value of the number of the target running vehicles of the road at the time point in the preset days for each time point of the day; and determining a function of the number of the target running vehicles of the road changing along with time in one day according to the average value of the number of the target running vehicles of the road at each time point in one day.
Determining the change trend of the real-time traffic information of the road according to the curve of the function, which specifically comprises the following steps: at a first time point corresponding to the real-time traffic information of the road in one day, performing derivation on the function, and determining the change trend of the real-time traffic information of the road according to a derivation result, wherein if the derivation result is a positive number, the change trend is congestion increase; if the derivative result is negative, the change trend is congestion reduction.
In one embodiment, displaying real-time traffic information of roads and corresponding trend of change on map data includes: determining a real-time traffic information predicted value of the road after the first time point according to the change trend, wherein the real-time traffic information predicted value is information indicating congestion of the road or information indicating slowness of the road; under the condition that the real-time traffic information of the road is information indicating congestion of the road and the change trend is congestion reduction, the road is alternately marked by a first color and a second color, and the display duration of the first color is longer than that of the second color, preferably, the setting standard of the display duration is that the display duration of the first color is obviously longer than that of the second color, so that a user can distinguish that the first color is long-time stay and the second color is short-time stay, namely, the second color is displayed in a flashing effect; under the condition that the real-time traffic information of the road is information indicating that the road is slow and the change trend is congestion increase, alternately labeling the road with a second color and a first color, wherein the display duration of the second color is longer than that of the first color, preferably, the setting standard of the display duration is such that the display duration of the second color is obviously longer than that of the first color, so that a user can distinguish that the second color is long-time stay and the first color is short-time stay, namely, the first color is displayed in a flashing effect; wherein the first color corresponds to information indicating that the road is congested and the second color corresponds to information indicating that the road is slow.
Fig. 2 is a schematic diagram of main blocks of a traffic information collecting apparatus according to an embodiment of the present invention.
As shown in fig. 2, a traffic information collecting apparatus 200 according to an embodiment of the present invention mainly includes: the vehicle parameter receiving module 201, the average vehicle speed calculating module 202 and the real-time traffic information determining module 203.
The vehicle parameter receiving module 201 is configured to receive a time sequence vehicle parameter sequence sent by a vehicle terminal in a target area, where the time sequence vehicle parameter sequence is a time sequence formed by operation parameters of a vehicle in which the vehicle terminal is located, and the operation parameters of the vehicle include a vehicle speed and vehicle position information;
the average vehicle speed calculating module 202 is used for determining vehicles running in the road of the target area according to the time sequence vehicle parameter sequence and calculating the average vehicle speed of each running vehicle;
and the real-time traffic information determining module 203 is used for determining real-time traffic information of roads in the target area based on the average speed of the running vehicles and the vehicle position information.
The operating parameters of the vehicle also include a current key-off state of the vehicle;
the average vehicle speed calculation module 202 is further configured to: determining vehicles running in a road of a target area according to the current flameout state of the vehicles in the time sequence vehicle parameter sequence; for each traveling vehicle, an average vehicle speed of the traveling vehicles is calculated at selected time intervals.
The real-time traffic information determination module 203 is specifically configured to: determining a first running vehicle set according to the set vehicle speed parameter and the average vehicle speed of running vehicles; acquiring vehicle position information in a first running vehicle set from the time sequence vehicle parameter sequence; and determining real-time traffic information of a road where the vehicles in the first running vehicle set are located in the target area according to the vehicle position information in the first running vehicle set and the average speed of the corresponding vehicles.
The set vehicle speed parameters comprise a first vehicle speed parameter and a second vehicle speed parameter, and the second vehicle speed parameter is larger than the first vehicle speed parameter.
The real-time traffic information determination module 203 is further specifically configured to: and comparing the first vehicle speed parameter and the second vehicle speed parameter with the average vehicle speed of the running vehicles, and determining a first running vehicle set based on a set formed by the running vehicles with the average vehicle speed less than the first vehicle speed parameter and the vehicles with the average vehicle speed more than or equal to the first vehicle speed parameter and less than the second vehicle speed parameter.
The real-time traffic information determination module 203 is further specifically configured to: determining a road where the vehicles in the first running vehicle set are located in the target area according to the vehicle position information in the first running vehicle set; for any road where the vehicles in the first running vehicle set are located, if the number of running vehicles with the average speed smaller than the first vehicle speed parameter on the road is larger than a preset congestion road parameter, generating information indicating that the road is congested; and if the number of the vehicles with the average speed greater than or equal to the first vehicle speed parameter on the road is greater than the preset slow road parameter, and the number of the vehicles with the average speed less than the first vehicle speed parameter running is less than or equal to the preset crowded road parameter, generating information indicating that the road is slow.
The traffic information collection device 200 further includes an information display module for: displaying real-time traffic information of the road on map data, wherein the real-time traffic information of the road is information indicating that the road is crowded or information indicating that the road is slow.
In one embodiment, the traffic information collection device 200 further comprises a real-time traffic information prediction module for: determining a function of the number of target running vehicles of the road, which changes along with time in one day, according to historical vehicle operation data of the road, wherein the target running vehicles are vehicles in a set consisting of running vehicles with an average vehicle speed less than a first vehicle speed parameter and vehicles with an average vehicle speed greater than or equal to the first vehicle speed parameter and less than a second vehicle speed parameter; and determining the change trend of the real-time traffic information of the road according to the curve of the function.
The information display module may be specifically configured to: real-time traffic information of roads, which is information indicating that the roads are crowded or information indicating that the roads are slow, and corresponding trend of change are displayed on the map data.
The real-time traffic information prediction module is further configured to: acquiring the number of target running vehicles of the road at each time point every day according to historical vehicle running data of the road in preset days, and calculating the average value of the number of the target running vehicles of the road at the time point in the preset days for each time point of the day; and determining a function of the number of the target running vehicles of the road changing along with time in one day according to the average value of the number of the target running vehicles of the road at each time point in one day.
The real-time traffic information prediction module is further configured to: at a first time point corresponding to the real-time traffic information of the road in one day, performing derivation on the function, and determining the change trend of the real-time traffic information of the road according to a derivation result, wherein if the derivation result is a positive number, the change trend is congestion increase; if the derivative result is negative, the change trend is congestion reduction.
In one embodiment, the information display module is specifically configured to: if the real-time traffic information of the road is information indicating congestion of the road, marking the road with a first color on the map data; and if the real-time traffic information of the road is information indicating that the road is slow, marking the road with a second color on the map data.
In one embodiment, the information display module is specifically configured to: determining a real-time traffic information predicted value of the road after the first time point according to the change trend, wherein the real-time traffic information predicted value is information indicating congestion of the road or information indicating slowness of the road; under the condition that the real-time traffic information of the road is information indicating congestion of the road and the change trend is congestion reduction, the road is alternately marked by a first color and a second color, and the display duration of the first color is longer than that of the second color; under the condition that the real-time traffic information of the road is information indicating that the road is slow and the change trend is congestion increase, the road is alternately marked by a second color and a first color, and the display duration of the second color is longer than that of the first color; wherein the first color corresponds to information indicating that the road is congested and the second color corresponds to information indicating that the road is slow.
In addition, the detailed implementation of the traffic information collecting device in the embodiment of the present invention has been described in detail in the above traffic information collecting method, so that repeated descriptions herein will not be repeated.
The overall system structure of the traffic information collection according to an embodiment of the present invention is shown in fig. 3, and the traffic information collection system 300 includes a vehicle parameter acquisition module 301, a vehicle terminal transmission module 302, a traffic information processing center 303, and a real-time traffic information display module 304, where the vehicle parameter acquisition module and the vehicle terminal transmission module are modules located at a vehicle terminal, the vehicle parameter acquisition module 301 may be configured to acquire operating parameters of a current key-off state of a vehicle, a current vehicle speed of the vehicle, a longitude and a latitude of a current vehicle position, and the vehicle terminal transmission module 302 is configured to acquire the vehicle operating parameters at a certain time interval, and finally form a group of time sequence arrays, i.e., a time sequence vehicle parameter sequence. The traffic information processing center 303 is established by taking a city as a unit, collects a time sequence vehicle parameter sequence sent by vehicle terminals in the whole urban area, and performs related processing on all data to obtain a corresponding traffic information result, and the traffic information processing center 303 can specifically execute the functions of the vehicle parameter receiving module 201, the average vehicle speed calculating module 202 and the real-time traffic information determining module 203 of the traffic information collecting device 200. The real-time traffic information display module 304 obtains the traffic information operation result from the traffic information processing center 303, sets the corresponding standard parameters, and displays the corresponding standard parameters in the corresponding map data, and specifically, the real-time traffic information display module 304 may perform the function of the information display module in the traffic information collection device 200, which is not described herein again because the above has described the modules of the traffic information collection device 200 in detail.
The embodiment of the invention is based on the technology of real-time traffic information acquisition of the Internet of vehicles, optimizes a traffic information acquisition model from the Internet of vehicles, better serves the traffic field, is not limited by the influence of weather, is less interfered by the outside, can provide more accurate real-time traffic information, saves a large amount of manpower, material resources and financial resources, and has more humanized acquisition result.
Fig. 4 shows an exemplary system architecture 400 of a traffic information collection method or a traffic information collection apparatus to which an embodiment of the present invention may be applied.
As shown in fig. 4, the system architecture 400 may include terminal devices 401, 402, 403, a network 404, and a server 405. The network 404 serves as a medium for providing communication links between the terminal devices 401, 402, 403 and the server 405. Network 404 may include various types of connections, such as wire, wireless communication links, or fiber optic cables, to name a few.
A user may use terminal devices 401, 402, 403 to interact with a server 405 over a network 404 to receive or send messages or the like. The terminal devices 401, 402, 403 may have installed thereon various communication client applications, such as shopping-like applications, web browser applications, search-like applications, instant messaging tools, mailbox clients, social platform software, etc. (by way of example only).
The terminal devices 401, 402, 403 may be various electronic devices having a display screen and supporting web browsing, including but not limited to smart phones, tablet computers, laptop portable computers, desktop computers, and the like.
The server 405 may be a server providing various services, such as a background management server (for example only) providing support for shopping websites browsed by users using the terminal devices 401, 402, 403. The backend management server may analyze and perform other processing on the received data such as the product information query request, and feed back a processing result (for example, target push information, product information — just an example) to the terminal device.
It should be noted that the traffic information collection method provided in the embodiment of the present invention is generally executed by the server 405, and accordingly, the traffic information collection device is generally disposed in the server 405.
It should be understood that the number of terminal devices, networks, and servers in fig. 4 is merely illustrative. There may be any number of terminal devices, networks, and servers, as desired for implementation.
Referring now to FIG. 5, a block diagram of a computer system 500 suitable for use in implementing a terminal device or server of an embodiment of the present application is shown. The terminal device or the server shown in fig. 5 is only an example, and should not bring any limitation to the functions and the scope of use of the embodiments of the present application.
As shown in fig. 5, the computer system 500 includes a Central Processing Unit (CPU)501 that can perform various appropriate actions and processes according to a program stored in a Read Only Memory (ROM)502 or a program loaded from a storage section 508 into a Random Access Memory (RAM) 503. In the RAM 503, various programs and data necessary for the operation of the system 500 are also stored. The CPU 501, ROM 502, and RAM 503 are connected to each other via a bus 504. An input/output (I/O) interface 505 is also connected to bus 504.
The following components are connected to the I/O interface 505: an input portion 506 including a keyboard, a mouse, and the like; an output portion 507 including a display such as a Cathode Ray Tube (CRT), a Liquid Crystal Display (LCD), and the like, and a speaker; a storage portion 508 including a hard disk and the like; and a communication section 509 including a network interface card such as a LAN card, a modem, or the like. The communication section 509 performs communication processing via a network such as the internet. The driver 510 is also connected to the I/O interface 505 as necessary. A removable medium 511 such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, or the like is mounted on the drive 510 as necessary, so that a computer program read out therefrom is mounted into the storage section 508 as necessary.
In particular, according to embodiments of the present disclosure, the processes described above with reference to the main step schematic may be implemented as computer software programs. For example, the disclosed embodiments of the invention include a computer program product comprising a computer program embodied on a computer readable medium, the computer program comprising program code for performing the method shown in the main step diagram. In such an embodiment, the computer program may be downloaded and installed from a network through the communication section 509, and/or installed from the removable medium 511. The above-described functions defined in the system of the present application are executed when the computer program is executed by the Central Processing Unit (CPU) 501.
It should be noted that the computer readable medium shown in the present invention can be a computer readable signal medium or a computer readable storage medium or any combination of the two. A computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples of the computer readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the present application, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. In this application, however, a computer readable signal medium may include a propagated data signal with computer readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to: wireless, wire, fiber optic cable, RF, etc., or any suitable combination of the foregoing.
The principal step diagrams and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present application. In this regard, each block in the main step diagrams or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams or block diagrams, and combinations of blocks in the block diagrams or block diagrams, can be implemented by special purpose hardware-based systems that perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
The modules described in the embodiments of the present invention may be implemented by software or hardware. The described modules may also be provided in a processor, which may be described as: a processor comprises a vehicle parameter receiving module, an average vehicle speed calculating module and a real-time traffic information determining module. The names of these modules do not constitute a limitation to the module itself in some cases, and for example, the vehicle parameter receiving module may also be described as a "module for receiving a time-series vehicle parameter sequence transmitted by a vehicle terminal in a target area".
As another aspect, the present invention also provides a computer-readable medium that may be contained in the apparatus described in the above embodiments; or may be separate and not incorporated into the device. The computer readable medium carries one or more programs which, when executed by a device, cause the device to comprise: receiving a time sequence vehicle parameter sequence sent by a vehicle terminal in a target area, wherein the time sequence vehicle parameter sequence is a time sequence formed by operation parameters of a vehicle in which the vehicle terminal is located, and the operation parameters of the vehicle comprise vehicle speed and vehicle position information; determining vehicles running in the road of the target area according to the time sequence vehicle parameter sequence, and calculating the average speed of each running vehicle; and determining real-time traffic information of the road of the target area based on the average speed of the running vehicle and the vehicle position information.
According to the technical scheme of the embodiment of the invention, a time sequence vehicle parameter sequence sent by a vehicle terminal in a target area is received, wherein the time sequence vehicle parameter sequence is a time sequence formed by operation parameters of a vehicle in which the vehicle terminal is positioned, and the operation parameters of the vehicle comprise vehicle speed and vehicle position information; determining vehicles running in the road of the target area according to the time sequence vehicle parameter sequence, and calculating the average speed of each running vehicle; and determining real-time traffic information of the road of the target area based on the average speed of the running vehicle and the vehicle position information. The real-time performance and the accuracy of traffic information acquisition can be improved, the interference of the external environment is avoided, and the cost of manpower and material resources is reduced. According to the embodiment of the invention, the function that the number of the target running vehicles of the road changes along with the time in one day is determined according to the historical vehicle running data of the road, the change trend of the real-time traffic information of the road is determined according to the curve of the function, and the real-time traffic information and the corresponding change trend of the road are displayed on the map data, so that the change trend of the real-time traffic information is reminded and displayed to a user in real time, and the travel efficiency is improved.
The above-described embodiments should not be construed as limiting the scope of the invention. Those skilled in the art will appreciate that various modifications, combinations, sub-combinations, and substitutions can occur, depending on design requirements and other factors. Any modification, equivalent replacement, and improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims (15)

1. A traffic information collection method, comprising:
receiving a time sequence vehicle parameter sequence sent by a vehicle terminal in a target area, wherein the time sequence vehicle parameter sequence is a time sequence formed by operation parameters of a vehicle in which the vehicle terminal is located, and the operation parameters of the vehicle comprise vehicle speed and vehicle position information;
determining vehicles running in the road of the target area according to the time sequence vehicle parameter sequence, and calculating the average speed of each running vehicle;
and determining real-time traffic information of the road of the target area based on the average speed of the running vehicle and the vehicle position information.
2. The method of claim 1, wherein the operating parameters of the vehicle further include a current key-off status of the vehicle;
the determining vehicles running in the road of the target area according to the time sequence vehicle parameter sequence and calculating the average speed of each running vehicle comprises:
determining vehicles running in the road of the target area according to the current flameout state of the vehicles in the time sequence vehicle parameter sequence;
for each of the traveling vehicles, an average vehicle speed of the traveling vehicle is calculated at selected time intervals.
3. The method of claim 1, wherein determining real-time traffic information for the roadway of the target area based on the average vehicle speed and vehicle location information of the traveling vehicle comprises:
determining a first running vehicle set according to a set vehicle speed parameter and the average vehicle speed of the running vehicles;
acquiring vehicle position information in the first running vehicle set from the time sequence vehicle parameter sequence;
and determining real-time traffic information of a road where the vehicles in the first running vehicle set are located in the target area according to the vehicle position information in the first running vehicle set and the average speed of the corresponding vehicles.
4. The method of claim 3, wherein the set vehicle speed parameter includes a first vehicle speed parameter and a second vehicle speed parameter, the second vehicle speed parameter being greater than the first vehicle speed parameter;
the determining a first running vehicle set according to the set vehicle speed parameter and the average vehicle speed of the running vehicles comprises the following steps:
comparing the first vehicle speed parameter and the second vehicle speed parameter with an average vehicle speed of the running vehicles, and determining the first running vehicle set based on a set of the running vehicles with the average vehicle speed less than the first vehicle speed parameter and the vehicles with the average vehicle speed greater than or equal to the first vehicle speed parameter and less than the second vehicle speed parameter.
5. The method of claim 4, wherein the determining real-time traffic information of a road on which vehicles in the first set of running vehicles are located in the target area according to vehicle position information in the first set of running vehicles and an average speed of corresponding vehicles comprises:
determining a road in which a vehicle in the first running vehicle set is located in the target area according to vehicle position information in the first running vehicle set;
for any road where the vehicles in the first running vehicle set are located, if the number of running vehicles with the average vehicle speed smaller than the first vehicle speed parameter on the road is larger than a preset crowded road parameter, generating information indicating that the road is crowded; and if the number of the vehicles with the average speed greater than or equal to the first vehicle speed parameter on the road is greater than a preset slow road parameter, and the number of the vehicles with the average speed less than the first vehicle speed parameter running is less than or equal to the preset crowded road parameter, generating information indicating that the road is slow.
6. The method of claim 5, wherein after determining the real-time traffic information of the roads of the target area, further comprising:
displaying real-time traffic information of the road on map data, wherein the real-time traffic information of the road is information indicating that the road is crowded or information indicating that the road is slow.
7. The method of claim 5, wherein after generating the information indicative of the road congestion or the information indicative of the road slowness, for any road on which vehicles of the first set of traveling vehicles are located, the method further comprises:
determining a function of the number of target running vehicles of the road, which changes along with time in one day, according to historical vehicle operation data of the road, wherein the target running vehicles are vehicles in a set consisting of running vehicles with average vehicle speed less than the first vehicle speed parameter and vehicles with average vehicle speed greater than or equal to the first vehicle speed parameter and less than the second vehicle speed parameter;
determining the change trend of the real-time traffic information of the road according to the curve of the function;
displaying real-time traffic information of the road and a corresponding change trend on map data, wherein the real-time traffic information of the road is information indicating the road congestion or information indicating the road slowness.
8. The method of claim 7, wherein determining a function of the target number of vehicles traveling on the roadway as a function of time over a day based on historical vehicle operation data for the roadway comprises:
acquiring the target running vehicle number of the road at each time point every day according to historical vehicle running data of preset days of the road, and calculating the average value of the target running vehicle number of the road at the time point in the preset days for each time point of a day;
and determining a function of the number of the target running vehicles of the road changing with time in one day according to the average value of the number of the target running vehicles of the road at each time point in one day.
9. The method of claim 8, wherein determining the trend of the real-time traffic information of the road according to the curve of the function comprises:
at a first time point corresponding to the real-time traffic information of the road in one day, performing derivation on the function, and determining the change trend of the real-time traffic information of the road according to a derivation result, wherein if the derivation result is a positive number, the change trend is congestion increase; and if the derivative result is negative, the change trend is congestion reduction.
10. The method according to claim 6 or 9, wherein the displaying real-time traffic information of the road on the map data comprises:
if the real-time traffic information of the road is information indicating that the road is crowded, marking the road with a first color on the map data;
and if the real-time traffic information of the road is information indicating that the road is slow, marking the road with a second color on the map data.
11. The method of claim 9, wherein displaying the real-time traffic information and the corresponding trend on the map data comprises:
determining a real-time traffic information predicted value of the road after the first time point according to the change trend, wherein the real-time traffic information predicted value is information indicating that the road is crowded or information indicating that the road is slow;
under the condition that the real-time traffic information of the road is information indicating congestion of the road and the change trend is congestion reduction, alternately marking the road with a first color and a second color, wherein the display duration of the first color is longer than that of the second color;
under the condition that the real-time traffic information of the road is information indicating that the road is slow and the change trend is congestion increase, alternately labeling the road with a second color and a first color, wherein the display duration of the second color is longer than that of the first color;
wherein the first color corresponds to information indicating that the road is congested and the second color corresponds to information indicating that the road is slow.
12. A traffic information collection device, comprising:
the vehicle parameter receiving module is used for receiving a time sequence vehicle parameter sequence sent by a vehicle terminal in a target area, wherein the time sequence vehicle parameter sequence is a time sequence formed by operation parameters of a vehicle where the vehicle terminal is located, and the operation parameters of the vehicle comprise vehicle speed and vehicle position information;
the average vehicle speed calculation module is used for determining vehicles running in the road of the target area according to the time sequence vehicle parameter sequence and calculating the average vehicle speed of each running vehicle;
and the real-time traffic information determining module is used for determining the real-time traffic information of the road in the target area based on the average speed and the vehicle position information of the running vehicle.
13. The apparatus of claim 12, wherein the operating parameters of the vehicle further comprise a current key-off state of the vehicle;
the average vehicle speed calculation module is further configured to:
determining vehicles running in the road of the target area according to the current flameout state of the vehicles in the time sequence vehicle parameter sequence;
for each of the traveling vehicles, an average vehicle speed of the traveling vehicle is calculated at selected time intervals.
14. An electronic device, comprising:
one or more processors;
a memory for storing one or more programs,
the one or more programs, when executed by the one or more processors, cause the one or more processors to implement the method of any of claims 1-11.
15. A computer-readable medium, on which a computer program is stored which, when being executed by a processor, carries out the method according to any one of claims 1-11.
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