CN109003442B - Road delay time calculation and traffic jam situation determination method and system - Google Patents
Road delay time calculation and traffic jam situation determination method and system Download PDFInfo
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- CN109003442B CN109003442B CN201810653699.XA CN201810653699A CN109003442B CN 109003442 B CN109003442 B CN 109003442B CN 201810653699 A CN201810653699 A CN 201810653699A CN 109003442 B CN109003442 B CN 109003442B
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- G08G1/00—Traffic control systems for road vehicles
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- G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
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Abstract
The invention provides a method and a system for calculating road delay time and determining traffic jam conditions, wherein the method for calculating the road delay time comprises the following steps: judging whether a motor car exists in the monitored road section; when a motor vehicle is in the monitored road section, starting monitoring equipment to track and monitor the motor vehicle entering the monitored road section; acquiring the running speed of the motor vehicle, and judging whether the running speed of the motor vehicle is lower than a preset speed threshold value or not; when the running speed is lower than a preset speed threshold value, judging that the motor vehicle is in a delay state; obtaining delay monitoring data of the motor vehicle in a delay state, and calculating delay time of the motor vehicle according to the delay monitoring data; and calculating the road delay time according to the corresponding motor vehicle delay time of all the motor vehicles in the delay state. By implementing the method and the device, the delay time of the road can be accurately calculated in real time by setting the preset speed threshold, and an accurate data basis is provided for judging the traffic jam condition of the monitored road section.
Description
Technical Field
The invention relates to the technical field of public security traffic management, in particular to a method and a system for calculating road delay time and determining traffic jam conditions.
Background
With the increasing number of people who travel by adopting a motor vehicle mode, road congestion at peak time is increasingly serious, and serious influence is caused to the travel of people.
In an area with frequent traffic congestion, a plurality of road sections with congestion may exist, delay time of all motor vehicles passing through the road sections with congestion is monitored at each road section with congestion, the delay time can be used for evaluating the operation efficiency of the road sections, further the degree of congestion is quantitatively evaluated, data support can be provided for road planning construction and signal control scheme design, effects of congestion relieving measures taken by traffic management departments can be verified, corresponding reference and support are further provided, and urban road traffic management is facilitated to be improved.
Most of the existing motor vehicle delay time estimation methods are to calculate the motor vehicle delay time of a certain traffic signal intersection, when judging whether a motor vehicle belongs to delay, the motor vehicle delay time is judged by judging whether the running speed of the motor vehicle is zero, if the running speed is zero, the delay is judged, otherwise the delay does not belong to delay, and in actual life, the running speed of the motor vehicle running on a road section sending traffic jam is not zero, but the motor vehicle runs at a running speed far lower than that under normal road conditions, and the situation of traffic jam possibly exists in the front of the road at the moment, so that a result obtained by adopting the existing motor vehicle delay time estimation methods has a large error and cannot accurately reflect the degree of the traffic jam of the road section in real time.
Disclosure of Invention
Therefore, the technical problem to be solved by the invention is to overcome the problems that in the prior art, whether the delay of the motor vehicle is judged by judging whether the running speed of the motor vehicle is zero or not is judged, and when the running speed of the motor vehicle is not zero but is far lower than the normal running speed, a result obtained by adopting the existing motor vehicle delay time estimation method has a large error and cannot reflect the traffic jam degree of the road section in real time and accurately.
According to a first aspect, an embodiment of the present invention provides a road delay time calculation method, including: judging whether a motor car exists in the monitored road section; when a motor vehicle is in the monitored road section, starting monitoring equipment to track and monitor the motor vehicle entering the monitored road section; acquiring the running speed of the motor vehicle, and judging whether the running speed of the motor vehicle is lower than a preset speed threshold value or not; when the running speed is lower than the preset speed threshold value, determining that the motor vehicle is in a delay state; obtaining delay monitoring data of the motor vehicle in the delay state; calculating the delay time of the motor vehicle according to the delay monitoring data; and calculating the road delay time according to the motor vehicle delay time corresponding to all the motor vehicles in the delay state.
With reference to the first aspect, in a first embodiment of the first aspect, the acquiring delay monitoring data of the motor vehicle in the delay state, and calculating the delay time of the motor vehicle according to the delay monitoring data includes: obtaining the delayed running speed, the delayed running initial position, the delayed running end position and the delayed running time of the motor vehicle in the delayed state; determining a delayed driving distance of the motor vehicle in the delayed state according to the starting position and the ending position; and calculating the delay time of the motor vehicle according to the delay driving distance, the delay driving speed, the delay driving time and the preset speed threshold. With reference to the first aspect, in a second embodiment of the first aspect, the calculating the delay time of the vehicle according to the delay monitoring data includes: determining a delayed driving distance of the motor vehicle in the delayed state according to the starting position and the ending position; and calculating the delay time of the motor vehicle according to the delay driving distance, the delay driving speed, the delay driving time and the preset speed threshold.
With reference to the first aspect, in a second implementation manner of the first aspect, the calculating the delay time of the vehicle according to the delay driving distance, the delay driving speed, the delay driving time, and the preset speed threshold includes: calculating the delay time of the motor vehicle according to the following formula:
wherein, TynIs the nth in delayDelay time, T, of a motor vehicle in a fault statexnFor the delayed driving time, S, of the nth motor vehicle in the delayed statenFor the delayed driving distance, V, of the nth motor vehicle in the delayed statezxN is a positive integer for the preset speed threshold.
With reference to the first aspect, in a third embodiment of the first aspect, the calculating a road delay time according to the vehicle delay times corresponding to all the vehicles in the delay state includes: calculating the road delay time according to the following formula:
Tyz＝∑nTyn，
wherein, TyzFor said road delay time, TynThe delay time of the motor vehicle of the nth motor vehicle in the delay state is shown, and n is a positive integer.
According to a second aspect, the present invention provides a method for determining a road congestion condition, comprising: acquiring the number of motor vehicles running on a monitored road section; calculating a road delay time for the monitored road segment by using the method of the first aspect or any one of the alternatives of the first aspect; calculating average delay time according to the road delay time and the number of the motor vehicles; and determining the congestion condition of the monitored road section according to the relation between the average delay time and the preset average delay time.
With reference to the second aspect, in a first embodiment of the first aspect, the calculating an average delay time according to the road delay time and the number of vehicles includes: the average delay time is calculated according to the following formula:
wherein, TmFor said mean delay time, TyzAnd m is the number of the motor vehicles running on the monitored road section.
According to a third aspect, an embodiment of the present invention provides a road delay time calculation system, including: the monitoring judgment module is used for judging whether a motor car exists in the monitored road section; the detection data generation module is used for starting monitoring equipment to track and monitor each motor vehicle entering the monitored road section when the motor vehicle exists in the monitored road section; the driving speed judging module is used for acquiring the driving speed of the motor vehicle and judging whether the driving speed of the motor vehicle is lower than a preset speed threshold value or not; the delay state determination module is used for determining that the motor vehicle is in a delay state when the running speed is lower than the preset speed threshold; the motor vehicle delay time calculation module is used for acquiring delay monitoring data of the motor vehicle in the delay state and calculating motor vehicle delay time according to the delay monitoring data; and the road delay time calculation module is used for calculating the road delay time according to the motor vehicle delay time corresponding to all the motor vehicles in the delay state.
According to a fourth aspect, an embodiment of the present invention provides a road congestion situation determining system, including: the motor vehicle quantity acquisition module is used for acquiring the quantity of the motor vehicles running on the monitored road section; a road delay time calculation module for calculating road delay time of the monitored road section according to the road delay time calculation system as claimed in claim 7; the average delay time calculation module is used for calculating average delay time according to the road delay time and the number of the motor vehicles; and the congestion condition determining module is used for determining the congestion condition of the monitored road section according to the relation between the average delay time and the preset average delay time.
According to a fifth aspect, embodiments of the present invention provide a non-transitory computer-readable storage medium storing computer instructions for causing a computer to execute the method for calculating a road delay time according to the first aspect or any one of the alternatives of the first aspect, or the method for determining a road congestion condition according to the second aspect or any one of the alternatives of the second aspect.
According to a sixth aspect, embodiments of the present invention provide a computer program product comprising a computer program stored on a non-transitory computer-readable storage medium, the computer program comprising program instructions that, when executed by a computer, cause the computer to perform the method for calculating a road delay time as described in the first aspect or any one of the alternatives of the first aspect, or cause the computer to perform the method for determining a road congestion situation as described in the second aspect or any one of the alternatives of the second aspect.
The technical scheme of the invention has the following advantages:
1. the embodiment of the invention monitors the motor vehicles entering the monitored road section, judges whether the running speed of the motor vehicles is lower than a preset speed threshold value, judges that the motor vehicles are in a delay state if the running speed of the motor vehicles is lower than the preset speed threshold value, acquires delay monitoring data of the motor vehicles, calculates the delay time of the motor vehicles, and finally calculates the road delay time according to the delay time of all the motor vehicles in the delay state. By setting the preset speed threshold, the delay time of the monitored road section can be accurately calculated in real time, and an accurate data basis is provided for judging the traffic jam condition of the monitored road section.
2. According to the embodiment of the invention, the number of the motor vehicles running on the monitored road section is obtained, the delay time of the monitored road section is calculated through a road delay calculation method, then the average delay time is calculated, and finally the congestion condition of the monitored road section is determined through the relation between the average delay time and the preset average delay time. The traffic jam condition of the monitored road section can be accurately reflected in real time, so that the road running condition displayed by a motor vehicle traveler is provided, and data support is provided for a traffic management department.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and other drawings can be obtained by those skilled in the art without creative efforts.
FIG. 1 is a flowchart of a method for calculating a road delay time according to an embodiment of the present invention;
FIG. 2 is another flowchart of a method for calculating a road delay time according to an embodiment of the present invention;
FIG. 3 is a flowchart of a method for determining road congestion according to an embodiment of the present invention;
FIG. 4 is a schematic structural diagram of a road delay time calculation system according to an embodiment of the present invention;
FIG. 5 is a schematic structural diagram of a road congestion status determining system according to an embodiment of the present invention;
fig. 6 is a schematic structural diagram of a computer device in an embodiment of the present invention.
Detailed Description
The technical solutions of the present invention will be described clearly and completely with reference to the accompanying drawings, and it should be understood that the described embodiments are some, but not all embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
In the description of the present invention, it should be noted that the terms "first", "second", and "third" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance.
In addition, the technical features involved in the different embodiments of the present invention described below may be combined with each other as long as they do not conflict with each other.
Example 1
The embodiment of the invention provides a road delay time calculation method, as shown in fig. 1, the road delay time calculation method comprises the following steps:
step S1: and judging whether a motor car exists in the monitored road section. It is first determined whether there is a vehicle on the monitored road section, and if there is a vehicle on the road section, step S2 is performed.
Step S2: and starting a monitoring device to track and monitor the motor vehicle entering the monitored road section. The monitoring device may monitor the entire driving process of the vehicle from entering the monitored road section to leaving the monitored road section, monitor the driving speed, the driving position, the driving time, the driving track, and the like of the vehicle, and then perform step S3.
Step S3: and acquiring the running speed of the motor vehicle, and judging whether the running speed of the motor vehicle is lower than a preset speed threshold value. The normal running speeds of the motor vehicles on different monitored road sections are different, the average running speed of the motor vehicles on the monitored road sections under the condition of no traffic jam can be obtained through analysis of traffic data information of the monitored road sections in the past, a speed threshold value can be preset according to the proportion value of the average running speed, and whether the motor vehicles are in a delay state or not can be judged. Obtaining the driving speed condition of the motor vehicle on the road section from the monitoring data obtained by the monitoring device, judging whether the driving speed on the monitored road section is lower than a preset speed threshold value or not, if so, executing step S4,
step S4: and when the running speed is lower than the preset speed threshold value, determining that the motor vehicle is in a delay state. If the driving speed of the motor vehicle is lower than the preset speed threshold value, which indicates that the motor vehicle is in a delay state in driving on the monitored road section, it indicates that there is a traffic jam in front of driving, and then step S5 is executed.
Step S5: and obtaining delay monitoring data of the motor vehicle in a delay state, and calculating the delay time of the motor vehicle according to the delay monitoring data. When the motor vehicle is in a delay state, the delay time of the motor vehicle in the delay state needs to be calculated in order to better evaluate the traffic congestion condition of the monitored road section. As shown in fig. 2, the specific calculation process includes:
step S51: and obtaining the delayed running speed, the start position of the delayed running, the end position of the delayed running and the delayed running time of the motor vehicle in the delayed state. The running data of the vehicle is acquired from the monitored data, and then step S52 is executed.
Step S52: and determining the delayed driving distance of the motor vehicle in the delayed state according to the starting position and the ending position. And the difference value between the position of the starting moment when the running speed of the motor vehicle is lower than the preset speed threshold value and the position of the ending moment when the running speed of the motor vehicle is lower than the preset speed threshold value is the delayed running distance value of the motor vehicle in the delayed state.
Step S53: and calculating the delay time of the motor vehicle according to the delay driving distance, the delay driving speed, the delay driving time and a preset speed threshold value. The difference value between the delayed running time of the motor vehicle in the delayed state and the time used by the motor vehicle to run the delayed running distance value at the preset speed threshold value is the motor vehicle delay time of the motor vehicle, and the motor vehicle delay time can be calculated according to the following formula:
wherein, TynFor the delay time, T, of the nth motor vehicle in the delayed statexnFor the delayed driving time of the nth motor vehicle in the delayed state, SnFor the delayed driving distance, V, of the nth motor vehicle in the delayed statezxIs a preset speed threshold value, and n is a positive integer.
Step S6: and calculating the road delay time according to the corresponding motor vehicle delay time of all the motor vehicles in the delay state. The overall road delay time of the monitored road section can be obtained by calculating the motor vehicle delay time of each motor vehicle, and the road delay time is calculated according to the following formula:
Tyz＝∑nTyn，
wherein, TyzFor time delay of the road, TynThe delay time of the nth motor vehicle in the delay state is shown, and n is a positive integer.
By executing the steps S1 to S5, the method for calculating road delay provided by the embodiment of the present invention can accurately calculate the delay time of the monitored road segment in real time, and provides an accurate data basis for determining the traffic congestion condition of the monitored road segment.
Example 2
An embodiment of the present invention provides a method for determining a road congestion condition, as shown in fig. 3, the method for determining a road congestion condition includes:
step S7: the number of vehicles running on the monitored road section is obtained. The number of vehicles traveling on the monitored section at the present time is counted, and then step S8 is performed.
Step S8: the road delay time of the monitored link is calculated by using the road delay time calculation method in embodiment 1. Before the traffic jam condition of the monitored road section at the current moment is judged, the delay time of the road is calculated to provide a data basis for the subsequent judgment of the traffic jam condition, and then the step S9 is executed.
Step S9: and calculating the average delay time according to the road delay time and the number of the motor vehicles. The road delay time is the sum of the delay time of all motor vehicles running in the delay state, and motor vehicles which do not run in the delay state, namely run in the normal state exist in the monitored road section, so that the traffic condition of the road section can be judged by calculating the average delay time of all running motor vehicles in the monitored road section. Specifically, the average delay time may be calculated according to the following formula:
wherein, TmTo average delay time, TyzFor road delay time, m is the number of vehicles traveling on the monitored road segment.
Step S10: and determining the congestion condition of the monitored road section according to the relation between the average delay time and the preset average delay time. In practice, different preset average delay times can be set according to historical traffic congestion data information of a monitored road section and traffic congestion situation levels required to be divided, for example: when the average delay time of the motor vehicles on the monitored road section is less than a first preset average delay time, judging that the current traffic condition of the road section is good and no congestion occurs, and reminding travelers of entering the road section to travel without congestion; when the average delay time of the motor vehicles on the monitored road section is greater than the first preset average delay time but less than the second preset average delay time, judging that the current traffic condition of the road section is general and a congestion condition happens occasionally, and reminding a traveler that a slight congestion may exist if the traveler runs through the road section; and when the average delay time of the motor vehicles on the monitored road section is greater than the second preset average delay time, judging that the current traffic condition of the road section is congestion, influencing the trip, and reminding a traveler of preferably bypassing the road section to drive so as to avoid delaying the trip plan. The number of the preset average delay time can be set according to actual needs, and the invention is not limited to this.
By executing the steps S7 to S10, the embodiment of the present invention can accurately reflect the traffic congestion condition of the monitored road segment in real time, so as to provide the road driving condition for the vehicle traveler and provide data support for the traffic management department.
Example 3
An embodiment of the present invention provides a road delay time calculation system, as shown in fig. 4, the road delay time calculation system includes:
and the monitoring and judging module 1 is used for judging whether a motor car exists in the monitored road section. For details, reference is made to step S1 in embodiment 1.
And the detection data generation module 2 is used for starting monitoring equipment to track and monitor each motor vehicle entering the monitored road section when the motor vehicle exists in the monitored road section. For details, reference is made to step S2 in embodiment 1.
And the running speed judging module 3 is used for acquiring the running speed of the motor vehicle and judging whether the running speed of the motor vehicle is lower than a preset speed threshold value. For details, reference is made to step S3 in embodiment 1.
And the delay state determination module 4 is used for determining that the motor vehicle is in a delay state when the running speed is lower than a preset speed threshold. For details, reference is made to step S4 in embodiment 1.
And the motor vehicle delay time calculation module 5 is used for acquiring delay monitoring data of the motor vehicle in a delay state and calculating the motor vehicle delay time according to the delay monitoring data. For details, reference is made to step S5 in embodiment 1.
And the road delay time calculation module 6 is used for calculating the road delay time according to the motor vehicle delay time corresponding to all the motor vehicles in the delay state. For details, reference is made to step S6 in embodiment 1.
Example 4
An embodiment of the present invention provides a road congestion condition determining system, as shown in fig. 5, the road congestion condition determining system includes:
and the motor vehicle number acquisition module 7 is used for acquiring the number of the motor vehicles running on the monitored road section. For details, reference is made to step S7 in embodiment 1.
And a road delay time calculation module 8, configured to calculate the road delay time of the monitored road segment by using the road delay time calculation system in embodiment 3. For details, reference is made to step S8 in embodiment 1.
And the average delay time calculation module 9 is used for calculating the average delay time according to the road delay time and the number of the motor vehicles. For details, reference is made to step S9 in embodiment 1.
And the congestion condition determining module 10 is configured to determine a congestion condition of the monitored road section according to a relationship between the average delay time and a preset average delay time. For details, reference is made to step S10 in embodiment 1.
Example 5
An embodiment of the present invention provides a non-transitory computer storage medium, where the computer storage medium stores computer-executable instructions, where the computer-executable instructions may perform the method for calculating a road delay time according to any of embodiments 1 above, or the computer-executable instructions may perform the method for determining a road congestion condition according to any of embodiments 2 above. The storage medium may be a magnetic Disk, an optical Disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a Flash Memory (Flash Memory), a Hard Disk (Hard Disk Drive, abbreviated as HDD) or a Solid State Drive (SSD), etc.; the storage medium may also comprise a combination of memories of the kind described above.
Those skilled in the art will appreciate that all or part of the processes of the methods of the embodiments described above can be implemented by hardware related to instructions of a computer program, which can be stored in a computer readable storage medium, and when executed, the processes of the embodiments of the methods described above can be included. The storage medium may be a magnetic disk, an optical disk, a read-only memory (ROM), a Random Access Memory (RAM), or the like.
Example 6
An embodiment of the present invention provides a computer device, a schematic structural diagram of which is shown in fig. 6, where the computer device includes: one or more processors 410 and a memory 420, with one processor 410 being an example in fig. 6.
The computer device described above may further include: an input device 430 and an output device 440.
The processor 410, the memory 420, the input device 430, and the output device 440 may be connected by a bus or other means, such as the bus connection in fig. 6.
The memory 420 is a non-transitory computer-readable storage medium, and may be used to store non-transitory software programs, non-transitory computer-executable programs, and modules, such as program instructions/modules corresponding to the road delay time calculation method or the road congestion condition determination method in the embodiment of the present application, and the processor 410 executes various functional applications and data processing of the server by running the non-transitory software programs, instructions, and modules stored in the memory 420, so as to implement the road delay time calculation method or the road congestion condition determination method in the above method embodiment.
The memory 420 may include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required for at least one function; the storage data area may store data created according to the use of a road delay time calculation method or a road congestion situation determination processing device, or the like. Further, the memory 420 may include high speed random access memory, and may also include non-transitory memory, such as at least one magnetic disk storage device, flash memory device, or other non-transitory solid state storage device. In some embodiments, memory 420 may optionally include memory located remotely from processor 410, which may be connected via a network to a road delay time calculation device or a determination device that monitors road segment congestion. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
The input device 430 may receive input numeric or character information and generate key signal inputs related to user settings and function control related to a processing device of a road delay time calculation operation or a road congestion situation determination operation. The output device 440 may include a display device such as a display screen.
One or more modules are stored in memory 420 and, when executed by the one or more processors 410, perform the method shown in fig. 1 or 2, or perform the method shown in fig. 3.
The product can execute the method provided by the embodiment of the invention, and has corresponding functional modules and beneficial effects of the execution method. For technical details that are not described in detail in the embodiments of the present invention, reference may be made specifically to the description of the embodiment shown in fig. 1 or the embodiment shown in fig. 3.
It should be understood that the above examples are only for clarity of illustration and are not intended to limit the embodiments. Other variations and modifications will be apparent to persons skilled in the art in light of the above description. And are neither required nor exhaustive of all embodiments. And obvious variations or modifications therefrom are within the scope of the invention.
Claims (8)
1. A road delay time calculation method is characterized by comprising the following steps:
judging whether a motor car exists in the monitored road section;
when a motor vehicle is in the monitored road section, starting monitoring equipment to track and monitor the motor vehicle entering the monitored road section;
acquiring the running speed of the motor vehicle, and judging whether the running speed of the motor vehicle is lower than a preset speed threshold value or not;
when the running speed is lower than the preset speed threshold value, determining that the motor vehicle is in a delay state;
obtaining delay monitoring data of the motor vehicle in the delay state, and calculating motor vehicle delay time according to the delay monitoring data;
the obtaining of the delay monitoring data of the motor vehicle in the delay state and the calculating of the delay time of the motor vehicle according to the delay monitoring data comprises:
obtaining the delayed running speed, the delayed running initial position, the delayed running end position and the delayed running time of the motor vehicle in the delayed state;
determining a delayed driving distance of the motor vehicle in the delayed state according to the starting position and the ending position;
calculating the delay time of the motor vehicle according to the delay driving distance, the delay driving speed, the delay driving time and the preset speed threshold;
the step of calculating the delay time of the motor vehicle according to the delay driving distance, the delay driving speed, the delay driving time and the preset speed threshold value comprises the following steps:
calculating the delay time of the motor vehicle according to the following formula:
wherein, TynDelay time of the nth motor vehicle in the delayed statexnFor the delayed driving time, S, of the nth motor vehicle in the delayed statenFor the delayed driving distance, V, of the nth motor vehicle in the delayed statezxThe preset speed threshold value is defined, and n is a positive integer;
and calculating the road delay time according to the motor vehicle delay time corresponding to all the motor vehicles in the delay state.
2. The method for calculating road delay time according to claim 1, wherein the calculating road delay time according to the motor vehicle delay time corresponding to all the motor vehicles in the delay state comprises:
calculating the road delay time according to the following formula:
Tyz＝∑nTyn，
wherein, TyzFor said road delay time, TynThe delay time of the motor vehicle of the nth motor vehicle in the delay state is shown, and n is a positive integer.
3. A method for determining a road congestion condition, comprising:
acquiring the number of motor vehicles running on a monitored road section;
calculating a road delay time for the monitored road segment according to the method of any one of claims 1-2;
calculating average delay time according to the road delay time and the number of the motor vehicles;
and determining the congestion condition of the monitored road section according to the relation between the average delay time and the preset average delay time.
4. The method for determining road congestion conditions according to claim 3, wherein the calculating an average delay time based on the road delay time and the number of motor vehicles comprises:
the average delay time is calculated according to the following formula:
wherein, TmFor said mean delay time, TyzAnd m is the number of the motor vehicles running on the monitored road section.
5. A road delay time calculation system, comprising:
the monitoring and judging module (1) is used for judging whether a motor car exists in a monitored road section;
the detection data generation module (2) is used for starting monitoring equipment to track and monitor each motor vehicle entering the monitored road section when the motor vehicle exists in the monitored road section;
the running speed judging module (3) is used for acquiring the running speed of the motor vehicle and judging whether the running speed of the motor vehicle is lower than a preset speed threshold value or not;
the delay state determination module (4) is used for determining that the motor vehicle is in a delay state when the running speed is lower than the preset speed threshold;
the motor vehicle delay time calculation module (5) is used for acquiring delay monitoring data of the motor vehicle in the delay state and calculating motor vehicle delay time according to the delay monitoring data; the motor vehicle delay time calculation module (5) is specifically used for acquiring the delay running speed, the start position of delay running, the end position of delay running and the delay running time of the motor vehicle in the delay state; determining a delayed driving distance of the motor vehicle in the delayed state according to the starting position and the ending position; calculating the delay time of the motor vehicle according to the delay driving distance, the delay driving speed, the delay driving time and the preset speed threshold; wherein the motor vehicle delay time is calculated according to the following formula:
wherein, TynDelay time of the nth motor vehicle in the delayed statexnFor the delayed driving time, S, of the nth motor vehicle in the delayed statenFor the delayed driving distance, V, of the nth motor vehicle in the delayed statezxThe preset speed threshold value is defined, and n is a positive integer;
and the road delay time calculation module (6) is used for calculating the road delay time according to the motor vehicle delay time corresponding to all the motor vehicles in the delay state.
6. A system for determining a road congestion condition, comprising:
the motor vehicle number acquisition module (7) is used for acquiring the number of the motor vehicles running on the monitored road section;
-a road delay time calculation module (8) for calculating a road delay time of the monitored road section according to the road delay time calculation system of claim 5;
the average delay time calculation module (9) is used for calculating average delay time according to the road delay time and the number of the motor vehicles;
and the congestion condition determining module (10) is used for determining the congestion condition of the monitored road section according to the relation between the average delay time and the preset average delay time.
7. A non-transitory computer readable storage medium storing computer instructions which, when executed by a processor, implement the road delay time calculation method according to any one of claims 1-2, or which, when executed by a processor, implement the road congestion situation determination method according to any one of claims 3-4.
8. An electronic device, comprising:
at least one processor; and
a memory communicatively coupled to the at least one processor; wherein the memory stores instructions executable by the at least one processor to cause the at least one processor to perform the method of calculating road delay time as defined in any one of claims 1-2 or to cause the at least one processor to perform the method of determining road congestion conditions as defined in any one of claims 3-4.
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| Application Number | Priority Date | Filing Date | Title |
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| CN201810653699.XA CN109003442B (en) | 2018-06-22 | 2018-06-22 | Road delay time calculation and traffic jam situation determination method and system |
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| CN201810653699.XA CN109003442B (en) | 2018-06-22 | 2018-06-22 | Road delay time calculation and traffic jam situation determination method and system |
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| CN112750300B (en) * | 2019-10-29 | 2022-09-27 | 阿波罗智联(北京)科技有限公司 | Method and device for acquiring delay index data of road intersection |
| CN113593262B (en) * | 2019-11-14 | 2022-09-27 | 北京百度网讯科技有限公司 | Traffic signal control method, traffic signal control device, computer equipment and storage medium |
| CN114373310A (en) * | 2022-01-19 | 2022-04-19 | 京东方科技集团股份有限公司 | Index data processing method and device for vehicle driving road section and electronic equipment |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101739823A (en) * | 2009-12-21 | 2010-06-16 | 浙江工业大学 | Road-section average travel time measuring method suitable for low-frequency sampling |
| CN103366574A (en) * | 2013-07-11 | 2013-10-23 | 上海济安交通工程咨询有限公司 | Method for calculating delays in intersection based on motorcade following theory |
| CN103424119A (en) * | 2012-05-17 | 2013-12-04 | 歌乐株式会社 | Navigation apparatus |
| CN104408914A (en) * | 2014-10-31 | 2015-03-11 | 重庆大学 | Signal intersection single vehicle stopping delay time estimating method and system based on GPS data |
| CN106023593A (en) * | 2016-07-26 | 2016-10-12 | 深圳市喜悦智慧数据有限公司 | Traffic congestion detection method and device |
Family Cites Families (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP5513360B2 (en) * | 2010-12-24 | 2014-06-04 | 株式会社ゼンリンデータコム | Traffic jam information generating apparatus, traffic jam information generating method, and program |
| CN103886748B (en) * | 2014-03-14 | 2015-08-26 | 浙江大学 | Road network traffic peak is formed a team recognition methods |
| CN107301774A (en) * | 2017-06-30 | 2017-10-27 | 深圳市金溢科技股份有限公司 | Congestion prediction method, system, board units and roadside unit |
| CN107240254B (en) * | 2017-08-02 | 2019-08-13 | 河北冀通慧达科技有限公司 | Traffic prediction technique and terminal device |
-
2018
- 2018-06-22 CN CN201810653699.XA patent/CN109003442B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101739823A (en) * | 2009-12-21 | 2010-06-16 | 浙江工业大学 | Road-section average travel time measuring method suitable for low-frequency sampling |
| CN103424119A (en) * | 2012-05-17 | 2013-12-04 | 歌乐株式会社 | Navigation apparatus |
| CN103366574A (en) * | 2013-07-11 | 2013-10-23 | 上海济安交通工程咨询有限公司 | Method for calculating delays in intersection based on motorcade following theory |
| CN104408914A (en) * | 2014-10-31 | 2015-03-11 | 重庆大学 | Signal intersection single vehicle stopping delay time estimating method and system based on GPS data |
| CN106023593A (en) * | 2016-07-26 | 2016-10-12 | 深圳市喜悦智慧数据有限公司 | Traffic congestion detection method and device |
Non-Patent Citations (2)
| Title |
|---|
| "基于数据共享的高速公路公安交通综合管控应用平台总体设计研究";石勇;《中国优秀硕士学位论文全文数据库（电子期刊）工程科技Ⅱ辑》;20170315;第C034-1177页，正文全文 * |
| "控制排队长度的高密度路网信号优化模型";胡晓健 等;《控制理论与应用》;20101215;第1693-1698页，正文全文 * |
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