CN111091715A - Historical recurrence rate-based road accidental congestion identification method and device - Google Patents
Historical recurrence rate-based road accidental congestion identification method and device Download PDFInfo
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Abstract
The invention provides a method and a device for identifying road occasional congestion based on historical reproduction rate, wherein the method comprises the following steps: judging whether the congestion state of the target road section is a first congestion state or not; when the congestion state of the target road section is a first congestion state, generating a first congestion influence area with a congestion degree of a first congestion degree; calculating a historical recurrence rate of the first congestion degree in the first time period of the first congestion influence zone historically; and judging whether the congestion of the first congestion degree occurring in the first congestion influence area is accidental congestion or not according to the historical reproduction rate. In the scheme, the influence of congestion on the time scale and the space scale is considered at the same time, and the accidental judgment is determined by the congestion and is not influenced by the physical structure of the road or the patrol time. The system provides accurate data support for the traffic management department, is favorable for the traffic management department to adjust service deployment in time and dredge accidental traffic jam caused by severe weather or traffic accidents and the like.
Description
Technical Field
The invention relates to a road congestion identification method, in particular to a road occasional congestion identification method and device based on a historical reproduction rate.
Background
From the traffic field, congestion is mainly divided into conventional congestion and sporadic congestion. Regular congestion refers to congestion that frequently occurs at fixed road locations over a fixed period of time, typically for structural reasons, such as: the road traffic capacity is insufficient, the traffic on the time section is large, and the like. The occasional congestion is a location which is mostly smooth at ordinary times, and due to sudden factors such as congestion caused by large traffic flow, accidents, construction, local severe weather and the like, such an event happens occasionally in urban traffic operation, and it is usually difficult for traffic management departments to perform targeted scheduling management. Therefore, occasional congestion needs to be identified in time through continuous real-time monitoring, and the influence range of the occasional congestion is predicted. The system provides accurate data support for the traffic management department, is favorable for the traffic management department to adjust service deployment in time and dredge accidental traffic jam caused by severe weather or traffic accidents and the like.
In the prior art, identification of accidental congestion is not verified on the assumption that speed distribution of a certain road section on the same type date and the same time is normal, and only the congestion state of a discrete road section is counted when the congestion degree is divided, and the influence of congestion occurrence is not considered on the aspect of spatial continuity; or when the congestion degree is divided, only the congestion state of the discrete road section at the discrete time point is counted, and the influence of congestion occurrence is not considered from the aspects of space continuity and time continuity.
Disclosure of Invention
The embodiment of the invention provides a method and a device for identifying road occasional congestion based on a historical reproduction rate, which are used for solving the problem that the influence of congestion cannot be considered from the aspects of space continuity and time continuity in the prior art so as not to provide accurate data support for a traffic management department.
In order to achieve the above object, an embodiment of the present invention provides a method for identifying road occasional congestion based on a history recurrence rate, including:
judging whether the congestion state of the target road section is a first congestion state or not;
when the congestion state of the target road section is a first congestion state, generating a first congestion influence area with the congestion degree being a first congestion degree, wherein a space range corresponding to the first congestion influence area is a road which comprises the target road section and is formed by connecting continuous or discontinuous road sections, and a time range corresponding to the first congestion influence area is a first time period when the target road section enters and continuously keeps the first congestion state;
calculating a historical recurrence rate of the first congestion degree in the first time period of the first congestion influence zone historically;
and judging whether the congestion of the first congestion degree occurring in the first congestion influence area is accidental congestion or not according to the historical reproduction rate.
Specifically, the determining whether the congestion state of the target link is a first congestion state includes:
acquiring the running speed of the vehicle on the target road section every preset period through positioning data which is continuously returned by the vehicle which is provided with the vehicle-mounted positioning device and runs on the road, and calculating the average running speed of the vehicle;
if the section where the average speed of the vehicles running on the target road section is located is within a first preset section, the congestion state of the target road section is a first congestion state;
and if the section where the average speed of the vehicles running on the road section is not in the first preset section, the congestion state of the target road section is not the first congestion state.
Specifically, the generating a first congestion influence area with a congestion degree as a first congestion degree includes:
generating a spatial extent of a first congestion impact zone including only the target road segment;
with the target road segment as a start, according to the opposite direction of the road driving direction, judging one by one whether the congestion degree of the spatial range of the first congestion influence area is kept as the first congestion degree after the road segment at the upstream of the first congestion influence area is added into the spatial range of the first congestion influence area:
if so, adding an upstream road section into the spatial range of the first congestion influence area, and continuously judging whether the congestion degree of the spatial range of the first congestion influence area is kept as the first congestion degree after a next upstream road section is added into the spatial range of the first congestion influence area;
if not, outputting the space range of the first congestion influence area which is obtained currently; and the number of the first and second groups,
generating a time range of a first congestion impact zone including only the target time;
and sequentially backtracking to the past by time by taking the target time as a start, and judging whether the spatial range of the first congestion influence area from the time to the start time keeps a first congestion degree:
if so, adding the moment into the time range of the first congestion influence area, and judging whether the target road section at the previous moment is the first congestion degree;
if not, outputting the time range of the first congestion influence zone which is obtained currently.
Specifically, the congestion degree of the first congestion influence area is calculated as follows:
calculating a first product of the length of each road section in the first congestion state in the first congestion influence area and the duration of the road section in the first congestion state in the first time period, and accumulating the first products to obtain a first sum;
calculating a second product of the total length of the road sections of the first congestion influence area and the duration of the first time period, and calculating a ratio of the first sum to the second product to obtain a first ratio;
and if the first ratio is larger than a first preset threshold, determining the congestion degree of the first congestion influence area as a first congestion degree.
Specifically, the historical reproduction rate of the historical first congestion degree in the first time period of the historical first congestion influence zone is calculated as follows:
obtaining a first number of first time periods with a first congestion degree in a plurality of first time periods historically in a first congestion influence area;
and calculating a ratio of the first number to a second number to obtain a historical reproduction rate of the first congestion degree of the first congestion influence area in the first time period historically, wherein the second number is the number of the plurality of first time periods.
Specifically, the determining, according to the historical reproduction rate, whether congestion of a first congestion degree occurring in the first congestion influence area is sporadic congestion includes:
if the historical reproduction rate is smaller than a second preset threshold, the congestion of the first congestion degree occurring in the first congestion influence area is accidental congestion;
and if the historical reproduction rate is not less than the second preset threshold, the congestion of the first congestion degree occurring in the first congestion influence area is not occasional congestion.
The embodiment of the invention also provides a road accidental congestion identification device based on the historical reproduction rate, which comprises the following steps:
the first judging module is used for judging whether the congestion state of the target road section is a first congestion state or not; the generation module is used for generating a first congestion influence area with a congestion degree of a first congestion degree when the congestion state of the target road section is the first congestion state, the space range corresponding to the first congestion influence area is a road which comprises the target road section and is formed by connecting continuous or discontinuous road sections, and the time range corresponding to the first congestion influence area is a first time period when the target road section enters and continuously keeps the first congestion state;
the calculation module is used for calculating the historical reproduction rate of the first congestion degree in the first time period of the first congestion influence area historically;
and the second judging module is used for judging whether the congestion of the first congestion degree occurring in the first congestion influence area is accidental congestion or not according to the historical reproduction rate.
Specifically, the determining, by the first determining module, whether the congestion state of the target link is a first congestion state includes:
acquiring the running speed of the vehicle on the target road section every preset period through positioning data which is continuously returned by the vehicle which is provided with the vehicle-mounted positioning device and runs on the road, and calculating the average running speed of the vehicle;
when the section where the average speed of the vehicles running on the target road section is located is within a first preset section, judging that the congestion state of the target road section is a first congestion state;
and when the section where the average speed of the vehicles running on the road section is not in the first preset section, judging that the congestion state of the target road section is not the first congestion state.
Specifically, the generating module generates a first congestion influence area with a congestion degree as a first congestion degree, and includes:
generating a spatial extent of a first congestion impact zone including only the target road segment;
with the target road segment as a start, according to the opposite direction of the road driving direction, judging one by one whether the congestion degree of the spatial range of the first congestion influence area is kept as the first congestion degree after the upstream road segment of the first congestion influence area is added into the spatial range of the first congestion influence area:
if so, adding an upstream road section into the spatial range of the first congestion influence area, and continuously judging whether the congestion degree of the spatial range of the first congestion influence area is kept as the first congestion degree after a next upstream road section is added into the spatial range of the first congestion influence area;
if not, outputting the space range of the first congestion influence area which is obtained currently; and the number of the first and second groups,
generating a time range of a first congestion impact zone including only the target time;
and sequentially backtracking to the past by time by taking the target time as a start, and judging whether the spatial range of the first congestion influence area from the time to the start time keeps a first congestion degree:
if so, adding the moment into the time range of the first congestion influence area, and judging whether the target road section at the previous moment is the first congestion degree;
if not, outputting the time range of the first congestion influence zone which is obtained currently.
Specifically, the second determining module determines whether congestion of a first congestion degree occurring in the first congestion influence area is sporadic congestion, and includes:
when the historical reproduction rate is smaller than a second preset threshold, judging that the congestion of the first congestion degree occurring in the first congestion influence area is accidental congestion;
and when the historical reproduction rate is not less than the second preset threshold, judging that the congestion of the first congestion degree occurring in the first congestion influence area is not accidental congestion.
The embodiment of the invention has the beneficial effects that:
according to the road accidental identification method, the vehicle-mounted positioning device is installed, positioning data continuously returned by vehicles running on a road are integrated to obtain the speed of the target road section, the congestion state of the target road section is judged, the congestion degree is judged according to the congestion state, a congestion influence area is generated, and finally whether congestion occurring in the congestion influence area is accidental congestion or not is judged through comparison with historical data. The influence of congestion on time and space scales is considered, and the congestion condition of one road section or a plurality of road sections or even the road sections in one area in continuous time periods or any time combination is integrally evaluated; according to the actual traffic running condition, the congestion influence area is calculated and obtained in time and space according to the topological connection relation, the calculation principle is simple, the time and space scale expansion is convenient, and the microcosmic and macroscopic levels can keep consistency; the main threshold parameter, the preset interval and the threshold parameter can be carried out through field observation and long-term data accumulation without subjective assumption presetting, and accidental judgment is only caused by congestion, but not due to the influence of traffic environment or work and rest changes of travelers. The system provides accurate data support for the traffic management department, is favorable for the traffic management department to adjust service deployment in time and dredge accidental traffic jam caused by severe weather or traffic accidents and the like.
Drawings
FIG. 1 is a schematic diagram illustrating steps of a method for identifying road occasional congestion based on historical reproduction rate according to an embodiment of the present invention;
fig. 2 is a schematic diagram of a road occasional congestion identification device based on historical reproduction rate according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention will be described in detail with reference to the accompanying drawings and specific embodiments.
The invention provides a road accidental congestion identification method and device based on a historical reproduction rate, aiming at the problem that the influence of congestion occurrence is not considered from the aspects of space continuity and time continuity in the prior art, and accurate data support cannot be provided for a traffic management department.
Referring to fig. 1, an embodiment of the present invention provides a method for identifying road occasional congestion based on a history recurrence rate, including:
The road section refers to a non-branching curve which can be used for the traffic participants to drive, and is an inseparable minimum line unit in the electronic map. The target road segment may be any road segment that needs to be observed, for example, a certain road segment that the user focuses on is taken as the target road segment.
In the embodiment of the invention, a congestion influence area is determined by taking a target road section as an initial road section. The first congestion state may be determined according to a speed interval in which the average speed of the vehicle on the road section is obtained through statistics. For example, the correspondence between a plurality of speed sections and the congestion state is set in advance, and then the congestion state of the target link is determined according to the section in which the average speed of the target link is located.
Specifically, the congestion state may be various, such as light congestion, medium congestion, severe congestion, and the like.
The congestion state corresponding to the first congestion degree can be light congestion, medium congestion and severe congestion.
For example, if a certain target road segment in beijing city enters a first congestion state from 17:30 and keeps the first congestion state until 18:30, it may be determined that the first time period corresponding to the target road segment is 17:30-18: 30; or a certain target link enters the first congestion state from 7:00 and keeps the first congestion state till 9:00, and enters the first congestion state from 17:00 and keeps the first congestion state till 19:00, and then the first time period corresponding to the target link is 7:00-9:00 and 17:00-19: 00.
Here, the embodiment of the present invention may determine the historical first time period according to a preset time period.
For example, with the period of natural days, when the first time period is 17:30-18:30 of a certain natural day (assumed to be 11/21/2019), the historical first time period may be 17:30-18:30 of each natural day before 11/21/2019.
With a week cycle, the historical first time period may be 17:30-18:30 for each thursday before 11/21/2019 when the first time period is 17:30-18:30 for a certain natural day (assume 11/21/2019, thursday).
With the working day as the cycle, when the first time period is 17:30-18:30 of a certain natural day (assuming 11/21/2019, thursday, working day), the historical first time period may be 17:30-18:30 of each working day before 11/21/2019.
Embodiments of the present invention are not limited to the above examples. The historical first time period may be flexibly determined based on the time attribute of the first time period.
The invention considers the congestion influence on time and space scales, and carries out integral evaluation on the congestion condition of one or more road sections or even the road sections in one area in continuous time periods or any time combination; according to the actual traffic running condition, the congestion influence area is calculated and obtained in time and space according to the topological connection relation, the calculation principle is simple, the time and space scale expansion is convenient, and the microcosmic and macroscopic levels can keep consistency; the judgment of the accident is only caused by the congestion itself, and is not caused by the influence of the change of the traffic environment or the work and rest of the travelers.
Specifically, the step 100 may include:
step 101, acquiring the running speed of the vehicle at the target road section every preset period through positioning data which is continuously returned by the vehicle which is provided with a vehicle-mounted positioning device and runs on the road, and calculating the running average speed of the vehicle;
for example, the speed of the vehicle running at every 2 minutes on the target road is acquired through the GPS data of the taxi or the bus, and the average speed of the vehicle running is obtained.
Step 102, if the section where the average speed of the vehicle running on the target road section is located is within a first preset section, the congestion state of the target road section is a first congestion state;
and if the section where the average speed of the vehicles running on the road section is not in the first preset section, the congestion state of the target road section is not the first congestion state.
Different first preset interval values correspond to different congestion states, for example, if the first preset interval corresponding to severe congestion is 0-20 km/h, and the first preset interval corresponding to moderate congestion is 20 km/h-30 km/h. When the interval of the average speed of the vehicle running on the target road section is 0-20 km/h, the congestion state of the target road section is serious congestion, and when the interval of the average speed of the vehicle running on the target road section is not 0-20 km/h, the congestion state of the target road section is not serious congestion; if the first preset section corresponding to the moderate congestion is 20 km/h-30 km/h, when the section where the average speed of the vehicles on the target road section is located is 20 km/h-30 km/h, the congestion state of the target road section is the moderate congestion, and when the section where the average speed of the vehicles on the target road section is not 20 km/h-30 km/h, the congestion state of the target road section is not the moderate congestion.
Embodiments of the present invention are not limited to the above examples. The first preset interval can be flexibly determined according to the actual traffic condition.
The main threshold parameter, the preset interval and the threshold parameter of the invention can be carried out by field observation and long-term data accumulation without subjective assumed presetting, and the accidental judgment is only caused by congestion, but not because of the influence of traffic environment or the work and rest change of travelers.
Specifically, the step 200 may include:
step 201, generating a spatial range of a first congestion influence area only including the target road segment; and generating a time range for the first congestion impact zone including only the target time;
step 202, starting from the target road segment, and according to the opposite direction of the road driving direction, determining one by one whether the congestion degree of the spatial range of the first congestion influence area is maintained as the first congestion degree after the upstream road segment of the first congestion influence area is added into the spatial range of the first congestion influence area:
if so, adding an upstream road section into the spatial range of the first congestion influence area, and continuously judging whether the congestion degree of the spatial range of the first congestion influence area is kept as the first congestion degree after a next upstream road section is added into the spatial range of the first congestion influence area;
if not, outputting the space range of the first congestion influence area which is obtained currently;
step 203, taking the target time as a start, sequentially backtracking to the past by time, and judging whether the spatial range of the first congestion influence area from the time to the start time keeps the first congestion degree:
if so, adding the moment into the time range of the first congestion influence area, and judging whether the target road section at the previous moment is the first congestion degree;
if not, outputting the time range of the first congestion influence zone which is obtained currently.
For example, a certain road section of the west-three roads in beijing is in severe congestion, a first congestion influence area only containing the road section is generated, then a second road section which is upstream of the first congestion influence area is added into the first congestion influence area according to the direction opposite to the road driving direction, if the congestion degree of the first congestion influence area after the addition is no longer in severe congestion, the first congestion influence area which is not added into the second road section is output, if the congestion degree is still maintained after the addition, a third road section which is upstream of the second road section is continuously added until the N road section which is added enables the first congestion influence area not to be in severe congestion, and the first congestion influence area which is not added into the N road section is output (wherein N =1, 2, 3 ….).
According to the invention, the congestion influence area is calculated and obtained in time and space according to the topological connection relation according to the actual traffic running condition, the calculation principle is simple, the expansion in time and space scales is convenient, and the consistency can be kept on the micro and macro levels.
Specifically, the congestion degree of the first congestion influence area is calculated as follows:
calculating a first product of the length of each road section in the first congestion state in the first congestion influence area and the duration of the road section in the first congestion state in the first time period, and accumulating the first products to obtain a first sum;
and calculating a second product of the total length of the road sections of the first congestion influence area and the duration of the first time period, and calculating a ratio of the first sum to the second product to obtain a first ratio.
For example, a total of i road segments in the first congestion influence area are at a first congestion level, and each road segment corresponds to a length liDuration t of first congestion level corresponding to each linkiIf the total length of all road segments in the first congestion influence area is L, and the duration of the first time period is T, a first ratio =
。
And if the first ratio is larger than a first preset threshold, determining the congestion degree of the first congestion influence area as a first congestion degree.
For example, the first preset threshold is 80%, and if the first ratio is greater than 80%, the congestion degree of the first congestion influence area is a first congestion degree.
The invention considers the congestion influence on time and space scales, has simple overall evaluation and calculation principle on the congestion condition of one or more road sections or even one road section in an area in continuous time periods or any time combination, is convenient to expand on the time and space scales, and can keep consistency on the micro and macro levels.
Specifically, the step 300 may include:
step 301, acquiring a first number of first time periods with a first congestion degree in a plurality of first time periods historically in a first congestion influence area;
acquiring congestion state data of a plurality of dates of the same type in a first congestion influence area historical database, and determining the number of days of which the congestion degree is the first congestion degree in the dates of the same type;
step 302, calculating a ratio of a first quantity to a second quantity to obtain a historical reproduction rate of the first congestion degree of the first congestion influence area in a first time period in history, wherein the second quantity is the quantity of the plurality of first time periods;
historically, a first proportion of the first congestion level in a first time period of a first congestion zone = number of days on a first date of the same type on which the zone congestion level is a first congestion level ÷ number of days on a plurality of dates of the same type in the database × 100%.
Here, the same type of date includes dates on which the restriction situation, holiday, or weather situation is the same. Taking a traffic control situation as an example, if the first congestion influence area is severely congested in a 17:30-18:30 period when the traffic control is performed at the tail numbers of 1 and 6, the date of the same type can be a day of any one of the tail numbers of 1 and 6 in the history, congestion state data in a 17:30-18:30 period when N past tail numbers of 1 and 6 are restricted in the database is obtained, and if N days in the N days are severely congested in the 17:30-18:30 period, the historical reproduction rate is (N/N) multiplied by 100%;
taking holidays as an example, if the first congestion influence area is severely congested in a period of 18:00-19:30 saturday, the date of the same type may be any historical day of saturday, congestion state data of N past saturday periods of 18:00-19:30 are obtained in the database, and if N days in N days are severely congested in a period of 18:00-19:30, the historical recurrence rate is (N/N) multiplied by 100%;
taking a weather condition as an example, if the first congestion influence area is severely congested in the period of 17:30-18:30 when the first congestion influence area is restricted by the tail numbers 1 and 6 and snows, the date of the same type can be any one of days which are snowed historically, congestion state data of N past tail numbers 1 and 6 in the database are acquired, the period of 17:30-18:30 when the first congestion influence area is snowed, and if N days are severely congested in the period of 17:30-18:30 in N days, the historical recurrence rate is (N/N) multiplied by 100%.
Specifically, the step 400 may include:
if the historical reproduction rate is smaller than a second preset threshold, the congestion of the first congestion degree occurring in the first congestion influence area is accidental congestion;
and if the historical reproduction rate is not less than the second preset threshold, the congestion of the first congestion degree occurring in the first congestion influence area is not occasional congestion.
For example, if the second preset threshold is 20%, and if the historical reproduction rate is less than 20%, the severe congestion occurring in the first congestion influence area is an occasional congestion.
The invention considers the congestion influence on time and space scales, and carries out integral evaluation on the congestion condition of one or more road sections or even the road sections in one area in continuous time periods or any time combination; according to the actual traffic running condition, the congestion influence area is calculated and obtained in time and space according to the topological connection relation, the calculation principle is simple, the time and space scale expansion is convenient, and the microcosmic and macroscopic levels can keep consistency; the main threshold parameter, the preset interval and the threshold parameter can be carried out through field observation and long-term data accumulation without subjective assumption presetting, and accidental judgment is only caused by congestion, but not due to the influence of traffic environment or work and rest changes of travelers.
As shown in fig. 2, an embodiment of the present invention further provides a device for identifying road occasional congestion based on historical reproduction rate, including:
the first judging module 10 is configured to judge whether the congestion state of the target road segment is a first congestion state;
the road section refers to a non-branching curve which can be used for the traffic participants to drive, and is an inseparable minimum line unit in the electronic map. The target road segment may be any road segment that needs to be observed, for example, a certain road segment that the user focuses on is taken as the target road segment.
In the embodiment of the invention, a congestion influence area is determined by taking a target road section as an initial road section. The first congestion state may be determined according to a speed interval in which the average speed of the vehicle on the road section is obtained through statistics. For example, the correspondence between a plurality of speed sections and the congestion state is set in advance, and then the congestion state of the target link is determined according to the section in which the average speed of the target link is located.
Specifically, the congestion state may be various, such as light congestion, medium congestion, severe congestion, and the like. The main threshold parameters, preset intervals and threshold parameters can be performed by field observation and long-term data accumulation without subjective assumption presetting.
The generating module 20 is configured to generate a first congestion influence area with a congestion degree being a first congestion degree when the congestion state of the target road segment is a first congestion state, where a spatial range corresponding to the first congestion influence area is a road formed by connecting continuous or discontinuous road segments including the target road segment, and a time range corresponding to the first congestion influence area is a first time period during which the target road segment enters and the first congestion state is continuously maintained;
for example, if a certain target road segment in beijing city enters a first congestion state from 17:30 and keeps the first congestion state until 18:30, it may be determined that the first time period corresponding to the target road segment is 17:30-18: 30; or a certain target link enters the first congestion state from 7:00 and keeps the first congestion state till 9:00, and enters the first congestion state from 17:00 and keeps the first congestion state till 19:00, and then the first time period corresponding to the target link is 7:00-9:00 and 17:00-19: 00.
Meanwhile, the influence of congestion on time and space scales is considered, and the congestion condition of one road section or a plurality of road sections or even the road sections in one area in continuous time periods or any time combination is integrally evaluated.
A calculating module 30, configured to calculate a historical reproduction rate of the first congestion degree in the first time period of the first congestion influence area historically;
here, the embodiment of the present invention may determine the historical first time period according to a preset time period.
For example, with the period of natural days, when the first time period is 17:30-18:30 of a certain natural day (assumed to be 11/21/2019), the historical first time period may be 17:30-18:30 of each natural day before 11/21/2019.
With a week cycle, the historical first time period may be 17:30-18:30 for each thursday before 11/21/2019 when the first time period is 17:30-18:30 for a certain natural day (assume 11/21/2019, thursday).
With the working day as the cycle, when the first time period is 17:30-18:30 of a certain natural day (assuming 11/21/2019, thursday, working day), the historical first time period may be 17:30-18:30 of each working day before 11/21/2019.
Embodiments of the present invention are not limited to the above examples. The historical first time period may be flexibly determined based on the time attribute of the first time period.
According to the actual traffic running condition, the congestion influence area is calculated and obtained in time and space according to the topological connection relation, and the calculation principle is simple; the main threshold parameter, the preset interval and the threshold parameter can be carried out through field observation and long-term data accumulation, and accidental judgment is only caused by congestion, but not due to the influence of traffic environment or work and rest change of travelers.
And the second judging module 40 is configured to judge whether the congestion of the first congestion degree occurring in the first congestion influence area is accidental congestion according to the historical reproduction rate.
The invention considers the congestion influence on time and space scales, and carries out integral evaluation on the congestion condition of one or more road sections or even the road sections in one area in continuous time periods or any time combination; according to the actual traffic running condition, the congestion influence area is calculated and obtained in time and space according to the topological connection relation, the calculation principle is simple, the time and space scale expansion is convenient, and the microcosmic and macroscopic levels can keep consistency; the main threshold parameter, the preset interval and the threshold parameter can be carried out through field observation and long-term data accumulation without subjective assumption presetting, and accidental judgment is only caused by congestion, but not due to the influence of traffic environment or work and rest changes of travelers. The system provides accurate data support for the traffic management department, is favorable for the traffic management department to adjust service deployment in time and dredge accidental traffic jam caused by severe weather or traffic accidents and the like.
Specifically, the first determining module 10 is further configured to:
acquiring the running speed of the vehicle on the target road section every preset period through positioning data which is continuously returned by the vehicle which is provided with the vehicle-mounted positioning device and runs on the road, and calculating the average running speed of the vehicle;
if the section where the average speed of the vehicles running on the target road section is located is within a first preset section, the congestion state of the target road section is a first congestion state;
for example, the speed of the vehicle running at every 2 minutes on the target road is acquired through the GPS data of the taxi or the bus, and the average speed of the vehicle running is obtained.
If the section where the average speed of the vehicles running on the road section is not in the first preset section, the congestion state of the target road section is not the first congestion state;
different first preset interval values correspond to different congestion states, for example, if the first preset interval corresponding to severe congestion is 0-20 km/h, and the first preset interval corresponding to moderate congestion is 20 km/h-30 km/h. When the interval of the average speed of the vehicle running on the target road section is 0-20 km/h, the congestion state of the target road section is serious congestion, and when the interval of the average speed of the vehicle running on the target road section is not 0-20 km/h, the congestion state of the target road section is not serious congestion; if the first preset section corresponding to the moderate congestion is 20 km/h-30 km/h, when the section where the average speed of the vehicles on the target road section is located is 20 km/h-30 km/h, the congestion state of the target road section is the moderate congestion, and when the section where the average speed of the vehicles on the target road section is not 20 km/h-30 km/h, the congestion state of the target road section is not the moderate congestion.
Specifically, the generating module 20 is further configured to:
generating a spatial extent of a first congestion impact zone including only the target road segment; and generating a time range for the first congestion impact zone including only the target time;
with the target road segment as a start, according to the opposite direction of the road driving direction, judging one by one whether the congestion degree of the spatial range of the first congestion influence area is kept as the first congestion degree after the upstream road segment of the first congestion influence area is added into the spatial range of the first congestion influence area:
if so, adding an upstream road section into the spatial range of the first congestion influence area, and continuously judging whether the congestion degree of the spatial range of the first congestion influence area is kept as the first congestion degree after a next upstream road section is added into the spatial range of the first congestion influence area;
if not, outputting the space range of the first congestion influence area which is obtained currently; and the number of the first and second groups,
generating a time range of a first congestion impact zone including only the target time;
and sequentially backtracking to the past by time by taking the target time as a start, and judging whether the spatial range of the first congestion influence area from the time to the start time keeps a first congestion degree:
if so, adding the moment into the time range of the first congestion influence area, and judging whether the target road section at the previous moment is the first congestion degree;
if not, outputting the time range of the first congestion influence zone which is obtained currently.
For example, a certain road section of the west-three roads in beijing is in severe congestion, a first congestion influence area only containing the road section is generated, then a second road section which is upstream of the first congestion influence area is added into the first congestion influence area according to the direction opposite to the road driving direction, if the congestion degree of the first congestion influence area after the addition is no longer in severe congestion, the first congestion influence area which is not added into the second road section is output, if the congestion degree is still maintained after the addition, a third road section which is upstream of the second road section is continuously added until the N road section which is added enables the first congestion influence area not to be in severe congestion, and the first congestion influence area which is not added into the N road section is output (wherein N =1, 2, 3 ….).
According to the invention, the congestion influence area is calculated and obtained in time and space according to the topological connection relation according to the actual traffic running condition, the calculation principle is simple, the expansion in time and space scales is convenient, and the consistency can be kept on the micro and macro levels.
Specifically, the congestion degree of the first congestion influence area is calculated as follows:
calculating a first product of the length of each road section in the first congestion state in the first congestion influence area and the duration of the road section in the first congestion state in the first time period, and accumulating the first products to obtain a first sum;
and calculating a second product of the total length of the road sections of the first congestion influence area and the duration of the first time period, and calculating a ratio of the first sum to the second product to obtain a first ratio.
For example, a total of i road segments in the first congestion influence area are at a first congestion level, and each road segment corresponds to a length liDuration t of first congestion level corresponding to each linkiIf the total length of all road segments in the first congestion influence area is L, and the duration of the first time period is T, a first ratio =
。
And if the first ratio is larger than a first preset threshold, determining the congestion degree of the first congestion influence area as a first congestion degree.
For example, the first preset threshold is 80%, and if the first ratio is greater than 80%, the congestion degree of the first congestion influence area is a first congestion degree.
Specifically, the second determining module 40 is further configured to:
when the historical reproduction rate is smaller than a second preset threshold, judging that the congestion of the first congestion degree occurring in the first congestion influence area is accidental congestion;
and when the historical reproduction rate is not less than the second preset threshold, judging that the congestion of the first congestion degree occurring in the first congestion influence area is not accidental congestion.
For example, if the second preset threshold is 20%, and if the historical reproduction rate is less than 20%, the severe congestion occurring in the first congestion influence area is an occasional congestion.
According to the road accidental identification method, the vehicle-mounted positioning device is installed, positioning data continuously returned by vehicles running on a road are integrated to obtain the speed of the target road section, the congestion state of the target road section is judged, the congestion degree is judged according to the congestion state, a congestion influence area is generated, and finally whether congestion occurring in the congestion influence area is accidental congestion or not is judged through comparison with historical data. The influence of congestion on time and space scales is considered, and the congestion condition of one road section or a plurality of road sections or even the road sections in one area in continuous time periods or any time combination is integrally evaluated; according to the actual traffic running condition, the congestion influence area is calculated and obtained in time and space according to the topological connection relation, the calculation principle is simple, the time and space scale expansion is convenient, and the microcosmic and macroscopic levels can keep consistency; the main threshold parameter, the preset interval and the threshold parameter can be carried out through field observation and long-term data accumulation without subjective assumption presetting, and accidental judgment is only caused by congestion, but not due to the influence of traffic environment or work and rest changes of travelers. The system provides accurate data support for the traffic management department, is favorable for the traffic management department to adjust service deployment in time and dredge accidental traffic jam caused by severe weather or traffic accidents and the like.
While the preferred embodiments of the present invention have been described, it will be understood by those skilled in the art that various changes and modifications may be made without departing from the spirit and scope of the invention as defined in the following claims.
Claims (10)
1. A road accidental congestion identification method based on historical reproduction rate is characterized by comprising the following steps:
judging whether the congestion state of the target road section is a first congestion state or not;
when the congestion state of the target road section is a first congestion state, generating a first congestion influence area with the congestion degree being a first congestion degree, wherein a space range corresponding to the first congestion influence area is a road which comprises the target road section and is formed by connecting continuous or discontinuous road sections, and a time range corresponding to the first congestion influence area is a first time period when the target road section enters and continuously keeps the first congestion state;
calculating a historical recurrence rate of the first congestion degree in the first time period of the first congestion influence zone historically;
and judging whether the congestion of the first congestion degree occurring in the first congestion influence area is accidental congestion or not according to the historical reproduction rate.
2. The method for identifying road occasional congestion based on historical reproduction rate as claimed in claim 1, wherein the determining whether the congestion state of the target road segment is the first congestion state comprises:
acquiring the running speed of the vehicle on the target road section every preset period through positioning data which is continuously returned by the vehicle which is provided with the vehicle-mounted positioning device and runs on the road, and calculating the average running speed of the vehicle;
if the section where the average speed of the vehicles running on the target road section is located is within a first preset section, the congestion state of the target road section is a first congestion state;
and if the section where the average speed of the vehicles running on the road section is not in the first preset section, the congestion state of the target road section is not the first congestion state.
3. The method for identifying road occasional congestion based on historical reproduction rate as claimed in claim 1, wherein the generating a first congestion influence area with a congestion degree of a first congestion degree comprises:
generating a spatial extent of a first congestion impact zone including only the target road segment;
with the target road segment as a start, according to the opposite direction of the road driving direction, judging one by one whether the congestion degree of the spatial range of the first congestion influence area is kept as the first congestion degree after the upstream road segment of the first congestion influence area is added into the spatial range of the first congestion influence area:
if so, adding an upstream road section into the spatial range of the first congestion influence area, and continuously judging whether the congestion degree of the spatial range of the first congestion influence area is kept as the first congestion degree after a next upstream road section is added into the spatial range of the first congestion influence area;
if not, outputting the space range of the first congestion influence area which is obtained currently; and the number of the first and second groups,
generating a time range of a first congestion impact zone including only the target time;
and sequentially backtracking to the past by time by taking the target time as a start, and judging whether the spatial range of the first congestion influence area from the time to the start time keeps a first congestion degree:
if so, adding the moment into the time range of the first congestion influence area, and judging whether the target road section at the previous moment is the first congestion degree;
if not, outputting the time range of the first congestion influence zone which is obtained currently.
4. The method for identifying road occasional congestion based on historical reproduction rate as claimed in claim 3, wherein the congestion degree of the first congestion influence zone is calculated as follows:
calculating a first product of the length of each road section in the first congestion state in the first congestion influence area and the duration of the road section in the first congestion state in the first time period, and accumulating the first products to obtain a first sum;
calculating a second product of the total length of the road sections of the first congestion influence area and the duration of the first time period, and calculating a ratio of the first sum to the second product to obtain a first ratio;
and if the first ratio is larger than a first preset threshold, determining the congestion degree of the first congestion influence area as a first congestion degree.
5. The method for identifying road occasional congestion based on historical reproduction rate as claimed in claim 1, wherein the historical reproduction rate at the first congestion degree in the first time segment of the historical first congestion influence zone is calculated as follows:
obtaining a first number of first time periods with a first congestion degree in a plurality of first time periods historically in a first congestion influence area;
and calculating a ratio of the first number to a second number to obtain a historical reproduction rate of the first congestion degree of the first congestion influence area in the first time period historically, wherein the second number is the number of the plurality of first time periods.
6. The method for identifying road sporadic congestion based on historical reproduction rate as claimed in claim 1, wherein said determining whether the congestion of the first congestion degree occurring in the first congestion influence area is sporadic congestion or not according to the historical reproduction rate comprises:
if the historical reproduction rate is smaller than a second preset threshold, the congestion of the first congestion degree occurring in the first congestion influence area is accidental congestion;
and if the historical reproduction rate is not less than the second preset threshold, the congestion of the first congestion degree occurring in the first congestion influence area is not occasional congestion.
7. An apparatus for identifying road occasional congestion based on historical reproduction rate, comprising:
the first judging module is used for judging whether the congestion state of the target road section is a first congestion state or not;
the generation module is used for generating a first congestion influence area with a congestion degree of a first congestion degree when the congestion state of the target road section is the first congestion state, the space range corresponding to the first congestion influence area is a road which comprises the target road section and is formed by connecting continuous or discontinuous road sections, and the time range corresponding to the first congestion influence area is a first time period when the target road section enters and continuously keeps the first congestion state;
the calculation module is used for calculating the historical reproduction rate of the first congestion degree in the first time period of the first congestion influence area historically;
and the second judging module is used for judging whether the congestion of the first congestion degree occurring in the first congestion influence area is accidental congestion or not according to the historical reproduction rate.
8. The apparatus for identifying road occasional congestion based on historical reproduction rate as claimed in claim 7, wherein the first determining module is further configured to:
acquiring the running speed of the vehicle on the target road section every preset period through positioning data which is continuously returned by the vehicle which is provided with the vehicle-mounted positioning device and runs on the road, and calculating the average running speed of the vehicle; if the section where the average speed of the vehicles running on the target road section is located is within a first preset section, the congestion state of the target road section is a first congestion state; and if the section where the average speed of the vehicles running on the road section is not in the first preset section, the congestion state of the target road section is not the first congestion state.
9. The apparatus for identifying road occasional congestion based on historical reproduction rate as claimed in claim 7, wherein the generating module is further configured to:
generating a spatial extent of a first congestion impact zone including only the target road segment;
with the target road segment as a start, according to the opposite direction of the road driving direction, judging one by one whether the congestion degree of the spatial range of the first congestion influence area is kept as the first congestion degree after the upstream road segment of the first congestion influence area is added into the spatial range of the first congestion influence area:
if so, adding an upstream road section into the spatial range of the first congestion influence area, and continuously judging whether the congestion degree of the spatial range of the first congestion influence area is kept as the first congestion degree after a next upstream road section is added into the spatial range of the first congestion influence area;
if not, outputting the space range of the first congestion influence area which is obtained currently; and the number of the first and second groups,
generating a time range of a first congestion impact zone including only the target time;
and sequentially backtracking to the past by time by taking the target time as a start, and judging whether the spatial range of the first congestion influence area from the time to the start time keeps a first congestion degree:
if so, adding the moment into the time range of the first congestion influence area, and judging whether the target road section at the previous moment is the first congestion degree;
if not, outputting the time range of the first congestion influence zone which is obtained currently.
10. The apparatus for identifying road occasional congestion based on historical reproduction rate as claimed in claim 7, wherein the second determining module is further configured to:
when the historical reproduction rate is smaller than a second preset threshold, judging that the congestion of the first congestion degree occurring in the first congestion influence area is accidental congestion; and when the historical reproduction rate is not less than the second preset threshold, judging that the congestion of the first congestion degree occurring in the first congestion influence area is not accidental congestion.
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