CN110379169B - Saturated headway calculation method for lane to be transferred based on video number plate equipment - Google Patents
Saturated headway calculation method for lane to be transferred based on video number plate equipment Download PDFInfo
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Abstract
The invention provides a saturated headway calculation method for a lane to be turned based on video number plate equipment, which is characterized in that the lane to be turned is identified by adopting intersection characteristic information, vehicle passing data identified by the video number plate equipment within set time is extracted, and headways of all vehicles in the path of the lane of an intersection are integrated; grouping to obtain a plurality of headway groups; determining a saturated vehicle S and an unsaturated vehicle U according to the headway value; corresponding each saturated headway group to a unit time period; and solving the saturated headway of each unit time interval, and further solving the saturated headway within the set time. Aiming at the problem that the saturated headway time interval does not consider the lane to-be-switched area at the present stage, when the saturated headway time interval is extracted and analyzed, a reasonable saturated headway time interval analysis range is automatically screened according to the characteristic information of the lane to-be-switched area, the accuracy of the saturated headway time interval screening range is improved, and the accuracy of the saturated headway time interval is improved.
Description
Technical Field
The invention relates to a saturated headway calculation method for a lane to be transferred based on video number plate equipment.
Background
The headway is a key parameter for road research, the lane-level headway can acquire the saturated flow of a corresponding lane, a reference value with practical significance is provided for road traffic design and management, and good data support is provided for intersection signal lamp timing optimization. Therefore, the acquisition of the saturated headway has important significance in traffic management and control research.
At present, the acquisition of the saturated headway is obtained by artificial statistical screening and then a fitting algorithm or cluster analysis. This kind of manual observation consumes a large amount of manpower and materials, simultaneously to there being the lane of waiting to turn the district, need to treat the locomotive time interval of turning the district vehicle one by one and reject, consequently the intelligent computational analysis of lane level saturation locomotive time interval is carried out to the road junction that exists waiting to turn the district suddenly.
Chinese patent CN 201710124151.1 proposes a method for estimating the intersection real-time saturated flow rate based on hidden Markov chain, which divides the headway into an acceleration state, a stable state, a deceleration state and a non-stop driving state, and further utilizes a hidden Markov chain model to calculate the average saturated headway; patent CN 201110371621.7 proposes a "saturated flow rate determination method", which obtains a head time distance saturated flow rate value according to pulse data output by a detector. The Chinese patent CN 201110371621.7 utilizes a pulse counter to obtain the time headway of a vehicle, and along with the large-scale application of intelligent equipment such as an electric police/gate and the like and the development of a number plate automatic identification technology, the time headway of a vehicle at a crossing can be automatically obtained by the vehicle passing record of the electric police/gate at present; patent 201710124151.1 finds the saturation flow rate according to the headway of green time, and still needs to manually screen the headway. On the other hand, although both patents analyze and calculate the saturated headway, the two patents do not consider the situation that the lane has the waiting zone.
Disclosure of Invention
The invention aims to provide a method for calculating saturated headway of a lane to be transferred based on video number plate equipment, which solves the problems of manual screening of headway, no consideration of the condition of the lane to be transferred and large error in the prior art.
Interpretation of terms:
headway (time headway): in a train of vehicles travelling on the same lane, the head ends of two consecutive vehicles pass through a time interval of a certain section. The unit s/Veh is generally denoted by ht. The average headway may be calculated as follows: the average headway is the average headway/average vehicle speed. In general, the shortest headway is about 2 s.
Space headway (space headway): in a fleet of vehicles traveling in the same direction on a roadway, the spacing between adjacent vehicles is typically measured by a representative point on the vehicle, such as a front bumper or front wheel.
Saturation headway: observing a stable fleet of vehicles to obtain a constant headway is called a saturated headway, i.e., saturated headway and saturated traffic flow 3600
The technical solution of the invention is as follows:
a saturated headway calculation method for a lane to be transferred based on video number plate equipment comprises the following steps,
s1, recognizing lanes in a to-be-transferred area by adopting intersection characteristic information, extracting vehicle passing data recognized by video number plate equipment within set time, performing time stamp processing by adopting a set unit, and further integrating according to time stamps to obtain the head time distances of all vehicles in the path of the lanes of the intersection;
s2, grouping the vehicle passing records based on the vehicle passing record headway time sequence to obtain a plurality of headway groups;
s3, screening a saturated headway number plate range based on the passing vehicles in the headway group and the minimum sample size, and determining saturated vehicles S and unsaturated vehicles U according to the headway number;
s4, extracting the vehicle passing record of the saturated headway S, and corresponding each saturated headway group to a unit time period, namely dividing the vehicle passing record time of the vehicle in the saturated headway group to the corresponding unit time period within a set time according to the vehicle passing record time of the vehicle in the saturated headway group;
and S5, solving the saturated headway of each unit time interval, and further solving the saturated headway within the set time.
Further, in step S2, the passing records are grouped based on the time sequence of the time headway of the passing records to obtain a plurality of time headway groups, specifically,
s21, if the time headway of the vehicle of the number plate i is larger than the discontinuous flow threshold value, the default is that the interval between the vehicle i and the vehicle i-1 is large, no saturation condition exists, the vehicle i is divided into the next time headway group, and otherwise, the time headway of the vehicle of the number plate i is divided into the current group;
and S22, dividing the current passing vehicle record into a plurality of headway groups according to the headway numerical value.
Further, in step S3, specifically,
s31, if the vehicle passing amount N in the vehicle headway group is less than or equal to the minimum sample amount N, rejecting the vehicle headway group, directly jumping to the next vehicle headway group data as the saturated vehicle headway calculated amount, otherwise determining the screening saturated vehicle headway number plate range of the vehicle headway group:
[n-nin+1，N-nIn+1]
In the formula, N is the number of the number plates in the group; n is the minimum sample size of the lane, and an integer is taken, namely: n is nChinese forget+nIn+1, wherein nChinese forgetIn order to ignore the number of vehicles, the lane characteristic information is obtained based on the intersection, namely:
l is the length of the area to be turned of the lane at the intersection,
is the average lane spacing; n isInAcquiring an interruption sample amount for the saturated headway, namely the times that the headway which is continuously decreased after an integer is taken in the group is interrupted by the headway abnormal value;
s32, classifying the non-saturated headway and the saturated headway of the number plate range extracted by screening based on the headway data value and the saturated headway interruption sample amount;
and S33, integrating the saturated headway of each group.
Further, in step S32, the unsaturated headway and the saturated headway are classified, specifically,
s321, if the headway of the vehicle of the number plate i is larger than the abnormal value of the saturated headway, setting the saturated state of the vehicle i and all subsequent vehicles in the group as an unsaturated state U; otherwise, repeating the step to judge the i +1 vehicle;
s322, if the headway of the vehicle with the number plate i is larger than the saturated headway threshold value, counting and turning to the next step, otherwise, firstly, the vehicle with the number plate i is defaulted to belong to the saturated headway S, and turning back to the S321 to judge the vehicle with the number i + 1;
and S324, calculating continuous numerical values of which the headway is larger than the saturated headway threshold value, if the continuous numerical values are equal to the saturated headway acquisition interruption sample amount, judging that the state of the vehicle before the number plate i is saturated S and the state of the vehicle after the number plate i is unsaturated U, and otherwise, returning to S321 to judge the i +1 vehicle.
Further, in step S5, specifically,
s51, solving the saturated headway of each headway group, and simultaneously rejecting abnormal values, specifically, extracting the headway values marked as the saturated headway in the headway groups, solving an average saturated headway value, rejecting the saturated headway of the headway group if the value is smaller than a reasonable headway minimum value, and otherwise, directly going to the step S52;
and S52, integrating the saturated headway of each group in the step S51, and solving the saturated headway of each unit time period in the set time based on the corresponding relation between the unit time period and the headway group in the step S4.
Further, in step S52, the saturated headway in each unit time period within the set time is solved, specifically,
s521, if the saturated headway exists in the unit time period, the saturated headway in the unit time period is the average value of the average saturated headway of each group, and if not, the next step is directly carried out;
s522, if the saturated headway does not exist in each unit time period on the day, setting the saturated headway of the lane in the time to be a default value, and otherwise, turning to the next step;
and S523, integrating the average saturated headway in each unit time period in the set time based on the step S521, and obtaining the saturated headway in the unit time period without the saturated headway by combining the numerical values of the adjacent saturated headways and utilizing a smoothing analysis algorithm.
The invention has the beneficial effects that:
the saturated headway time interval calculation method for the lane to be transferred based on the video number plate device is used for solving the problem that the lane to be transferred is not considered in the saturated headway time interval at the current stage, and when the saturated headway time interval is extracted and analyzed, a reasonable saturated headway time interval analysis range is automatically screened according to the characteristic information of the lane to be transferred, so that the accuracy of the saturated headway time interval screening range is improved, and the accuracy of the saturated headway time interval is improved.
According to the method for calculating the saturated headway of the lane to be transferred based on the video number plate device, the headway of the passing vehicle is integrated in a timestamp mode by means of the passing record of an electronic police/intelligent card port, so that the saturated headway and the unsaturated headway are automatically divided, manual collection or screening is not needed, the efficiency of extracting the effective headway is improved, and the accuracy of calculating the saturated headway is improved.
The video number plate vehicle passing record is extracted and integrated to obtain the vehicle headway of the vehicle passing through the lane on the same day, the vehicle headway is further divided into a plurality of headway groups, the saturated headway and the unsaturated headway are identified based on the traffic characteristics of the lane to be transferred, and the saturated headway of each group is further corresponding to each unit time period on the same day, so that the saturated headway of each time period on the whole day is obtained, the lane saturation state identification capability is improved, the accuracy of calculating the saturated headway of the lane is increased, and an effective support basis is provided for traffic planning and signal control management.
Drawings
Fig. 1 is a schematic flow chart of a method for calculating saturated headway of a lane to be turned based on a video number plate device in an embodiment of the present invention.
Detailed Description
Preferred embodiments of the present invention will be described in detail below with reference to the accompanying drawings.
Examples
A method for calculating saturated headway of a lane to be transferred based on video number plate equipment is used for automatically measuring and calculating the saturated headway of the lane to be transferred, as shown in figure 1, and comprises the following steps,
s1, adopting intersection characteristic information to identify lanes in a to-be-switched area, extracting vehicle passing data which is set time and preferably identified by video number plate equipment such as intersection electric warning/card port equipment in one day, adopting millisecond to perform timestamp processing, and setting the time interval of the head of the first vehicle in the day to be 0. If the first passing record of the lane B of the to-be-switched area at the south of the intersection A at a certain day 00:00:05.138 and the second passing record of the lane B at the south of the intersection A at a certain day 00:00:16.446 are recorded, the time headway of the vehicle X recorded at the time headway of 00:00:05.138 is defaulted to be 0, the time headway of the vehicle Y recorded at the time headway of 00:00:16.446 is judged to be 11.308s, and the time headways of all vehicles in the lane B of the all-day intersection A at the certain day are further integrated according to the time stamps.
And S2, grouping the vehicle passing records based on the vehicle passing record time interval time sequence. In particular to a method for preparing a high-performance nano-silver alloy,
s21, if the time headway of the vehicle of the number plate i is larger than the discontinuous flow threshold value, the default is that the interval between the vehicle i and the vehicle i-1 is larger, no saturation condition exists, the vehicle i is divided into the next time headway group, and otherwise, the time headway of the vehicle of the number plate i is divided into the current group.
And S22, dividing the current passing vehicle record into a plurality of headway groups according to the headway numerical value.
Generally, the discontinuous flow threshold is determined according to intersection characteristics and an intersection signal lamp control scheme, namely, the discontinuous flow threshold is determined according to the length of a to-be-transferred area and the green light duration of a previous phase of traffic of the to-be-transferred area, such as an intersection, wherein the discontinuous flow threshold is generally selected to be about 30 s.
If the headway data of the vehicles are recorded by continuously passing 12 vehicles as follows:
and when the headway of the vehicle (c) is 77.006s, the vehicle (c) is automatically divided into the next headway group.
S3, screening a saturated headway number plate range based on the passing vehicles in the headway group and the minimum sample size, and determining saturated vehicles S and unsaturated vehicles U according to the headway number.
S31, if the vehicle passing amount N in the vehicle headway group is less than or equal to the minimum sample amount N, the vehicle headway group is removed, the vehicle headway group is no longer used as the calculation amount of the saturated vehicle headway, the vehicle headway group directly jumps to the next vehicle headway group data, and otherwise, the range of the screening saturated vehicle headway number plate of the vehicle headway group is determined:
[n-nin+1，N-nIn+1]
In the formula: n is the number of the number plates in the group; n is the minimum sample size of the lane, and an integer is taken, namely: n is nChinese forget+nIn+1, wherein nChinese forgetIn order to ignore the number of vehicles and obtain the vehicle lane feature information based on the intersection, integers are generally selected, namely:
l is the length of a to-be-turned area of the lane at the intersection, and the length is generally between 10m and 15 m;
the average lane spacing is typically about 7 m.
nInAnd acquiring an interruption sample amount for the saturated headway, namely the times that the headway which is continuously decreased after an integer is taken in the group is interrupted by the headway abnormal value. Generally, the number of times of interruption by the headway abnormal value is an integer, and the number is generally 1 or 2, and if a group of headway integers is 77, 6, 16, 3, the number of times of interruption is 1.
In general, the range of the screened saturated headway number plate is from the position of a second vehicle after the vehicle in the area to be transferred is removed to the position of the vehicle with the saturated headway interruption by default.
And S32, classifying the non-saturated headway and the saturated headway of the number plate range extracted by screening based on the headway data value and the saturated headway interruption sample amount.
S321, if the headway of the vehicle of the number plate i is larger than the abnormal value of the saturated headway, setting the saturated state of the vehicle i and all subsequent vehicles in the group as an unsaturated state U; otherwise, repeating the step to judge the i +1 vehicle; in general, the abnormal value of the saturated headway is 6 s;
s322, if the headway of the vehicle of the number plate i is larger than the saturated headway threshold value, counting and turning to the next step, otherwise, firstly, the vehicle of the number plate i is defaulted to belong to the saturated headway S, and turning back to S321 to judge the vehicle of i + 1; in general, the saturated headway threshold is 3.5 s;
s324, calculating continuous numerical values of which the headway is larger than a saturated headway threshold value, if the continuous numerical values are equal to the saturated headway acquisition interruption sample amount, the state of the vehicle before the number plate i is saturated S, and the states of the vehicle after the number plate i and the number plate i are unsaturated U, otherwise, returning to S321 to judge the i +1 vehicle;
and S33, integrating the saturated headway time of each group.
And S4, extracting the vehicle passing record of the saturated headway S, wherein each headway group corresponds to the unit time period of the day. Typically, the unit time period is 15min, and there are 96 unit time periods per day.
Specifically, the vehicle passing record time of the vehicle in the full headway S in each group is divided into corresponding unit time periods on the same day. Generally, there may be no headway group in a unit time period because there are fewer vehicles in the night time period, and there may be a plurality of headway groups corresponding to the morning and evening peak periods. Meanwhile, if the saturated headway of the same group spans two unit time periods corresponding to the passing moments of the vehicles, the unit time period with the large number of the vehicles is mainly used according to the number of the saturated headway in the group in the front and back unit time periods.
As shown in the following table, the saturated headway in the group spans two unit time periods of 11:00:00-11:15:00 and 11:15:00-11:30:00, and the group data is divided into 11:15:00-11:30:00 unit time periods because 3 of the saturated headway in the group are recorded in the unit time periods of 11:15:00-11:30: 00.
| Serial number | Time | Headway |
| 1 | 11:14:58.116 | 2.84 |
| 2 | 11:15:00.776 | 2.66 |
| 3 | 11:15:03.416 | 2.64 |
| 4 | 11:15:06.005 | 2.589 |
And S5, solving the saturated headway of each unit time interval, and further solving the saturated headway of the whole day.
S51, solving the saturated headway of each headway group, and simultaneously rejecting abnormal values. Specifically, a headway value marked as a saturated headway in the headway group is extracted, an average saturated headway value is obtained, if the value is smaller than a reasonable headway minimum value, the saturated headway group is removed, and otherwise, the step is directly switched to the step S52.
And S52, integrating the saturated headway of each group in the step S51, and solving the saturated headway of each unit time period all day based on the corresponding relation between the unit time period and the headway group in the step S4.
S521, if the saturated headway exists in the unit time period, the saturated headway in the unit time period is the average value of the average saturated headway of each group, and if not, the next step is directly carried out;
s522, if no saturated locomotive exists in each unit time period on the day, the saturated locomotive time distance of the all-day lane is preferably 2.7 as a default value, otherwise, the next step is carried out;
and S523, integrating the average saturated headway in each unit time period on the day based on the step S521, and obtaining the saturated headway in the unit time period without the saturated headway by combining the values of the adjacent saturated headways and utilizing a smooth analysis algorithm. And if the average saturated headway of 11:00:00-11:15:00 is 2.66, and the average saturated headway of 11:30:00-11:45:00 is 2.8, obtaining a saturated headway value of 2.73 in the period of 11:15:00-11:30:00 without the saturated headway according to the average solution of the two values.
The saturated headway time distance calculation method for the lane to be transferred based on the video number plate equipment integrates and obtains headway time distance data of the lane level of the day by means of vehicle passing record information collected by video number plate identification equipment such as an electronic police/intelligent card port of an intersection and the like and groups the headway time distance data, and automatically identifies and classifies the saturated headway time distance and the unsaturated headway time distance of each group based on characteristic information of the lane to be transferred, so that the saturated headway time distance of each group is matched to a unit time period based on vehicle passing record time of each group, the saturated headway time distance value of each time period of the whole day is further solved, the accuracy of the saturated headway time distance is improved, and data support is provided for traffic planning and signal control management.
The saturated headway time interval calculation method for the lane to be transferred based on the video number plate equipment is used for solving the problem that the lane to be transferred is not considered in the saturated headway time interval at the present stage, automatically screening a reasonable saturated headway time interval analysis range according to the characteristic information of the lane to be transferred when the saturated headway time interval is extracted and analyzed, improving the accuracy of the saturated headway time interval screening range and improving the accuracy of the saturated headway time interval.
One specific example of an embodiment is as follows:
when the south of one crossroad turns left, a zone to be turned exists, the length of the zone to be turned is 15m, and the number of the ignored vehicles is 2. The vehicle passing records of the whole day are extracted from the gate equipment of the south entry and are integrated in a millisecond mode according to a time stamp. And further grouping according to the passing headway, wherein the discontinuous flow threshold value is 30s, and if the headway exceeds 30s, dividing the headway corresponding to the data into the next group. Therefore, the number of vehicles is small in the 1:00:00-2:00:00 night time period, the vehicle interval is large, and no headway group exists.
In the embodiment, the peak-flattening process is performed by selecting the peak-flattening process from 10:30 to 10:45 and the peak-early stage process from 8:00 to 8:15 respectively.
1. Flat peak 10:30:00-10:45:00
The time interval has 6 headway groups, taking the first group as an example, the broken sample amount n of the headway groups can be known according to dataIn1, the minimum sample number N of the lane is 4, the number N of the number plates in the group is 7, and the number of the number plates in the group is greater than the minimum sample number of the lane, so that the range of the number plates of the headway time interval of the group can be determined to be [4,7 ]]Namely, the headway time groups are 1.821, 1.486, 2.06 and 6.785; the same process can be used for solving the rest groups, and the information of the rest time interval groups after screening is shown in the following table:
| group number | Headway sequence |
| 1 | 1.821、1.486、2.06、6.785 |
| 2 | 2.88、2.18 |
| 3 | Is free of |
| 4 | Is free of |
| 5 | 4.552、11.423 |
| 6 | Is free of |
| 7 | Is free of |
And further classifying the saturated headway and the unsaturated headway of each group, wherein the first group and the second group are both saturated headway, the fifth group is unsaturated headway, and further solving is carried out on the average saturated headway of each group, namely the first group is 1.789s, and the second group is 2.53s, so that the average saturated headway in the time period is 2.159 s.
2. Early peak 8:00:00-8:15:00
The time interval has 6 headway groups, taking the first group as an example, the broken sample amount n of the headway groups can be known according to dataIn2, so the minimum sample number N of the lane is 5, the number N of the number plates in the group is 13, and the number of the number plates in the group is larger than the minimum sample number of the lane, so the range of the number plates of the headway time interval of the group can be determined as [4,12 ]]The headway groups are 4.66, 2.423, 2.157, 2.28, 2.64, 2.62, 3.621, 2.14, 2.539 and 3.72; the same process can be used for solving the rest groups, and the information of the rest time interval groups after screening is shown in the following table:
| group number | Headway sequence |
| 1 | 4.66、2.423、2.157、2.28、2.64、2.62、3.621、2.14、2.539、3.72 |
| 2 | 2.301、5.019、2.422、2.508、2.3、3.391、2.709、1.58、7.081 |
| 3 | 2.78、2.84、3.62、2.28、2.64、2.88、3.83、2.641、5.149 |
| 4 | 3.719、3.462、2.068、1.92、1.8、3.73、1.681、2.173、2.158 |
| 5 | 5.52、1.8、2.52、1.8、1.92、1.801、3.36、1.819、5.38 |
| 6 | 2.53、2.181、2.859、2.52、3.13、3.87 |
Further classifying each group of saturated headway and unsaturated headway, taking the second group as an example, the last headway distance value is 7.081s, which is the unsaturated headway distance, and then solving each group of average saturated headway distances, wherein the values are shown in the following table:
| group number | Average saturated headway(s) |
| 1 | 2.88 |
| 2 | 2.779 |
| 3 | 3.184 |
| 4 | 2.523 |
| 5 | 2.88 |
| 6 | 2.848 |
Therefore, the average saturated headway in this time period is 2.849 s.
And similarly, the average saturated headway time in each unit time period on the same day can be solved, and if countless values exist in a certain unit time period, smooth analysis is carried out.
Claims (3)
1. A method for calculating saturated headway of a lane to be transferred based on video number plate equipment is characterized by comprising the following steps: comprises the following steps of (a) carrying out,
s1, collecting intersection characteristic information to identify lanes in a to-be-transferred area, extracting vehicle passing data identified by video number plate equipment within set time, performing time stamp processing by adopting a set unit, and integrating according to time stamps to obtain the head time distances of all vehicles passing through the lanes of the intersection;
s2, grouping the vehicle passing records based on the vehicle passing record headway time sequence to obtain a plurality of headway groups;
s3, screening a saturated headway number plate range based on the passing amount and the minimum sample amount in the headway group, and determining a saturated vehicle S and an unsaturated vehicle U according to the headway value; in step S3, specifically, the step,
s31, if the vehicle passing amount N in the vehicle headway group is less than or equal to the minimum sample amount N, rejecting the vehicle headway group, directly jumping to the next vehicle headway group data as the saturated vehicle headway calculated amount, otherwise determining the screening saturated vehicle headway number plate range of the vehicle headway group:
[n-nin+1，N-nIn+1]
In the formula, N is the number of the number plates in the group; n is the minimum sample size of the lane, and an integer is taken, namely: n is nChinese forget+nIn+1, wherein nChinese forgetIn order to ignore the number of vehicles, the lane characteristic information is obtained based on the intersection, namely:
l is the length of the area to be turned of the lane at the intersection,
is the average lane spacing; n isInAcquiring an interruption sample amount for the saturated headway, namely the times that the headway which is continuously decreased after an integer is taken in the group is interrupted by the headway abnormal value;
s32, classifying the non-saturated headway and the saturated headway of the number plate range extracted by screening based on the headway numerical value and the saturated headway acquisition interruption sample amount; in particular to a method for preparing a high-performance nano-silver alloy,
s321, if the headway of the vehicle with the number plate i is larger than the abnormal value of the saturated headway, setting the states of the vehicle with the number plate i and all subsequent vehicles in the group as unsaturated vehicles U; otherwise, repeating the step to judge the number plate i +1 vehicle;
s322, if the headway of the vehicle with the number plate i is larger than the threshold value of the saturated headway, counting and turning to the step S323, otherwise, firstly, the vehicle with the number plate i is defaulted to belong to the saturated vehicle S, and turning to the step S321 to judge the vehicle with the number plate i + 1;
s323, calculating continuous numerical values of which the headway is larger than the threshold value of the saturated headway, if the continuous numerical values are equal to the sampling quantity of the acquisition interruption of the saturated headway, the state of the vehicle before the vehicle of the number plate i is a saturated vehicle S, and the states of the vehicle of the number plate i and the vehicle after the vehicle of the number plate i are an unsaturated vehicle U, otherwise, returning to the S321 to judge the vehicle of the number plate i + 1;
s33, integrating the saturated headway of each group;
s4, extracting the vehicle passing record of the saturated vehicle S, and corresponding each saturated headway group to a unit time period, namely dividing the vehicle passing record time of the saturated vehicle S in each saturated headway group into corresponding unit time periods within a set time according to the vehicle passing record time of the saturated vehicle S;
s5, solving the saturated headway of each unit time period, and further solving the saturated headway within the set time; in step S5, specifically, the step,
s51, solving the saturated headway of each headway group, and simultaneously eliminating abnormal values, specifically, extracting the headway values marked as the saturated headway in the headway groups to obtain average saturated headway values, if the average saturated headway values are smaller than the minimum value of the reasonable headway, eliminating the saturated headway of the headway groups, otherwise, directly turning to the step S52;
and S52, integrating the saturated headway of each headway group in the step S51, and solving the saturated headway of each unit time period in the set time based on the corresponding relation between the unit time period and the headway group in the step S4.
2. The video license plate device-based saturated headway calculation method for the lane to be turned of the vehicle as claimed in claim 1, wherein: in step S2, the passing records are grouped based on the time series of the time headway of the passing records to obtain a plurality of time headway groups, specifically,
s21, if the time headway of the vehicle with the number plate i is larger than the discontinuous flow threshold value, the default is that the interval between the vehicle with the number plate i and the vehicle with the number plate i-1 is larger, no saturation condition exists, the vehicle with the number plate i is divided into a next time headway group, and otherwise, the time headway of the vehicle with the number plate i is divided into the group;
and S22, dividing the current passing vehicle record into a plurality of headway groups according to the headway numerical value.
3. The video license plate device-based saturated headway calculation method for the lane to be turned of the vehicle as claimed in claim 1, wherein: in step S52, the saturated headway in each unit time period within the set time is solved, specifically,
s521, if the saturated headway exists in the unit time period, the saturated headway in the unit time period is the average value of the average saturated headway of each headway group, and if not, the step S522 is directly carried out;
s522, if the saturated headway does not exist in each unit time period on the day, setting the saturated headway of the lane in the set time to be a default value, otherwise, turning to the step S523;
and S523, integrating the average saturated headway in each unit time period in the set time based on the step S521, and obtaining the saturated headway in the unit time period without the saturated headway by combining the numerical values of the adjacent saturated headways and utilizing a smoothing analysis algorithm.
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| CN110956824A (en) * | 2019-12-12 | 2020-04-03 | 天地伟业技术有限公司 | Event monitoring method based on video |
| CN113724492A (en) * | 2021-07-29 | 2021-11-30 | 东南大学 | Method for predicting red light running behavior of rider by considering vehicle type and group |
| CN113936453B (en) * | 2021-09-09 | 2022-08-19 | 上海宝康电子控制工程有限公司 | Information identification method and system based on headway |
| CN114664098B (en) * | 2022-04-20 | 2023-08-04 | 北京京东乾石科技有限公司 | Road right distribution method and device |
| CN115100856B (en) * | 2022-06-20 | 2023-05-26 | 公安部交通管理科学研究所 | Method for analyzing vehicle flow direction from multiple departure places to multiple destinations |
| CN115063977B (en) * | 2022-06-20 | 2023-05-26 | 公安部交通管理科学研究所 | Method for analyzing vehicle flow direction from single departure place to multiple destinations |
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