CN107590999B - Traffic state discrimination method based on checkpoint data - Google Patents
Traffic state discrimination method based on checkpoint data Download PDFInfo
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- CN107590999B CN107590999B CN201710710351.5A CN201710710351A CN107590999B CN 107590999 B CN107590999 B CN 107590999B CN 201710710351 A CN201710710351 A CN 201710710351A CN 107590999 B CN107590999 B CN 107590999B
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Abstract
The invention discloses a traffic state discrimination method based on bayonet data, which comprises the steps of collecting traffic basic data through a bayonet; preprocessing the acquired traffic basic data; and analyzing and judging the preprocessed traffic basic data by adopting an improved traffic state judging algorithm to obtain the traffic state of the road, wherein the improved traffic state judging algorithm analyzes and judges according to the length of the road, the free flow speed of the vehicle, the period of a traffic signal, the actual travel time of the vehicle and the green signal ratio coefficient of a signal lamp. The invention can acquire the traffic basic data through the gate, can comprehensively and completely acquire the vehicle information which can be detected by the gate, and adopts an improved traffic state discrimination algorithm to analyze and discriminate the traffic state according to the road length, the vehicle free flow speed, the traffic signal period, the vehicle actual travel time and the green ratio coefficient of the signal lamp, thereby improving the discrimination accuracy of the traffic running state of the road. The invention can be widely applied to the field of intelligent traffic.
Description
Technical Field
The invention relates to the field of intelligent traffic, in particular to a traffic state discrimination method based on checkpoint data.
Background
Traditional traffic jam information generally comes from traffic broadcast or cell-phone APP that traffic police law enforcement provided, and these information are mostly depending on the information that artifical or GPS acquireed, if meet the circumstances such as the manpower is not enough or bad weather, the information issuing of traffic jam will receive the influence, and in present mobile internet era, the crowd who uses traditional broadcast mode to obtain traffic information is constantly shrinking moreover. Therefore, a technology capable of inquiring the road traffic running state at any time through various clients such as a mobile phone and a PC is developed, and the technology has increasingly wide market demands.
At present, a plurality of cities are provided with perfect road traffic bayonet traffic facilities, diversified reliable data support is provided for traffic enforcement and management, but the technology of applying traffic basic data to traffic jam judgment is still few, and the mainstream method in the current market is to calculate the running speed of vehicles on roads through information such as geographic positions sensed by vehicle-mounted GPS (global positioning system) of taxies. However, this method is limited to obtaining the driving information of the taxi, and cannot comprehensively obtain the related data of other vehicle types (such as a truck, a bus, a passenger car, a social vehicle, etc.), so that the accuracy rate of determining the actual road traffic condition by this method is low, and the reliability of the determination result is not high.
Disclosure of Invention
To solve the above technical problems, the present invention aims to: the traffic state discrimination method based on the checkpoint data is comprehensive and high in accuracy.
The technical scheme adopted by the invention is as follows:
a traffic state discrimination method based on checkpoint data comprises the following steps:
collecting traffic basic data through a bayonet;
preprocessing the acquired traffic basic data;
and analyzing and judging the preprocessed traffic basic data by adopting an improved traffic state judging algorithm to obtain the traffic state of the road, wherein the improved traffic state judging algorithm analyzes and judges according to the length of the road, the free flow speed of the vehicle, the period of a traffic signal, the actual travel time of the vehicle and the split coefficient of a signal lamp.
Further, the traffic basic data includes a license plate number and a passing time of each vehicle passing through the intersection.
Further, the step of preprocessing the acquired traffic basic data includes the following steps:
acquiring and performing data completion on the traffic basic data;
and carrying out data cleaning on the traffic basic data after the data completion.
Further, the step of acquiring and performing data completion on the traffic basic data comprises the following steps:
obtaining and comparing and analyzing the traffic basic data to obtain data of vehicles which are not missed to be detected and data of vehicles which are not missed to be detected;
and completing the data of the vehicles which are not missed to be detected according to the data of the vehicles which are not missed to be detected to obtain the completed traffic basic data.
Further, the step of completing the data of the vehicles which are not missed to be detected according to the data of the vehicles which are not missed to be detected to obtain the traffic basic data after completing comprises the following steps:
acquiring vehicle passing record data of a missed vehicle and a vehicle which is not missed in the two adjacent gates;
the missed-detection vehicle refers to a vehicle with a known passing time at a gate and an unknown license plate record; the vehicle which is not missed to be detected refers to the vehicle with known passing time and license plate records of the corresponding gate;
according to the acquired vehicle passing record data of the missed-detection vehicle and the non-missed-detection vehicle, the vehicle passing time difference of the missed-detection vehicle and the non-missed-detection vehicle at two adjacent gates is calculated, and the calculation formula of the vehicle passing time difference is as follows: Δ tA＝|tA1-tAi|、ΔtB＝|tB j-tBiL, where Δ tAThe time difference of passing of the vehicle without missing inspection at the first gate is delta tBThe passing time difference of the missed-detection vehicle and the non-missed-detection vehicle at the second gate is tA1Time t of passing vehicle passing through first bayonet without detectionAiTime t of passing vehicle through first gate for passing vehicle without missing inspectionBjTime t of passing vehicle through second gate for missed detectionBiThe passing time of the vehicle passing through the second bayonet is the time when the vehicle is not missed;
calculating delta t according to the passing time difference of the missed-detection vehicle and the missed-detection vehicle at two adjacent gatesAAnd Δ tBThe difference between the two passing time differences, Δ tAAnd Δ tBThe difference Δ T between these two passing time differences is calculated as: Δ T ═ Δ TA-ΔtB|；
Obtaining the minimum value Min Delta T of the calculated Delta T, judging whether the Min Delta T meets the set threshold requirement, if so, detecting the passing time T of the vehicle passing through the first gate by omissionA1The passing time of the vehicle passing through the first gate is used as the passing time of the vehicle which is subjected to missed detection after data completion, and the license plate information of the vehicle which is subjected to missed detection is completed by combining an image recognition technology; and otherwise, returning to the step of calculating the passing time difference between the missed-detection vehicle and the non-missed-detection vehicle at two adjacent gates according to the acquired passing record data of the missed-detection vehicle and the non-missed-detection vehicle.
Further, the step of performing data cleaning on the traffic basic data after the data completion comprises the following steps:
calculating the time recording difference of the vehicle between any two adjacent gates according to the supplemented traffic basic data;
sorting the calculated time recording differences to obtain a minimum time recording difference;
according to the minimum time recording difference, whether the time recording difference of the vehicle between any two adjacent gates meets the condition that delta t is more than or equal to min (delta t)n) If yes, information of the vehicle is removed; otherwise, no processing is performed, wherein Δ t represents a time recording difference between two adjacent gates of the vehicle, λ is a green ratio coefficient of a signal lamp in front of the vehicle driving direction, C is a total period length of the signal lamp in front of the vehicle driving direction, and min (Δ t)n) The difference is recorded for the minimum time.
Further, the step of analyzing and distinguishing the preprocessed traffic basic data by adopting an improved traffic state distinguishing algorithm to obtain the road traffic state comprises the following steps:
calculating the ideal travel time of the vehicle road section of the road to be analyzed, wherein the calculation formula of the ideal travel time of the vehicle road section is as follows: t is tmin＝S/VmaxWherein t isminIdeal travel time for a vehicle road section, S length of road to be analyzed, VmaxIs the vehicle free stream velocity;
calculating the actual vehicle travel time of the road to be analyzed according to the preprocessed traffic basic data;
determining the running state of the vehicle according to the calculated ideal travel time of the vehicle road section and the actual travel time of the vehicle;
and determining the traffic running state of the road to be analyzed according to the running state of the vehicle.
Further, the step of determining the operation state of the vehicle according to the calculated ideal travel time of the vehicle section and the actual travel time of the vehicle is specifically as follows:
and judging the running state of the vehicle according to the ideal travel time of the vehicle road section, the actual travel time of the vehicle and the green ratio coefficient of a signal lamp in front of the driving direction of the vehicle:
if tmin≤t<tminIf the + C (1-lambda) is judged, the running state of the vehicle is smooth;
if tmin+(1-λ)C≤t<tminC (2-lambda), judging that the running state of the vehicle is slow;
if tmin+(2-λ)C≤t<tminC, judging that the running state of the vehicle is congestion;
wherein, tminThe ideal travel time of the vehicle road section, t, lambda, the green ratio coefficient of the signal lamp in front of the vehicle driving direction and C, the total period time of the signal lamp in front of the vehicle driving direction.
Further, the step of determining the traffic running state of the road to be analyzed according to the running state of the vehicle comprises the following steps:
counting the number of vehicles corresponding to all the running states in the candidate range in the road to be analyzed according to the running states of the vehicles;
selecting the running state corresponding to the maximum number of vehicles as the current traffic running state;
judging whether the current traffic running state meets a set index, if so, taking the current traffic running state as the traffic running state of the road to be analyzed; and otherwise, modifying the candidate range and returning to the step of counting the number of the vehicles corresponding to all the running states in the candidate range in the road to be analyzed according to the running states of the vehicles.
Further, the method also comprises the following steps:
and according to the road traffic running state, carrying out visual information display and detour guidance on the road traffic condition.
The invention has the beneficial effects that: in addition, the invention adopts an improved traffic state discrimination algorithm to analyze and discriminate the traffic state according to the road length, the vehicle free flow speed, the traffic signal period, the vehicle actual travel time and the green ratio coefficient of a signal lamp, overcomes the defect that the existing method only carries out traffic state calculation through vehicle running information, and improves the discrimination accuracy of the road traffic running state.
Drawings
FIG. 1 is a flow chart illustrating the steps of a traffic status determination method based on checkpoint data according to the present invention;
FIG. 2 is a flowchart illustrating the overall steps of a first embodiment of the present invention;
FIG. 3 is a schematic diagram illustrating the distribution of adjacent bayonet positions according to a first embodiment of the present invention;
FIG. 4 is a flowchart illustrating a data completion procedure according to a first embodiment of the present invention;
fig. 5 is a flowchart of steps of a traffic state determination algorithm according to a first embodiment of the present invention.
Detailed Description
Referring to fig. 1, a traffic state determination method based on checkpoint data includes the following steps:
collecting traffic basic data through a bayonet;
preprocessing the acquired traffic basic data;
and analyzing and judging the preprocessed traffic basic data by adopting an improved traffic state judging algorithm to obtain the traffic state of the road, wherein the improved traffic state judging algorithm analyzes and judges according to the length of the road, the free flow speed of the vehicle, the period of a traffic signal, the actual travel time of the vehicle and the split coefficient of a signal lamp.
Further preferably, the traffic basic data includes a license plate number and a passing time of each vehicle passing through the intersection.
Further, as a preferred embodiment, the step of preprocessing the acquired traffic basic data includes the following steps:
acquiring and performing data completion on the traffic basic data;
and carrying out data cleaning on the traffic basic data after the data completion.
Further, as a preferred embodiment, the step of acquiring and performing data completion on the traffic basic data includes the following steps:
obtaining and comparing and analyzing the traffic basic data to obtain data of vehicles which are not missed to be detected and data of vehicles which are not missed to be detected;
and completing the data of the vehicles which are not missed to be detected according to the data of the vehicles which are not missed to be detected to obtain the completed traffic basic data.
Further, as a preferred embodiment, the step of completing the data of the vehicle which is not missed to be detected according to the data of the vehicle which is not missed to be detected to obtain the traffic basic data after the completion comprises the following steps:
acquiring vehicle passing record data of a missed vehicle and a vehicle which is not missed in the two adjacent gates;
according to the acquired vehicle passing record data of the missed-detection vehicle and the non-missed-detection vehicle, the vehicle passing time difference of the missed-detection vehicle and the non-missed-detection vehicle at two adjacent gates is calculated, and the calculation formula of the vehicle passing time difference is as follows: Δ tA＝|tA1-tAi|、ΔtB＝|tB j-tBiL, where Δ tAThe time difference of passing of the vehicle without missing inspection at the first gate is delta tBThe passing time difference of the missed-detection vehicle and the non-missed-detection vehicle at the second gate is tA1Passing time t of missed-inspection vehicle passing through first bayonet for completionAiTime t of passing vehicle through first gate for passing vehicle without missing inspectionBjTime t of passing vehicle through second gate for missed detectionBiThe passing time of the vehicle passing through the second bayonet is the time when the vehicle is not missed;
calculating delta t according to the passing time difference of the missed-detection vehicle and the missed-detection vehicle at two adjacent gatesAAnd Δ tBThe difference between the two passing time differences, Δ tAAnd Δ tBThe difference Δ T between these two passing time differences is calculated as: Δ T ═ Δ TA-ΔtB|；
Obtaining the minimum value Min Delta T of the calculated Delta T, judging whether the Min Delta T meets the set threshold requirement, if so, detecting the passing time T of the vehicle passing through the first gate by omissionA1Passing time of missed-detection vehicles passing through the first gate after data completion is combined with image recognitionThe technology completes the license plate information of the vehicle which is missed to be detected; and otherwise, returning to the step of calculating the passing time difference between the missed-detection vehicle and the non-missed-detection vehicle at two adjacent gates according to the acquired passing record data of the missed-detection vehicle and the non-missed-detection vehicle.
The missed detection means that when a vehicle passes through a gate, the gate can record the passing time of the vehicle, but cannot correctly identify the license plate record, namely the license plate data of the vehicle cannot be recorded, and at the moment, the system records a passing record of the missing license plate number; the non-missing detection means that the passing time and the license plate number can be correctly recorded when the vehicle passes through the gate. As shown in fig. 3, the vehicle a is a vehicle that has not been missed, and the vehicle B is an adjacent vehicle. In addition, the adjacent bayonets mean that no other shunting points or other bayonets are arranged between the two bayonets, the adjacent bayonets are respectively positioned at the starting point and the end point of a section of road, and tA1Time t of passing vehicle through first gate for missed inspectionAiTime t of passing vehicle through first gate for passing vehicle without missing inspectionBjTime t of passing vehicle through second gate for missed detectionBiThe passing time of the vehicle passing through the second bayonet is not missed.
Further, as a preferred embodiment, the step of performing data cleaning on the traffic basic data after the data completion includes the following steps:
calculating the time recording difference of the vehicle between any two adjacent gates according to the supplemented traffic basic data;
sorting the calculated time recording differences to obtain a minimum time recording difference;
according to the minimum time recording difference, whether the time recording difference of the vehicle between any two adjacent gates meets the condition that delta t is more than or equal to min (delta t)n) If yes, information of the vehicle is removed; otherwise, no processing is performed, wherein Δ t represents a time recording difference between two adjacent gates of the vehicle, λ is a green ratio coefficient of a signal lamp in front of the vehicle driving direction, C is a total period length of the signal lamp in front of the vehicle driving direction, and min (Δ t)n) The difference is recorded for the minimum time.
And the operation objects in the data cleaning step are all vehicles, and the vehicles needing to be cleaned are screened out by judging the time record difference of each vehicle one by one and the information corresponding to the vehicles is deleted.
Further as a preferred embodiment, the step of analyzing and distinguishing the preprocessed traffic basic data by using an improved traffic state distinguishing algorithm to obtain the road traffic state includes the following steps:
calculating the ideal travel time of the vehicle road section of the road to be analyzed, wherein the calculation formula of the ideal travel time of the vehicle road section is as follows: t is tmin＝S/VmaxWherein t isminIdeal travel time for a vehicle road section, S length of road to be analyzed, VmaxIs the vehicle free stream velocity;
calculating the actual vehicle travel time of the road to be analyzed according to the preprocessed traffic basic data;
determining the running state of the vehicle according to the calculated ideal travel time of the vehicle road section and the actual travel time of the vehicle;
and determining the traffic running state of the road to be analyzed according to the running state of the vehicle.
The vehicle free flow speed refers to a normal running speed of a vehicle on an uncongested road to be analyzed.
Further as a preferred embodiment, the step of determining the operation state of the vehicle according to the calculated ideal travel time of the vehicle road section and the actual travel time of the vehicle is specifically:
and judging the running state of the vehicle according to the ideal travel time of the vehicle road section, the actual travel time of the vehicle and the green ratio coefficient of a signal lamp in front of the driving direction of the vehicle:
if tmin≤t<tminIf the + C (1-lambda) is judged, the running state of the vehicle is smooth;
if tmin+(1-λ)C≤t<tminC (2-lambda), judging that the running state of the vehicle is slow;
if tmin+(2-λ)C≤t<tmin+ (3-lambda) C, the running state of the vehicle is determinedThe state is congestion;
wherein, tminThe ideal travel time of the vehicle road section, t, lambda, the green ratio coefficient of the signal lamp in front of the vehicle driving direction and C, the total period time of the signal lamp in front of the vehicle driving direction.
Further preferably, the step of determining the traffic operation state of the road to be analyzed according to the operation state of the vehicle includes the steps of:
counting the number of vehicles corresponding to all the running states in the candidate range in the road to be analyzed according to the running states of the vehicles;
selecting the running state corresponding to the maximum number of vehicles as the current traffic running state;
judging whether the current traffic running state meets a set index, if so, taking the current traffic running state as the traffic running state of the road to be analyzed; and otherwise, modifying the candidate range and returning to the step of counting the number of the vehicles corresponding to all the running states in the candidate range in the road to be analyzed according to the running states of the vehicles.
If the number of vehicles in the current traffic running state is not highly close to or equal to another traffic running state, the current traffic running state can be considered to meet the set index.
Further as a preferred embodiment, the method further comprises the following steps:
and according to the road traffic running state, carrying out visual information display and detour guidance on the road traffic condition.
The invention will be further explained and explained with reference to the drawings and the embodiments in the description.
Example one
The invention provides a traffic state judging method based on checkpoint data, which aims at solving the problem that the prior art can only obtain corresponding running information through a vehicle-mounted GPS of a taxi so as to calculate the traffic running condition of a road. As shown in fig. 2, the invention judges the traffic operation condition of the road by collecting, preprocessing and analyzing the operation state of the road traffic basic data, and warns the distribution of the traffic jam road section to guide the vehicle to bypass the jam road section in time. The method comprises the following steps that road traffic basic data are collected through traffic flow detection equipment on a gate, and the equipment can accurately identify detailed information such as types, license plates, running speeds and the like of vehicles; according to the detailed information, after data preprocessing (namely completing and cleaning the acquired traffic basic data) is finished, the traffic running states of the relevant road sections are analyzed by calculating the speeds of different vehicle types (such as taxies, buses, cars and the like) and combining set judgment standards, and finally real-time information is issued to the outside, so that the accuracy is high.
Referring to fig. 2, the traffic state determination method based on checkpoint data specifically includes the following steps:
the method comprises the following steps: data acquisition: the information such as the real-time position, the speed and the state of the vehicle is collected through information equipment such as a bayonet signal lamp. According to actual needs, the bayonets in the monitoring range are reasonably selected, important road and intersection bayonets are screened, representative road sections and areas are selected, roads without bifurcation points (such as expressways between two toll stations without bifurcation points in the middle) are mainly selected, and therefore the effect of better expressing the urban traffic jam condition is achieved. In addition, the bayonet is matched with the map through the GPS, so that the position information such as longitude and latitude can be accurately acquired, the calculation of distance and time difference in the subsequent steps is facilitated, the calculation process of the invention is simplified, and the efficiency is improved.
Step two: data preprocessing: including completion and cleansing of the data.
Data completion is a method for performing inverse calculation on the missed detection data of the equipment, and an iterative calculation mode is generally adopted. When the bayonet is detected on an actual road, the situation of missed detection of passing vehicles may occur due to the influences of the installation position of the bayonet, the shooting angle of bayonet equipment, the shielding of surrounding buildings and plants, night, severe weather and other factors, and therefore certain repairing and completing work needs to be carried out on data before detection work. The data complementing method can complement vehicle passing record information of vehicles which are missed to be detected on the periphery of the vehicle passing record information according to the shot vehicle information, for example, two vehicles running in the same direction record license plate information when passing through two adjacent gates, one vehicle has complete gate passing record, and the other vehicle lacks the passing record of one gate.
Referring to fig. 3 and 4, the data completion method of the present invention specifically includes the following steps:
and S1, respectively acquiring the passing records of two vehicles running in the same direction at two adjacent bayonets A and B.
Wherein, the time t when the vehicle passing through the first gate A is setA1(namely the passing time to be solved), the moment when the undetected vehicle passes through the second gate B is tBj(ii) a The moment when the vehicle which is not missed to be detected passes through the first bayonet A is tAiThe moment when the vehicle which is not missed to be detected passes through the second bayonet B is tBi。
S2, calculating the passing time difference Deltat between the two vehicles at the first bayonet A according to the plurality of passing recordsAAnd a passing time difference Deltat of two vehicles at the second bayonet BBAnd reversely pushing the vehicle A to pass through the vehicle passing record of the first bayonet A.
The calculation formula of the passing time difference is as follows: Δ tA＝|tA1-tAi|、ΔtB＝|tBi-tBjL, where Δ tAThe time difference of passing of the vehicle without missing inspection at the first gate is delta tBThe passing time difference between the vehicle without missed inspection and the vehicle without missed inspection at the second gate is tA1Passing time t of missed-detection vehicle passing through first bayonet to be solvedAiTime t of passing vehicle through first gate for passing vehicle without missing inspectionBjTime t of passing vehicle through second gate for missed detectionBiThe passing time of the vehicle passing through the second bayonet is not missed.
S3, passing vehicles at two adjacent gates according to the missed vehicles and the vehicles which are not missedDifference between them, calculate Δ tAAnd Δ tBThe difference between the two passing time differences, then Δ tAAnd Δ tBThe difference Δ T between these two passing time differences is calculated as: Δ T ═ Δ TA-ΔtBL, where Δ tAThe time difference of passing of the vehicle without missing inspection at the first gate is delta tBAnd delta T is the difference between the two passing time differences of the missed-detection vehicle and the non-missed-detection vehicle at the second gate.
S4, obtaining the minimum Min delta T according to the delta T, setting a reasonable threshold, and carrying out iterative calculation according to the judgment condition of the threshold until the passing time T meeting the judgment condition of the threshold is calculatedA1。
S5, according to the passing time t meeting the threshold judgment conditionA1The license plate number of the vehicle is identified by combining other means (such as an image processing technology) to determine the license plate number of the vehicle which is missed to be detected; finally passing through the calculated passing time tA1And completing the information of the vehicle which is not detected.
The data cleaning is mainly used for the abnormal situations that some vehicles are parked for a long time between two adjacent gates in the vehicle passing record data of the vehicles detected between the two adjacent gates. Such as: setting the time record difference value of any two adjacent gates of the same vehicle as delta t1、Δt2、Δt3…ΔtnAnd then the minimum value of all time record difference values is calculated: min (Δ t)n). In real life, at most 3 red light situations occur at two continuous intersections, if the time record difference of the vehicle exceeds the time for waiting 3 red light times, the vehicle is judged to have parking or other abnormal situations, and therefore the vehicle belongs to data needing to be cleaned. Specifically, if the time record difference of the current vehicle on the corresponding two adjacent gates meets delta t ≧ min (delta t)n) And C, eliminating the information of the current vehicle, and repeating the steps until all the data needing to be cleaned are eliminated, wherein delta t represents the time recording difference of the current vehicle between two adjacent gates, lambda is the green ratio coefficient of a signal lamp in front of the driving direction of the vehicle, and C is the vehicleTotal period of signal light, min (Δ t), ahead of the direction of traveln) For minimum time recording difference, the split coefficient refers to the ratio of the effective green time of a certain phase to the period duration.
Step three: acquiring traffic basic data after data completion and data cleaning, and performing data analysis: the vehicle running state is classified by adopting an improved traffic state discrimination algorithm mainly according to the place, time and vehicle information detected by each gate.
Referring to fig. 5, the improved traffic state determination method specifically includes the following steps:
s1, calculating the ideal travel time of the vehicle road section between the two checkpoints according to the acquired traffic basic data, wherein the specific calculation formula is as follows: t is tmin＝S/VmaxWherein t isminIdeal travel time for a vehicle road section, S length of road to be analyzed, VmaxIs the vehicle free stream velocity.
S2, judging the real-time running state of the vehicle according to the ideal travel time of the vehicle road section, the actual travel time of the vehicle and the green ratio coefficient of a signal lamp in front of the vehicle running direction:
if tmin≤t<tminIf the + C (1-lambda) is judged, the running state of the vehicle is smooth;
if tmin+(1-λ)C≤t<tminC (2-lambda), judging that the running state of the vehicle is slow;
if tmin+(2-λ)C≤t<tminC, judging that the running state of the vehicle is congestion;
wherein, tminThe ideal travel time of the vehicle road section, t, lambda, the green ratio coefficient of the signal lamp in front of the vehicle driving direction and C, the total period time of the signal lamp in front of the vehicle driving direction.
And S3, calculating the traffic running states corresponding to the vehicle records according to the judgment standard, counting the traffic records in the candidate range, and calculating the number of vehicles corresponding to three states of smooth traffic, slow traffic and traffic jam.
And S4, selecting the corresponding running state when the number of vehicles is the largest as the traffic running state of the road, and if the heights of the vehicles in the two states are close to or equal to each other, properly adjusting the size of the candidate range and counting the sample amount again until the traffic running state meeting the index appears.
And S5, performing information display and detour guidance on road conditions according to the judged road traffic running state, wherein the information display mode comprises issuing characters, voice information, visual graphics (such as traffic jam thermodynamic diagrams) and the like.
While the preferred embodiments of the present invention have been illustrated and described, it will be understood by those skilled in the art that various changes in form and details may be made therein without departing from the spirit and scope of the invention as defined by the appended claims.
Claims (5)
1. A traffic state discrimination method based on checkpoint data is characterized in that: the method comprises the following steps:
collecting traffic basic data through a bayonet;
preprocessing the acquired traffic basic data;
analyzing and judging the preprocessed traffic basic data by adopting an improved traffic state judging algorithm to obtain a road traffic state, wherein the improved traffic state judging algorithm analyzes and judges according to the road length, the vehicle free flow speed, the traffic signal period, the vehicle actual travel time and the green signal ratio coefficient of a signal lamp;
the step of analyzing and distinguishing the preprocessed traffic basic data by adopting an improved traffic state distinguishing algorithm to obtain the road traffic state comprises the following steps:
calculating the ideal travel time of the vehicle road section of the road to be analyzed, wherein the calculation formula of the ideal travel time of the vehicle road section is as follows: t is tmin＝S/VmaxWherein t isminIdeal travel time for a vehicle road section, S length of road to be analyzed, VmaxIs the vehicle free stream velocity;
calculating the actual vehicle travel time of the road to be analyzed according to the preprocessed traffic basic data; determining the running state of the vehicle according to the calculated ideal travel time of the vehicle road section and the actual travel time of the vehicle;
determining the traffic running state of the road to be analyzed according to the running state of the vehicle;
the traffic basic data comprises the license plate number and the passing time of each vehicle passing through the intersection; the step of preprocessing the acquired traffic basic data comprises the following steps:
acquiring and performing data completion on the traffic basic data;
carrying out data cleaning on the traffic basic data after data completion;
the step of acquiring and performing data completion on the traffic basic data comprises the following steps:
obtaining and comparing and analyzing the traffic basic data to obtain data of vehicles which are not missed to be detected and data of vehicles which are not missed to be detected;
completing the data of the vehicles which are not missed to be detected according to the data of the vehicles which are not missed to be detected to obtain the completed traffic basic data;
the step of completing the data of the vehicles which are not missed to be detected according to the data of the vehicles which are not missed to be detected to obtain the traffic basic data after completion comprises the following steps:
acquiring vehicle passing record data of a missed vehicle and a vehicle which is not missed in the two adjacent gates;
the missed-detection vehicle refers to a vehicle with a known passing time at a gate and an unknown license plate record; the vehicle which is not missed to be detected refers to the vehicle with known passing time and license plate records of the corresponding gate;
according to the acquired vehicle passing record data of the missed-detection vehicle and the non-missed-detection vehicle, the vehicle passing time difference of the missed-detection vehicle and the non-missed-detection vehicle at two adjacent gates is calculated, and the calculation formula of the vehicle passing time difference is as follows: Δ tA＝|tA1-tAi|、ΔtB＝|tBj-tBiL, where Δ tAFor missing inspectionTime difference, delta t, between passing vehicles at the first gate and passing vehicles without missed detectionBThe passing time difference of the missed-detection vehicle and the non-missed-detection vehicle at the second gate is tA1Time t of passing vehicle through first gate for missed inspectionAiTime t of passing vehicle through first gate for passing vehicle without missing inspectionBjTime t of passing vehicle through second gate for missed detectionBiThe passing time of the vehicle passing through the second bayonet is the time when the vehicle is not missed;
calculating delta t according to the passing time difference of the missed-detection vehicle and the missed-detection vehicle at two adjacent gatesAAnd Δ tBThe difference between the two passing time differences, Δ tAAnd Δ tBThe difference Δ T between these two passing time differences is calculated as: Δ T ═ Δ TA-ΔtBL, where Δ tAThe time difference of passing of the vehicle without missing inspection at the first gate is delta tBThe time difference between passing vehicles of a missed vehicle and a vehicle which is not missed is obtained at the second gate, and delta T is the difference between the time differences of the two passing vehicles;
obtaining the minimum value Min Delta T of the calculated Delta T, judging whether the Min Delta T meets the set threshold requirement, if so, detecting the passing time T of the vehicle passing through the first gate by omissionA1The passing time of the missed-detection vehicle passing through the first gate after data completion is taken as the passing time of the missed-detection vehicle; and otherwise, returning to the step of calculating the passing time difference between the missed-detection vehicle and the non-missed-detection vehicle at two adjacent gates according to the acquired passing record data of the missed-detection vehicle and the non-missed-detection vehicle.
2. The traffic state discrimination method based on checkpoint data as claimed in claim 1, wherein: the step of cleaning the traffic basic data after completing the data comprises the following steps:
calculating the time recording difference of the vehicle between any two adjacent gates according to the supplemented traffic basic data;
sorting the calculated time recording differences to obtain a minimum time recording difference;
judging whether the vehicle is between any two adjacent gates according to the minimum time recording differenceWhether the time recording difference meets the condition that delta t is more than or equal to min (delta t)n) If yes, information of the vehicle is removed; otherwise, no processing is performed, wherein Δ t represents a time recording difference between two adjacent gates of the vehicle, λ is a green ratio coefficient of a signal lamp in front of the vehicle driving direction, C is a total period length of the signal lamp in front of the vehicle driving direction, and min (Δ t)n) The difference is recorded for the minimum time.
3. The traffic state discrimination method based on checkpoint data as claimed in claim 1, wherein: the step of determining the running state of the vehicle according to the calculated ideal travel time of the vehicle road section and the actual travel time of the vehicle is specifically as follows:
and judging the running state of the vehicle according to the ideal travel time of the vehicle road section, the actual travel time of the vehicle and the green ratio coefficient of a signal lamp in front of the driving direction of the vehicle:
if tmin≤t<tminIf the + C (1-lambda) is judged, the running state of the vehicle is smooth;
if tmin+(1-λ)C≤t<tminC (2-lambda), judging that the running state of the vehicle is slow;
if tmin+(2-λ)C≤t<tminC, judging that the running state of the vehicle is congestion;
wherein, tminThe ideal travel time of the vehicle road section, t, lambda, the green ratio coefficient of the signal lamp in front of the vehicle driving direction and C, the total period time of the signal lamp in front of the vehicle driving direction.
4. The traffic state discrimination method based on checkpoint data as claimed in claim 1, wherein: the step of determining the traffic running state of the road to be analyzed according to the running state of the vehicle comprises the following steps:
counting the number of vehicles corresponding to all the running states in the candidate range in the road to be analyzed according to the running states of the vehicles;
selecting the running state corresponding to the maximum number of vehicles as the current traffic running state;
judging whether the current traffic running state meets a set index, if so, taking the current traffic running state as the traffic running state of the road to be analyzed; and otherwise, modifying the candidate range and returning to the step of counting the number of the vehicles corresponding to all the running states in the candidate range in the road to be analyzed according to the running states of the vehicles.
5. A traffic state discrimination method based on checkpoint data as claimed in any one of claims 1 to 4, characterized in that: further comprising the steps of:
and according to the road traffic running state, carrying out visual information display and detour guidance on the road traffic condition.
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