CN111899506A - Traffic overflow judging method based on electronic police data - Google Patents
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Abstract
The invention provides a traffic overflow judging method based on electronic police data, which adopts vehicle delay and vehicle driving-off time data, calculates the starting wave speed of a saturated road section by utilizing a traffic wave kinematics theory, and judges the time required by the starting wave of a green light starting time to each vehicle; determining the head vehicles of the vehicles which are arranged in a period according to the periodic rule under the oversaturated state of the vehicles; and judging whether the target vehicle has a traffic overflow state or not by using the difference between the driving-away time of the head vehicle and the driving-away time of the target vehicle, and performing accurate verification by using a VISSIM (virtual visual identification system) model. The method can accurately judge the occurrence of the vehicle overflow of the urban road and effectively prevent the occurrence of the supersaturated overflow.
Description
Technical Field
The invention relates to a traffic overflow judging method based on electronic police data.
Background
With the continuous development of social economy, the motor vehicle reserve is increased for years, and by 2018, the automobile reserve is increased by 2285 thousands of vehicles and reaches 2.4 hundred million vehicles, the contradiction between limited road resources and vehicles is increasingly excited, and the adverse effects on the living environment, the traffic trip and the like of people are caused. Signalized intersections are important components of urban traffic, and the design, signal control, phase design and the like of the intersections can influence the running efficiency of the traffic. The contradiction between the demand of the motor vehicles and road resources is increasingly excited in the morning and evening.
Traffic overflow phenomena often occur, overflow of one intersection often spreads to surrounding intersections, and overflow phenomena such as 'locking' and the like of a road network occur. Therefore, congestion overflow is reasonably and effectively prevented, the basis of intelligent traffic development is formed, and human resources are effectively reduced.
Disclosure of Invention
The invention aims to provide a traffic overflow judging method based on electronic police data.
In order to solve the above problems, the present invention provides a traffic overflow determination method based on electronic police data, comprising:
step S1, acquiring vehicle traffic data from the START system, and detecting the wave speed of the START wave and the time required for reaching each vehicle on the upstream and downstream saturated road sections by using the kinematics rule of the traffic wave;
step S2, based on the starting wave speed on the upstream and downstream saturated road sections and the time required for reaching each vehicle, discharging at a fixed saturated flow rate under the condition of vehicle supersaturation, and determining the overflow range interval and the head-vehicle driving-away time in the period according to the collected vehicle data information of the same lane group;
step S3, judging whether the target vehicle is in the overflow range interval, meanwhile, calculating the difference of the driving-away time of the target vehicle and the head vehicle of the queuing vehicle, and judging whether the target vehicle overflows according to the difference of the driving-away time;
step S4, constructing a VISSIM simulation model based on the judgment result of whether the target vehicle overflows, setting parameters according to the assumed conditions of the overflow model, and verifying the accuracy of the VISSIM simulation model.
Further, in the above method, in the step S1, the vehicle traffic data includes:
vehicle delay, vehicle driving-away time data, road section length and signal timing data, namely traffic light cycle duration.
Further, in the above method, in the step S1, the kinematics of the traffic wave is analyzed from the aspect of physical movement of the vehicle to determine the wave velocity of the starting wave, and the time of the starting wave reaching each vehicle in the queue at the green light start time is determined by using the relationship among the link length, the wave velocity and the time.
Further, in the above method, the step S2 includes:
in the case of oversaturation, the vehicles are discharged at a saturated flow rate in a green light time period, and the head vehicles of the queued vehicles are found by means of a vehicle discharge law, wherein the head vehicle departure time of the queued vehicles within an overflow period n is first determined
Arrival time of last team random vehicle
Namely, it is
tsAs the time of vehicle departure, txIs the vehicle travel time.
Further, in the above method, in the step S2, in determining the overflow range section and the head-car separation time in the cycle,
the upper limit and the lower limit of the overflow range interval are related to the state of a signal lamp when the tail end of the queued vehicle reaches a downstream road section and the length of the road section, and if the signal of the intersection is a red lamp when the overflow vehicle reaches, the upper limit of the overflow is correspondingly set; and if the intersection signal is green when the overflowing vehicle arrives, the overflow lower limit is correspondingly set.
Further, in the method, in the step S3, the time difference is obtained by the following equation:
in the formula: t is the difference between the vehicle departure times,
for the target vehicle departure time within the overflow period n,
the first vehicle driving-away time in the overflow period n.
Further, in the above method, in the step S3, the difference between the driving-away times is different depending on the length of the link and the number of vehicles with green light emission.
Further, in the above method, in step S4, in order to verify the accuracy of the model, two different models are designed in combination with whether the intersection is a long road section or a short road section.
Compared with the prior art, the invention obtains the travel time of the vehicle on the road section through the electronic police at the upstream and downstream, calculates the total starting wave speed and the time of arriving the vehicle in the queuing process by combining the traffic flow kinematics rule, determines the head car of the queued vehicle by using the arrival time and the departure time of the vehicle under the condition of ensuring the data integrity, efficiently establishes an overflow judgment model according to the difference between the departure times of the head car and the target vehicle, combines the accuracy of a VISSIM simulation verification model, reduces queuing overflow to the maximum extent, improves the traffic operation efficiency, relieves the contradiction between roads and vehicles, and promotes the management of a traffic control system.
Drawings
FIG. 1 is a flow chart diagram of a method of discriminating queue overflow;
FIG. 2 is a schematic diagram of an electronic police officer;
FIG. 3 is a schematic diagram of vehicle in-line overflow;
FIG. 4 is a supersaturated vehicle overflow generating mechanism;
FIG. 5 is a VISSIM model of a short segment;
FIG. 6 is a VISSIM model of a long road segment;
FIG. 7 is a short leg vehicle overflow data plot of the present invention;
FIG. 8 is a graph of long haul vehicle overflow data in accordance with the present invention.
Detailed Description
In order to make the aforementioned objects, features and advantages of the present invention comprehensible, embodiments accompanied with figures are described in further detail below.
FIG. 1 is a flow chart diagram of a method of discriminating queue overflow; FIG. 2 is a schematic diagram of an electronic police officer; FIG. 3 is a schematic diagram of vehicle in-line overflow; FIG. 4 is a supersaturated vehicle overflow generating mechanism; FIG. 5 is a VISSIM model of a short segment; FIG. 6 is a VISSIM model of a long road segment; FIG. 7 is a short leg vehicle overflow data plot of the present invention; FIG. 8 is a graph of long haul vehicle overflow data in accordance with the present invention.
As shown in fig. 1, the present invention provides a method for discriminating traffic overflow based on electronic police data, comprising:
step S1, acquiring vehicle traffic data from the START system, and detecting the wave speed of the START wave and the time required for reaching each vehicle on the upstream and downstream saturated road sections by using the kinematics rule of the traffic wave;
specifically, the driving data of the vehicle on the road section is acquired by electronic polices on the upstream and downstream of the road section, the electronic polices on two adjacent road sections can monitor the moment when the vehicle drives away from a stop line, and the delay of the vehicle can be effectively solved by combining the free flow speed and the time detected by the road section;
the electronic police data can be collected, the data is preprocessed, abnormal data is checked, and missing data is made up;
step S2, based on the starting wave speed on the upstream and downstream saturated road sections and the time required for reaching each vehicle, discharging at a fixed saturated flow rate under the condition of vehicle supersaturation, and determining the overflow range interval and the head-vehicle driving-away time in the period according to the collected vehicle data information of the same lane group;
the method comprises the steps that by utilizing a kinematic rule of a traffic wave on a road section, the speed of a free flow of the road section and the length of the road section are used as independent variables, and the propagation wave speed and the propagation time of a starting wave on a saturated road section are solved;
step S3, judging whether the target vehicle is in the overflow range interval, meanwhile, calculating the difference of the driving-away time of the target vehicle and the head vehicle of the queuing vehicle, and judging whether the target vehicle overflows according to the difference of the driving-away time;
specifically, a fixed number theory can be taken as a theoretical basis, and a delay and queue length and driving track model can be established by combining the relationship between delay and queue length;
step S4, constructing a VISSIM simulation model based on the judgment result of whether the target vehicle overflows, setting parameters according to the assumed conditions of the overflow model, and verifying the accuracy of the VISSIM simulation model.
Specifically, the category of the vehicle oversaturation queuing overflow can be analyzed according to a vehicle overflow model mechanism, and an overflow and delay distinguishing model is established.
The invention obtains the travel time of the vehicle on the road section through the electronic police at the upstream and downstream, calculates the total starting wave speed and the time of arriving the vehicle in the queuing process by combining the traffic flow kinematics rule, determines the head vehicle of the queued vehicle by using the arrival time and the departure time of the vehicle under the condition of ensuring the data integrity, efficiently establishes an overflow judgment model according to the difference of the departure time of the head vehicle and the target vehicle, combines the accuracy of a VISSIM simulation verification model, reduces queuing overflow to the maximum extent, improves the traffic operation efficiency, relieves the contradiction between the road and the vehicle, and promotes the management of a traffic control system.
In an embodiment of the method for determining traffic overflow based on electronic police data, in step S1, the vehicle traffic data includes:
vehicle delay, vehicle driving-away time data, road section length and signal timing data, namely traffic light cycle duration.
In an embodiment of the method for determining traffic overflow based on electronic police data according to the present invention, in step S1, the kinematics theory of the traffic wave is analyzed from the aspect of physical movement of the vehicle to further determine the wave velocity of the start wave, and the time of the start wave reaching each queued vehicle at the green light start time is determined by using the relationship among the link length, the wave velocity and the time.
In an embodiment of the method for determining traffic overflow based on electronic police data, the step S2 includes:
discharging the vehicle at a saturated flow rate during a green light period under over-saturation conditions, utilizing vehicle discharge lawsFinding the head vehicle of the queued vehicle, wherein the head vehicle departure time of the queued vehicle within the overflow period n is first determined
(i.e., determining the first vehicle), the arrival time of the last random vehicle
Namely, it is
tsAs the time of vehicle departure, txIs the vehicle travel time.
In an embodiment of the method for determining traffic overflow based on electronic police data, in step S2, in the overflow range section and the head-car driving-away time in the cycle,
the upper limit and the lower limit of the overflow range interval are related to the state of a signal lamp when the tail end of the queued vehicle reaches a downstream road section and the length of the road section, and if the signal of the intersection is a red lamp when the overflow vehicle reaches, the upper limit of the overflow is correspondingly set; and if the intersection signal is green when the overflowing vehicle arrives, the overflow lower limit is correspondingly set.
In an embodiment of the method for determining traffic overflow based on electronic police data according to the present invention, in step S3, the time difference is obtained by the following formula:
in the formula: t is the difference between the vehicle departure times,
for the target vehicle departure time within the overflow period n,
the first vehicle driving-away time in the overflow period n.
In an embodiment of the method for determining traffic overflow based on electronic police data according to the present invention, in the step S3, the difference between the driving times is different according to the length of the road and the number of vehicles emitting green lights.
In an embodiment of the method for judging traffic overflow based on electronic police data, in step S4, two different models are designed in order to verify the accuracy of the models and combine the intersection as a long road section or a short road section.
Specifically, in step S1, the electronic police generally comprises a high-definition digital camera and an induction coil, the electronic police are installed in all four directions of the intersection a and the intersection B, when the vehicle passes through the stop line, the induction coil buried underground is triggered to start the digital camera to shoot, and the electronic police take a snapshot of the license plate picture and the timestamp T of the vehicle.
Taking a road segment L from the intersection A to the intersection B as an example, a vehicle drives out a stop line from the intersection A and drives out the stop line from the intersection B, and the travel time of the vehicle on the road segment is obtained by the following formula:
T＝TB-TA
in the formula: t is the travel time of the vehicle on the road section; t isATime of vehicle driving off the stop line of intersection A, TBThe time when the vehicle leaves the stop line at the intersection B.
In step S1, the data is processed, and there are several cases of data abnormality: the vehicle stays too long on the road section due to self reasons, so that the travel time is too long; if the electronic police equipment at the downstream intersection fails or is not installed, part of vehicles cannot be detected; the travel time of a special vehicle, such as an ambulance, a police car, a military vehicle and the like, with an emergency.
In step S2, a starting wave model based on kinematics is established according to the kinematics characteristics of the starting wave, and the starting wave velocity is obtained according to the following formula:
in the formula: u. ofqFor starting wave velocity, u is free stream driving velocity, h is saturated headway, kjTo block density, LiFor queue length, n queues are number of vehicles, Q is single in saturationThe time required for the vehicle to pass through the intersection. In step S2, the time at which the start wave reaches each vehicle is obtained by the following equation:
in the formula: n isiFor the ith vehicle in line, LiFor the length of the queue of the ith vehicle
In step S3, the delay and the vehicle queue have a linear relationship, the queue length and the delay belong to a one-to-many relationship, a queue length value may be caused by multiple factors to stop, and the corresponding vehicle delays are different, on the basis, the queue length and the overflow relationship is used, that is, L is greater than or equal to LiWhen the vehicle is deemed to be overflowing, L is less than LiThen the queue overflows.
In step S4, in order to calculate the value of the vehicle overflow section on the road section, it is necessary to determine the upstream intersection O when the last vehicle arrives at the target road section1The signal light state of (1). In a state where it is assumed that the vehicle has overflowed, O is reached if the last vehicle in the fleet arrives1Is a green light, i.e.
The overflow lower limit. If the last vehicle in the team arrives at the red light, i.e. the vehicle is on the red light
Then the overflow upper limit.
Queuing vehicles at O taking into account the length between two adjacent signalized intersections1O2The emptying time between intersections is generally divided into one cycle or a plurality of cycles. Therefore, two cases, m-0 and m-1, need to be considered. When m is 0, the maximum vehicle accommodating quantity of the road section is less than the number of vehicles discharging green lights, namely L < LcX n'; m is 1, the maximum vehicle accommodating quantity of the road section is more than or equal to the number of vehicles discharged from green light, namely L is more than or equal to Lc×n′。
n′＝g/Q
When m is 0 and
time of flight
When m is 0 and
time of flight
When m is 1 and
time of flight
When m is 1 and
time of flight
In the formula: l is the length of the road section, LmaxFor queue length, Q is the number of vehicles discharged in the green period, r is the duration of the red period, LcTo saturate the headway, uqTo velocity of the initiating wave, tqTo initiate wave time, t1To delay.
The equipment and simulation environment introduction used by the invention are as follows:
simulation environment: version 7.0 of VISSIM, in the present invention, the data model is verified by simulation in VISSIM, providing support for verifying the reliability and accuracy of the model.
First, start wave research of vehicles queued on road section
The research of the problem mainly starts from two aspects of the physical behavior of the traffic flow and the starting wave propagation principle.
Physical act of parking and starting in traffic flow
During the running process of the vehicle on the road section, the red light causes the vehicle to stop at the stop line, during the process, a stop wave which propagates towards the opposite direction of the vehicle is formed, and when the green light is started, the vehicle runs away from the stop line, and a starting wave which propagates backwards in the travel.
(II) principle of starting wave propagation
Assuming that the fleet vehicles are similar, analyzing the propagation process of the start wave by taking the example that the start wave is transmitted from the nth vehicle to the (n + 1) th vehicle as an example, the distance between the nth vehicle and the (n + 1) th vehicle on the road section at the time t and the stop line are respectively XnAnd Xn+1The vehicle free-run speed is u, at which time the vehicle n starts acceleration start, and the (n + 1) th vehicle starts acceleration start after t'. The nth vehicle is at tnAt the moment, the vehicle leaves the stop line, and the n +1 th vehicle is at tn+1The vehicle is driven away from the stop line at all times.
Second, delay and overflow model study
The research of the problem mainly starts from two aspects of delay and queuing and overflow principles, and further derives the relationship between delay and overflow.
Delay and queue study
Under the oversaturation state, the number of vehicle queuing delay models is large, the number of solution average values is large, and the calculation of the vehicle delay and the queuing length is small. The method comprises the steps of dividing queued vehicles by periods by utilizing vehicle delay data acquired by an electronic police, and establishing a delay and vehicle queuing model by combining arrival-discharge curves and combining the time when the vehicles leave a stop line.
The model combines the running track of the vehicle and the actual running delay by utilizing the electric alarm data, the horizontal line is uniformly expressed as the delay time of the vehicle, and the vertical line is the queuing length of the vehicle at different moments. Region I represents the arrival-emission curve region and II represents the vehicle delay-queue length relationship. The broken line of the area II represents the two-dimensional plane travel trajectory of each vehicle, and the horizontal part is the delay time of the vehicle. The horizontal distance of the two fold lines represents the headway between two adjacent vehicles.
In region I, the horizontal represents the delay time of each vehicle and the vertical lines are the queue lengths at different instants. The total delay time of the vehicle in cycles can be obtained according to the arrival and emission curves.
The average delay of the vehicle can be obtained by the formula
Region II indicates the queuing length and delay time of each vehicle, i.e. the blocking process of each vehicle, e.g. delay of single vehicle a
Da＝Delay1+Delay2
The other vehicle delays are calculated according to the method.
(II) delay and overflow relation model analysis
Vehicles form a queue-back phenomenon from the stop line due to the red light, and overflow is an extreme case of queuing, i.e. the number of queued vehicles exceeds the maximum number of loaded vehicles on the road section, i.e. the queuing length is longer than the road section length. And (3) deducing the relation between delay and overflow by combining delay and queuing models, judging whether the vehicle overflows or not according to the delay of the vehicle, and taking the queued vehicle in the same period as a research area. According to overflow mechanism analysis, overflow of the oversaturated intersection is divided into two types: the two types of the road section are the upper limit condition and the lower limit condition of the overflow interval, namely the red light of the road section when the overflow vehicle reaches the road section, the green light of the road section when the overflow vehicle reaches the road section, the overflow upper limit condition is met when the red light is met, the overflow lower limit condition is met when the green light is met, and the delay of the overflow vehicle on the road section consists of the time of the starting wave reaching the vehicle and the time of waiting for the red light.
ty＝tq+tr
Considering the length between two adjacent signalized intersections, namely the maximum vehicle capacity of the road section and the number of vehicles discharged in the green light period, two situations can be considered: the short-circuit section, namely one green light period, can discharge vehicles on the road section, and is represented by m-0; the long road section is a vehicle queue requiring a plurality of periodic discharge road sections, and is represented by m-1. Thus, the overflow delay upper and lower limits are in two different cases
The overflow lower limit open interval is:
the overflow upper limit open interval is:
in the formula: n is the maximum number of vehicles in the road section, u is the free running speed of the vehicles in the road section, L is the queuing length of the vehicles, and L is the maximum number of the vehicles in the road sectioncTo saturate the inter-vehicle spacing.
Delay and queuing are in a one-to-many relationship, one delay value can correspond to different queuing conditions, and in order to further judge whether vehicles overflow, an algorithm is needed to further judge whether overflow occurs in an interval. The key of the algorithm is to determine the difference between the first vehicle driving-off time and the target vehicle driving-off time in the queuing period of the target vehicle, namely
In the formula: t' is the difference between the vehicle driving-off times,
at the moment when the target vehicle is driven off the stop line,
the moment when the first car in the queue drives off the stop line.
The vehicle overflow discrimination algorithm of the short-circuit section is as follows:
t′＞tq+tz
in the formula: t is tqTime required for the starting wave to reach the vehicle, tzFree stream travel time during green light
The vehicle overflow distinguishing algorithm of the long road section comprises the following steps:
in the formula: x is the integer ratio of the two.
Third, overflow simulation model
In order to verify the accuracy of the model, a VISSIM simulation model is adopted for model verification, factors such as restricted vehicles, special vehicles, weather conditions and surrounding road network influences can be eliminated by using the VISSIM, and parameters such as simulated designed road sections, traffic flow, traffic proportion, signal timing and the like are set according to actual conditions.
Due to the relation of the lengths of the road sections, two different VISSIM models of a long road section and a short road section are established. Two intersections are established, namely a three-phase intersection and a four-phase intersection which are directly discharged from the left to the right from the south and the north, and the phase setting of the phase sequence of the signal lamp between the two adjacent intersections belongs to coordination control. Vehicle overflow of the oversaturated discharge period is calculated, respectively. Although the embodiments of the present invention have been described with reference to the accompanying drawings, it is not intended to limit the scope of the present invention, and it should be understood by those skilled in the art that various modifications and variations can be made without inventive efforts by those skilled in the art based on the technical solution of the present invention.
Table 1 is a case intersection traffic parameter table:
TABLE 1
The calculated saturated emission of the short-circuit section simulation is 1.7s/pcu, and the calculated saturated emission of the long-distance section simulation is 1.8s/pcu
Table 2 shows estimated values and actual values of the startup wave:
TABLE 2
Table 3 compares the overflow factor and the model accuracy:
TABLE 3
In conclusion, the method adopts the data of vehicle delay and vehicle driving-away time, utilizes the traffic wave kinematics theory to calculate the starting wave speed of the saturated road section, and judges the time required by the starting wave of the green light starting time to each vehicle; determining the head vehicles of the vehicles which are arranged in a period according to the periodic rule under the oversaturated state of the vehicles; and judging whether the target vehicle has a traffic overflow state or not by using the difference between the driving-away time of the head vehicle and the driving-away time of the target vehicle, and performing accurate verification by using a VISSIM (virtual visual identification system) model. The method can accurately judge the occurrence of the vehicle overflow of the urban road and effectively prevent the occurrence of the supersaturated overflow.
The embodiments in the present description are described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same and similar parts among the embodiments are referred to each other.
Those of skill would further appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, computer software, or combinations of both, and that the various illustrative components and steps have been described above generally in terms of their functionality in order to clearly illustrate this interchangeability of hardware and software. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
It will be apparent to those skilled in the art that various changes and modifications may be made in the invention without departing from the spirit and scope of the invention. Thus, if such modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include such modifications and variations.
Claims (8)
1. A traffic overflow judging method based on electronic police data is characterized by comprising the following steps:
step S1, acquiring vehicle traffic data from the START system, and detecting the wave speed of the START wave and the time required for reaching each vehicle on the upstream and downstream saturated road sections by using the kinematics rule of the traffic wave;
step S2, based on the starting wave speed on the upstream and downstream saturated road sections and the time required for reaching each vehicle, discharging at a fixed saturated flow rate under the condition of vehicle supersaturation, and determining the overflow range interval and the head-vehicle driving-away time in the period according to the collected vehicle data information of the same lane group;
step S3, judging whether the target vehicle is in the overflow range interval, meanwhile, calculating the difference of the driving-away time of the target vehicle and the head vehicle of the queuing vehicle, and judging whether the target vehicle overflows according to the difference of the driving-away time;
step S4, constructing a VISSIM simulation model based on the judgment result of whether the target vehicle overflows, setting parameters according to the assumed conditions of the overflow model, and verifying the accuracy of the VISSIM simulation model.
2. The method for discriminating traffic overflow based on electronic police data as set forth in claim 1, wherein in said step S1, said vehicle traffic data includes:
vehicle delay, vehicle driving-away time data, road section length and signal timing data, namely traffic light cycle duration.
3. The method for determining traffic overflow based on electronic police data as set forth in claim 1, wherein in step S1, the kinematics of the traffic wave is analyzed from the aspect of physical movement of vehicles to obtain the velocity of the starting wave, and the time of the starting wave reaching each vehicle in line is determined by using the relationship among the length of the road, the velocity of the wave and the time.
4. The method for discriminating traffic overflow based on electronic police data as claimed in claim 1, wherein said step S2 comprises:
in the case of oversaturation, the vehicles are discharged at a saturated flow rate in a green light time period, and the head vehicles of the queued vehicles are found by means of a vehicle discharge law, wherein the head vehicle departure time of the queued vehicles within an overflow period n is first determined
Arrival time of last team random vehicle
Namely, it is
tsAs the time of vehicle departure, txIs the vehicle travel time.
5. The method for discriminating traffic overflow based on electronic police data as set forth in claim 1, wherein in step S2, the overflow range section and the head-car driving-away time in the cycle are determined,
the upper limit and the lower limit of the overflow range interval are related to the state of a signal lamp when the tail end of the queued vehicle reaches a downstream road section and the length of the road section, and if the signal of the intersection is a red lamp when the overflow vehicle reaches, the upper limit of the overflow is correspondingly set; and if the intersection signal is green when the overflowing vehicle arrives, the overflow lower limit is correspondingly set.
6. The method for determining traffic overflow based on electronic police data as set forth in claim 1, wherein in step S3, the time difference is obtained by the following equation:
in the formula: t is the difference between the vehicle departure times,
for the target vehicle departure time within the overflow period n,
the first vehicle driving-away time in the overflow period n.
7. The method for determining traffic overflow based on electronic police data as claimed in claim 1, wherein in step S3, the difference between the driving-away times varies with the length of the road and the number of vehicles emitting green light.
8. The method for judging traffic overflow based on electronic police data as claimed in claim 1, wherein in step S4, in order to verify the accuracy of the model, two different models are designed in combination with whether the intersection is a long road section or a short road section.
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