CN104392607A - Method and device for identifying traffic conditions - Google Patents
Method and device for identifying traffic conditions Download PDFInfo
- Publication number
- CN104392607A CN104392607A CN201410659333.5A CN201410659333A CN104392607A CN 104392607 A CN104392607 A CN 104392607A CN 201410659333 A CN201410659333 A CN 201410659333A CN 104392607 A CN104392607 A CN 104392607A
- Authority
- CN
- China
- Prior art keywords
- crossing
- vehicle
- stop frequency
- predetermined period
- section
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Classifications
-
- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
-
- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/052—Detecting movement of traffic to be counted or controlled with provision for determining speed or overspeed
Landscapes
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Chemical & Material Sciences (AREA)
- Analytical Chemistry (AREA)
- Traffic Control Systems (AREA)
Abstract
The invention relates to the traffic control field and provides a method and a device for identifying traffic conditions in one embodiment. The method comprises the following steps: the traffic data comprising at least vehicle signs and vehicle passing time at a first intersection and a second intersection are obtained, wherein the second intersection is adjacent to the first intersection, the average speed of vehicles passing through the first intersection from the second intersection within a preset period is determined according to the vehicle signs and the vehicle passing time, next, the maximum parking times of vehicles from the second intersection to the first intersection within the preset period are determined, and the length of a vehicle queue is determined according to the maximum parking times; the traffic conditions of the road segment from the second intersection to the first intersection within the preset period are determined according to the average speed, the maximum parking times and the length of the vehicle queue.
Description
Technical field
The present invention relates to field of traffic control, particularly relate to a kind of traffic state judging method and device.
Background technology
Traffic state judging is the earliest mainly to detect for the purpose of traffic events, along with the continuous increase of vehicle on urban road, it is very general that the normal property sent out is blocked up and become, and therefore the object of traffic state judging changes to differentiate that the normal property sent out is blocked up, and controls and induction with additional transport signal.The data judging mainly to obtain with single detecting device of current traffic behavior as according to judging, cause False Rate higher.Although also there is a few studies to make use of video detector, microwave detector, the detection data that RFID detecting device etc. obtain, because the installation of these detecting devices is general, therefore these methods will be applied to reality and also have larger difficulty.In addition, existing method does not consider the subjective feeling of driver when differentiating, the differentiation result obtained and to be not easy accept by driver, also therefore cause the traffic state judging result of the traffic route obtained to be difficult to obtain widespread use in practice.
In sum, also do not have a kind of accuracy high at present and the traffic state judging method that practical application is strong, control with additional transport signal.
Summary of the invention
The embodiment of the present invention provides a kind of traffic state judging method and device, low and differentiate result unspecific problem in order to solve traffic state judging accuracy rate in prior art.
A kind of traffic state judging method that the embodiment of the present invention provides, comprising:
Obtain the traffic data of the first crossing and the second crossing, described traffic data at least comprises vehicles identifications and vehicle by the time, and wherein said second crossing is the Adjacent Intersections of described first crossing;
The average velocity from described second crossing by the vehicle of described first crossing in predetermined period is determined by the time according to described vehicles identifications and described vehicle, and determine maximum stop frequency from described second crossing to the vehicle of described first crossing in predetermined period, and determine vehicle queue length according to described maximum stop frequency;
Determine in described predetermined period from described second crossing to the traffic behavior in the section in described first direction, crossing according to described average velocity, described maximum stop frequency and described vehicle queue length.
Preferably, describedly to determine in described predetermined period, from described second crossing to before the traffic behavior in the section in described first direction, crossing, also to comprise according to described average velocity, described maximum stop frequency and described vehicle queue length:
Described section is divided into M cross-talk section, wherein M be greater than 0 positive integer.
Preferably, describedly determine the average velocity from described second crossing by the vehicle of described first crossing in predetermined period according to described vehicles identifications and described vehicle by the time, comprising:
Determine the average stroke duration of vehicle from described second crossing by described first crossing in described predetermined period according to described vehicles identifications and described vehicle by the time, and determine the average velocity of vehicle according to described average stroke duration and the distance between described second crossing and described first crossing.
Preferably, determine the maximum stop frequency from described second crossing to the vehicle of described first crossing in predetermined period, comprising:
The average stroke duration of vehicle from described second crossing by described first crossing is determined by the time according to described vehicles identifications and described vehicle, and the stroke duration of each car;
Red light duration according to described average stroke duration and described first crossing determines the time critical values that secondary is queued up;
Determine the stop frequency of each car according to the stroke duration of each car and the time critical values of described secondary queuing, determine maximum stop frequency by the stop frequency of each car.
Preferably, the described red light duration according to described average stroke duration and described first crossing is determined and is comprised the time critical values that secondary is queued up:
If the difference of described average stroke duration and preset duration is more than or equal to described red light duration, then the time critical values that described secondary is queued up is described preset duration and described red light duration sum;
Otherwise the time critical values that described secondary is queued up is equal with described preset duration.
Preferably, the time critical values that the described stroke duration according to each car and described secondary are queued up determines the stop frequency of each car, comprising:
For a jth car, the stop frequency P of described vehicle
jfor:
If T
j≤ T
l, then P
j≤ 1; Otherwise,
Wherein, T
jrepresent the stroke duration of a jth car, T
lrepresent that the time critical values that described secondary is queued up, C represent the traffic lights cycle duration of described first crossing.
Preferably, describedly determine vehicle queue length according to the maximum stop frequency of described vehicle, comprising:
Judge whether the maximum stop frequency of described vehicle is less than or equal to 1, if so, then determines described vehicle queue length by following formula:
Wherein, L represents described vehicle queue length, and N represents the vehicle number from described second crossing by the vehicle of described first crossing in described predetermined period, and C represents the traffic lights cycle duration of described first crossing, R represents the red light duration of described first crossing, h
srepresent the average headway of the queuing vehicle preset;
Otherwise, judge whether the maximum stop frequency of described vehicle is integer, if not integer, then determines described vehicle queue length by following formula:
Wherein, L represents described vehicle queue length, and N represents the vehicle number from described second crossing by the vehicle of described first crossing in described predetermined period, and n represents the number of track-lines from described second crossing to described first direction, crossing, P
maxrepresent the maximum stop frequency of described vehicle, z is for meeting P
max-1<z≤P
maxpositive integer, h
srepresent the average headway of the queuing vehicle preset,
represent the vehicle number of z predetermined period before described predetermined period by described first crossing;
Otherwise determine described vehicle queue length by following formula:
Wherein, L represents described vehicle queue length, and N represents the vehicle number from described second crossing by the vehicle of described first crossing in described predetermined period, and n represents the number of track-lines from described second crossing to described first direction, crossing, P
maxrepresent the maximum stop frequency of described vehicle, h
srepresent the average headway of the queuing vehicle preset,
represent the P before described predetermined period
max-1 predetermined period passes through the vehicle number of described first crossing.
Preferably, describedly to determine in described predetermined period, from described second crossing to the traffic behavior in the section in described first direction, crossing, to comprise according to described average velocity, described maximum stop frequency and described vehicle queue length:
If described average velocity is more than or equal to pre-set velocity, and described vehicle queue length is less than preset length, and described maximum stop frequency is less than or equal to default stop frequency, then determine to be in the first state from described second crossing to the traffic behavior in the section in described first direction, crossing in described predetermined period;
If described average velocity is less than pre-set velocity and described vehicle queue length is less than preset length, or described maximum stop frequency is greater than default stop frequency and described vehicle queue length is less than preset length, then determine to be in the second state from described second crossing to the traffic behavior in the section in described first direction, crossing in described predetermined period;
If described vehicle queue length is more than or equal to preset length, then determine to be in the third state from described second crossing to the traffic behavior in the section in described first direction, crossing in described predetermined period.
Preferably, describedly to determine in described predetermined period, from described second crossing to the traffic behavior in the section in described first direction, crossing, to comprise according to described average velocity, described maximum stop frequency and described vehicle queue length:
If described average velocity is more than or equal to pre-set velocity, and described vehicle queue length is less than or equal to preset length, and described maximum stop frequency is less than or equal to default stop frequency, then determine all to be in the first state from described second crossing to the traffic behavior in the first cross-talk section to the M cross-talk section in described first direction, crossing in described predetermined period, wherein, described preset length is M/mono-from described second crossing to the road section length of described first crossing;
If described average velocity is less than pre-set velocity and described vehicle queue length is less than or equal to preset length, or described maximum stop frequency is greater than default stop frequency and described vehicle queue length is less than or equal to preset length, then determine that the traffic behavior in described first cross-talk section is in the second state, the traffic behavior in the second cross-talk section to M cross-talk section is in the first state;
If described vehicle queue length is greater than preset length, then determine that the traffic behavior in described first cross-talk section is in the third state, the traffic behavior in the second cross-talk section is in the second state, and the traffic behavior in the 3rd cross-talk section to M cross-talk section is in the first state;
If described vehicle queue length is greater than E preset length doubly, and be less than or equal to F preset length doubly, then the traffic behavior in the first cross-talk section to E-1 cross-talk section is in the third state, the traffic behavior in F cross-talk section is in the second state, the traffic behavior in F+1 cross-talk section to M cross-talk section is in the first state, wherein, E and F is positive integer, and 0<E<F.
The embodiment of the present invention provides a kind of traffic state judging device, and this device comprises:
Traffic data acquiring unit, for obtaining the traffic data of the first crossing and the second crossing, described traffic data at least comprises vehicles identifications and vehicle by the time, and wherein said second crossing is the Adjacent Intersections of described first crossing;
Determining unit, for determining the average velocity from described second crossing by the vehicle of described first crossing in predetermined period according to described vehicles identifications and described vehicle by the time, and determine maximum stop frequency from described second crossing to the vehicle of described first crossing in predetermined period, and determine vehicle queue length according to described maximum stop frequency;
Traffic behavior determining unit, for determining according to described average velocity, described maximum stop frequency and described vehicle queue length in described predetermined period from described second crossing to the traffic behavior in the section in described first direction, crossing.
Preferably, described traffic behavior determining unit also for:
Described section is divided into M cross-talk section, wherein M be greater than 0 positive integer.
Preferably, described determining unit is used for:
Determine the average stroke duration of vehicle from described second crossing by described first crossing in described predetermined period according to described vehicles identifications and described vehicle by the time, and determine the average velocity of vehicle according to described average stroke duration and the distance between described second crossing and described first crossing.
Preferably, described determining unit is used for:
The average stroke duration of vehicle from described second crossing by described first crossing is determined by the time according to described vehicles identifications and described vehicle, and the stroke duration of each car;
Red light duration according to described average stroke duration and described first crossing determines the time critical values that secondary is queued up;
Determine the stop frequency of each car according to the stroke duration of each car and the time critical values of described secondary queuing, determine maximum stop frequency by the stop frequency of each car.
Preferably, described determining unit is used for:
If the difference of described average stroke duration and preset duration is more than or equal to described red light duration, then the time critical values that described secondary is queued up is described preset duration and described red light duration sum;
Otherwise the time critical values that described secondary is queued up is equal with described preset duration.
Preferably, described determining unit is used for:
For a jth car, the stop frequency P of described vehicle
jfor:
If T
j≤ T
l, then P
j≤ 1; Otherwise,
Wherein, T
jrepresent the stroke duration of a jth car, T
lrepresent that the time critical values that described secondary is queued up, C represent the traffic lights cycle duration of described first crossing.
Preferably, described determining unit is used for:
Judge whether the maximum stop frequency of described vehicle is less than or equal to 1, if so, then determines described vehicle queue length by following formula:
Wherein, L represents described vehicle queue length, and N represents the vehicle number from described second crossing by the vehicle of described first crossing in described predetermined period, and C represents the traffic lights cycle duration of described first crossing, R represents the red light duration of described first crossing, h
srepresent the average headway of the queuing vehicle preset;
Otherwise, judge whether the maximum stop frequency of described vehicle is integer, if not integer, then determines described vehicle queue length by following formula:
Wherein, L represents described vehicle queue length, and N represents the vehicle number from described second crossing by the vehicle of described first crossing in described predetermined period, and n represents the number of track-lines from described second crossing to described first direction, crossing, P
maxrepresent the maximum stop frequency of described vehicle, z is for meeting P
max-1<z≤P
maxpositive integer, h
srepresent the average headway of the queuing vehicle preset,
represent the vehicle number of z predetermined period before described predetermined period by described first crossing.
Otherwise, determine described vehicle queue length by following formula:
Wherein, L represents described vehicle queue length, and N represents the vehicle number from described second crossing by the vehicle of described first crossing in described predetermined period, and n represents the number of track-lines from described second crossing to described first direction, crossing, P
maxrepresent the maximum stop frequency of described vehicle, h
srepresent the average headway of the queuing vehicle preset,
represent the P before described predetermined period
max-1 predetermined period passes through the vehicle number of described first crossing.
Preferably, described traffic behavior determining unit is used for:
If described average velocity is more than or equal to pre-set velocity, and described vehicle queue length is less than preset length, and described maximum stop frequency is less than or equal to default stop frequency, then determine to be in the first state from described second crossing to the traffic behavior in the section in described first direction, crossing in described predetermined period;
If described average velocity is less than pre-set velocity and described vehicle queue length is less than preset length, or described maximum stop frequency is greater than default stop frequency and described vehicle queue length is less than preset length, then determine to be in the second state from described second crossing to the traffic behavior in the section in described first direction, crossing in described predetermined period;
If described vehicle queue length is more than or equal to preset length, then determine to be in the third state from described second crossing to the traffic behavior in the section in described first direction, crossing in described predetermined period.
Preferably, described traffic behavior determining unit is used for:
If described average velocity is more than or equal to pre-set velocity, and described vehicle queue length is less than or equal to preset length, and described maximum stop frequency is less than or equal to default stop frequency, then determine all to be in the first state from described second crossing to the traffic behavior in the first cross-talk section to the M cross-talk section in described first direction, crossing in described predetermined period, wherein, described preset length is M/mono-from described second crossing to the road section length of described first crossing;
If described average velocity is less than pre-set velocity and described vehicle queue length is less than or equal to preset length, or described maximum stop frequency is greater than default stop frequency and described vehicle queue length is less than or equal to preset length, then determine that the traffic behavior in described first cross-talk section is in the second state, the traffic behavior in the second cross-talk section to M cross-talk section is in the first state;
If described vehicle queue length is greater than preset length, then determine that the traffic behavior in described first cross-talk section is in the third state, the traffic behavior in the second cross-talk section is in the second state, and the traffic behavior in the 3rd cross-talk section to M cross-talk section is in the first state;
If described vehicle queue length is greater than E preset length doubly, and be less than or equal to F preset length doubly, then the traffic behavior in the first cross-talk section to E-1 cross-talk section is in the third state, the traffic behavior in F cross-talk section is in the second state, the traffic behavior in F+1 cross-talk section to M cross-talk section is in the first state, wherein, E and F is positive integer, and 0<E<F.
By the traffic data got, determine the average velocity of vehicle in predetermined period, the maximum stop frequency of vehicle, and determine vehicle queue length according to described maximum stop frequency, determine in predetermined period from the second crossing to the traffic behavior in the section in the first direction, crossing according to average velocity, maximum stop frequency and vehicle queue length.According to the method that the embodiment of the present invention provides, can be determined the traffic behavior in section by the traffic data got more accurately, differentiate that process is more detailed simultaneously, the differentiation result obtained is more concrete and be easier to driver and accept.
Accompanying drawing explanation
A kind of traffic state judging method flow diagram that Fig. 1 provides for the embodiment of the present invention;
What Fig. 2 provided for the embodiment of the present invention is schematic diagram behind M cross-talk section by the pavement section between the second crossing and the first crossing;
A kind of traffic state judging structure drawing of device that Fig. 3 provides for the embodiment of the present invention.
Embodiment
Below in conjunction with Figure of description, the embodiment of the present invention is described in detail.
As shown in Figure 1, a kind of traffic state judging method flow diagram that the embodiment of the present invention provides, the method comprises:
Step 101: the traffic data obtaining the first crossing and the second crossing, described traffic data at least comprises vehicles identifications and vehicle by the time, and wherein said second crossing is the Adjacent Intersections of described first crossing;
Step 102: determine the average velocity from described second crossing by the vehicle of described first crossing in predetermined period by the time according to described vehicles identifications and described vehicle, and determine maximum stop frequency from described second crossing to the vehicle of described first crossing in predetermined period, and determine vehicle queue length according to described maximum stop frequency;
Step 103: determine in described predetermined period from described second crossing to the traffic behavior in the section in described first direction, crossing according to described average velocity, described maximum stop frequency and described vehicle queue length.
In the embodiment of the present invention, the first crossing and the second crossing are only to distinguish different crossing, are not the restriction to crossing.Second crossing can represent an Adjacent Intersections of the first crossing, also can represent multiple Adjacent Intersections of the first crossing.
In step 101, by coil checker and the alert detector acquisition traffic data of electricity, coil checker is generally laid in the position of distance intersection parking line 30m, and the data detected at least comprise the vehicle number of the vehicle by crossing.The alert detecting device of electricity can realize meeting car must shooting function, is generally laid in the position of distance intersection parking line 18-23m, and its data detected are pass through the time by the vehicles identifications of the vehicle of stop line and vehicle.Preferably, vehicles identifications is the number-plate number.When vehicle is by stop line, the alert detecting device of electricity can carry out the vehicles identifications by vehicle capturing and identify that also registration of vehicle passes through the time by the vehicle of stop line.
In step 102, the traffic data needing basis to get determines the average velocity from the second crossing by the vehicle of the first crossing in predetermined period, determines the maximum stop frequency of vehicle in predetermined period, and determines vehicle queue length.Predetermined period refers to a time period, can arrange according to actual conditions, can be one hour, also can be ten hours.
Because the vehicles identifications and vehicle that can get each car pass through the time, so can be determined by the method for mating vehicles identifications that the vehicle of vehicle when different crossing is by the time, thus the stroke duration that vehicle spends between two Adjacent Intersections can be determined.Concrete, a car drives towards the first crossing from the second crossing, this vehicle is when by the first crossing and the second crossing, vehicles identifications and the vehicle that can get this vehicle pass through the time, time by the first crossing and the second crossing is asked for difference, just can obtain this vehicle from the second crossing the stroke duration to the first crossing.
Because some car might not directly drive towards the first crossing from the second crossing, middle meeting is at curb parking, the stroke duration calculated is caused to have very large deviation, therefore determine that vehicle drives towards the first crossing stroke duration from the second crossing is greater than first and presets the delay time at stop or be less than second when presetting the delay time at stop, the trip time is defined as invalid value.Generally the first default delay time at stop was set to 1 hour, the second default delay time at stop was set to 1 minute.First occurrence presetting delay time at stop and the second default delay time at stop is how many also will be determined according to on-site actual situations.
To determine in predetermined period vehicle from the second crossing by the average stroke duration of the first crossing according to vehicles identifications and vehicle by the time, and determine the average velocity of vehicle according to described average stroke duration and the distance between described second crossing and described first crossing.Concrete, the stroke duration of all vehicles from the second crossing to the first crossing in predetermined period can be determined, after the stroke duration of each car is added up divided by total vehicle number just can obtain vehicle from the second crossing the average stroke duration by the first crossing.Preferably, be defined as invalid value by being greater than for the first default delay time at stop or being less than the second stroke duration presetting the delay time at stop, and determine average stroke duration again after being rejected by invalid value.Or, by the stroke duration of each car calculated according to arranging from big to small, after the stroke duration of the stroke duration of the first minimum number percent and the second maximum number percent is rejected, ask for vehicle from the second crossing the average stroke duration by the first crossing.First number percent can be Arbitrary Digit between 0 to 10%, and the second number percent can be Arbitrary Digit between 0 to 10%.
To calculate in predetermined period vehicle from the second crossing by the average stroke duration of the first crossing after, average stroke duration just can be determined the average velocity of vehicle in predetermined period divided by the distance between the second crossing and described first crossing.
In step 103, to determine in predetermined period vehicle from the second crossing by the average stroke duration of the first crossing by step 102, and after the stroke duration of each car, just can determine the maximum stop frequency from the second crossing to the vehicle of the first crossing in this predetermined period.Concrete, be divided into two steps: step one, the red light duration according to average stroke duration and the first crossing determines the time critical values that secondary is queued up; Step 2, determines the stop frequency of each car, determines maximum stop frequency by the stop frequency of each car according to the stroke duration of each car and the time critical values of secondary queuing.
In step one, if the difference of average stroke duration and preset duration is more than or equal to the red light duration of the first crossing, then the time critical values that described secondary is queued up is described preset duration and described red light duration sum;
Otherwise the time critical values that described secondary is queued up is equal with described preset duration.
Concrete, if
then T
l=t+R, otherwise T
l=t, wherein
for average stroke duration, t is preset duration, and R is the red light duration of the first crossing, T
lfor the time critical values that secondary is queued up.
In step 2, for a jth car, the stop frequency P of described vehicle
jfor:
If T
j≤ T
l, then P
j≤ 1; Otherwise,
Wherein, T
jrepresent the stroke duration of a jth car, T
lrepresent that the time critical values that described secondary is queued up, C represent the traffic lights cycle duration of described first crossing.
In predetermined period, the stop frequency of each car can be determined the stop frequency of the vehicle that stop frequency is maximum in this predetermined period, the stop frequency of this vehicle is defined as the maximum stop frequency of vehicle in this predetermined period after determining.
The following describes and how determine vehicle queue length in this predetermined period:
First, judge whether the maximum stop frequency of described vehicle is less than or equal to 1, if so, then determines described vehicle queue length by following formula:
Wherein, L represents described vehicle queue length, and N represents the vehicle number from described second crossing by the vehicle of described first crossing in described predetermined period, and these data can be detected by coil checker and obtain; C represents the traffic lights cycle duration of described first crossing, and R represents the red light duration of described first crossing, h
srepresent the average headway of the queuing vehicle preset;
Otherwise, judge whether the maximum stop frequency of described vehicle is integer, if not integer, then determines described vehicle queue length by following formula:
Wherein, L represents described vehicle queue length, and N represents the vehicle number from described second crossing by the vehicle of described first crossing in described predetermined period, and these data can be detected by coil checker and obtain; N represents the number of track-lines from described second crossing to described first direction, crossing, P
maxrepresent the maximum stop frequency of described vehicle, z is for meeting P
max-1<z≤P
maxpositive integer, h
srepresent the average headway of queuing vehicle preset, general value be 5 to 8 meters between any one number,
represent the vehicle number of z predetermined period before described predetermined period by described first crossing, these data can be detected by coil checker and obtain.
Otherwise determine described vehicle queue length by following formula:
Wherein, L represents described vehicle queue length, and N represents the vehicle number from described second crossing by the vehicle of described first crossing in described predetermined period, and these data can be detected by coil checker and obtain; N represents the number of track-lines from described second crossing to described first direction, crossing, P
maxrepresent the maximum stop frequency of described vehicle, h
srepresent the average headway of queuing vehicle preset, general value be 5 to 8 meters between any one number,
represent the P before described predetermined period
max-1 predetermined period passes through the vehicle number of described first crossing, and these data can be detected by coil checker and obtain.
From foregoing description, determine the average velocity of vehicle in predetermined period, the maximum stop frequency of vehicle and vehicle queue length, determined in this predetermined period from the second crossing to the traffic behavior of the first crossing according to these parameters below.
If described average velocity is more than or equal to pre-set velocity, and described vehicle queue length is less than preset length, and described maximum stop frequency is less than or equal to default stop frequency, then determine to be in the first state from described second crossing to the traffic behavior in the section in described first direction, crossing in described predetermined period;
If described average velocity is less than pre-set velocity and described vehicle queue length is less than preset length, or described maximum stop frequency is greater than default stop frequency and described vehicle queue length is less than preset length, then determine to be in the second state from described second crossing to the traffic behavior in the section in described first direction, crossing in described predetermined period;
If described vehicle queue length is more than or equal to preset length, then determine to be in the third state from described second crossing to the traffic behavior in the section in described first direction, crossing in described predetermined period.
Wherein, described preset length is generally the road section length from the second crossing to the section in the first direction, crossing, first state, the second state and the third state represent the relative degree of mobility of traffic behavior, the degree of mobility of the first state is better than the second state, the degree of mobility of the second state is better than the third state, also the first state can be called unimpeded state, the second state is called jogging state, and the third state is called congestion status.
Concrete, knownly from the second crossing to the road section length in the section in the first direction, crossing be
l, then in predetermined period, the decision rule of the traffic behavior in this section is as follows:
If 0≤P
max≤ P
1, and 0≤L<l, and
then now the traffic behavior in this section is the first state, i.e. unimpeded state;
If 0≤L<l and P
max>P
1; Or 0≤L<l and
then now the traffic behavior in this section is the second state, state of namely walking or drive slowly;
If L>=l, spilling of now queuing up is described, then the traffic behavior in this section is the third state, i.e. congestion status, and wherein L is vehicle queue length,
for average velocity, P
maxfor maximum stop frequency, P
1for default stop frequency, V
1for pre-set velocity.
Oversize or the other reasons of road section length due to some section, directly differentiate that the differentiation result that the traffic behavior in this section obtains is inaccurate according to traffic data, in order to make traffic state judging result more accurate, in the embodiment of the present invention, also can according to from the second crossing to the size of the road section length in the first direction, crossing, described section is divided into M cross-talk section, wherein M be greater than 0 positive integer.As shown in Figure 2, what provide for the embodiment of the present invention is schematic diagram behind M cross-talk section by the pavement section between the second crossing and the first crossing.After section being divided into M cross-talk section, the position in the first cross-talk section to M cross-talk section arranges from the first crossing, crossing to the second order successively.Such as, the section of 600 meters long is divided into 3 cross-talk sections, every cross-talk section length is 200 meters.Again such as, the section of 500 meters long is divided into 2 cross-talk sections, every cross-talk section length is 250 meters.Specifically be divided into a few cross-talk section can go to determine according to actual conditions.
Then according to the average velocity of vehicle in the predetermined period determined, the maximum stop frequency of vehicle and vehicle queue length, determine in this predetermined period from the second crossing to the traffic behavior in every cross-talk section of the first crossing.
Concrete, if described average velocity is more than or equal to pre-set velocity, and described vehicle queue length is less than or equal to preset length, and described maximum stop frequency is less than or equal to default stop frequency, then determine all to be in the first state from described second crossing to the traffic behavior in the first cross-talk section to the M cross-talk section in described first direction, crossing in described predetermined period, wherein, described preset length is M/mono-from described second crossing to the road section length of described first crossing;
If described average velocity is less than pre-set velocity and described vehicle queue length is less than or equal to preset length, or described maximum stop frequency is greater than default stop frequency and described vehicle queue length is less than or equal to preset length, then determine that the traffic behavior in described first cross-talk section is in the second state, the traffic behavior in the second cross-talk section to M cross-talk section is in the first state;
If described vehicle queue length is greater than preset length, then determine that the traffic behavior in described first cross-talk section is in the third state, the traffic behavior in the second cross-talk section is in the second state, and the traffic behavior in the 3rd cross-talk section to M cross-talk section is in the first state;
If described vehicle queue length is greater than E preset length doubly, and be less than or equal to F preset length doubly, then the traffic behavior in the first cross-talk section to E-1 cross-talk section is in the third state, the traffic behavior in F cross-talk section is in the second state, the traffic behavior in F+1 cross-talk section to M cross-talk section is in the first state, wherein, E and F is positive integer, and 0<E<F.Wherein, the position in the first cross-talk section to M cross-talk section arranges from the first crossing, crossing to the second order successively.
Be described below by specific embodiment.
Embodiment one
Known is l from the second crossing to the road section length in the section in the first direction, crossing, and this section is divided into 2 cross-talk sections, then, in predetermined period, the decision rule of the traffic behavior in every cross-talk section in this section is as follows:
If 0≤P
max≤ P
1, and
and
then now the first cross-talk section in this section and the traffic behavior in the second cross-talk section are the first state, i.e. unimpeded state;
If
and P
max>P
1, or
and
then now the traffic behavior in the first cross-talk section in this section is the second state, state of namely walking or drive slowly, and the traffic behavior in the second cross-talk section in this section is the first state, i.e. unimpeded state;
If
then illustrate that now queue length is greater than the first cross-talk section, then the traffic behavior in the first cross-talk section in this section is the third state, i.e. congestion status, and the traffic behavior in the second cross-talk section in this section is the second state, state of namely walking or drive slowly;
If l≤L, illustrate that now queue length is not less than the road section length in this section, then the first cross-talk section in this section and the traffic behavior in the second cross-talk section are the third state, i.e. congestion status, and wherein L is vehicle queue length,
for average velocity, P
maxfor maximum stop frequency, P
1for default stop frequency, V
1for pre-set velocity.
Embodiment two
Known is l from the second crossing to the road section length in the section in the first direction, crossing, and this section is divided into 3 cross-talk sections, then, in predetermined period, the decision rule of the traffic behavior in every cross-talk section in this section is as follows:
If 0≤P
max≤ P
1, and
and
then now the traffic behavior in the first cross-talk section in this section, the second cross-talk section and the 3rd cross-talk section is the first state, i.e. unimpeded state;
If
and P
max>P
1, or
and
then now the traffic behavior in the first cross-talk section in this section is the second state, state of namely walking or drive slowly, and the traffic behavior in the second cross-talk section in this section is the first state, i.e. unimpeded state;
If
then illustrate that now queue length is greater than the length in the first cross-talk section, then the traffic behavior in the first cross-talk section in this section is the third state, i.e. congestion status, the traffic behavior in the second cross-talk section in this section is the second state, namely to walk or drive slowly state, the traffic behavior in the 3rd cross-talk section in this section is the first state, i.e. unimpeded state;
If
then the first cross-talk section in this section and the traffic behavior in the second cross-talk section are the third state, i.e. congestion status, and the traffic behavior in the 3rd cross-talk section in this section is the second state, state of namely walking or drive slowly;
If L>l, then the traffic behavior in the first cross-talk section in this section, the second cross-talk section and the 3rd cross-talk section is the third state, i.e. congestion status, and wherein L is vehicle queue length,
for average velocity, P
maxfor maximum stop frequency, P
1for default stop frequency, V
1for pre-set velocity.
The situation being divided into any cross-talk section from the second crossing to the section in the first direction, crossing repeats no more again, can realize the differentiation of traffic behavior with reference to said method flow process.
For said method flow process, the embodiment of the present invention also provides a kind of traffic state judging device, and the particular content of this device can be implemented with reference to said method, does not repeat them here.
As shown in Figure 3, a kind of traffic state judging structure drawing of device that the embodiment of the present invention provides, comprising:
Traffic data acquiring unit 301, for obtaining the traffic data of the first crossing and the second crossing, described traffic data at least comprises vehicles identifications and vehicle by the time, and wherein said second crossing is the Adjacent Intersections of described first crossing;
Determining unit 302, for determining the average velocity from described second crossing by the vehicle of described first crossing in predetermined period according to described vehicles identifications and described vehicle by the time, and determine maximum stop frequency from described second crossing to the vehicle of described first crossing in predetermined period, and determine vehicle queue length according to described maximum stop frequency;
Traffic behavior determining unit 303, for determining according to described average velocity, described maximum stop frequency and described vehicle queue length in described predetermined period from described second crossing to the traffic behavior in the section in described first direction, crossing.
Preferably, described traffic behavior determining unit 303 also for:
Described section is divided into M cross-talk section, wherein M be greater than 0 positive integer.
Preferably, described determining unit is used for:
Determine the average stroke duration of vehicle from described second crossing by described first crossing in described predetermined period according to described vehicles identifications and described vehicle by the time, and determine the average velocity of vehicle according to described average stroke duration and the distance between described second crossing and described first crossing.
Preferably, described determining unit 302 for:
The average stroke duration of vehicle from described second crossing by described first crossing is determined by the time according to described vehicles identifications and described vehicle, and the stroke duration of each car;
Red light duration according to described average stroke duration and described first crossing determines the time critical values that secondary is queued up;
Determine the stop frequency of each car according to the stroke duration of each car and the time critical values of described secondary queuing, determine maximum stop frequency by the stop frequency of each car.
Preferably, described determining unit 302 for:
If the difference of described average stroke duration and preset duration is more than or equal to described red light duration, then the time critical values that described secondary is queued up is described preset duration and described red light duration sum;
Otherwise the time critical values that described secondary is queued up is equal with described preset duration.
Preferably, described determining unit is used for:
For a jth car, the stop frequency P of described vehicle
jfor:
If T
j≤ T
l, then P
j≤ 1; Otherwise,
Wherein, T
jrepresent the stroke duration of a jth car, T
lrepresent that the time critical values that described secondary is queued up, C represent the traffic lights cycle duration of described first crossing.
Preferably, described determining unit 302 for:
Judge whether the maximum stop frequency of described vehicle is less than or equal to 1, if so, then determines described vehicle queue length by following formula:
Wherein, L represents described vehicle queue length, and N represents the vehicle number from described second crossing by the vehicle of described first crossing in described predetermined period, and C represents the traffic lights cycle duration of described first crossing, R represents the red light duration of described first crossing, h
srepresent the average headway of the queuing vehicle preset;
Otherwise, judge whether the maximum stop frequency of described vehicle is integer, if not integer, then determines described vehicle queue length by following formula:
Wherein, L represents described vehicle queue length, and N represents the vehicle number from described second crossing by the vehicle of described first crossing in described predetermined period, and n represents the number of track-lines from described second crossing to described first direction, crossing, P
maxrepresent the maximum stop frequency of described vehicle, z is for meeting P
max-1<z≤P
maxpositive integer, h
srepresent the average headway of the queuing vehicle preset,
represent the vehicle number of z predetermined period before described predetermined period by described first crossing.
Otherwise, determine described vehicle queue length by following formula:
Wherein, L represents described vehicle queue length, and N represents the vehicle number from described second crossing by the vehicle of described first crossing in described predetermined period, and n represents the number of track-lines from described second crossing to described first direction, crossing, P
maxrepresent the maximum stop frequency of described vehicle, h
srepresent the average headway of the queuing vehicle preset,
represent the P before described predetermined period
max-1 predetermined period passes through the vehicle number of described first crossing.
Preferably, described traffic behavior determining unit 303 for:
If described average velocity is more than or equal to pre-set velocity, and described vehicle queue length is less than preset length, and described maximum stop frequency is less than or equal to default stop frequency, then determine to be in the first state from described second crossing to the traffic behavior in the section in described first direction, crossing in described predetermined period;
If described average velocity is less than pre-set velocity and described vehicle queue length is less than preset length, or described maximum stop frequency is greater than default stop frequency and described vehicle queue length is less than preset length, then determine to be in the second state from described second crossing to the traffic behavior in the section in described first direction, crossing in described predetermined period;
If described vehicle queue length is more than or equal to preset length, then determine to be in the third state from described second crossing to the traffic behavior in the section in described first direction, crossing in described predetermined period.
Preferably, described traffic behavior determining unit 303 for:
If described average velocity is more than or equal to pre-set velocity, and described vehicle queue length is less than or equal to preset length, and described maximum stop frequency is less than or equal to default stop frequency, then determine all to be in the first state from described second crossing to the traffic behavior in the first cross-talk section to the M cross-talk section in described first direction, crossing in described predetermined period, wherein, described preset length is M/mono-from described second crossing to the road section length of described first crossing;
If described average velocity is less than pre-set velocity and described vehicle queue length is less than or equal to preset length, or described maximum stop frequency is greater than default stop frequency and described vehicle queue length is less than or equal to preset length, then determine that the traffic behavior in described first cross-talk section is in the second state, the traffic behavior in the second cross-talk section to M cross-talk section is in the first state;
If described vehicle queue length is greater than preset length, then determine that the traffic behavior in described first cross-talk section is in the third state, the traffic behavior in the second cross-talk section is in the second state, and the traffic behavior in the 3rd cross-talk section to M cross-talk section is in the first state;
If described vehicle queue length is greater than E preset length doubly, and be less than or equal to F preset length doubly, then the traffic behavior in the first cross-talk section to E-1 cross-talk section is in the third state, the traffic behavior in F cross-talk section is in the second state, the traffic behavior in F+1 cross-talk section to M cross-talk section is in the first state, wherein, E and F is positive integer, and 0<E<F.
In sum, by the traffic data got, determine the average velocity of vehicle in predetermined period, the maximum stop frequency of vehicle, and determine vehicle queue length according to described maximum stop frequency, determine in predetermined period from the second crossing to the traffic behavior in the section in the first direction, crossing according to average velocity, maximum stop frequency and vehicle queue length.According to the method that the embodiment of the present invention provides, the traffic behavior in section can be determined more accurately by the traffic data got.In the embodiment of the present invention, by the data of coil checker and electricity alert detector acquisition, traffic behavior is differentiated, overcome the inherent limitation differentiating traffic behavior based on single source data, ensure that the accuracy and actual applicability that differentiate result, and can classify to section according to road section length, segmentation, refinement decision rule, strengthens differentiation dynamics, achieve the segmentation display of differentiation state, make to differentiate that result more meets driver's impression.
Those skilled in the art should understand, embodiments of the invention can be provided as method, system or computer program.Therefore, the present invention can adopt the form of complete hardware embodiment, completely software implementation or the embodiment in conjunction with software and hardware aspect.And the present invention can adopt in one or more form wherein including the upper computer program implemented of computer-usable storage medium (including but not limited to magnetic disk memory and optical memory etc.) of computer usable program code.
The present invention describes with reference to according to the process flow diagram of the method for the embodiment of the present invention, equipment (system) and computer program and/or block scheme.Should understand can by the combination of the flow process in each flow process in computer program instructions realization flow figure and/or block scheme and/or square frame and process flow diagram and/or block scheme and/or square frame.These computer program instructions can being provided to the processor of multi-purpose computer, special purpose computer, Embedded Processor or other programmable data processing device to produce a machine, making the instruction performed by the processor of computing machine or other programmable data processing device produce device for realizing the function of specifying in process flow diagram flow process or multiple flow process and/or block scheme square frame or multiple square frame.
These computer program instructions also can be stored in can in the computer-readable memory that works in a specific way of vectoring computer or other programmable data processing device, the instruction making to be stored in this computer-readable memory produces the manufacture comprising command device, and this command device realizes the function of specifying in process flow diagram flow process or multiple flow process and/or block scheme square frame or multiple square frame.
These computer program instructions also can be loaded in computing machine or other programmable data processing device, make on computing machine or other programmable devices, to perform sequence of operations step to produce computer implemented process, thus the instruction performed on computing machine or other programmable devices is provided for the step realizing the function of specifying in process flow diagram flow process or multiple flow process and/or block scheme square frame or multiple square frame.
Obviously, those skilled in the art can carry out various change and modification to the present invention and not depart from the spirit and scope of the present invention.Like this, if these amendments of the present invention and modification belong within the scope of the claims in the present invention and equivalent technologies thereof, then the present invention is also intended to comprise these change and modification.
Claims (18)
1. a traffic state judging method, is characterized in that, the method comprises:
Obtain the traffic data of the first crossing and the second crossing, described traffic data at least comprises vehicles identifications and vehicle by the time, and wherein said second crossing is the Adjacent Intersections of described first crossing;
The average velocity from described second crossing by the vehicle of described first crossing in predetermined period is determined by the time according to described vehicles identifications and described vehicle, and determine maximum stop frequency from described second crossing to the vehicle of described first crossing in predetermined period, and determine vehicle queue length according to described maximum stop frequency;
Determine in described predetermined period from described second crossing to the traffic behavior in the section in described first direction, crossing according to described average velocity, described maximum stop frequency and described vehicle queue length.
2. the method for claim 1, it is characterized in that, describedly to determine in described predetermined period, from described second crossing to before the traffic behavior in the section in described first direction, crossing, also to comprise according to described average velocity, described maximum stop frequency and described vehicle queue length:
Described section is divided into M cross-talk section, wherein M be greater than 0 positive integer.
3. method as claimed in claim 1 or 2, is characterized in that, describedly determines the average velocity from described second crossing by the vehicle of described first crossing in predetermined period according to described vehicles identifications and described vehicle by the time, comprising:
Determine the average stroke duration of vehicle from described second crossing by described first crossing in described predetermined period according to described vehicles identifications and described vehicle by the time, and determine the average velocity of vehicle according to described average stroke duration and the distance between described second crossing and described first crossing.
4. method as claimed in claim 1 or 2, is characterized in that, described in determine and comprise maximum stop frequency from described second crossing to the vehicle of described first crossing in predetermined period:
The average stroke duration of vehicle from described second crossing by described first crossing is determined by the time according to described vehicles identifications and described vehicle, and the stroke duration of each car;
Red light duration according to described average stroke duration and described first crossing determines the time critical values that secondary is queued up;
Determine the stop frequency of each car according to the stroke duration of each car and the time critical values of described secondary queuing, determine maximum stop frequency by the stop frequency of each car.
5. method as claimed in claim 4, is characterized in that, the described red light duration according to described average stroke duration and described first crossing is determined and comprised the time critical values that secondary is queued up:
If the difference of described average stroke duration and preset duration is more than or equal to described red light duration, then the time critical values that described secondary is queued up is described preset duration and described red light duration sum;
Otherwise the time critical values that described secondary is queued up is equal with described preset duration.
6. method as claimed in claim 4, is characterized in that, the time critical values that the described stroke duration according to each car and described secondary are queued up determines the stop frequency of each car, comprising:
For a jth car, the stop frequency P of described vehicle
jfor:
If T
j≤ T
l, then P
j≤ 1; Otherwise,
Wherein, T
jrepresent the stroke duration of a jth car, T
lrepresent that the time critical values that described secondary is queued up, C represent the traffic lights cycle duration of described first crossing.
7. method as claimed in claim 1 or 2, is characterized in that, describedly determines vehicle queue length according to the maximum stop frequency of described vehicle, comprising:
Judge whether the maximum stop frequency of described vehicle is less than or equal to 1, if so, then determines described vehicle queue length by following formula:
Wherein, L represents described vehicle queue length, and N represents the vehicle number from described second crossing by the vehicle of described first crossing in described predetermined period, and C represents the traffic lights cycle duration of described first crossing, R represents the red light duration of described first crossing, h
srepresent the average headway of the queuing vehicle preset;
Otherwise, judge whether the maximum stop frequency of described vehicle is integer, if not integer, then determines described vehicle queue length by following formula:
Wherein, L represents described vehicle queue length, and N represents the vehicle number from described second crossing by the vehicle of described first crossing in described predetermined period, and n represents the number of track-lines from described second crossing to described first direction, crossing, P
maxrepresent the maximum stop frequency of described vehicle, z is for meeting P
max-1 < z≤P
maxpositive integer, h
srepresent the average headway of the queuing vehicle preset,
represent the vehicle number of z predetermined period before described predetermined period by described first crossing;
Otherwise, determine described vehicle queue length by following formula:
Wherein, L represents described vehicle queue length, and N represents the vehicle number from described second crossing by the vehicle of described first crossing in described predetermined period, and n represents the number of track-lines from described second crossing to described first direction, crossing, P
maxrepresent the maximum stop frequency of described vehicle, h
srepresent the average headway of the queuing vehicle preset,
represent the P before described predetermined period
max-1 predetermined period passes through the vehicle number of described first crossing.
8. the method for claim 1, it is characterized in that, describedly to determine in described predetermined period, from described second crossing to the traffic behavior in the section in described first direction, crossing, to comprise according to described average velocity, described maximum stop frequency and described vehicle queue length:
If described average velocity is more than or equal to pre-set velocity, and described vehicle queue length is less than preset length, and described maximum stop frequency is less than or equal to default stop frequency, then determine to be in the first state from described second crossing to the traffic behavior in the section in described first direction, crossing in described predetermined period;
If described average velocity is less than pre-set velocity and described vehicle queue length is less than preset length, or described maximum stop frequency is greater than default stop frequency and described vehicle queue length is less than preset length, then determine to be in the second state from described second crossing to the traffic behavior in the section in described first direction, crossing in described predetermined period;
If described vehicle queue length is more than or equal to preset length, then determine to be in the third state from described second crossing to the traffic behavior in the section in described first direction, crossing in described predetermined period.
9. method as claimed in claim 2, it is characterized in that, describedly to determine in described predetermined period, from described second crossing to the traffic behavior in the section in described first direction, crossing, to comprise according to described average velocity, described maximum stop frequency and described vehicle queue length:
If described average velocity is more than or equal to pre-set velocity, and described vehicle queue length is less than or equal to preset length, and described maximum stop frequency is less than or equal to default stop frequency, then determine all to be in the first state from described second crossing to the traffic behavior in the first cross-talk section to the M cross-talk section in described first direction, crossing in described predetermined period, wherein, described preset length is M/mono-from described second crossing to the road section length of described first crossing;
If described average velocity is less than pre-set velocity and described vehicle queue length is less than or equal to preset length, or described maximum stop frequency is greater than default stop frequency and described vehicle queue length is less than or equal to preset length, then determine that the traffic behavior in described first cross-talk section is in the second state, the traffic behavior in the second cross-talk section to M cross-talk section is in the first state;
If described vehicle queue length is greater than preset length, then determine that the traffic behavior in described first cross-talk section is in the third state, the traffic behavior in the second cross-talk section is in the second state, and the traffic behavior in the 3rd cross-talk section to M cross-talk section is in the first state;
If described vehicle queue length is greater than E preset length doubly, and be less than or equal to F preset length doubly, then the traffic behavior in the first cross-talk section to E-1 cross-talk section is in the third state, the traffic behavior in F cross-talk section is in the second state, the traffic behavior in F+1 cross-talk section to M cross-talk section is in the first state, wherein, E and F is positive integer, and 0<E<F.
10. a traffic state judging device, is characterized in that, this device comprises:
Traffic data acquiring unit, for obtaining the traffic data of the first crossing and the second crossing, described traffic data at least comprises vehicles identifications and vehicle by the time, and wherein said second crossing is the Adjacent Intersections of described first crossing;
Determining unit, for determining the average velocity from described second crossing by the vehicle of described first crossing in predetermined period according to described vehicles identifications and described vehicle by the time, and determine maximum stop frequency from described second crossing to the vehicle of described first crossing in predetermined period, and determine vehicle queue length according to described maximum stop frequency;
Traffic behavior determining unit, for determining according to described average velocity, described maximum stop frequency and described vehicle queue length in described predetermined period from described second crossing to the traffic behavior in the section in described first direction, crossing.
11. devices as claimed in claim 10, is characterized in that, described traffic behavior determining unit also for:
Described section is divided into M cross-talk section, wherein M be greater than 0 positive integer.
12. devices as described in claim 10 or 11, it is characterized in that, described determining unit is used for:
Determine the average stroke duration of vehicle from described second crossing by described first crossing in described predetermined period according to described vehicles identifications and described vehicle by the time, and determine the average velocity of vehicle according to described average stroke duration and the distance between described second crossing and described first crossing.
13. devices as described in claim 10 or 11, it is characterized in that, described determining unit is used for:
The average stroke duration of vehicle from described second crossing by described first crossing is determined by the time according to described vehicles identifications and described vehicle, and the stroke duration of each car;
Red light duration according to described average stroke duration and described first crossing determines the time critical values that secondary is queued up;
Determine the stop frequency of each car according to the stroke duration of each car and the time critical values of described secondary queuing, determine maximum stop frequency by the stop frequency of each car.
14. devices as claimed in claim 13, it is characterized in that, described determining unit is used for:
If the difference of described average stroke duration and preset duration is more than or equal to described red light duration, then the time critical values that described secondary is queued up is described preset duration and described red light duration sum;
Otherwise the time critical values that described secondary is queued up is equal with described preset duration.
15. devices as claimed in claim 13, it is characterized in that, described determining unit is used for:
For a jth car, the stop frequency P of described vehicle
jfor:
If T
j≤ T
l, then P
j≤ 1; Otherwise,
Wherein, T
jrepresent the stroke duration of a jth car, T
lrepresent that the time critical values that described secondary is queued up, C represent the traffic lights cycle duration of described first crossing.
16. devices as described in claim 10 or 11, it is characterized in that, described determining unit is used for:
Judge whether the maximum stop frequency of described vehicle is less than or equal to 1, if so, then determines described vehicle queue length by following formula:
Wherein, L represents described vehicle queue length, and N represents the vehicle number from described second crossing by the vehicle of described first crossing in described predetermined period, and C represents the traffic lights cycle duration of described first crossing, R represents the red light duration of described first crossing, h
srepresent the average headway of the queuing vehicle preset;
Otherwise, judge whether the maximum stop frequency of described vehicle is integer, if not integer, then determines described vehicle queue length by following formula:
Wherein, L represents described vehicle queue length, and N represents the vehicle number from described second crossing by the vehicle of described first crossing in described predetermined period, and n represents the number of track-lines from described second crossing to described first direction, crossing, P
maxrepresent the maximum stop frequency of described vehicle, z is for meeting P
max-1 < z≤P
maxpositive integer, h
srepresent the average headway of the queuing vehicle preset,
represent the vehicle number of z predetermined period before described predetermined period by described first crossing;
Otherwise, determine described vehicle queue length by following formula:
Wherein, L represents described vehicle queue length, and N represents the vehicle number from described second crossing by the vehicle of described first crossing in described predetermined period, and n represents the number of track-lines from described second crossing to described first direction, crossing, P
maxrepresent the maximum stop frequency of described vehicle, h
srepresent the average headway of the queuing vehicle preset,
represent the P before described predetermined period
max-1 predetermined period passes through the vehicle number of described first crossing.
17. devices as claimed in claim 10, it is characterized in that, described traffic behavior determining unit is used for:
If described average velocity is more than or equal to pre-set velocity, and described vehicle queue length is less than preset length, and described maximum stop frequency is less than or equal to default stop frequency, then determine to be in the first state from described second crossing to the traffic behavior in the section in described first direction, crossing in described predetermined period;
If described average velocity is less than pre-set velocity and described vehicle queue length is less than preset length, or described maximum stop frequency is greater than default stop frequency and described vehicle queue length is less than preset length, then determine to be in the second state from described second crossing to the traffic behavior in the section in described first direction, crossing in described predetermined period;
If described vehicle queue length is more than or equal to preset length, then determine to be in the third state from described second crossing to the traffic behavior in the section in described first direction, crossing in described predetermined period.
18. devices as claimed in claim 11, it is characterized in that, described traffic behavior determining unit is used for:
If described average velocity is more than or equal to pre-set velocity, and described vehicle queue length is less than or equal to preset length, and described maximum stop frequency is less than or equal to default stop frequency, then determine all to be in the first state from described second crossing to the traffic behavior in the first cross-talk section to the M cross-talk section in described first direction, crossing in described predetermined period, wherein, described preset length is M/mono-from described second crossing to the road section length of described first crossing;
If described average velocity is less than pre-set velocity and described vehicle queue length is less than or equal to preset length, or described maximum stop frequency is greater than default stop frequency and described vehicle queue length is less than or equal to preset length, then determine that the traffic behavior in described first cross-talk section is in the second state, the traffic behavior in the second cross-talk section to M cross-talk section is in the first state;
If described vehicle queue length is greater than preset length, then determine that the traffic behavior in described first cross-talk section is in the third state, the traffic behavior in the second cross-talk section is in the second state, and the traffic behavior in the 3rd cross-talk section to M cross-talk section is in the first state;
If described vehicle queue length is greater than E preset length doubly, and be less than or equal to F preset length doubly, then the traffic behavior in the first cross-talk section to E-1 cross-talk section is in the third state, the traffic behavior in F cross-talk section is in the second state, the traffic behavior in F+1 cross-talk section to M cross-talk section is in the first state, wherein, E and F is positive integer, and 0<E<F.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201410659333.5A CN104392607B (en) | 2014-11-18 | 2014-11-18 | A kind of traffic state judging method and device |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201410659333.5A CN104392607B (en) | 2014-11-18 | 2014-11-18 | A kind of traffic state judging method and device |
Publications (2)
Publication Number | Publication Date |
---|---|
CN104392607A true CN104392607A (en) | 2015-03-04 |
CN104392607B CN104392607B (en) | 2016-12-07 |
Family
ID=52610500
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201410659333.5A Active CN104392607B (en) | 2014-11-18 | 2014-11-18 | A kind of traffic state judging method and device |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN104392607B (en) |
Cited By (14)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN105336169A (en) * | 2015-12-09 | 2016-02-17 | 青岛海信网络科技股份有限公司 | Method and system for judging traffic jams based on videos |
CN106097730A (en) * | 2016-08-10 | 2016-11-09 | 青岛海信网络科技股份有限公司 | The method of estimation of a kind of section vehicle queue length, Apparatus and system |
CN106251651A (en) * | 2016-08-24 | 2016-12-21 | 安徽科力信息产业有限责任公司 | A kind of crossing traffic signal control method utilizing plane cognition technology and system |
CN106571029A (en) * | 2016-10-18 | 2017-04-19 | 青岛海信网络科技股份有限公司 | Method and device for detecting vehicle queue length |
CN106781491A (en) * | 2016-12-29 | 2017-05-31 | 上海巽晔计算机科技有限公司 | A kind of urban road traffic state assessment system |
CN106846808A (en) * | 2017-03-12 | 2017-06-13 | 浙江大学 | A kind of vehicle parking based on car plate data time number calculating method |
CN107331172A (en) * | 2017-08-25 | 2017-11-07 | 青岛海信网络科技股份有限公司 | A kind of traffic phase adjusting method and device based on road traffic state |
CN107331167A (en) * | 2017-08-07 | 2017-11-07 | 青岛海信网络科技股份有限公司 | A kind of traffic lights feedback adjustment methods and device |
CN108288394A (en) * | 2018-02-05 | 2018-07-17 | 上海应用技术大学 | Single Intersection traffic signal control method based on parking twice and system |
CN109741603A (en) * | 2019-01-24 | 2019-05-10 | 杭州远眺科技有限公司 | A method of based on congestion spreading rate between queue length calculating Adjacent Intersections |
CN110751826A (en) * | 2019-10-30 | 2020-02-04 | 浙江大华技术股份有限公司 | Vehicle queuing determination method and related device |
CN110807913A (en) * | 2018-08-06 | 2020-02-18 | 北京嘀嘀无限科技发展有限公司 | System and method for determining traffic condition |
CN111724600A (en) * | 2020-06-30 | 2020-09-29 | 公安部交通管理科学研究所 | Real-time queuing length analysis method and system based on edge calculation |
CN111986483A (en) * | 2020-08-28 | 2020-11-24 | 上海宝康电子控制工程有限公司 | Method and device for studying and judging road congestion state based on electric alarm data collision and storage medium |
Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN1845198A (en) * | 2006-05-08 | 2006-10-11 | 兰振龙 | Method for tracking and monitoring motor vehicle on road |
CN101373559A (en) * | 2007-08-24 | 2009-02-25 | 同济大学 | Method for evaluating city road net traffic state based on floating vehicle data |
CN101571997A (en) * | 2009-05-31 | 2009-11-04 | 上海宝康电子控制工程有限公司 | Method and device for fusion processing of multi-source traffic information |
CN102890862A (en) * | 2012-09-29 | 2013-01-23 | 浙江大学 | Traffic condition analyzing device and method based on vector mode |
CN103366560A (en) * | 2012-04-01 | 2013-10-23 | 同济大学 | Vehicle-following detection method, system and application for road traffic state |
CN103761876A (en) * | 2014-01-10 | 2014-04-30 | 山东大学 | Vehicle-road cooperation-based method for traffic information collection and status evaluation |
-
2014
- 2014-11-18 CN CN201410659333.5A patent/CN104392607B/en active Active
Patent Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN1845198A (en) * | 2006-05-08 | 2006-10-11 | 兰振龙 | Method for tracking and monitoring motor vehicle on road |
CN101373559A (en) * | 2007-08-24 | 2009-02-25 | 同济大学 | Method for evaluating city road net traffic state based on floating vehicle data |
CN101571997A (en) * | 2009-05-31 | 2009-11-04 | 上海宝康电子控制工程有限公司 | Method and device for fusion processing of multi-source traffic information |
CN103366560A (en) * | 2012-04-01 | 2013-10-23 | 同济大学 | Vehicle-following detection method, system and application for road traffic state |
CN102890862A (en) * | 2012-09-29 | 2013-01-23 | 浙江大学 | Traffic condition analyzing device and method based on vector mode |
CN103761876A (en) * | 2014-01-10 | 2014-04-30 | 山东大学 | Vehicle-road cooperation-based method for traffic information collection and status evaluation |
Cited By (21)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN105336169A (en) * | 2015-12-09 | 2016-02-17 | 青岛海信网络科技股份有限公司 | Method and system for judging traffic jams based on videos |
CN106097730A (en) * | 2016-08-10 | 2016-11-09 | 青岛海信网络科技股份有限公司 | The method of estimation of a kind of section vehicle queue length, Apparatus and system |
CN106251651B (en) * | 2016-08-24 | 2019-01-18 | 安徽科力信息产业有限责任公司 | A kind of crossing traffic signal control method and system using plane cognition technology |
CN106251651A (en) * | 2016-08-24 | 2016-12-21 | 安徽科力信息产业有限责任公司 | A kind of crossing traffic signal control method utilizing plane cognition technology and system |
CN106571029A (en) * | 2016-10-18 | 2017-04-19 | 青岛海信网络科技股份有限公司 | Method and device for detecting vehicle queue length |
CN106571029B (en) * | 2016-10-18 | 2019-05-24 | 青岛海信网络科技股份有限公司 | A kind of method and apparatus of vehicle queue length detection |
CN106781491A (en) * | 2016-12-29 | 2017-05-31 | 上海巽晔计算机科技有限公司 | A kind of urban road traffic state assessment system |
CN106781491B (en) * | 2016-12-29 | 2019-05-31 | 贵州道坦坦科技股份有限公司 | A kind of urban road traffic state assessment system |
CN106846808B (en) * | 2017-03-12 | 2019-05-07 | 浙江大学 | A kind of vehicle parking based on license plate data time number calculating method |
CN106846808A (en) * | 2017-03-12 | 2017-06-13 | 浙江大学 | A kind of vehicle parking based on car plate data time number calculating method |
CN107331167A (en) * | 2017-08-07 | 2017-11-07 | 青岛海信网络科技股份有限公司 | A kind of traffic lights feedback adjustment methods and device |
CN107331172A (en) * | 2017-08-25 | 2017-11-07 | 青岛海信网络科技股份有限公司 | A kind of traffic phase adjusting method and device based on road traffic state |
CN107331172B (en) * | 2017-08-25 | 2020-11-20 | 青岛海信网络科技股份有限公司 | Traffic phase adjusting method and device based on road traffic state |
CN108288394A (en) * | 2018-02-05 | 2018-07-17 | 上海应用技术大学 | Single Intersection traffic signal control method based on parking twice and system |
CN110807913A (en) * | 2018-08-06 | 2020-02-18 | 北京嘀嘀无限科技发展有限公司 | System and method for determining traffic condition |
CN110807913B (en) * | 2018-08-06 | 2021-08-10 | 北京嘀嘀无限科技发展有限公司 | System and method for determining traffic condition |
CN109741603A (en) * | 2019-01-24 | 2019-05-10 | 杭州远眺科技有限公司 | A method of based on congestion spreading rate between queue length calculating Adjacent Intersections |
CN110751826A (en) * | 2019-10-30 | 2020-02-04 | 浙江大华技术股份有限公司 | Vehicle queuing determination method and related device |
CN110751826B (en) * | 2019-10-30 | 2021-07-06 | 浙江大华技术股份有限公司 | Vehicle queuing determination method and related device |
CN111724600A (en) * | 2020-06-30 | 2020-09-29 | 公安部交通管理科学研究所 | Real-time queuing length analysis method and system based on edge calculation |
CN111986483A (en) * | 2020-08-28 | 2020-11-24 | 上海宝康电子控制工程有限公司 | Method and device for studying and judging road congestion state based on electric alarm data collision and storage medium |
Also Published As
Publication number | Publication date |
---|---|
CN104392607B (en) | 2016-12-07 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN104392607A (en) | Method and device for identifying traffic conditions | |
CN110100271B (en) | Method and apparatus for estimating road traffic conditions using traffic signal data | |
Sun et al. | The estimation of vehicle speed and stopping distance by pedestrians crossing streets in a naturalistic traffic environment | |
CN106781493B (en) | Vehicle queuing length simulation system, method and device | |
CN107784835B (en) | Traffic state mode prediction system based on traffic data analysis and prediction method thereof | |
US9727820B2 (en) | Vehicle behavior prediction device and vehicle behavior prediction method, and driving assistance device | |
CN103985261B (en) | Based on method for controlling traffic signal lights and the system of vehicle queue length measuring and calculating | |
CN103903465B (en) | A kind of congestion in road reason real-time release method and system | |
US9336183B2 (en) | Vehicle information processing system and driving assistance system | |
CN106781460B (en) | A kind of road section traffic volume state determines method and device | |
CN108871357B (en) | Method for displaying accident lane of congested road section on electronic map | |
CN105374231A (en) | Early warning method, device and system | |
JP5907249B2 (en) | Unexpected prediction sensitivity judgment device | |
Yang et al. | Vehicle speed and acceleration profile study for metered on-ramps in California | |
Ma et al. | Predicting traffic conflicts for expressway diverging areas using vehicle trajectory data | |
CN103632540A (en) | An urban main road traffic operation information processing method based on floating vehicle data | |
Lyu et al. | Variable speed limit control for delay and crash reductions at freeway work zone area | |
CN109637127B (en) | Method and system for determining approximate duration of signal lamp | |
KR101943198B1 (en) | Method for estimation of link travel time and signal delay | |
Chai et al. | Comparison of two simulation approaches to safety assessment: cellular automata and SSAM | |
CN111882858A (en) | Method for predicting queuing length of expressway abnormal events based on multi-source data | |
CN104882005A (en) | Method and device for detecting lane traffic flow | |
KR101436422B1 (en) | Variable speed limits system considering tunnel and operating method thereof | |
Fitzsimmons et al. | Measuring horizontal curve vehicle trajectories and speed profiles: pneumatic road tube and video methods | |
CN110610118A (en) | Traffic parameter acquisition method and device |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
C06 | Publication | ||
PB01 | Publication | ||
C10 | Entry into substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
C14 | Grant of patent or utility model | ||
GR01 | Patent grant |