CN107331172A - A kind of traffic phase adjusting method and device based on road traffic state - Google Patents
A kind of traffic phase adjusting method and device based on road traffic state Download PDFInfo
- Publication number
- CN107331172A CN107331172A CN201710742260.XA CN201710742260A CN107331172A CN 107331172 A CN107331172 A CN 107331172A CN 201710742260 A CN201710742260 A CN 201710742260A CN 107331172 A CN107331172 A CN 107331172A
- Authority
- CN
- China
- Prior art keywords
- current vehicle
- vehicle
- stop frequency
- section
- current
- 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
- G08G1/07—Controlling traffic signals
- G08G1/081—Plural intersections under common control
-
- 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
- G08G1/0125—Traffic data processing
- G08G1/0129—Traffic data processing for creating historical data or processing based on historical data
-
- 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
- G08G1/0125—Traffic data processing
- G08G1/0133—Traffic data processing for classifying traffic situation
-
- 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
- G08G1/0137—Measuring and analyzing of parameters relative to traffic conditions for specific applications
- G08G1/0145—Measuring and analyzing of parameters relative to traffic conditions for specific applications for active traffic flow control
Landscapes
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Chemical & Material Sciences (AREA)
- Analytical Chemistry (AREA)
- Traffic Control Systems (AREA)
Abstract
The embodiment of the present invention provides a kind of traffic phase adjusting method and device based on road traffic state, and obtain section upstream and downstream crossing crosses car data.The stop frequency of true N current vehicle at the time of according to the vehicles identifications of N current vehicle and by upstream and downstream crossing.Then the current state in section is determined according to the stop frequency of N current vehicle.When it is determined that the current state in section is congestion status, the traffic phase at section upstream and downstream crossing is adjusted according to the stop frequency of N current vehicle.Due to the current state that car data determines section of crossing according to the section upstream and downstream crossing obtained in real time, so as on the one hand reduce testing cost, the current state in section on the other hand can be more comprehensively and objectively determined.Due to the problem of traffic phase at section upstream and downstream crossing is present when the traffic behavior in section is poor, can be determined in time and be adjusted in time, so as to effectively alleviate the congestion in section.
Description
Technical field
The present embodiments relate to intellectual traffic control field, more particularly to a kind of traffic phase based on road traffic state
Position method of adjustment and device.
Background technology
With the ripe development of Trunk Road Coordination technology and its application in Controlling Traffic Signals in Urban Roads field, get over
Carry out more city main roads application coordination control technologies, it is desirable to vehicle is as much as possible block by nothing it is not parking by each road
Mouthful.In theory, Arterial Coordination Control technology is that one kind can reduce stop frequency, effectively alleviates the means of congestion in road, still
, it is necessary to which a set of objective appraisal method, this method energy real time reaction coordinates the traffic behavior in section simultaneously after implementation Trunk Road Coordination
Coordinate scheme is adjusted.Evaluation method for coordinating road section traffic volume state, is typically coordinating section with test vehicle
Pass through back and forth and carry out test evaluation, the traffic behavior when evaluation result of this method is limited to test, it is impossible to comprehensively objectively anti-
Road traffic state is answered, also, using traditional test evaluation method for the poor road of evaluation result, it is impossible to orientation problem institute
Putting and carrying out alignment processing.
The content of the invention
The embodiment of the present invention provides a kind of traffic phase adjusting method and device based on road traffic state, for solving
Traditional test evaluation method is limited to the testing time and can not orientation problem point and the problem of carry out alignment processing.
The embodiments of the invention provide a kind of traffic phase adjusting method based on road traffic state, including：
The car data of crossing at section upstream and downstream crossing is obtained, the car data of crossing at least passes through including N on the section
Vehicles identifications of vehicle and at the time of by upstream and downstream crossing, N is more than or equal to 1；
Determine that described N is passed through at the time of according to the vehicles identifications of described N current vehicle and by upstream and downstream crossing
The stop frequency of vehicle；
The current state in the section is determined according to the stop frequency of described N current vehicle；
When it is determined that the current state in the section is congestion status, adjusted according to the stop frequency of described N current vehicle
The traffic phase at the whole section upstream and downstream crossing.
Alternatively, it is described according to the vehicles identifications of described N current vehicle and by upstream and downstream crossing at the time of determine
The stop frequency of the N current vehicle, including：
The history for obtaining the section upstream and downstream crossing crosses car data；
The journey time and stop frequency crossed according to the history when car data determines that current vehicle is not parking are adjacent
The journey time of current vehicle is poor；
Determine that described N is passed through at the time of according to the vehicles identifications of described N current vehicle and by upstream and downstream crossing
The journey time of vehicle；
According to journey time when not parking of the journey time of described N current vehicle, the current vehicle and described
The journey time difference of the adjacent current vehicle of stop frequency determines the stop frequency of the N current vehicle.
Alternatively, during stroke when the journey time according to described N current vehicle, the current vehicle are not parking
Between and the journey time difference of the adjacent current vehicle of the stop frequency determine that the stop frequency of the N current vehicle meets
Following formula (1)：
Ts0+ (m-1) H ＜ Ti≤Ts0+m*H………………………(1)
Wherein, Ts0For journey time of the vehicle that passes through when not parking, when H is the stroke of the adjacent current vehicle of stop frequency
Between poor, TiFor the journey time for the vehicle i that passes through, 1≤i≤N, m is current vehicle i stop frequency, and 0 ＜ m≤n, n is N and led to
The maximum stop frequency of driving；
The maximum stop frequency n of N current vehicle meets following formula (2)：
N=ceil ((max (Ti)-Ts0)/H)………………………(2)
Wherein, Ts0For journey time of the vehicle that passes through when not parking, when H is the stroke of the adjacent current vehicle of stop frequency
Between poor, TiFor the journey time for the vehicle i that passes through, 1≤i≤N, ceil () represents to take the smallest positive integral not less than () interior numerical value,
max(Ti) represent N current vehicle the range time.
Alternatively, the stop frequency according to described N current vehicle determines the current state in the section, including：
The parking ratio in the section is determined according to the stop frequency of described N current vehicle, the parking ratio is institute
State the vehicle proportion that stop frequency in N current vehicle is more than or equal to the first preset times；
Determine whether the parking ratio in the section is more than first threshold；
If, it is determined that the current state in the section is congestion status；Otherwise the current state for determining the section is
Unimpeded state.
Alternatively, it is described when it is determined that the current state in the section is congestion status, according to described N current vehicle
Stop frequency adjusts the traffic phase at the section upstream and downstream crossing, including：
It is true according to the stop frequency of described N current vehicle when it is determined that the current state in the section is congestion status
Stop frequency is the vehicle proportion of the second preset times in the fixed N current vehicle；
When it is determined that the stop frequency is less than Second Threshold for the vehicle proportion of the second preset times, increase is described
The green time at section upstream and downstream crossing；
When it is determined that the stop frequency is not less than the Second Threshold for the vehicle proportion of the second preset times, root
The phase difference of the section upstream and downstream crossing traffic phase is adjusted according to the journey time of described N current vehicle.
Correspondingly, the embodiments of the invention provide a kind of traffic phase adjusting apparatus based on road traffic state, including：
Acquisition module, the car data of crossing for obtaining section upstream and downstream crossing, the car data of crossing at least includes the road
Vehicles identifications of N current vehicle in section and at the time of by upstream and downstream crossing, N is more than or equal to 1；
Processing module, it is true at the time of for the vehicles identifications according to described N current vehicle and by upstream and downstream crossing
The stop frequency of the fixed N current vehicle；The current shape in the section is determined according to the stop frequency of described N current vehicle
State；When it is determined that the current state in the section is congestion status, according to the stop frequency adjustment of described N current vehicle
The traffic phase at section upstream and downstream crossing.
Alternatively, the processing module specifically for：
The history for obtaining the section upstream and downstream crossing crosses car data；
The journey time and stop frequency crossed according to the history when car data determines that current vehicle is not parking are adjacent
The journey time of current vehicle is poor；
Determine that described N is passed through at the time of according to the vehicles identifications of described N current vehicle and by upstream and downstream crossing
The journey time of vehicle；
According to journey time when not parking of the journey time of described N current vehicle, the current vehicle and described
The journey time difference of the adjacent current vehicle of stop frequency determines the stop frequency of the N current vehicle.
Alternatively, during stroke when the journey time according to described N current vehicle, the current vehicle are not parking
Between and the journey time difference of the adjacent current vehicle of the stop frequency determine that the stop frequency of the N current vehicle meets
Following formula (1)：
Ts0+ (m-1) H ＜ Ti≤Ts0+m*H………………………(1)
Wherein, Ts0For journey time of the vehicle that passes through when not parking, when H is the stroke of the adjacent current vehicle of stop frequency
Between poor, TiFor the journey time for the vehicle i that passes through, 1≤i≤N, m is current vehicle i stop frequency, and 0 ＜ m≤n, n is N and led to
The maximum stop frequency of driving；
The maximum stop frequency n of N current vehicle meets following formula (2)：
N=ceil ((max (Ti)-Ts0)/H)………………………(2)
Wherein, Ts0For journey time of the vehicle that passes through when not parking, when H is the stroke of the adjacent current vehicle of stop frequency
Between poor, TiFor the journey time for the vehicle i that passes through, 1≤i≤N, ceil () represents to take the smallest positive integral not less than () interior numerical value,
max(Ti) represent N current vehicle the range time.
Alternatively, the processing module specifically for：
The parking ratio in the section is determined according to the stop frequency of described N current vehicle, the parking ratio is institute
State the vehicle proportion that stop frequency in N current vehicle is more than or equal to the first preset times；
Determine whether the parking ratio in the section is more than first threshold；
If, it is determined that the current state in the section is congestion status；Otherwise the current state for determining the section is
Unimpeded state.
Alternatively, the processing module specifically for：
It is true according to the stop frequency of described N current vehicle when it is determined that the current state in the section is congestion status
Stop frequency is the vehicle proportion of the second preset times in the fixed N current vehicle；
When it is determined that the stop frequency is less than Second Threshold for the vehicle proportion of the second preset times, increase is described
The green time at section upstream and downstream crossing；
When it is determined that the stop frequency is not less than the Second Threshold for the vehicle proportion of the second preset times, root
The phase difference of the section upstream and downstream crossing traffic phase is adjusted according to the journey time of described N current vehicle.
The embodiments of the invention provide a kind of computing device, including：
Memory, for storage program instruction；
Processor, for calling the programmed instruction stored in the memory, performs according to the program of acquisition and appoints as described above
Method described in one.
The embodiments of the invention provide a kind of computer-readable storage medium, the computer-readable recording medium storage has calculating
Machine executable instruction, the computer executable instructions are used for the method for making computer perform as described above described in any one.
The embodiment of the present invention shows, obtains the car data of crossing at section upstream and downstream crossing, and the car data of crossing at least includes institute
State the vehicles identifications of N current vehicle on section and at the time of by upstream and downstream crossing, N is more than or equal to 1.According to the N
The vehicles identifications of current vehicle and the stop frequency that described N current vehicle is determined at the time of by upstream and downstream crossing.So
The current state in the section is determined according to the stop frequency of described N current vehicle afterwards.It is determined that the current shape in the section
When state is congestion status, the traffic phase at the section upstream and downstream crossing is adjusted according to the stop frequency of described N current vehicle.
Due to the current state that car data determines section of crossing according to the section upstream and downstream crossing obtained in real time, without special setting
Test vehicle passes through back and forth on section determines the current state in section, so as on the one hand reduce testing cost, on the other hand
The current state in section can more comprehensively and objectively be determined.Due to it is determined that section current state be congestion status when, root
The traffic phase at section upstream and downstream crossing is adjusted according to the stop frequency of N current vehicle, therefore when the traffic behavior in section is poor,
The problem of traffic phase at section upstream and downstream crossing is present can be determined in time and is adjusted in time, so as to effectively alleviation
The congestion in section.
Brief description of the drawings
Technical scheme in order to illustrate the embodiments of the present invention more clearly, makes required in being described below to embodiment
Accompanying drawing is briefly introduced, it should be apparent that, drawings in the following description are only some embodiments of the present invention, for this
For the those of ordinary skill in field, without having to pay creative labor, it can also be obtained according to these accompanying drawings
His accompanying drawing.
Fig. 1 is that a kind of flow of the traffic phase adjusting method based on road traffic state provided in an embodiment of the present invention is shown
It is intended to；
Fig. 2 is a kind of schematic diagram of a scenario that the embodiment of the present invention is applicable；
Fig. 3 is a kind of schematic flow sheet for determining current vehicle parking number of times provided in an embodiment of the present invention；
Fig. 4 is a kind of method flow schematic diagram for handling vehicle missing inspection and flase drop provided in an embodiment of the present invention；
Fig. 5 is a kind of schematic flow sheet for adjusting traffic phase method provided in an embodiment of the present invention；
Fig. 6 is stopped the schematic diagram of red light position by the current vehicle of parking provided in an embodiment of the present invention once；
Fig. 7 is that a kind of structure of the traffic phase adjusting apparatus based on road traffic state provided in an embodiment of the present invention is shown
It is intended to.
Embodiment
In order that the purpose of the present invention, technical scheme and beneficial effect are more clearly understood, below in conjunction with accompanying drawing and implementation
Example, the present invention will be described in further detail.It should be appreciated that specific embodiment described herein is only to explain this hair
It is bright, it is not intended to limit the present invention.
The embodiments of the invention provide a kind of traffic phase adjusting method based on road traffic state, as shown in figure 1, bag
Include following steps：
Step S101, obtain section upstream and downstream crossing crosses car data.
Step S102, determines that N is passed through at the time of according to the vehicles identifications of N current vehicle and by upstream and downstream crossing
The stop frequency of vehicle.
Step S103, the current state in section is determined according to the stop frequency of N current vehicle.
Step S104, when it is determined that the current state in section is congestion status, is adjusted according to the stop frequency of N current vehicle
The traffic phase at whole section upstream and downstream crossing.
Specifically, in step S101, cross car data at least include section on N current vehicle vehicles identifications and
At the time of by upstream and downstream crossing, N is more than or equal to 1.N current vehicle can be the wagon flow of one or more traffic phase cyclings
Amount.Crossing car data can be by electronic police, electronic license plate, radio frequency identification (Radio Frequency Identification, letter
Claiming RFID) equipment, global positioning system (Global Positioning System, abbreviation GPS) etc. can recognize and registration of vehicle
The equipment of information is obtained.In addition to car data is crossed at the time of including vehicles identifications and by upstream and downstream crossing, in addition to vehicle
Type, track, direction of traffic etc., wherein vehicles identifications can be license plate numbers.Introduced below by taking electronic police as an example and obtain section A
The process of car data is crossed at upstream and downstream crossing, as shown in Figure 2：Section A includes upstream crossing and downstream road junction, and upstream and downstream crossing is all provided with
It is equipped with electronic police.The location of electronic police is apart from 18-23 meters of stop line, and what electronic police was detected, which crosses car data, includes
License plate number, type of vehicle, direction of traffic, track and at the time of by stop line, electronic police is every 1 minute to central server
Transmission primaries data.Electronic police is uploaded to the data format of central server as shown in table 1, and every record includes 5 attribute
Data, are license plate number, type of vehicle, direction of traffic, track and at the time of by stop line respectively.
Table 1
| License plate number | Type of vehicle | Direction of traffic | Track | At the time of by stop line |
| Shandong B7DE81 | Car | East | Track 1 | 2014-8-15 0:00:34 |
| Shandong BTQ331 | Large car | West | Track 2 | 2014-8-15 0:00:36 |
| Shandong BJ8F57 | Car | South | Track 3 | 2014-8-15 0:01:31 |
| Shandong B26V62 | Car | North | Track 1 | 2014-8-15 0:01:36 |
In step s 102, the current vehicle recorded according to electronic police is by the time of upstream and downstream crossing and current car
Vehicles identifications can determine that the journey time of current vehicle, specifically meet following formula (3)：
Wherein, TiFor pass through vehicle i journey time,At the time of for current vehicle i by downstream road junction,It is current
At the time of vehicle i is by upstream crossing.
After determining the journey time of current vehicle according to formula (3), determined according to the journey time of current vehicle logical
The stop frequency of driving.
In step s 103, the current state in section includes unimpeded state and congestion status.It should be noted that section
Current state is not limited in being divided into above two state, such as can also by current state demarcation preferably, it is preferable, medium,
Poor, difference, specific divide can determine as the case may be.Due to crossing car data according to acquisition section upstream and downstream crossing in real time
The current state in section is determined, is passed through back and forth on section without special setting test vehicle and determines the current shape in section
State, so as on the one hand reduce testing cost, on the other hand can more comprehensively and objectively determine the current state in section.Due to
When it is determined that the current state in section is congestion status, section upstream and downstream crossing is adjusted according to the stop frequency of N current vehicle
Traffic phase, therefore when the traffic behavior in section is poor, can determine that the traffic phase at section upstream and downstream crossing is deposited in time
The problem of and be adjusted in time, so as to effectively alleviate section congestion.
Specifically, passing through, vehicle parking number of times is more, and it is bigger by the journey time in section, therefore according to current car
Journey time and stop frequency between corresponding relation can determine the stop frequency of each car.In order to determine to pass through
Corresponding relation between the journey time and stop frequency of vehicle, it is necessary first to it is determined that journey time when current vehicle is not parking
And the journey time of the adjacent current vehicle of stop frequency is poor.The journey time difference of the adjacent current vehicle of stop frequency is
Stopping the increased journey time of train institute current vehicle, such as the stop frequency for the vehicle A that passes through is 1 time, and current vehicle B's stops more
Train number number is 2 times, and the difference of current vehicle B journey time and current vehicle A journey time is to stop once current vehicle B more
The increased journey time of car institute.Stop a train more current vehicle and mean that one red time of many waits, when being reflected in stroke
Between on can increase a red time.Because queuing vehicle by static to motion needs a startup time, therefore current vehicle
The increased journey times of train institute of stopping in addition to a red time more, in addition to starts the time, specifically meets following public affairs
Formula (4)：
H=R+ β ... ... ... ... ... ... ... (4)
Wherein, H is poor for the journey time of the adjacent current vehicle of stop frequency, and R is red time length, when β is starts
Between.Because red time and startup time are the relatively-stationary time, therefore during the stroke of the adjacent current vehicle of stop frequency
Between difference be also a relatively-stationary numerical value, crossing car data by statistical history can determine.
Journey time and stop frequency when determining that current vehicle is not parking below with specific embodiment pair is adjacent
The process of the journey time difference of current vehicle is illustrated.The history for obtaining section upstream and downstream crossing crosses car data, from history mistake
The travel time data that the less period t of vehicle parking is chosen in car data is designated as Tt, the less period of generally stopping is flat peak
Period and night-time hours, specific t can take zero point to the period between 6 points of morning.Using 5 minutes as time interval divide when
Section t, calculates the quantile of journey time in each five-minute period interval.Specific quantile value can be true according to actual conditions
It is fixed, such as the quantile of 25% point position, the quantile of 50% point of position, the quantile of 75% point of position.Point position obtained according to calculating
Number determines the journey time set T at each five-minute period interval in period tt={ T1,T2...Tj...Tn, wherein TjFor j-th 5
Vehicle travel time quantile in period minute.Then it is true according to the journey time set at each five-minute period interval in period t
Surely the journey time when vehicle that passes through is not parking, specifically meets following formula (5)
Wherein, Ts0For journey time of the vehicle that passes through when not parking, TjVehicle travel time point in j-th of 5 minute periods
Digit.
It is determined that after journey time when current vehicle is not parking, crossing car data according to history and determining that section downstream road junction exists
The red time of the vehicle flowrate of each traffic phase cycling and section direction of traffic in period t.According to downstream road junction in period t
Vehicle flowrate, the red time of section direction of traffic of interior each traffic phase cycling determine the average red of downstream road junction in period t
The lamp time, specifically meet following formula (6)：
Wherein,For the average red time of downstream road junction in period t, qkPass through for traffic phase cycling k downstream road junctions
Vehicle flowrate, RkFor the red time of traffic phase cycling k direction of traffics, s is the traffic phase of downstream road junction operation in section in period t
Bit period number.
After determining the average red time in period t, using the method for Multilayer networks to journey time set Tt
={ T1,T2...Tj...TnCarry out Multilayer networks determine the top of Multilayer networks value, the corresponding stroke in secondary peak
Time, the corresponding journey time in top is designated as Tmax1, the corresponding journey time in secondary peak is designated as Tmax2.It is general according to what is obtained
When average red time in top, the corresponding journey time in secondary peak and the period t of rate density estimation value determines to start
Between, specifically meet following formula (7)：
Wherein, β is the startup time,For the average red time in period t, Tmax1For Multilayer networks value top
Corresponding journey time, Tmax2For the corresponding journey time in Multilayer networks value time peak.
The adjacent current vehicle of stop frequency is determined finally according to average red time, startup time and formula (4)
Journey time is poor.It is adjacent due to crossing journey time and stop frequency when car data determines that current vehicle is not parking according to history
Current vehicle journey time it is poor, therefore according to journey time of vehicle when not parking and the adjacent current vehicle of stop frequency
The stop frequency of current vehicle that determines of journey time difference can more react the current state in section, so as to improve judgement
The accuracy of the current state in section.
Lower mask body introduces the process for the stop frequency that current vehicle is determined according to the journey time of current vehicle, such as Fig. 3
It is shown, comprise the following steps：
Step S301, the range time of N current vehicle is determined according to the journey time of N current vehicle.
Step S302, according to journey time when not parking of the range time of N current vehicle, current vehicle and
The journey time difference of the adjacent current vehicle of stop frequency determines the maximum stop frequency of N current vehicle.
Step S303, according to the journey time of current vehicle, the maximum stop frequency of N current vehicle, current vehicle not
The journey time difference of the adjacent current vehicle of journey time and stop frequency during parking determines the stop frequency of current vehicle.
Specifically, in step s 302, according to the range time of N current vehicle, current vehicle when not parking
Journey time and the journey time of the adjacent current vehicle of stop frequency difference determine the maximum stop frequency symbol of N current vehicle
Close following formula (2)：
N=ceil ((max (Ti)-Ts0)/H)………………………(2)
Wherein, Ts0For journey time of the vehicle that passes through when not parking, when H is the stroke of the adjacent current vehicle of stop frequency
Between poor, TiFor the journey time for the vehicle i that passes through, 1≤i≤N, ceil () represents to take the smallest positive integral not less than () interior numerical value,
max(Ti) represent N current vehicle the range time.
In step S303, according to the journey time of current vehicle, the maximum stop frequency of N current vehicle, current car
The journey time difference of journey time and the adjacent current vehicle of stop frequency when not parking determines the parking of current vehicle
Number of times meets following formula (1)：
Ts0+ (m-1) H ＜ Ti≤Ts0+m*H………………………(1)
Wherein, Ts0For journey time of the vehicle that passes through when not parking, when H is the stroke of the adjacent current vehicle of stop frequency
Between poor, TiFor the journey time for the vehicle i that passes through, 1≤i≤N, m is current vehicle i stop frequency, and 0 ＜ m≤n, n is N and led to
The maximum stop frequency of driving.Journey time and stop frequency are defined by crossing car data progress statistical analysis to history
Between corresponding relation, the parking of current vehicle is then determined according to the journey time of obtained corresponding relation and current vehicle
Number of times, so as to improve the precision for determining stop frequency.
Very accurately detect vehicle because the equipment such as electronic police can not be ensured, exist missing inspection to a certain extent and
Flase drop, it is therefore desirable to supplement the stop frequency of missing inspection and flase drop vehicle, the embodiment of the present invention is directed to vehicle queue process
Present in missing inspection and flase drop following processing method is provided, as shown in figure 4, comprising the following steps：
Step S401, obtain flase drop vehicle i spends car moment ti。
Step S402, is obtained apart from tiFront and rear two car that is nearest and can calculating journey time crosses car moment tqAnd th。
Step S403, judges | ti-tq| whether it is less than or equal to | ti-th|, if so, then performing step S404, otherwise perform
Step S405.
Step S404, vehicle q stop frequency is defined as flase drop vehicle i stop frequency.
Step S405, vehicle h stop frequency is defined as flase drop vehicle i stop frequency.
Step S406, judges whether to have confirmed the stop frequency of all flase drop vehicles, if so, then performing step
S407, otherwise performs step S401.
Step S407, calculate any front and rear two cars by crossing spends car moment difference ti+1-ti。
Step S408, judges ti+1-tiWhether time difference threshold range (a, b) is met, if so, then execution step S409, no
Then perform step S413.
Whether step S409, judge vehicle i and vehicle i+1 in same track, if so, then performing step S410, otherwise holds
Row step S413.
Step S410, judges whether vehicle i is both greater than 0 time with vehicle i+1 stop frequency and stop frequency is identical, if
It is then to perform step S411, otherwise performs step S413.
Step S411, determines there is missing inspection vehicle between vehicle i and vehicle i+1.
Step S412, inserts a car, the stop frequency phase of stop frequency and vehicle i between vehicle i and vehicle i+1
Together.
Step S413, determines that missing inspection vehicle is not present between vehicle i and vehicle i+1.
In the embodiment of the present invention, by the vehicle equipments such as electronic police are detected cross car data carry out flase drop and
Missing inspection judges, and flase drop and the car data excessively of missing inspection are corrected, and revised car data excessively can be anti-more fully hereinafter
The stop frequency for the vehicle that passed through on section is mirrored, and then improves the accuracy for judging the current state in section.
Further, it is true according to the stop frequency of revised current vehicle after being modified to missing inspection and flase drop vehicle
Determine the current state in section, specifically include following steps：
Determine the parking ratio in section according to the stop frequency of N current vehicle, parking ratio is to stop in N current vehicle
Train number number is more than or equal to the vehicle proportion of the first preset times.When the parking ratio in section is more than first threshold, it is determined that
The current state in section is congestion status, and the current state for otherwise determining section is unimpeded state.Wherein the first preset times and
First threshold can determine as the case may be, such as the first preset times can be set to once, twice or other number of times.First
Threshold value can be set to 40%, 50% etc..Illustrated below with specific embodiment, set the first predetermined threshold value as once, first
Threshold value be 40%, N=100,100 a current vehicle be multiple traffic phase cyclings vehicle flowrate, wherein stop frequency be more than etc.
It it is 50 in vehicle once, the parking ratio that section is understood by calculating is 50%, more than first threshold, then section is current
State is congestion status.
In addition to the method mentioned in above-described embodiment, the embodiment of the present invention additionally provides another determination congestion status
Method, set the first predetermined threshold value as once, first threshold is for 2 traffic in 40%, N=100,100 a current vehicle
The vehicle flowrate of phase cycling, wherein the vehicle flowrate of the first traffic phase cycling is 40, the vehicle flowrate of the second traffic phase cycling is
60, the parking ratio in section in two traffic phase cyclings is calculated respectively.Set 40 current cars in the first traffic phase cycling
The current vehicle that middle stop frequency is more than once is 10, then the parking ratio in section is in the first traffic phase cycling
25%.Set in the second traffic phase cycling stop frequency in 60 current vehicles and be more than current vehicle once as 40, then
The parking ratio in section is 66% in second traffic phase cycling.By calculating parking of the section in the first traffic phase cycling
The average value of ratio and the parking ratio in the second traffic phase cycling determines that the parking ratio in section is 45.5%, more than first
Threshold value, then the current state in section is congestion status.
When it is determined that the current state in section is congestion status, adjusted according to the stop frequency of N current vehicle on section
The process of the traffic phase of downstream road junction comprises the following steps, as shown in Figure 5：
Step S501, determines that stop frequency is second default in N current vehicle according to the stop frequency of N current vehicle
The vehicle proportion of number of times.
Step S502, when it is determined that stop frequency is less than Second Threshold for the vehicle proportion of the second preset times, increases
Plus the green time at section upstream and downstream crossing.
Step S503, when it is determined that stop frequency is not less than Second Threshold for the vehicle proportion of the second preset times,
The phase difference of section upstream and downstream crossing traffic phase is adjusted according to the journey time of N current vehicle.
In specific implementation, the second preset times and Second Threshold are determined as the case may be, such as the second preset times can
Think once, twice or other number of times.Second Threshold can be 40%, 50%, 60% etc..Below with specific example to upper
The process of stating is illustrated：The second preset times are set as once, Second Threshold is 60%, section A is in congestion status.If section
Stop frequency is 50% for vehicle proportion once in A current vehicle, illustrates the green time mistake of section A direction of traffics
It is short, then increase the green time of section A downstream road junctions.If stop frequency is shared by vehicle once in section A current vehicle
Ratio is 70%, then further calculates the position that the current vehicle stopped once in N current vehicle stops red light, then basis
The current vehicle stopped in N current vehicle once stops the traffic phase at the position adjustment section A upstream and downstream crossing of red light, tool
Body process is：
The journey time average value for the vehicle that stop frequency in N current vehicle is zero degree is calculated firstAnd parking time
Number is the journey time average value of vehicle onceThen basisAnd average red timeIt is determined that parking is once
Current vehicle stop the position of red light, as shown in fig. 6, being specially：
IfIllustrate that the current vehicle of section A parkings once is to reach downstream road junction at red light end, than
Such as the vehicle 1 in Fig. 6, further orient the problem of section A is present be upstream and downstream crossing traffic phase phase difference it is excessive, therefore
Reduce the phase difference of section A upstream and downstream crossing traffic phases.
IfIllustrate that the current vehicle of section A parkings once is to reach downstream road junction when red light starts,
Vehicle 2 in such as Fig. 6, further orient the problem of section A is present be upstream and downstream crossing traffic phase phase difference it is too small,
Therefore increasing the phase difference of section A upstream and downstream crossing traffic phases, wherein C represents control parameter, and C value can be as the case may be
Set, such as C=0.5.
From the above, it is seen that due to determining section according to the car data of crossing for obtaining section upstream and downstream crossing in real time
Current state, passes through and determines the current state in section, so that a side back and forth without special setting test vehicle on section
Face reduces testing cost, on the other hand can more comprehensively and objectively determine the current state in section.Due to it is determined that section
Current state when being congestion status, the traffic phase at section upstream and downstream crossing is adjusted according to the stop frequency of N current vehicle,
Therefore when the traffic behavior in section is poor, can determine in time the problem of traffic phase at section upstream and downstream crossing is present and and
When be adjusted, so as to effectively alleviate section congestion.
Based on identical technical concept, the embodiment of the present invention additionally provides a kind of traffic phase based on road traffic state
Adjusting apparatus, as shown in fig. 7, comprises：
Acquisition module 701, the car data of crossing for obtaining section upstream and downstream crossing is described to cross car data at least including described
Vehicles identifications of N current vehicle on section and at the time of by upstream and downstream crossing, N is more than or equal to 1；
Processing module 702, at the time of for the vehicles identifications according to described N current vehicle and by upstream and downstream crossing
Determine the stop frequency of described N current vehicle；The current of the section is determined according to the stop frequency of described N current vehicle
State；When it is determined that the current state in the section is congestion status, institute is adjusted according to the stop frequency of described N current vehicle
State the traffic phase at section upstream and downstream crossing.
Alternatively, the processing module 702 specifically for：
The history for obtaining the section upstream and downstream crossing crosses car data；
The journey time and stop frequency crossed according to the history when car data determines that current vehicle is not parking are adjacent
The journey time of current vehicle is poor；
Determine that described N is passed through at the time of according to the vehicles identifications of described N current vehicle and by upstream and downstream crossing
The journey time of vehicle；
According to journey time when not parking of the journey time of described N current vehicle, the current vehicle and described
The journey time difference of the adjacent current vehicle of stop frequency determines the stop frequency of the N current vehicle.
Alternatively, during stroke when the journey time according to described N current vehicle, the current vehicle are not parking
Between and the journey time difference of the adjacent current vehicle of the stop frequency determine that the stop frequency of the N current vehicle meets
Following formula (1)：
Ts0+ (m-1) H ＜ Ti≤Ts0+m*H………………………(1)
Wherein, Ts0For journey time of vehicle when not parking, H is the journey time of the adjacent current vehicle of stop frequency
Difference, TiFor the journey time for the vehicle i that passes through, 1≤i≤N, m is current vehicle i stop frequency, and 0 ＜ m≤n, n is N and passed through
The maximum stop frequency of vehicle；
The maximum stop frequency n of N current vehicle meets following formula (2)：
N=ceil ((max (Ti)-Ts0)/H)………………………(2)
Wherein, Ts0For journey time of vehicle when not parking, H is the journey time of the adjacent current vehicle of stop frequency
Difference, TiFor the journey time for the vehicle i that passes through, 1≤i≤N, ceil () represents to take the smallest positive integral not less than () interior numerical value, max
(Ti) represent N current vehicle the range time.
Alternatively, the processing module 702 specifically for：
The parking ratio in the section is determined according to the stop frequency of described N current vehicle, the parking ratio is institute
State the vehicle proportion that stop frequency in N current vehicle is more than or equal to the first preset times；
Determine whether the parking ratio in the section is more than first threshold；
If, it is determined that the current state in the section is congestion status；Otherwise the current state for determining the section is
Unimpeded state.
Alternatively, the processing module 702 specifically for：
It is true according to the stop frequency of described N current vehicle when it is determined that the current state in the section is congestion status
Stop frequency is the vehicle proportion of the second preset times in the fixed N current vehicle；
When it is determined that the stop frequency is less than Second Threshold for the vehicle proportion of the second preset times, increase is described
The green time at section upstream and downstream crossing；
When it is determined that the stop frequency is not less than the Second Threshold for the vehicle proportion of the second preset times, root
The phase difference of the section upstream and downstream crossing traffic phase is adjusted according to the journey time of described N current vehicle.
The embodiments of the invention provide a kind of computing device, the computing device is specifically as follows desktop computer, portable
Computer, smart mobile phone, tablet personal computer, personal digital assistant (Personal Digital Assistant, PDA) etc..The meter
Central processing unit (Center Processing Unit, CPU), memory, input-output apparatus etc. can be included by calculating equipment,
Input equipment can include keyboard, mouse, touch-screen etc., and output equipment can include display device, such as liquid crystal display
(Liquid Crystal Display, LCD), cathode-ray tube (Cathode Ray Tube, CRT) etc..
Memory, can include read-only storage (ROM) and random access memory (RAM), and deposit to processor offer
The programmed instruction and data stored in reservoir.In embodiments of the present invention, memory can be used for storage based on road traffic shape
The programmed instruction of the traffic phase adjusting method of state.
Processor, for calling the programmed instruction stored in the memory, performs according to the program of acquisition and appoints as described above
Method described in one.
The embodiments of the invention provide a kind of computer-readable storage medium, the computer-readable recording medium storage has calculating
Machine executable instruction, the computer executable instructions are used for the method for making computer perform as described above described in any one.
It should be understood by those skilled in the art that, embodiments of the invention can be provided as method or computer program product.
Therefore, the present invention can be using the embodiment in terms of complete hardware embodiment, complete software embodiment or combination software and hardware
Form.Deposited moreover, the present invention can use to can use in one or more computers for wherein including computer usable program code
The shape for the computer program product that storage media is implemented on (including but is not limited to magnetic disk storage, CD-ROM, optical memory etc.)
Formula.
The present invention is the flow with reference to method according to embodiments of the present invention, equipment (system) and computer program product
Figure and/or block diagram are described.It should be understood that can be by every first-class in computer program instructions implementation process figure and/or block diagram
Journey and/or the flow in square frame and flow chart and/or block diagram and/or the combination of square frame.These computer programs can be provided
The processor of all-purpose computer, special-purpose computer, Embedded Processor or other programmable data processing devices is instructed to produce
A raw machine so that produced by the instruction of computer or the computing device of other programmable data processing devices for real
The device for the function of being specified in present one flow of flow chart or one square frame of multiple flows and/or block diagram or multiple square frames.
These computer program instructions, which may be alternatively stored in, can guide computer or other programmable data processing devices with spy
Determine in the computer-readable memory that mode works so that the instruction being stored in the computer-readable memory, which is produced, to be included referring to
Make the manufacture of device, the command device realize in one flow of flow chart or multiple flows and/or one square frame of block diagram or
The function of being specified in multiple square frames.
These computer program instructions can be also loaded into computer or other programmable data processing devices so that in meter
Series of operation steps is performed on calculation machine or other programmable devices to produce computer implemented processing, thus in computer or
The instruction performed on other programmable devices is provided for realizing in one flow of flow chart or multiple flows and/or block diagram one
The step of function of being specified in individual square frame or multiple square frames.
, but those skilled in the art once know basic creation although preferred embodiments of the present invention have been described
Property concept, then can make other change and modification to these embodiments.So, appended claims are intended to be construed to include excellent
Select embodiment and fall into having altered and changing for the scope of the invention.
Obviously, those skilled in the art can carry out the essence of various changes and modification without departing from the present invention to the present invention
God and scope.So, if these modifications and variations of the present invention belong to the scope of the claims in the present invention and its equivalent technologies
Within, then the present invention is also intended to comprising including these changes and modification.
Claims (12)
1. a kind of traffic phase adjusting method based on road traffic state, it is characterised in that including：
The car data of crossing at section upstream and downstream crossing is obtained, the car data of crossing at least includes N current vehicle on the section
Vehicles identifications and at the time of by upstream and downstream crossing, N is more than or equal to 1；
Described N current vehicle is determined at the time of according to the vehicles identifications of described N current vehicle and by upstream and downstream crossing
Stop frequency；
The current state in the section is determined according to the stop frequency of described N current vehicle；
When it is determined that the current state in the section is congestion status, institute is adjusted according to the stop frequency of described N current vehicle
State the traffic phase at section upstream and downstream crossing.
2. the method as described in claim 1, it is characterised in that the vehicles identifications according to described N current vehicle and
The stop frequency of described N current vehicle is determined at the time of by upstream and downstream crossing, including：
The history for obtaining the section upstream and downstream crossing crosses car data；
Adjacent current of journey time and stop frequency when car data determines that current vehicle is not parking is crossed according to the history
The journey time of vehicle is poor；
Described N current vehicle is determined at the time of according to the vehicles identifications of described N current vehicle and by upstream and downstream crossing
Journey time；
According to journey time when not parking of the journey time of described N current vehicle, the current vehicle and the parking
The journey time difference of the adjacent current vehicle of number of times determines the stop frequency of the N current vehicle.
3. method as claimed in claim 2, it is characterised in that the journey time according to described N current vehicle, described
The journey time difference of journey time and the adjacent current vehicle of the stop frequency when vehicle that passes through is not parking determines the N
The stop frequency of current vehicle meets following formula (1)：
Ts0+ (m-1) H ＜ Ti≤Ts0+m*H………………………(1)
Wherein, Ts0For journey time of the vehicle that passes through when not parking, H is the journey time of the adjacent current vehicle of stop frequency
Difference, TiFor the journey time for the vehicle i that passes through, 1≤i≤N, m is current vehicle i stop frequency, and 0 ＜ m≤n, n is N and passed through
The maximum stop frequency of vehicle；
The maximum stop frequency n of N current vehicle meets following formula (2)：
N=ceil ((max (Ti)-Ts0)/H)………………………(2)
Wherein, Ts0For journey time of the vehicle that passes through when not parking, H is the journey time of the adjacent current vehicle of stop frequency
Difference, TiFor the journey time for the vehicle i that passes through, 1≤i≤N, ceil () represents to take the smallest positive integral not less than () interior numerical value, max
(Ti) represent N current vehicle the range time.
4. the method as described in claim 1, it is characterised in that the stop frequency according to described N current vehicle is determined
The current state in the section, including：
The parking ratio in the section is determined according to the stop frequency of described N current vehicle, the parking ratio is described N
Stop frequency is more than or equal to the vehicle proportion of the first preset times in current vehicle；
Determine whether the parking ratio in the section is more than first threshold；
If, it is determined that the current state in the section is congestion status；Otherwise the current state for determining the section is unimpeded
State.
5. method as claimed in claim 4, it is characterised in that described it is determined that the current state in the section is congestion status
When, the traffic phase at the section upstream and downstream crossing is adjusted according to the stop frequency of described N current vehicle, including：
When it is determined that the current state in the section is congestion status, institute is determined according to the stop frequency of described N current vehicle
State the vehicle proportion that stop frequency in N current vehicle is the second preset times；
When it is determined that the stop frequency is less than Second Threshold for the vehicle proportion of the second preset times, increase the section
The green time at upstream and downstream crossing；
When it is determined that the stop frequency is not less than the Second Threshold for the vehicle proportion of the second preset times, according to institute
The journey time for stating N current vehicle adjusts the phase difference of the section upstream and downstream crossing traffic phase.
6. a kind of traffic phase adjusting apparatus based on road traffic state, it is characterised in that including：
Acquisition module, the car data of crossing for obtaining section upstream and downstream crossing, the car data of crossing at least includes on the section
N current vehicle vehicles identifications and at the time of by upstream and downstream crossing, N is more than or equal to 1；
Processing module, institute is determined at the time of for the vehicles identifications according to described N current vehicle and by upstream and downstream crossing
State the stop frequency of N current vehicle；The current state in the section is determined according to the stop frequency of described N current vehicle；
When it is determined that the current state in the section is congestion status, the road is adjusted according to the stop frequency of described N current vehicle
The traffic phase at section upstream and downstream crossing.
7. device as claimed in claim 6, it is characterised in that the processing module specifically for：
The history for obtaining the section upstream and downstream crossing crosses car data；
Adjacent current of journey time and stop frequency when car data determines that current vehicle is not parking is crossed according to the history
The journey time of vehicle is poor；
Described N current vehicle is determined at the time of according to the vehicles identifications of described N current vehicle and by upstream and downstream crossing
Journey time；
According to journey time when not parking of the journey time of described N current vehicle, the current vehicle and the parking
The journey time difference of the adjacent current vehicle of number of times determines the stop frequency of the N current vehicle.
8. device as claimed in claim 7, it is characterised in that the journey time according to described N current vehicle, described
The journey time difference of journey time and the adjacent current vehicle of the stop frequency when vehicle that passes through is not parking determines the N
The stop frequency of current vehicle meets following formula (1)：
Ts0+ (m-1) H ＜ Ti≤Ts0+m*H………………………(1)
Wherein, Ts0For journey time of the vehicle that passes through when not parking, H is the journey time of the adjacent current vehicle of stop frequency
Difference, TiFor the journey time for the vehicle i that passes through, 1≤i≤N, m is current vehicle i stop frequency, and 0 ＜ m≤n, n is N and passed through
The maximum stop frequency of vehicle；
The maximum stop frequency n of N current vehicle meets following formula (2)：
N=ceil ((max (Ti)-Ts0)/H)………………………(2)
Wherein, Ts0For journey time of the vehicle that passes through when not parking, H is the journey time of the adjacent current vehicle of stop frequency
Difference, TiFor the journey time for the vehicle i that passes through, 1≤i≤N, ceil () represents to take the smallest positive integral not less than () interior numerical value, max
(Ti) represent N current vehicle the range time.
9. device as claimed in claim 6, it is characterised in that the processing module specifically for：
The parking ratio in the section is determined according to the stop frequency of described N current vehicle, the parking ratio is described N
Stop frequency is more than or equal to the vehicle proportion of the first preset times in current vehicle；
Determine whether the parking ratio in the section is more than first threshold；
If, it is determined that the current state in the section is congestion status；Otherwise the current state for determining the section is unimpeded
State.
10. device as claimed in claim 9, it is characterised in that the processing module specifically for：
When it is determined that the current state in the section is congestion status, institute is determined according to the stop frequency of described N current vehicle
State the vehicle proportion that stop frequency in N current vehicle is the second preset times；
When it is determined that the stop frequency is less than Second Threshold for the vehicle proportion of the second preset times, increase the section
The green time at upstream and downstream crossing；
When it is determined that the stop frequency is not less than the Second Threshold for the vehicle proportion of the second preset times, according to institute
The journey time for stating N current vehicle adjusts the phase difference of the section upstream and downstream crossing traffic phase.
11. a kind of computing device, it is characterised in that including：
Memory, for storage program instruction；
Processor, for calling the programmed instruction stored in the memory, according to acquisition program perform as claim 1 to
Method described in 5 any one.
12. a kind of computer-readable storage medium, it is characterised in that the computer-readable recording medium storage has computer can perform
Instruction, the computer executable instructions are used to make computer perform the method as described in any one of claim 1 to 5.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710742260.XA CN107331172B (en) | 2017-08-25 | 2017-08-25 | Traffic phase adjusting method and device based on road traffic state |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710742260.XA CN107331172B (en) | 2017-08-25 | 2017-08-25 | Traffic phase adjusting method and device based on road traffic state |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN107331172A true CN107331172A (en) | 2017-11-07 |
| CN107331172B CN107331172B (en) | 2020-11-20 |
Family
ID=60228380
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201710742260.XA Active CN107331172B (en) | 2017-08-25 | 2017-08-25 | Traffic phase adjusting method and device based on road traffic state |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN107331172B (en) |
Cited By (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108109403A (en) * | 2017-12-29 | 2018-06-01 | 珠海国芯云科技有限公司 | Adaptive traffic lights control system and method based on wagon flow |
| CN110060480A (en) * | 2019-05-29 | 2019-07-26 | 招商局重庆交通科研设计院有限公司 | The control method of road section traffic flow transit time |
| CN110070721A (en) * | 2019-05-29 | 2019-07-30 | 招商局重庆交通科研设计院有限公司 | The control method of road junction traffic stream transit time based on traffic sturge theory |
| WO2020019177A1 (en) * | 2018-07-25 | 2020-01-30 | Beijing Didi Infinity Technology And Development Co., Ltd. | Systems and methods for controlling traffic lights |
| CN111815943A (en) * | 2019-04-11 | 2020-10-23 | 杭州海康威视数字技术股份有限公司 | Method, device and equipment for detecting vehicle parking times and storage medium |
| CN111932893A (en) * | 2020-08-25 | 2020-11-13 | 上海宝康电子控制工程有限公司 | Method for realizing road section state studying and judging processing based on signal and electric police data fusion technology |
| 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 |
| CN112330957A (en) * | 2020-10-14 | 2021-02-05 | 北京博研智通科技有限公司 | Intersection signal lamp control effect analysis system and method |
| CN113674541A (en) * | 2021-09-14 | 2021-11-19 | 逸兴泰辰技术有限公司 | Crossing traffic light passing time adjusting method and server |
| CN113888872A (en) * | 2021-10-20 | 2022-01-04 | 沈阳世纪高通科技有限公司 | Method for calculating traffic light duration based on floating car data |
| CN114170795A (en) * | 2021-11-20 | 2022-03-11 | 武汉鑫弘凯交通科技有限公司 | Internet of things traffic monitoring system in intelligent traffic system and use method thereof |
| CN114280609A (en) * | 2021-12-28 | 2022-04-05 | 上海恒岳智能交通科技有限公司 | 77GHz millimeter wave signal detection processing method and system |
Citations (18)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102005124A (en) * | 2010-11-16 | 2011-04-06 | 青岛海信网络科技股份有限公司 | Method and device for controlling traffic signals of intersections |
| CN102592464A (en) * | 2012-03-12 | 2012-07-18 | 山东大学 | Video-based phase difference fuzzy reasoning determining method |
| CN103021195A (en) * | 2012-12-10 | 2013-04-03 | 浙江大学 | Optimization method for adjacent intersections to coordinate and control phase difference |
| CN103794046A (en) * | 2012-10-29 | 2014-05-14 | 日电（中国）有限公司 | Method and device for determining travelling range and system for displaying travelling range |
| CN104021682A (en) * | 2014-05-06 | 2014-09-03 | 东南大学 | Oversaturated intersection self-repairing control method |
| CN104392607A (en) * | 2014-11-18 | 2015-03-04 | 青岛海信网络科技股份有限公司 | Method and device for identifying traffic conditions |
| CN104679984A (en) * | 2014-12-30 | 2015-06-03 | 同济大学 | Urban road and intersection evaluating method based on Kalman filtering |
| CN104699956A (en) * | 2015-02-02 | 2015-06-10 | 北京工业大学 | Method for evaluating arterial green wave coordination effect based on mobile terminal |
| CN105336183A (en) * | 2015-10-26 | 2016-02-17 | 青岛海信网络科技股份有限公司 | Traffic congestion control method and device based on road section passing capacity |
| CN105390000A (en) * | 2015-12-18 | 2016-03-09 | 天津通翔智能交通系统有限公司 | Traffic signal control system and method based on road condition traffic big data |
| CN106355885A (en) * | 2016-11-24 | 2017-01-25 | 深圳市永达电子信息股份有限公司 | Traffic signal dynamic control method and system based on big data analysis platform |
| 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 |
| CN106600987A (en) * | 2016-12-28 | 2017-04-26 | 北京博研智通科技有限公司 | Intersection traffic signal control method and system having multi-dimensional detection function |
| CN106781460A (en) * | 2016-11-30 | 2017-05-31 | 北京掌行通信息技术有限公司 | A kind of road section traffic volume state determines method and device |
| CN106846809A (en) * | 2017-03-12 | 2017-06-13 | 浙江大学 | A kind of farthest point calculating method of queuing based on vehicle parking number of times |
| 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 |
| US20170206783A1 (en) * | 2016-01-14 | 2017-07-20 | Siemens Industry, Inc. | Systems and methods to detect vehicle queue lengths of vehicles stopped at a traffic light signal |
| CN107085952A (en) * | 2017-06-28 | 2017-08-22 | 北京数行健科技有限公司 | A kind of method of evaluation region traffic signal timing scheme, apparatus and system |
-
2017
- 2017-08-25 CN CN201710742260.XA patent/CN107331172B/en active Active
Patent Citations (18)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102005124A (en) * | 2010-11-16 | 2011-04-06 | 青岛海信网络科技股份有限公司 | Method and device for controlling traffic signals of intersections |
| CN102592464A (en) * | 2012-03-12 | 2012-07-18 | 山东大学 | Video-based phase difference fuzzy reasoning determining method |
| CN103794046A (en) * | 2012-10-29 | 2014-05-14 | 日电（中国）有限公司 | Method and device for determining travelling range and system for displaying travelling range |
| CN103021195A (en) * | 2012-12-10 | 2013-04-03 | 浙江大学 | Optimization method for adjacent intersections to coordinate and control phase difference |
| CN104021682A (en) * | 2014-05-06 | 2014-09-03 | 东南大学 | Oversaturated intersection self-repairing control method |
| CN104392607A (en) * | 2014-11-18 | 2015-03-04 | 青岛海信网络科技股份有限公司 | Method and device for identifying traffic conditions |
| CN104679984A (en) * | 2014-12-30 | 2015-06-03 | 同济大学 | Urban road and intersection evaluating method based on Kalman filtering |
| CN104699956A (en) * | 2015-02-02 | 2015-06-10 | 北京工业大学 | Method for evaluating arterial green wave coordination effect based on mobile terminal |
| CN105336183A (en) * | 2015-10-26 | 2016-02-17 | 青岛海信网络科技股份有限公司 | Traffic congestion control method and device based on road section passing capacity |
| CN105390000A (en) * | 2015-12-18 | 2016-03-09 | 天津通翔智能交通系统有限公司 | Traffic signal control system and method based on road condition traffic big data |
| US20170206783A1 (en) * | 2016-01-14 | 2017-07-20 | Siemens Industry, Inc. | Systems and methods to detect vehicle queue lengths of vehicles stopped at a traffic light signal |
| 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 |
| CN106355885A (en) * | 2016-11-24 | 2017-01-25 | 深圳市永达电子信息股份有限公司 | Traffic signal dynamic control method and system based on big data analysis platform |
| CN106781460A (en) * | 2016-11-30 | 2017-05-31 | 北京掌行通信息技术有限公司 | A kind of road section traffic volume state determines method and device |
| CN106600987A (en) * | 2016-12-28 | 2017-04-26 | 北京博研智通科技有限公司 | Intersection traffic signal control method and system having multi-dimensional detection function |
| CN106846809A (en) * | 2017-03-12 | 2017-06-13 | 浙江大学 | A kind of farthest point calculating method of queuing based on vehicle parking number of times |
| 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 |
| CN107085952A (en) * | 2017-06-28 | 2017-08-22 | 北京数行健科技有限公司 | A kind of method of evaluation region traffic signal timing scheme, apparatus and system |
Cited By (22)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108109403B (en) * | 2017-12-29 | 2020-12-22 | 珠海国芯云科技有限公司 | Adaptive traffic light control system and method based on traffic flow |
| CN108109403A (en) * | 2017-12-29 | 2018-06-01 | 珠海国芯云科技有限公司 | Adaptive traffic lights control system and method based on wagon flow |
| WO2020019177A1 (en) * | 2018-07-25 | 2020-01-30 | Beijing Didi Infinity Technology And Development Co., Ltd. | Systems and methods for controlling traffic lights |
| CN111033592B (en) * | 2018-07-25 | 2022-04-05 | 北京嘀嘀无限科技发展有限公司 | System and method for controlling traffic lights |
| US10600320B2 (en) | 2018-07-25 | 2020-03-24 | Beijing Didi Infinity Technology And Development Co., Ltd. | Systems and methods for controlling traffic lights |
| CN111033592A (en) * | 2018-07-25 | 2020-04-17 | 北京嘀嘀无限科技发展有限公司 | System and method for controlling traffic lights |
| CN111815943A (en) * | 2019-04-11 | 2020-10-23 | 杭州海康威视数字技术股份有限公司 | Method, device and equipment for detecting vehicle parking times and storage medium |
| CN111815943B (en) * | 2019-04-11 | 2021-09-10 | 杭州海康威视数字技术股份有限公司 | Method, device and equipment for detecting vehicle parking times and storage medium |
| CN110070721A (en) * | 2019-05-29 | 2019-07-30 | 招商局重庆交通科研设计院有限公司 | The control method of road junction traffic stream transit time based on traffic sturge theory |
| CN110060480A (en) * | 2019-05-29 | 2019-07-26 | 招商局重庆交通科研设计院有限公司 | The control method of road section traffic flow transit time |
| CN110070721B (en) * | 2019-05-29 | 2021-07-20 | 招商局重庆交通科研设计院有限公司 | Road node traffic flow traffic time control method based on traffic fluctuation theory |
| CN110060480B (en) * | 2019-05-29 | 2021-09-07 | 招商局重庆交通科研设计院有限公司 | Method for controlling traffic flow running time of road section |
| CN111932893A (en) * | 2020-08-25 | 2020-11-13 | 上海宝康电子控制工程有限公司 | Method for realizing road section state studying and judging processing based on signal and electric police data fusion technology |
| 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 |
| CN112330957A (en) * | 2020-10-14 | 2021-02-05 | 北京博研智通科技有限公司 | Intersection signal lamp control effect analysis system and method |
| CN112330957B (en) * | 2020-10-14 | 2021-10-15 | 北京博研智通科技有限公司 | Intersection signal lamp control effect analysis system and method |
| CN113674541A (en) * | 2021-09-14 | 2021-11-19 | 逸兴泰辰技术有限公司 | Crossing traffic light passing time adjusting method and server |
| CN113888872A (en) * | 2021-10-20 | 2022-01-04 | 沈阳世纪高通科技有限公司 | Method for calculating traffic light duration based on floating car data |
| CN114170795A (en) * | 2021-11-20 | 2022-03-11 | 武汉鑫弘凯交通科技有限公司 | Internet of things traffic monitoring system in intelligent traffic system and use method thereof |
| CN114170795B (en) * | 2021-11-20 | 2023-04-07 | 武汉鑫弘凯交通科技有限公司 | Use method of Internet of things traffic monitoring system in intelligent traffic system |
| CN114280609A (en) * | 2021-12-28 | 2022-04-05 | 上海恒岳智能交通科技有限公司 | 77GHz millimeter wave signal detection processing method and system |
| CN114280609B (en) * | 2021-12-28 | 2023-10-13 | 上海恒岳智能交通科技有限公司 | 77GHz millimeter wave signal detection processing method and system |
Also Published As
| Publication number | Publication date |
|---|---|
| CN107331172B (en) | 2020-11-20 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN107331172A (en) | A kind of traffic phase adjusting method and device based on road traffic state | |
| Hill et al. | Exploratory analysis of lane changing on freeways based on driver behavior | |
| CN109308543A (en) | The short-term passenger flow forecasting of subway based on LS-SVM and real-time big data | |
| CN107945507A (en) | Travel Time Estimation Method and device | |
| CN105241465B (en) | A kind of method of road renewal | |
| CN110222131A (en) | The beginning and the end information extracting method and device | |
| CN102324128A (en) | Method for predicting OD (Origin-Destination) passenger flow among bus stations on basis of IC (Integrated Circuit)-card record and device | |
| CN109360416A (en) | Road traffic prediction technique and server | |
| CN106571029A (en) | Method and device for detecting vehicle queue length | |
| WO2020108219A1 (en) | Traffic safety risk based group division and difference analysis method and system | |
| EP3699642A1 (en) | Vehicle positioning method and apparatus | |
| CN106875734A (en) | A kind of method and device for pushing parking route | |
| CN113053103B (en) | Traffic simulation model generation method, traffic flow prediction method and related device | |
| CN104469932A (en) | Position fingerprint positioning method based on support vector machine | |
| CN105279963B (en) | A kind of method and device for obtaining traffic information | |
| CN106251628B (en) | A kind of method and device of the traffic trip amount of determining motor vehicle | |
| CN110070718A (en) | Expressway Service service quality dynamic assessment method, system and equipment | |
| CN104700630A (en) | Method and system for monitoring vehicle flow of highway | |
| CN112005562A (en) | Determining vehicle congestion using real-time location data | |
| CN109635629A (en) | A kind of bus platform crowd density detection method and device based on deep learning | |
| CN105869402A (en) | Highway section speed correction method based on multiple types of floating car data | |
| CN114509081B (en) | Method and device for calculating vehicle passing cost based on differential charging | |
| LU500569B1 (en) | Method and device for acquiring driving test cycle weight factors based on gis large data | |
| CN110362640A (en) | A kind of method for allocating tasks and device based on electronic map data | |
| CN106355329A (en) | Method and system for testing sign aligning ability of driver |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |