CN109409708A - Traffic lights based on big data protect power supply prioritisation algorithm - Google Patents
Traffic lights based on big data protect power supply prioritisation algorithm Download PDFInfo
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- CN109409708A CN109409708A CN201811189435.XA CN201811189435A CN109409708A CN 109409708 A CN109409708 A CN 109409708A CN 201811189435 A CN201811189435 A CN 201811189435A CN 109409708 A CN109409708 A CN 109409708A
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Abstract
The present invention relates to a kind of, and the traffic lights based on big data protect power supply prioritizing algorithm, the algorithm includes the following steps, the first step, traffic trip, which is obtained, from traffic control department captures data and road basic data, second step, data are cleaned and are pre-processed, third step, the demand field that the traffic control department obtains data mainly includes capturing place, bayonet title, capture the time, number of track-lines, link length, form road traffic state tables of data, and summarize the magnitude of traffic flow number and road car quantity bearing capacity at the specific crossing of specific time out from above data, 4th step, Modeling Calculation, which is carried out, according to magnitude of traffic flow number and the two indexs of road car quantity bearing capacity obtains corresponding each section load factor, guarantor's power supply priority in the section is examined with section load factor, such as section, load factor is higher, indicates to protect power supply Priority is higher.
Description
Technical field
It is especially a kind of that grading is carried out to supply guarantor to traffic lights using big data the present invention relates to big data field
Electricity carries out the computational algorithm of priority ordering.
Background technique
With the improvement of people's living standards, the automobile volume of holding is also stepping up per capita, and in supply side, how to guarantee
Continued power to traffic lights is then a more crucial core missions, because once there is large-scale traffic lights power-off,
Traffic paralysis and a series of traffic accidents, strong influence living trip or even life security are inherently generated, so, how
The grading of big data science is carried out to the traffic lights in section under emergency case and on existence conditions, to some emphasis crossings
Traffic lights are powered then first into a technical problem urgently to be solved.
Summary of the invention
The present invention provides a kind of traffic trip method for predicting to solve the deficiency of above-mentioned technology.
In order to solve the above-mentioned technical problem, the algorithm includes the following steps, the first step, obtains traffic from traffic control department and goes out
Row captures data and road basic data, second step clean data and pre-processed, and third step, the traffic control department obtains
The demand field for evidence of fetching mainly includes capturing place, bayonet title, capturing time, number of track-lines, link length, forms road and hands over
Lead to status data table, and summarizes the magnitude of traffic flow number and road car quantity at the specific crossing of specific time out from above data
Bearing capacity, the 4th step carry out Modeling Calculation according to magnitude of traffic flow number and the two indexs of road car quantity bearing capacity and obtain
Corresponding each section load factor examines guarantor's power supply priority in the section with section load factor, as section load factor is higher
Then indicate that guarantor's power supply priority is higher.
After the above method, the traffic lights for analyzing a road are protected power supply priority and are mainly entered in terms of two
Hand, first is that the magnitude of traffic flow number at the crossing, illustrates that the crossing needs current vehicle if the magnitude of traffic flow number at the crossing is bigger
Quantity it is more, to more to ensure the power supply normality of its traffic lights, otherwise once there is power failure phenomenon, big flow
Automobile only can not be accurately applicable in magnitude of traffic flow number another again by that can easily lead to traffic jam and traffic accident
A kind of situation, although shorter, the less feelings in lane that is, at a distance from the magnitude of traffic flow less its traffic lights are between traffic lights
Under condition, also it is easy to appear traffic jams at this time, so, this concept of road car quantity bearing capacity is introduced, and by traffic
The concept similar to section load factor can be obtained divided by road car quantity bearing capacity in flow number, to be commented with load factor
Whether valence preferentially powers.Such mode is that more science is also a kind of relatively reasonable sort algorithm.
As a further improvement of the present invention, for the modeling pattern of magnitude of traffic flow number and road car quantity bearing capacity
In mainly include following parameter, the N of the magnitude of traffic flow number for indicating the d days t moments in the crossing iidt, for indicating the crossing i d days
The N of magnitude of traffic flow numberid, the N of the average daily magnitude of traffic flow number for indicating the crossing ii, for indicating the day traffic trip stream at the crossing i
Measure the W of weighti, the L of the length for indicating kth road relevant to the crossing iik, for indicating kth relevant to the crossing i road
Number of track-lines Mik；For indicating the road car quantity bearing capacity T of the crossing i k roadik；For indicating the road i crossroads traffic light k
The P of road bearing capacity weightik, for indicating the po of traffic load ratei。
After the above method, by the data conversion obtained from traffic control department at above-mentioned parameter, it can be handed in order to calculate
Logical load factor.
As a further improvement of the present invention,Traffic on the one is counted for indicating in seconds
Flow number, it is describedIt is describedFor indicating the total wagon flow of vehicle flowrate number Zhan at this crossing
The weight ratio of number is measured, it is describedIt is describedBy the day traffic trip flow weight at the crossing i
WiWith the P of i crossroads traffic light related roads bearing capacity weightiIt is divided by, evaluation and optimization grade that you can get it
After the above method, parameters are calculated separately into out day traffic trip flow weight and red using algorithm
Green light related roads bearing capacity weight, then two weights are divided by, then obtain evaluation and optimization grade poiValue, the value indicate if
A possibility that its flow is bigger in one road, and traffic carrying is lower, and there is a situation where traffic jams will be higher, priority
It will increase accordingly.
As a further improvement of the present invention, the data cleansing and pretreated rule include rule one, any data
Missing is defined as shortage of data, rule two, and apparent common-sense mistake occurs in business datum, that is, is defined as data inaccuracy,
Rule three, each field any data format it is lack of standardization i.e. be defined as it is lack of standardization.
After the above method, data cleansing can evade certain invalid data, reduce last supplemental characteristic and miss
Difference.
Specific embodiment
The algorithm includes the following steps that the first step obtains traffic trip from traffic control department and captures data and road basis
Data, and grid topology data is obtained from electric system, second step cleans data and is pre-processed, third step, according to
Data, which are extracted corresponding impact factor and established traffic lights based on impact factor, protects power supply priority ordering model, the traffic control
The demand field that department obtains data mainly includes capturing place, bayonet title, capturing time, number of track-lines, link length, is formed
Road traffic state tables of data, and summarize from above data the magnitude of traffic flow number and road vapour at the specific crossing of specific time out
Vehicle quantity bearing capacity, the 4th step carry out modeling meter according to magnitude of traffic flow number and road car quantity bearing capacity the two indexs
Calculation obtains corresponding each section load factor, guarantor's power supply priority in the section is examined with section load factor, as section loads
The rate the high, indicates that guarantor's power supply priority is higher.The traffic lights for analyzing a road protect power supply priority mainly in terms of two
Start with, first is that the magnitude of traffic flow number at the crossing, illustrates that the crossing needs passage if the magnitude of traffic flow number at the crossing is bigger
The quantity of vehicle is more, so that the power supply normality of its traffic lights is more ensured, otherwise once there is power failure phenomenon, big flow
Automobile by the way that traffic jam and traffic accident can be easily lead to, but only can not be accurately applicable in again with magnitude of traffic flow number
Another situation, although that is, shorter at a distance from the magnitude of traffic flow less its traffic lights are between traffic lights, lane is less
In the case of, also it is easy to appear traffic jams at this time, so, this concept of road car quantity bearing capacity is introduced, and will hand over
The concept similar to section load factor can be obtained divided by road car quantity bearing capacity in through-current capacity number, to be come with load factor
It evaluates whether preferentially to power.Such mode is that more science is also a kind of relatively reasonable sort algorithm.
For including mainly following parameter in the modeling pattern of magnitude of traffic flow number and road car quantity bearing capacity, it is used for
Indicate the N of the magnitude of traffic flow number of the d days t moments in the crossing iidt, for indicating the N of the d days magnitude of traffic flow numbers in the crossing iid, for indicating i
The average daily magnitude of traffic flow number at crossingFor indicate the crossing i day traffic trip flow weight WiIndicate that the day at the crossing i hands over
Pass-out row flow weight, the L of the length for indicating kth road relevant to the crossing iik, for indicating relevant to the crossing i the
The M of the number of track-lines on the road kik；For indicating total bearing capacity T of all roads in the crossing ii；For indicating i crossroads traffic light related roads
The P of bearing capacity weighti, for indicating the po of traffic load ratei.It, can by the data conversion obtained from traffic control department at above-mentioned parameter
In order to calculate traffic load rate.It is describedThe magnitude of traffic flow on the one is counted for indicating in seconds
Number, it is describedIt is describedFor indicating the total vehicle flowrate number of vehicle flowrate number Zhan at this crossing
Weight ratio, it is describedIt is describedBy the crossing i day traffic trip flow weight WiWith
The P of i crossroads traffic light related roads bearing capacity weightiIt is divided by, evaluation and optimization grade that you can get itBy parameters benefit
Day traffic trip flow weight and traffic lights related roads bearing capacity weight are calculated separately out with algorithm, then by two weight phases
It removes, then obtains evaluation and optimization grade poiValue, which indicates if its flow is bigger in a road, traffic carrying it is lower, hair
A possibility that the case where raw traffic jam, will be higher, and priority will increase accordingly.
The data cleansing and pretreated rule include rule one, and any data missing is defined as shortage of data, advises
Then two, there is apparent common-sense mistake in business datum, that is, is defined as data inaccuracy, rule three, each field any data lattice
Formula it is lack of standardization i.e. be defined as it is lack of standardization.Data cleansing can evade certain invalid data, reduce last supplemental characteristic error.
Claims (4)
1. traffic lights based on big data protect power supply prioritizing algorithm, it is characterised in that: the algorithm includes the following steps,
The first step obtains traffic trip from traffic control department and captures data and road basic data, second step, carries out cleaning and pre- to data
Processing, third step, the traffic control department obtain data demand field mainly include capture place, bayonet title, capture the time,
Number of track-lines, link length form road traffic state tables of data, and summarize the specific crossing of specific time out from above data
Magnitude of traffic flow number and road car quantity bearing capacity, the 4th step, according to magnitude of traffic flow number and road car quantity bearing capacity
The two indexs carry out Modeling Calculation and obtain corresponding each section load factor, examine the guarantor in the section to supply with section load factor
Electric priority, such as section, load factor is higher, indicates that guarantor's power supply priority is higher.
2. the traffic lights according to claim 1 based on big data protect power supply prioritisation algorithm, it is characterised in that: for
It include mainly following parameter in the modeling pattern of magnitude of traffic flow number and road car quantity bearing capacity, for indicating the crossing i d days
The N of the magnitude of traffic flow number of t momentidt, for indicating the N of the d days magnitude of traffic flow numbers in the crossing iid, for indicating the average daily friendship at the crossing i
Through-current capacity numberFor indicate the crossing i day traffic trip flow weight Wi, for indicating kth relevant to the crossing i road
The L of the length on roadik, the M of the number of track-lines for indicating kth relevant to the crossing i roadik；For indicating the road of the crossing i k road
Automobile quantity bearing capacity Tik；For indicating the P of i crossroads traffic light k road bearing capacity weightik, for indicating traffic load rate
poi。
3. the traffic lights according to claim 2 based on big data protect power supply prioritisation algorithm, it is characterised in that: describedMagnitude of traffic flow number on the one is counted for indicating in seconds, it is describedIt is describedIt is described for indicating the weight ratio of the total vehicle flowrate number of vehicle flowrate number Zhan at this crossingIt is describedBy the crossing i day traffic trip flow weight WiWith i crossroads traffic light phase
Close the P of road bearing capacity weightiIt is divided by, evaluation and optimization grade that you can get it
4. the traffic lights according to claim 1 based on big data protect power supply prioritisation algorithm, it is characterised in that: described
Data cleansing and pretreated rule include rule one, and any data missing is defined as shortage of data, rule two, business datum
There is apparent common-sense mistake, that is, is defined as data inaccuracy, rule three, each field any data format is lack of standardization to be defined
It is lack of standardization.
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| CN201811189435.XA CN109409708A (en) | 2018-10-12 | 2018-10-12 | Traffic lights based on big data protect power supply prioritisation algorithm |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116704788A (en) * | 2023-05-25 | 2023-09-05 | 深圳市新创中天信息科技发展有限公司 | Vehicle-road cooperation method and system based on edge calculation |
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| CN202748942U (en) * | 2012-08-15 | 2013-02-20 | 广西瀚特信息产业股份有限公司 | Intersection signal timing control system capable of ensuring priority of bus |
| CN104616496A (en) * | 2015-01-30 | 2015-05-13 | 国家电网公司 | Catastrophe theory based power grid blackout traffic jam degree evaluation method |
| US9799218B1 (en) * | 2016-05-09 | 2017-10-24 | Robert Gordon | Prediction for lane guidance assist |
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| CN116704788A (en) * | 2023-05-25 | 2023-09-05 | 深圳市新创中天信息科技发展有限公司 | Vehicle-road cooperation method and system based on edge calculation |
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Application publication date: 20190301 |
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