CN107665583A - The computational methods of track saturation volume rate under the conditions of a kind of different weather - Google Patents
The computational methods of track saturation volume rate under the conditions of a kind of different weather Download PDFInfo
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- CN107665583A CN107665583A CN201711159974.4A CN201711159974A CN107665583A CN 107665583 A CN107665583 A CN 107665583A CN 201711159974 A CN201711159974 A CN 201711159974A CN 107665583 A CN107665583 A CN 107665583A
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- 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
- G08G1/0108—Measuring and analyzing of parameters relative to traffic conditions based on the source of data
- G08G1/0116—Measuring and analyzing of parameters relative to traffic conditions based on the source of data from roadside infrastructure, e.g. beacons
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- 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
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/07—Controlling traffic signals
- G08G1/08—Controlling traffic signals according to detected number or speed of vehicles
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Abstract
The computational methods of track saturation volume rate of the invention based on electronic police data provide a kind of efficient for the acquisition process of Intersections timing data, accurate method, good data are provided for Intersections timing designing to support, important function not only has been played to the efficiency for lifting intersection signal timing scheme, and for the effect of urban traffic control implementation, the operational efficiency for improving whole traffic system all has and is of great significance, suggest time headway in the track that the present invention calculates, an important factor for saturation volume rate determines the cycle as signal timing dial, to fine, rain, the weather conditions such as snow are treated with a certain discrimination, accurate data scaling is carried out to parameter according to substantial amounts of historical data, demarcation to the parameter has given full play to the effect of big data, data foundation is provided for accurate scene-type signal timing dial.
Description
Technical field
The present invention relates to a kind of calculating side of track saturation volume rate under the conditions of technical field of transportation, more particularly to different weather
Method.
Background technology
The signal time distributing conception of reasonable science can effectively improve the efficiency of operation of Traffic Systems and alleviate city and hand over
Logical congestion double-barreled question, formulation, traffic prediction scheme and the signal timing plan of the traffic management measure under the conditions of different weather, generally
All it is rule of thumb artificially to formulate and adjust, lacks the theoretical direction of science and the support of traffic flow theory so that traffic system
Easily cause to paralyse under special weather, therefore, to reduce the influence that exceedingly odious weather is run to Traffic Systems, formulate
Rational traffic administration and control strategy, it is necessary to grasp the traffic flow character parameter under the conditions of different weather, track saturation volume rate
It is exactly the basic data of traffic flow character parameter, and the saturation volume rate in same track also can be different under different weather, therefore, how
It is to obtain the key point of rational intersection signal timing scheme to obtain accurate intersection track saturation volume rate data.
The content of the invention
The present invention is intended to provide under the conditions of a kind of different weather track saturation volume rate computational methods.
To realize above-mentioned technical purpose, the present invention uses following technical scheme, track saturation under the conditions of a kind of different weather
The computational methods of flow rate, comprise the following steps：
S1, historical weather data, n days historical weather datas before inquiry day gas meter obtains are obtained, and weather history is carried out
Fine, rain, three classes of snow are classified as, wherein being sorted out by following configuration mode：1) it is fine：It is fine day, cloudy, cloudy；2) rain：Light rain, in
Rain, heavy rain；3) avenge：Slight snow, moderate snow, heavy snow；
S2, traversal history weather data get respectively fine, rain, snow three groups of data corresponding to the time, go to step S3 acquisition
Car data is crossed corresponding to all kinds of weather, if history corresponds to the weather time as sky, is handled without next step, calculates termination；
S3, tabled look-up respectively according to above-mentioned fine, rain, three class weather times of snow obtain fine, rain, three class weather conditions of snow descend electronics
Police's data storage crosses car data；
S4, by above-mentioned car data excessively, temporally stamp sorts in units of the ID of track, calculates the time headway in each track
Headway=t2-t1, i.e., the absolute value of adjacent two time differences for crossing car data, to obtain fine, rain, three class weather conditions of snow
Under time headway；
S5, the track ID that will be obtained in the track Back ground Information table of electronic police database, all mark for
Unvisited；
S6, take one in step S5 to mark the track ID for being, labeled as visited, and enter in next step
Suddenly；
S7, time headway data corresponding to the track ID for being will be marked to avenge packet by weather weather in step S6,
Time headway data after above-mentioned packet are provided with three groups, the time headway data (x under three groups of items1, x2..., xn) mark,
(x1, x2..., xn) refer to respectively in the time headway data under conditions of weather weather snow in first n days in step S1 of the track,
By step S4 timestamp ordering, and (the x under the conditions of weather weather snow is calculated accordingly1, x2..., xn) respective average value M and
Variance S2, standard deviation S：
S8, the result of calculation according to step S7, if M>2, and S >=0.5, then take max [(xn-M)2], reject xn, go to
Step S7 continues to calculate, if M >=2, and S<0.5, then S9 is gone to step, if M<2, then do not handle, calculate termination；
M >=2 in S9, step S8, and S<0.5, then that obtain herein is optimal M namely when suggesting headstock after iteration
Away from, calculate accordingly calculate track saturation volume rate Si=3600/M.
S10, after having calculated according to step S9 step S7 labeled as the saturation volume rate in visited track, go to step S6 after
It is continuous to choose a track ID labeled as visited and calculate its saturation volume rate until all track ID be labeled as visited, and by
Corresponding data is stored in corresponding database, is hereafter transferred to step S11 termination calculation process；
S11, calculate termination.
Preferably, the data in step S10 are preserved according to following form：
Title：Track ID, code：LANE_ID, data type：VARCHAR2(60)；
Title：Track direction, code：DERECTION, data type：VARCHAR2(9)；
Title：Timestamp, code：TIMESTAMP, data type：NUMBER(13)；
Title：It is recommended that time headway, code：BEST_HEADWAY, data type：NUMBER (5,2)；
Title：Headstock saturation volume rate, code：SA_VOLUMN, data type：NUMBER(5)；
Title：Weather code, code：WEATHER_CODE, data type：VARCHAR2(3)；
Title：Method to set up, code：SET_WAY, data type：VARCHAR2(3).
Preferably, the remark information of track direction is：1 is right, it is 2 left, 3 straight, 4 fall.
Preferably, the remark information of weather code is：0 is fine, 1 rain, 3 snow.
Preferably, the remark information of method to set up is：0 artificial setting, 1 system recommendation.
The computational methods of track saturation volume rate of the invention based on electronic police data are Intersections timing data
Acquisition process provide a kind of efficient, accurate method, good data branch is provided for Intersections timing designing
Hold, important function has not only been played to the efficiency for lifting intersection signal timing scheme, and implement for urban traffic control
Effect, the operational efficiency for improving whole traffic system all have and are of great significance, and headstock is suggested in the track that the present invention calculates
When an important factor for determining the cycle as signal timing dial away from, saturation volume rate, the weather conditions such as fine, rain, snow are treated with a certain discrimination,
Accurate data scaling is carried out to parameter according to substantial amounts of historical data, the demarcation to the parameter has given full play to the work of big data
With providing data foundation for accurate scene-type signal timing dial.
Brief description of the drawings
Fig. 1 is the flow chart of the present invention.
Embodiment
Embodiments of the invention are described below in detail, the example of the embodiment is shown in the drawings, wherein from beginning to end
Same or similar label represents same or similar element or the element with same or like function.Below with reference to attached
The embodiment of figure description is exemplary, is only used for explaining the present invention, and is not considered as limiting the invention.
In the description of the invention, unless otherwise prescribed with limit, it is necessary to explanation, term " installation ", " connected ",
" connection " should be interpreted broadly, for example, it may be mechanical connection or electrical connection or the connection of two element internals, can
To be to be joined directly together, can also be indirectly connected by intermediary.For the ordinary skill in the art, can basis
Concrete condition understands the concrete meaning of above-mentioned term.
Referring to the calculating of track saturation volume rate under the conditions of a kind of Fig. 1 descriptions different weather according to embodiments of the present invention
Method, comprise the following steps：
S1, historical weather data, n days historical weather datas before inquiry day gas meter obtains are obtained, and weather history is carried out
Fine, rain, three classes of snow are classified as, wherein being sorted out by following configuration mode：1) it is fine：It is fine day, cloudy, cloudy；2) rain：Light rain, in
Rain, heavy rain；3) avenge：Slight snow, moderate snow, heavy snow；
S2, traversal history weather data get respectively fine, rain, snow three groups of data corresponding to the time, go to step S3 acquisition
Car data is crossed corresponding to all kinds of weather, if history corresponds to the weather time as sky, is handled without next step, calculates termination；
S3, tabled look-up respectively according to above-mentioned fine, rain, three class weather times of snow obtain fine, rain, three class weather conditions of snow descend electronics
Police's data storage crosses car data；
S4, by above-mentioned car data excessively, temporally stamp sorts in units of the ID of track, calculates the time headway in each track
Headway=t2-t1, i.e., the absolute value of adjacent two time differences for crossing car data, to obtain fine, rain, three class weather conditions of snow
Under time headway；
S5, the track ID that will be obtained in the track Back ground Information table of electronic police database, all mark for
Unvisited；
S6, take one in step S5 to mark the track ID for being, labeled as visited, and enter in next step
Suddenly；
S7, time headway data corresponding to the track ID for being will be marked to avenge packet by weather weather in step S6,
Time headway data after above-mentioned packet are provided with three groups, the time headway data (x under three groups of items1, x2..., xn) mark,
(x1, x2..., xn) refer to respectively in the time headway data under conditions of weather weather snow in first n days in step S1 of the track,
By step S4 timestamp ordering, and (the x under the conditions of weather weather snow is calculated accordingly1, x2..., xn) respective average value M and
Variance S2, standard deviation S：
S8, the result of calculation according to step S7, if M>2, and S >=0.5, then take max [(xn-M)2], reject xn, go to
Step S7 continues to calculate, if M >=2, and S<0.5, then S9 is gone to step, if M<2, then do not handle, calculate termination；
M >=2 in S9, step S8, and S<0.5, then that obtain herein is optimal M namely when suggesting headstock after iteration
Away from, calculate accordingly calculate track saturation volume rate Si=3600/M.
S10, after having calculated according to step S9 step S7 labeled as the saturation volume rate in visited track, go to step S6 after
It is continuous to choose a track ID labeled as visited and calculate its saturation volume rate until all track ID be labeled as visited, and by
Corresponding data is stored in corresponding database, is hereafter transferred to step S11 termination calculation process；
S11, calculate termination.
Preferably, the data in step S10 are preserved according to following form：
Title：Track ID, code：LANE_ID, data type：VARCHAR2(60)；
Title：Track direction, code：DERECTION, data type：VARCHAR2(9)；
Title：Timestamp, code：TIMESTAMP, data type：NUMBER(13)；
Title：It is recommended that time headway, code：BEST_HEADWAY, data type：NUMBER (5,2)；
Title：Headstock saturation volume rate, code：SA_VOLUMN, data type：NUMBER(5)；
Title：Weather code, code：WEATHER_CODE, data type：VARCHAR2(3)；
Title：Method to set up, code：SET_WAY, data type：VARCHAR2(3).
Preferably, the remark information of track direction is：1 is right, it is 2 left, 3 straight, 4 fall.
Preferably, the remark information of weather code is：0 is fine, 1 rain, 3 snow.
Preferably, the remark information of method to set up is：0 artificial setting, 1 system recommendation.
The computational methods of track saturation volume rate of the invention based on electronic police data are Intersections timing data
Acquisition process provide a kind of efficient, accurate method, good data branch is provided for Intersections timing designing
Hold, important function has not only been played to the efficiency for lifting intersection signal timing scheme, and implement for urban traffic control
Effect, the operational efficiency for improving whole traffic system all have and are of great significance, and headstock is suggested in the track that the present invention calculates
When an important factor for determining the cycle as signal timing dial away from, saturation volume rate, the weather conditions such as fine, rain, snow are treated with a certain discrimination,
Accurate data scaling is carried out to parameter according to substantial amounts of historical data, the demarcation to the parameter has given full play to the work of big data
With providing data foundation for accurate scene-type signal timing dial.
In the description of this specification, the description meaning of reference term " one embodiment ", " example " or " some examples " etc.
Refer at least one reality that the present invention is contained in reference to specific features, structure, material or the feature that the embodiment or example describe
Apply in example or example.In this manual, identical embodiment is not necessarily referring to the schematic representation of above-mentioned term or shown
Example.Moreover, specific features, structure, material or the feature of description can be in any one or more embodiments or example
Combine in an appropriate manner.
Although an embodiment of the present invention has been shown and described, it will be understood by those skilled in the art that：Not
In the case of departing from the principle and objective of the present invention a variety of change, modification, replacement and modification can be carried out to these embodiments, this
The scope of invention is limited by claim and its equivalent.
Claims (5)
1. the computational methods of track saturation volume rate under the conditions of a kind of different weather, it is characterised in that comprise the following steps：
S1, historical weather data, n days historical weather datas before inquiry day gas meter obtains are obtained, and weather history is classified as
Fine, rain, three classes of snow, wherein being sorted out by following configuration mode：1) it is fine：It is fine day, cloudy, cloudy；2) rain：It is light rain, moderate rain, big
Rain；3) avenge：Slight snow, moderate snow, heavy snow；
S2, traversal history weather data get respectively fine, rain, snow three groups of data corresponding to the time, go to step S3 obtain it is all kinds of
Car data is crossed corresponding to weather, if history corresponds to the weather time as sky, is handled without next step, calculates termination；
S3, tabled look-up respectively according to above-mentioned fine, rain, three class weather times of snow obtain fine, rain, three class weather conditions of snow descend electronic police
Data storage crosses car data；
S4, by above-mentioned car data excessively, temporally stamp sorts in units of the ID of track, calculates the time headway Headway=in each track
T2-t1, i.e., it is adjacent two cross car data time difference absolute value, with obtain fine, rain, snow three class weather conditions under headstock when
Away from；
S5, the track ID that will be obtained in the track Back ground Information table of electronic police database, whole marks are；
S6, take one in step S5 to mark the track ID for being, labeled as visited, and enter next step；
S7, time headway data corresponding to the track ID for being will be marked to avenge packet by weather weather in step S6, it is above-mentioned
Time headway data after packet are provided with three groups, the time headway data (x under three groups of items1, x2..., xn) mark, (x1,
x2..., xn) refer to respectively in the time headway data under conditions of weather weather snow in first n days in step S1 of the track, by step
Rapid S4 timestamp ordering, and (the x under the conditions of weather weather snow is calculated accordingly1, x2..., xn) respective average value M and variance
S2, standard deviation S：
<mrow>
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S8, the result of calculation according to step S7, if M>2, and S >=0.5, then take max [(xn-M)2], reject xn, go to step
S7 continues to calculate, if M >=2, and S<0.5, then S9 is gone to step, if M<2, then do not handle, calculate termination；
M >=2 in S9, step S8, and S<0.5, then what is obtained herein is optimal M namely to suggest time headway after iteration,
The saturation volume rate S for calculating track is calculated accordinglyi=3600/M.
S10, after having calculated step S7 labeled as the saturation volume rate in visited track according to step S9, go to step S6 and continue to select
A track ID is taken labeled as visited and calculates its saturation volume rate until all track ID are labeled as visited, and incite somebody to action corresponding
Data are stored in corresponding database, are hereafter transferred to step S11 termination calculation process；
S11, calculate termination.
2. computational methods according to claim 1, it is characterised in that the data in step S10 are carried out according to following form
Preserve：
Title：Track ID, code：LANE_ID, data type：VARCHAR2(60)；
Title：Track direction, code：DERECTION, data type：VARCHAR2(9)；
Title：Timestamp, code：TIMESTAMP, data type：NUMBER(13)；
Title：It is recommended that time headway, code：BEST_HEADWAY, data type：NUMBER (5,2)；
Title：Headstock saturation volume rate, code：SA_VOLUMN, data type：NUMBER(5)；
Title：Weather code, code：WEATHER_CODE, data type：VARCHAR2(3)；
Title：Method to set up, code：SET_WAY, data type：VARCHAR2(3).
3. computational methods according to claim 2, it is characterised in that the remark information of track direction is：1 right side, 2 left sides, 3
Directly, 4 fall.
4. computational methods according to claim 2, it is characterised in that the remark information of weather code is：0 is fine, 1 rain, 3
Snow.
5. computational methods according to claim 2, it is characterised in that the remark information of method to set up is：0 artificial setting, 1
System recommendation.
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| Application Number | Priority Date | Filing Date | Title |
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| CN201711159974.4A CN107665583B (en) | 2017-11-20 | 2017-11-20 | Method for calculating lane saturation flow rate under different weather conditions |
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|---|---|---|---|
| CN201711159974.4A CN107665583B (en) | 2017-11-20 | 2017-11-20 | Method for calculating lane saturation flow rate under different weather conditions |
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| CN107665583B CN107665583B (en) | 2021-07-02 |
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Cited By (4)
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| CN109360419A (en) * | 2018-11-16 | 2019-02-19 | 浩鲸云计算科技股份有限公司 | A kind of calculation method of link flow alarm |
| CN112037508A (en) * | 2020-08-13 | 2020-12-04 | 山东理工大学 | Intersection signal timing optimization method based on dynamic saturation flow rate |
| CN112991787A (en) * | 2021-04-15 | 2021-06-18 | 吉林大学 | Method and system for optimizing traffic signals at intersection in ice and snow weather |
| CN113643531A (en) * | 2021-07-20 | 2021-11-12 | 东北大学 | Intersection lane saturation flow rate calculation method based on small time zone division statistics |
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Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109360419A (en) * | 2018-11-16 | 2019-02-19 | 浩鲸云计算科技股份有限公司 | A kind of calculation method of link flow alarm |
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| CN112037508B (en) * | 2020-08-13 | 2022-06-17 | 山东理工大学 | Intersection signal timing optimization method based on dynamic saturation flow rate |
| CN112991787A (en) * | 2021-04-15 | 2021-06-18 | 吉林大学 | Method and system for optimizing traffic signals at intersection in ice and snow weather |
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| CN113643531B (en) * | 2021-07-20 | 2022-09-20 | 东北大学 | Intersection lane saturation flow rate calculation method based on small time zone division statistics |
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| CN107665583B (en) | 2021-07-02 |
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