CN106910336A - Method for obtaining the time headway coefficient of stability - Google Patents
Method for obtaining the time headway coefficient of stability Download PDFInfo
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- CN106910336A CN106910336A CN201610955291.9A CN201610955291A CN106910336A CN 106910336 A CN106910336 A CN 106910336A CN 201610955291 A CN201610955291 A CN 201610955291A CN 106910336 A CN106910336 A CN 106910336A
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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
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Abstract
The present invention provides a kind of method for obtaining the time headway coefficient of stability, including:Public transport is arrived at a station location information data in real time in obtaining the analysis period;Data are grouped according to circuit ID with traffic direction;Treatment is ranked up according to the time of departure and arrival time respectively, plan time headway and actual time headway is calculated;Deviation is calculated according to the time headway being calculated;Standard deviation is calculated according to deviation;The time headway coefficient of stability is obtained according to standard deviation and plan time headway;Finally, the calculating and the calculating of the time headway coefficient of stability of above-mentioned sequence treatment, deviation and standard deviation are repeated, is finished until the time headway coefficient of stability in all of group is calculated.The method of the present invention can efficiently, quickly and accurately obtain the time headway coefficient of stability, so that for the planning and decision-making of wisdom traffic provide strong support.
Description
Technical field
The present invention relates to planning and the decision-making technic field of directing traffic, in particular to one kind for obtaining time headway
The method of stability.
Background technology
Mixed traffic is the essential characteristic of urban transportation.Under mixed traffic environment, motor vehicle, non-motor vehicle and pedestrian's
Characteristic is different, causes road equipment utilization rate and traffic circulation Quality Down, is that urban traffic management brings huge with control
Big challenge.In the operation of public transport field, especially city bus, although having been tried to method to improve operation
Efficiency, predictability etc., alleviate traffic pressure, but subjective driving behavior due to driver, road load carried ability and each
The factors such as kind of emergency situations so that traffic congestion or mixed traffic cause the bus can not to arrive at a station on schedule.
Bus time headway is a key parameter in the analysis of urban microscopic public transport, directly reflects driver and drives
Sail behavioral trait, intersection capacity and service level.The time headway stability of bus, for whether evaluating vehicle
Time headway according to schedule uniformly reaches each website, and in the running of real bus, one is deposited in often
Rise and reach certain website, or wait as long for the situation for still loseing and thering is bus to reach, this is that time headway stability is poor
How performance, carry out the determination of stability and evaluate, and is the major issue for carrying out next step traffic unified planning and decision-making.
The content of the invention
Present invention aim at a kind of method for obtaining the time headway coefficient of stability is provided, to evaluate public transit vehicle
The property on schedule of website is reached, including:
Public transport is arrived at a station location information data in real time in obtaining the analysis period;
Data are grouped according to circuit ID with traffic direction;
Treatment is ranked up according to the time of departure and arrival time respectively, when calculating plan time headway and actual headstock
Away from;
Deviation is calculated according to the time headway being calculated;
Standard deviation is calculated according to deviation;
The time headway coefficient of stability is obtained according to standard deviation and plan time headway;
Finally, the calculating and the calculating of the time headway coefficient of stability of above-mentioned sequence treatment, deviation and standard deviation are repeated, directly
The time headway coefficient of stability in all of group is calculated and finished.
In further embodiment, data are grouped according to circuit ID with traffic direction in preceding method, including:Will
Public bus network ID is identical and traffic direction identical data are divided into one group, and note group name is Cp, wherein, p is marked for public bus network ID.
In further embodiment, treatment is ranked up according to the time of departure and arrival time respectively, calculates plan headstock
When away from actual time headway, including:
It is unvisited by above-mentioned all points of good group echos, takes one of unvisited groups CkIt is marked as
visited;
Then, to a group CkInterior all data carry out lower column processing:
1) extract the time of departure, and temporally incremental order sequence, between the time of departure of the two neighboring bus of calculating
Time difference, be designated as plan time headway h0;If h0The > 60min coefficients of stability are meaningless, export the coefficient of stability=- 1, below surely
Determine coefficient and actual time headway is no longer calculated, otherwise improve step 2);
2) extract each CFS to CFS time, and temporally incremental order sequence, calculate two neighboring bus arrival time it
Between time difference, be designated as actual time headway:
hi=STATION_NAMEi-STATION_NAMEi-1
Wherein, STATION_NAMEiAnd STATION_NAMEi-1The arrival time of respectively two neighboring bus.
In further embodiment, calculate deviation and use following formula:
Wherein,Represent deviation.
And according to this mode, by every group, the deviation between every two buses is calculated and finished.
In further embodiment, calculate standard deviation and use following formula:
Calculate standard deviation
Wherein, σ represents standard deviation.
In further embodiment, the calculation for calculating coefficient of stability θ is as follows:
And according to coefficient of stability output correspondence public bus network ID, the coefficient of stability and update time and bearing mark.
As long as it should be appreciated that all combinations of aforementioned concepts and the extra design for describing in greater detail below are at this
A part for the subject matter of the disclosure is can be viewed as in the case that the design of sample is not conflicting.In addition, required guarantor
All combinations of the theme of shield are considered as a part for the subject matter of the disclosure.
Can be more fully appreciated with from the following description with reference to accompanying drawing present invention teach that foregoing and other aspect, reality
Apply example and feature.The feature and/or beneficial effect of other additional aspects such as illustrative embodiments of the invention will be below
Description in it is obvious, or by according to present invention teach that specific embodiment practice in learn.
Brief description of the drawings
Accompanying drawing is not intended to drawn to scale.In the accompanying drawings, identical or approximately uniform group of each for showing in each figure
Can be indicated by the same numeral into part.For clarity, in each figure, not each part is labeled.
Now, by example and the embodiment of various aspects of the invention will be described in reference to the drawings, wherein:
Fig. 1 is the flow chart of the method for obtaining the time headway coefficient of stability according to certain embodiments of the invention.
Fig. 2 is that the data message of bus and bus platform represents intention.
Fig. 3 is that bus arrives at a station positional information schematic diagram in real time.
Specific embodiment
In order to know more about technology contents of the invention, especially exemplified by specific embodiment and institute's accompanying drawings are coordinated to be described as follows.
Each side with reference to the accompanying drawings to describe the present invention in the disclosure, shown in the drawings of the embodiment of many explanations.
Embodiment of the disclosure must not be intended to include all aspects of the invention.It should be appreciated that various designs presented hereinbefore and reality
Apply example, and those designs for describing in more detail below and implementation method can in many ways in any one come real
Apply, because design disclosed in this invention and embodiment are not limited to any implementation method.In addition, disclosed by the invention one
A little aspects can be used alone, or otherwise any appropriately combined be used with disclosed by the invention.
With reference to shown in Fig. 1, embodiments in accordance with the present invention propose a kind of side for obtaining the time headway coefficient of stability
Method, including:
Public transport is arrived at a station location information data in real time in obtaining the analysis period;
Data are grouped according to circuit ID with traffic direction;
Treatment is ranked up according to the time of departure and arrival time respectively, when calculating plan time headway and actual headstock
Away from;
Deviation is calculated according to the time headway being calculated;
Standard deviation is calculated according to deviation;
The time headway coefficient of stability is obtained according to standard deviation and plan time headway;
Finally, the calculating and the calculating of the time headway coefficient of stability of above-mentioned sequence treatment, deviation and standard deviation are repeated, directly
Marked to all of group and be, i.e., the time headway coefficient of stability is calculated and completed, and obtains all of time headway stability series
Number.
The time headway coefficient of stability can efficiently, quickly and accurately be obtained by the above method, so as to be the planning of wisdom traffic
Strong support is provided with decision-making.
In further embodiment, data are grouped according to circuit ID with traffic direction in preceding method, including:Will
Public bus network ID is identical and traffic direction identical data are divided into one group, and note group name is Cp, wherein, p is marked for public bus network ID.
In further embodiment, treatment is ranked up according to the time of departure and arrival time respectively, calculates plan headstock
When away from actual time headway, including:
It is unvisited by above-mentioned all points of good group echos, takes one of unvisited groups CkIt is marked as
visited;
Then, to a group CkInterior all data carry out lower column processing:
1) extract the time of departure, and temporally incremental order sequence, between the time of departure of the two neighboring bus of calculating
Time difference, be designated as plan time headway h0;If h0> 60min, the coefficient of stability is meaningless, exports the coefficient of stability=- 1, below surely
Determine coefficient and actual time headway is no longer calculated, otherwise improve step 2);
2) extract each CFS to CFS time, and temporally incremental order sequence, calculate two neighboring bus arrival time it
Between time difference, be designated as actual time headway:
hi=STATION_NAMEi-STATION_NAMEi-1
Wherein, STATION_NAMEiAnd STATION_NAMEi-1The arrival time of respectively two neighboring bus.
In further embodiment, calculate deviation and use following formula:
Wherein,Represent deviation.
And according to this mode, by every group, the deviation between every two buses is calculated and finished.
In further embodiment, calculate standard deviation and use following formula:
Calculate standard deviation
Wherein, σ represents standard deviation.
In further embodiment, the calculation for calculating coefficient of stability θ is as follows:
And according to coefficient of stability output correspondence public bus network ID, the coefficient of stability and update time and bearing mark.
With reference to the signal of Fig. 1 and Fig. 2 and Fig. 3, according to the exemplary realization for being specifically described preceding method.
Assuming that:
Analysis period start time:00:00:00,01:00:00,02:00:00 ... ...
Analysis end time period:00:59:59,01:59:59,02:59:59 ... ...
Step1 from table TS_BUS_REACH_STATION obtain the analysis period in public transport arrive at a station in real time positional information;
According to circuit ID be grouped data with traffic direction by Step2, i.e. circuit ID is identical and traffic direction identical
Data are divided into one group, and note group name is Cp(p is marked for public bus network ID);
Above-mentioned all group echos are unvisited by Step3, take one of unvisited groups CkIt is marked as
visited;
Step4 is to a group CkInterior all data carry out lower column processing:
Step4.1 is extracted the time of departure, and temporally incremental order sequence, calculate between two neighboring time of departure when
Between it is poor, be designated as plan time headway h0;If h0The > 60min coefficients of stability are meaningless, export the coefficient of stability=- 1, and following step is not
Calculated.
Step4.2 is extracted each CFS to CFS time, and temporally incremental order sequence, between the two neighboring arrival time of calculating
Time difference, be designated as actual time headway:
hi=STATION_NAMEi-STATION_NAMEi-1
Step5 calculates deviationTurn Step4, by this group, the deviation between every two cars is calculated and finished, and is entered
Row Step6;
Step6 calculates standard deviation
Step7 calculates the coefficient of stabilityAnd output data is as follows:
Public bus network ID | BUS_ROUTE_ID | NUMBER(9) |
The coefficient of stability | STABILITY_RATIO | FLOAT |
The renewal time | UPDATE_TIME | LONG(13) |
Bearing mark | ORI_FLAG | STRING |
Finally, Step3~Step7 is repeated, v i s ited is collectively labeled as until all groups, terminate this calculating.
Coefficient of stability storage location:Mongdb circuit time headway stability AY_BUS_LINE_STABILITY_RATIO.
Update once daily.
Service level | The coefficient of stability of time headway | Remarks |
A | 0.00~0.21 | Punctual service is provided |
B | 0.22~0.30 | The time headway of the slight deviation plan of vehicle |
C | 0.31~0.39 | Vehicle is typically off the time headway of plan |
D | 0.40~0.52 | Irregular time headway, there is the poly- string phenomenon of vehicle |
E | 0.53~0.74 | The poly- string of vehicle for frequently occurring |
F | >=0.75 | The poly- string of most of vehicles |
-1 | There is no practical significance |
Although the present invention is disclosed above with preferred embodiment, so it is not limited to the present invention.Skill belonging to of the invention
Has usually intellectual in art field, without departing from the spirit and scope of the present invention, when can be used for a variety of modifications and variations.Cause
This, protection scope of the present invention ought be defined depending on those as defined in claim.
Claims (6)
1. a kind of method for obtaining the time headway coefficient of stability, it is characterised in that including:
Public transport is arrived at a station location information data in real time in obtaining the analysis period;
Data are grouped according to circuit ID with traffic direction;
Treatment is ranked up according to the time of departure and arrival time respectively, plan time headway and actual time headway is calculated;
Deviation is calculated according to the time headway being calculated;
Standard deviation is calculated according to deviation;
The time headway coefficient of stability is obtained according to standard deviation and plan time headway;
Finally, the calculating and the calculating of the time headway coefficient of stability of above-mentioned sequence treatment, deviation and standard deviation, Zhi Daosuo are repeated
The time headway coefficient of stability in some group is calculated and finished.
2. the method for obtaining the time headway coefficient of stability according to claim 1, it is characterised in that foregoing by number
It is grouped with traffic direction according to according to circuit ID, including:It is public bus network ID is identical and traffic direction identical data are divided into
One group, note group name is Cp, wherein, p is marked for public bus network ID.
3. the method for obtaining the time headway coefficient of stability according to claim 2, it is characterised in that during according to dispatching a car
Between and arrival time be ranked up treatment respectively, calculate plan time headway and actual time headway, including:
It is unvisited by above-mentioned all points of good group echos, takes one of unvisited groups CkIt is marked as
visited;
Then, to a group CkInterior all data carry out lower column processing:
1) extract the time of departure, and temporally incremental order sequence, calculate between the time of departure of two neighboring bus when
Between it is poor, be designated as plan time headway h0;If h0> 60min, the coefficient of stability is meaningless, exports the coefficient of stability=- 1, following stability series
Number and actual time headway are no longer calculated, and otherwise carry out step 2);
2) extract each CFS to CFS time, and temporally incremental order sequence, between the two neighboring bus arrival time of calculating
Time difference, it is designated as actual time headway:
hi=STATION_NAMEi-STATION_NAMEi-1
Wherein, STATION_NAMEiAnd STATION_NAMEi-1The arrival time of respectively two neighboring bus.
4. the method for obtaining the time headway coefficient of stability according to claim 3, it is characterised in that calculate deviation and adopt
Use following formula:
Wherein,Represent deviation;
And according to this calculation, by every group, the deviation between every two buses is calculated and finished.
5. the method for obtaining the time headway coefficient of stability according to claim 4, it is characterised in that calculate standard deviation
Using following formula:
Calculate standard deviation
Wherein, σ represents standard deviation.
6. the method for obtaining the time headway coefficient of stability according to claim 1, it is characterised in that calculate stability series
The calculation of number θ is as follows:
And according to coefficient of stability output correspondence public bus network ID, the coefficient of stability and update time and bearing mark.
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CN113936453A (en) * | 2021-09-09 | 2022-01-14 | 上海宝康电子控制工程有限公司 | Information identification method and system based on headway |
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CN107331170A (en) * | 2017-09-01 | 2017-11-07 | 山东创飞客交通科技有限公司 | The intersection signal timing evaluation method and system of time is lost based on green light |
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CN109461304A (en) * | 2018-11-16 | 2019-03-12 | 浩鲸云计算科技股份有限公司 | A kind of analysis method of public bus network website property on schedule |
CN112365706A (en) * | 2020-09-14 | 2021-02-12 | 江苏大学 | Abnormal vehicle distance identification method based on multi-source information |
CN112365706B (en) * | 2020-09-14 | 2021-11-23 | 江苏大学 | Abnormal vehicle distance identification method based on multi-source information |
CN113936453A (en) * | 2021-09-09 | 2022-01-14 | 上海宝康电子控制工程有限公司 | Information identification method and system based on headway |
CN115860804A (en) * | 2023-02-07 | 2023-03-28 | 西南交通大学 | Bus operation unreliability cost calculation method, device, equipment and medium |
CN115860804B (en) * | 2023-02-07 | 2023-05-26 | 西南交通大学 | Bus operation unreliable cost calculation method, device, equipment and medium |
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