CN108877244A - A kind of public transit vehicle intersection operation bottleneck method of discrimination based on dynamic data - Google Patents
A kind of public transit vehicle intersection operation bottleneck method of discrimination based on dynamic data Download PDFInfo
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Abstract
The invention discloses a kind of, and the public transit vehicle intersection based on dynamic data runs bottleneck method of discrimination.Method and step of the invention：S1, data prediction；S2, intersection range longitude and latitude data are obtained, the public transit vehicle operation data library within the scope of intersection is filtered out from public transit vehicle GPS data library；S3, speed is utilized --- time integral model estimation public transit vehicle calculates the intersection delay of each public transit vehicle in the actual travel time of intersection；S4, each intersection in counting statistics interval average public transit vehicle delay time at stop mean value；S5, intersection type is judged using the grade of road intersection；The cumulative frequency distribution situation of S6, all types of intersection mean delays of statistic of classification determine bottleneck degree discrimination threshold, and carry out Dynamic Recognition to all types of intersections operation bottleneck.The present invention can be improved the operational efficiency of public transit vehicle at the intersection, and universality is high.
Description
Technical field：
The present invention relates to a kind of, and the public transit vehicle intersection based on dynamic data runs bottleneck method of discrimination, belongs to intelligent public affairs
Friendship technology, public transport big data and city bus operational management field.
Background technique：
Intersection is the important component of road, is the high-incidence place that urban transportation delay generates.Public transit vehicle is flexible
Property is poor, at the intersection due to public vehicles influence, signal unreasonable allocation, driveway partition be scientific, public transport right of way obtains not
To reasons such as guarantees, often bigger than the delay of public vehicles, leading to bus passenger, the waiting time is too long at the intersection, influences
The overall operation efficiency of public transit vehicle.Therefore, it is necessary to which research public transit vehicle encounters in the process of running towards public transit system
Intersection bottleneck.Bottleneck by Dynamic Traffic Flow due to being influenced, and with space-time dynamic, and is based on intersection mostly at present
Static facilities influence and study bottleneck, traditional manual research means are also mostly used to the acquisition of intersection data, with this
The traffic analysis of progress manifests biggish limitation, cannot carry out dynamic to the time of intersection bottleneck generation, space, degree
Judgement, be unfavorable for the real-time and science of public transport management and decision.The development of intelligent public transportation system in recent years, especially
It is vehicle GPS alignment system, the time space position information of public transit vehicle can be recorded in real time, brings the public transit vehicle operation number of magnanimity
According to how carrying out accurately and efficiently analysis mining to these data, quickly, the accurate friendship screened in public transit vehicle operational process
Prong bottleneck is the key that solve public transit vehicle operation and problem of management.The invention proposes a kind of public affairs based on dynamic data
It hands over vehicle intersection to run bottleneck method of discrimination, makes full use of the real-time GPS data and urban road Information Number of public transit vehicle
According to, comprehensive analysis, the public transit vehicle operating status for holding each intersection in Traffic Systems, and Dynamic Recognition is appeared to public affairs
Time, the space of the intersection bottleneck appearance of vehicle operation are handed over, and judges bottleneck degree.This method facilitates traffic programme portion
Door, traffic management department, public traffic management department accurately hold public transit vehicle in the operating status of each intersection in city, pass through intersection
Design optimization, the management optimization reasonable disposition path resource of mouth, pass through the optimizing scheduling of public transit vehicle, operation optimization reasonable disposition
Public Resource improves the operational efficiency of public transit vehicle at the intersection so as to improve the intersection bottleneck of public transit vehicle.
Summary of the invention
The object of the present invention is to provide a kind of, and the public transit vehicle intersection based on dynamic data runs bottleneck method of discrimination, energy
The operational efficiency of public transit vehicle at the intersection is enough improved, universality is high, there is biggish promotion prospect.
Above-mentioned purpose is achieved through the following technical solutions：
A kind of public transit vehicle intersection operation bottleneck method of discrimination based on dynamic data, this method comprises the following steps：
S1, data prediction, including abnormal data differentiation, data cleansing, data fusion and intersection information supplement；
S2, intersection range longitude and latitude data are obtained, is filtered out within the scope of intersection from public transit vehicle GPS data library
Public transit vehicle operation data library；
S3, speed is utilized --- time integral model estimates actual travel time of the public transit vehicle in intersection, Jin Erji
Calculate the intersection delay of each public transit vehicle；
S4, each intersection in counting statistics interval average public transit vehicle delay time at stop mean value；
S5, intersection type is judged using the grade of road intersection；
The cumulative frequency distribution situation of S6, all types of intersection mean delays of statistic of classification determine that bottleneck degree differentiates threshold
Value, and Dynamic Recognition is carried out to all types of intersections operation bottleneck.
The public transit vehicle intersection based on dynamic data runs bottleneck method of discrimination, data described in step S1
Pretreatment specifically includes judgement and normal data there are the abnormal data object of deviation and is rejected, while by bus
GPS data, AVL data and urban road intersection information are matched and are merged, and supplementary explanation urban road intersection is
No there are traffic accidents, public transit vehicle failure, construction information, and real-time perfoming updates.
The public transit vehicle intersection based on dynamic data runs bottleneck method of discrimination, calculating described in step S3
The specific method of the intersection delay of each public transit vehicle is：
S31, judge that passenger flow corridor type is normal according to whether laying the bus zone with independent right of way on passenger flow corridor
Bus passenger flow corridor or bus rapid transit passenger flow corridor are advised, while the speed that passes unimpeded for defining regular public traffic passenger flow corridor is 35km/h,
Data, imparting peak 45km/h for instantaneous velocity greater than peak 45km/h；Define the smooth of bus rapid transit passenger flow corridor
Scanning frequency degree is 40km/h, and the data for instantaneous velocity greater than peak 60km/h assign peak 60km/h；
S32, intersection range longitude and latitude data are obtained, and filters out intersection range from public transit vehicle GPS data library
Interior public transit vehicle operation data library；
S33, each public transit vehicle is calculated in effective operating range l of intersection：
Wherein, l is the effective distance that public transit vehicle travels in intersection, sequence t1→tnAnd v1→vnRespectively the 1st to
Public transit vehicle all GPS time sequence and instantaneous velocity sequence in n time section effective distance；
S34, public transit vehicle is calculated in the actual travel time T of intersectionIt is real：
Wherein, the distance that L should be travelled in the coverage of intersection for the public transit vehicle of intersection entrance driveway, V is institute
The average speed for thering is public transit vehicle to travel in the intersection coverage.
S35, each public transit vehicle is calculated in the delay D of intersectionij(t)：
Dij(t) refer to that the t period passes through the delay of the jth public transit vehicle of the intersection i, TFreelyRefer to public transit vehicle in the intersection
Pass unimpeded the time, vFreelyRefer to public transit vehicle in the speed that passes unimpeded of the intersection, wherein the speed that passes unimpeded in regular public traffic passenger flow corridor is
35km/h, the speed that passes unimpeded for defining bus rapid transit passenger flow corridor is 40km/h.
Beneficial effect caused by the present invention：
The present invention strong, practical simplicity processing method for universality, utilizes the public transit vehicle dynamic bottle based on frequency accumulation
Neck recognition methods can effectively utilize public transport big data advantage, sufficiently merge urban road basic information, reduce investigator
Investment improves data reliability, enhances applicability.
Detailed description of the invention
Fig. 1 is a kind of system framework figure of public transit vehicle intersection operation bottleneck method of discrimination based on dynamic data；
The city the Tu2Wei Mou section intersection A distribution map；
Each intersection the A concrete condition figure in the city Tu3Wei Mou section；
The city Tu4Wei Mou part public transit vehicle GPS data schematic diagram；
The all types of intersection delay cumulative distribution tables of the city Tu5Wei Mou section A；
The all types of intersection operating statuses of the city Tu6Wei Mou section A and bottleneck degree differentiate figure；
Fig. 7 is each intersection operating status of city's one day section A and bottleneck degree analyzing figure；
The city the Tu8Wei Mou section intersection B distribution map；
Each intersection concrete condition figure of the city Tu9Wei Mou section B；
Figure 10 is all types of intersection delay cumulative distribution tables of certain city section B；
Figure 11 is that all types of intersection operating statuses of certain city section B and bottleneck degree differentiate figure；
Figure 12 is each intersection operating status of city's one day section B and bottleneck degree analyzing figure.
Specific embodiment
In the following with reference to the drawings and specific embodiments, the present invention is furture elucidated, it should be understood that these embodiments are merely to illustrate
It the present invention rather than limits the scope of the invention, after the present invention has been read, those skilled in the art are to of the invention each
The modification of kind equivalent form falls within the application range as defined in the appended claims.
It is a kind of system framework of public transit vehicle intersection operation bottleneck method of discrimination based on dynamic data as shown in Figure 1
Scheme, mainly includes：
Step 1: the data from public transit vehicle data acquisition system are mainly carried out abnormal data and sentenced by data prediction
It is disconnected, data cleansing work, after intersect by public transit vehicle GPS data, AVL data and from the city of urban road information system
Message breath is matched and is merged；
Step 2: obtaining intersection range longitude and latitude data, intersection range is filtered out from public transit vehicle GPS data library
Interior public transit vehicle operation data library；
Step 3: utilizing speed --- time integral model estimate public transit vehicle in the actual travel time of intersection, into
And the intersection delay of each public transit vehicle is calculated, specific step is as follows：
Passenger flow corridor type is judged according to whether laying the bus zone with independent right of way on passenger flow corridor first ---
Regular public traffic passenger flow corridor or bus rapid transit passenger flow corridor.Passenger flow corridor is laid on major urban arterial highway mostly, but ground is public
Friendship is divided into regular public traffic and bus rapid transit, causes transit corridor grade different, causes it to have in means of transportation configuration larger
Difference, the speed of service also differ larger.Therefore, the speed that passes unimpeded for defining regular public traffic passenger flow corridor is 35km/h, for instantaneous
Data of the speed greater than peak 45km/h assign peak 45km/h；The speed that passes unimpeded for defining bus rapid transit passenger flow corridor is
40km/h, the data for instantaneous velocity greater than peak 60km/h assign peak 60km/h；
Effective operating range l of each public transit vehicle in intersection within the scope of calculating intersection：
Wherein, l is the effective distance that vehicle travels in intersection, sequence t1→tnAnd v1→vnRespectively the 1st to n
Public transit vehicle all GPS time sequence and instantaneous velocity sequence in time section effective distance.
Public transit vehicle is calculated in the actual travel time T of intersectionIt is real：
Wherein, the distance that L should be travelled in the coverage of intersection for the public transit vehicle of intersection entrance driveway,For institute
The average speed for thering is public transit vehicle to travel in the intersection coverage.
Each public transit vehicle is calculated in the delay D of intersectionij(t)：
Dij(t) refer to that the t period passes through the delay of the jth public transit vehicle of the intersection i, TFreelyRefer to public transit vehicle in the intersection
Pass unimpeded the time, vFreelyRefer to that (speed that passes unimpeded in regular public traffic passenger flow corridor is 35km/ to the speed that passes unimpeded of the public transit vehicle in the intersection
H, the speed that passes unimpeded for defining bus rapid transit passenger flow corridor is 40km/h).
Step 4: the average public transit vehicle delay time at stop mean value of each intersection in counting statistics interval；
Step 5: judging intersection type using the grade of road intersection, and intersection range longitude and latitude data are obtained, had
Body judgment method is as shown in the table：
Step 6: the cumulative frequency distribution situation of all types of intersection mean delays of statistic of classification, determines that bottleneck degree is sentenced
Other threshold value, and Dynamic Recognition is carried out to all types of intersection operating statuses and bottleneck, specific method of discrimination is as follows；
Note：D15、D30、D50、D85Respectively the 15%th, 30%, 50%, 85% of different brackets intersection puts down
It is delayed
Below with reference to certain city's example, explanation is further analyzed to the present invention in terms of regular public traffic and bus rapid transit two：
The intersection operating status of certain city section A regular public traffic vehicle operation is assessed respectively, and identifies all kinds of friendships
The operation bottleneck of prong, specific step is as follows：
Step 1: data prediction.It is most important for the letter such as business hours, GPS velocity, longitude, latitude in GPS data
Breath.The quality problems of GPS data determine and clean, restorative procedure is as follows：1. record completely duplicate for field data, should pick
It removes；Record duplicate for part field data should be rejected or be repaired as the case may be；2. with GPS obtain frequency be 10s this
One foundation, determines whether data strip lacks, and needs to repair data if missing, the method for data reparation mainly has history number
It is predicted that method and interpolation method；3. if the instantaneous velocity of public transit vehicle be greater than instantaneous velocity threshold value (regular public traffic 45km/h, fastly
Fast public transport is 60km/h) or shift value of the public transit vehicle within the period be greater than threshold value, then be determined as wrong data, need to be to mistake
Accidentally data are repaired, and restorative procedure is the same as 2..The section intersection A layout scenarios are as shown in Fig. 2, each intersection specifying information such as figure
Shown in 3, part public transit vehicle GPS data is as shown in Figure 4.
Step 2: the longitude and latitude data of each intersection range of section A are obtained according to intersection specifying information and GPS data,
Then the public transit vehicle operation data library within the scope of intersection is filtered out from public transit vehicle GPS data library；
Step 3: utilizing speed --- time integral model estimate public transit vehicle in the actual travel time of intersection, into
And calculate the delay that each public transit vehicle is generated in intersection；
Step 4: the average public transit vehicle of counting statistics interval (present invention set statistical interval as 15 minutes) each intersection
Delay time at stop mean value；
Step 5: the grade using road intersection judges intersection type.Section A is mainly regular public traffic operation section,
Due to intersection leg C, D be subsidiary road, intersection leg E, section F and section B be major trunk roads, judge intersection 1., 4. for normal C
2., 3., 5. class, intersection are normal B class.
Step 6: the cumulative frequency distribution situation of all types of intersection mean delays of statistic of classification, as shown in figure 5, simultaneously
All kinds of intersection bottleneck threshold values are determined according to accumulative perception.Intersect (normal B class intersection) with major trunk roads, when intersection delay is low
When 24s, public transit vehicle operation is smooth；It is substantially smooth when intersection delay is between 24s~33s；When intersection delay is situated between
It is slight bottleneck when 33s~48s；It is moderate bottleneck when intersection delay is between 48s~77s；When intersection delay is super
It is severe bottleneck when crossing 77s.Intersect (normal C class intersection) with subsidiary road/branch, when intersection delay is lower than 25s, public transport
Vehicle operation is smooth；It is substantially smooth when intersection delay is between 25s~34s；When intersection delay is between 34s~44s
When, it is slight bottleneck；It is moderate bottleneck when intersection delay is between 44s~68s；When intersection delay is more than 68s, it is
Severe bottleneck, it is specific as shown in Figure 6.The all types of intersections of Dynamic Recognition run bottleneck simultaneously.Make a concrete analysis of on May 30th, 2017
The bottleneck of all types of intersection day parts of section A, represents different bottleneck degree in different colors, specific as shown in Figure 7；
The intersection operating status of certain period city section B quick public transport vehicle operation is assessed, and identifies operation
Bottleneck；
Step 1: data prediction, with section A processing method.Fig. 8 show the section intersection B layout scenarios, and Fig. 9 is
Each intersection concrete condition；
Step 2: obtaining each intersection range longitude and latitude data of section B, friendship is filtered out from public transit vehicle GPS data library
Public transit vehicle operation data library within the scope of prong；
Step 3: utilizing speed --- time integral model estimate public transit vehicle in the actual travel time of intersection, into
And calculate the intersection delay of each public transit vehicle；
Step 4: the average public transit vehicle of counting statistics interval (present invention set statistical interval as 15 minutes) each intersection
Delay time at stop mean value；
Step 5: the grade using road intersection judges intersection type.Section B is mainly quick public transport vehicle operation road
Section, since intersection leg G is subsidiary road, section A, section H are major trunk roads, and judging intersection 2. is fast C class, and intersection is 1., 3.
For fast B class；
Step 6: the cumulative frequency distribution situation of all types of intersection mean delays of statistic of classification, as shown in Figure 10, simultaneously
All kinds of intersection bottleneck threshold values are determined according to accumulative perception.Intersect (fast B class intersection) with major trunk roads, when intersection delay is low
When 8s, public transit vehicle operation is smooth；It is substantially smooth when intersection delay is between 8s~14s；When intersection delay between
It is slight bottleneck when 14s~23s；It is moderate bottleneck when intersection delay is between 23s~50s；When intersection delay is more than
It is severe bottleneck when 50s.Intersect (fast C class intersection) with subsidiary road/branch, when intersection delay is lower than 4s, public transit vehicle
It runs smooth；It is substantially smooth when intersection delay is between 4s~8s；It is slight when intersection delay is between 8s~12s
Bottleneck；It is moderate bottleneck when intersection delay is between 12s~28s；It is severe bottleneck when intersection delay is more than 28s,
It is specific as shown in figure 11.The all types of intersections of Dynamic Recognition run bottleneck simultaneously.Make a concrete analysis of certain section B on May 30th, 2017
The bottleneck of all types of intersections BRT day part represents different bottleneck degree in different colors, specific as shown in figure 12.
Claims (3)
1. a kind of public transit vehicle intersection based on dynamic data runs bottleneck method of discrimination, which is characterized in that this method includes
Following steps：
S1, data prediction, including abnormal data differentiation, data cleansing, data fusion and intersection information supplement；
S2, intersection range longitude and latitude data are obtained, the public transport within the scope of intersection is filtered out from public transit vehicle GPS data library
Vehicle operation data library；
S3, speed is utilized --- time integral model estimation public transit vehicle calculates every in the actual travel time of intersection
The intersection delay of public transit vehicle；
S4, each intersection in counting statistics interval average public transit vehicle delay time at stop mean value；
S5, intersection type is judged using the grade of road intersection；
The cumulative frequency distribution situation of S6, all types of intersection mean delays of statistic of classification determine bottleneck degree discrimination threshold, and
Dynamic Recognition is carried out to all types of intersections operation bottleneck.
2. the public transit vehicle intersection according to claim 1 based on dynamic data runs bottleneck method of discrimination, feature
It is, data prediction described in step S1 specifically includes judgement and normal data there are the abnormal data object of deviation and incites somebody to action
It is rejected, while public transit vehicle GPS data, AVL data and urban road intersection information are matched and being merged, and is mended
It fills and illustrates that urban road intersection whether there is traffic accident, public transit vehicle failure, construction information, and real-time perfoming updates.
3. the public transit vehicle intersection according to claim 1 or 2 based on dynamic data runs bottleneck method of discrimination, special
Sign is that the specific method that the intersection delay of each public transit vehicle is calculated described in step S3 is：
S31, judge that passenger flow corridor type is conventional public affairs according to whether laying the bus zone with independent right of way on passenger flow corridor
Passenger flow corridor or bus rapid transit passenger flow corridor are handed over, while the speed that passes unimpeded for defining regular public traffic passenger flow corridor is 35km/h, for
Data of the instantaneous velocity greater than peak 45km/h assign peak 45km/h；Define the speed that passes unimpeded in bus rapid transit passenger flow corridor
Degree is 40km/h, and the data for instantaneous velocity greater than peak 60km/h assign peak 60km/h；
S32, intersection range longitude and latitude data are obtained, and is filtered out within the scope of intersection from public transit vehicle GPS data library
Public transit vehicle operation data library；
S33, each public transit vehicle is calculated in effective operating range l of intersection：
Wherein, l is the effective distance that public transit vehicle travels in intersection, sequence t1→tnAnd v1→vnAt respectively the 1st to n
Between public transit vehicle all GPS time sequence and instantaneous velocity sequence in section effective distance；
S34, public transit vehicle is calculated in the actual travel time T of intersectionIt is real：
Wherein, the distance that L should be travelled in the coverage of intersection for the public transit vehicle of intersection entrance driveway, V are all public affairs
The average speed for handing over vehicle to travel in the intersection coverage.
S35, each public transit vehicle is calculated in the delay D of intersectionij(t)：
Dij(t) refer to that the t period passes through the delay of the jth public transit vehicle of the intersection i, TFreelyRefer to public transit vehicle in the smooth of the intersection
Row time, vFreelyRefer to public transit vehicle in the speed that passes unimpeded of the intersection, wherein the speed that passes unimpeded in regular public traffic passenger flow corridor is 35km/
H, the speed that passes unimpeded for defining bus rapid transit passenger flow corridor is 40km/h.
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| CN110782656A (en) * | 2019-04-15 | 2020-02-11 | 北京嘀嘀无限科技发展有限公司 | Road bottleneck point identification method and device, electronic equipment and storage medium |
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| CN110751453B (en) * | 2019-09-18 | 2022-12-02 | 北京交通大学 | Method and system for identifying and resolving capacity bottleneck of railway channel |
| CN111161536A (en) * | 2019-12-25 | 2020-05-15 | 南京行者易智能交通科技有限公司 | Time interval and road section selection method, device and system for bus lane |
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