CN105303831A - Method for determining congestion state of highway based on communication data - Google Patents
Method for determining congestion state of highway based on communication data Download PDFInfo
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- CN105303831A CN105303831A CN201510682904.1A CN201510682904A CN105303831A CN 105303831 A CN105303831 A CN 105303831A CN 201510682904 A CN201510682904 A CN 201510682904A CN 105303831 A CN105303831 A CN 105303831A
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Abstract
The invention discloses a method for determining the congestion state of a highway by positioning on the basis of mobile-phone voice bills, data bills and MR position data, recording movement path in real time and calculating the movement speed. Position data of a mobile phone terminal is collected within the latitude and longitude range of the monitored highway, the speed of the mobile phone terminal is calculated according time that the mobile phone terminal finished certain road, all sample speeds that satisfy requirements are averaged to obtain average speed of the road, the congestion state of the road is evaluated aimed at different speeds, all road-network identification areas are rated by utilizing an ArcGis geographic processing service, a picture of different colors is generated, the latitude and longitude of the picture are marked, and the full view is presented on a map by overlapping the coordinates of the geographical positions. The defects including high construction difficulty, high construction and maintenance cost and limited coverage area of the traditional monitoring method are overcome, the congestion state of the whole monitored highway can be completely reflected, and the method is adapted to the trend of increased social network information.
Description
Technical field
The present invention relates to a kind of method judging expressway jam situation based on communication data, be applicable to, for traffic operation monitoring, traffic control, traffic guidance, traffic planning and design, Traffic information demonstration provide service, belong to traffic operation and management technical field.
Background technology
Highway is the important carrier of transport applications, due to the growth of highway flow, Frequent Accidents, Toll Free festivals or holidays etc. reason, on highway, the occurrence frequency of traffic congestion is more and more higher, block up affect section, the duration of blocking up is more and more longer, to modernization, the information-based operation management level of highway, propose more and more higher requirement.When traffic congestion occurs, detect in the urgent need in real time, accurately, reliably the generation section that blocks up, moment and duration occur, study and judge analysis, Improving Expressway operation management efficiency and effect to relevant traffic control department, the trip conscientiously improving traveler is experienced.
Under ambient environment; mobile phone speech ticket in the communication information, data ticket, MR position data; and the statistics under conventional normal condition such as the real time record motion track of expressing on a highway has metastable data characteristic, the above-mentioned communication information can be obtained by communication system.When getting congestion situation, will there is corresponding change in the above-mentioned communication information.
Summary of the invention
The present invention proposes a kind of method judging expressway jam situation based on communication data according to the characteristic of existing communication technology, communication data.The object of the invention is to gather the mobile phone longitude and latitude position data travelling user in high speed, calculates the average velocity by a certain section, judges the jam situation in section, and present with different colors in GIS map.
The present invention is achieved through the following technical solutions:
The method of expressway jam situation is judged based on communication data, it is characterized in that: described method is according to mobile phone speech ticket longitude and latitude, data ticket longitude and latitude, MR signaling longitude and latitude in acquisition fastlink communication data, and real time record motion track, calculate translational speed and judge expressway jam situation.
Specifically comprise following concrete steps:
(1), the accurate longitude and latitude scope of monitored expressway is extracted, as sample area;
(2), by expressway be divided into the elementary cell of equal length, be called road network tag slot, be designated as L
i, i=1,2 ... n, n represent that tag slot is numbered, and wherein, length is got between 500m to 2000m;
(3), all longitude and latitude data of collecting sample mobile phone terminal, comprise sound ticket longitude and latitude, data ticket longitude and latitude, MR signaling longitude and latitude, the sample of latitude and longitude coordinates in sample area carried out real-time follow-up sampling as effective sample;
(4), utilize road network to identify rating algorithm to grade to each road network tag slot;
(5), utilize road network to identify correction algorithm to special road section, namely data correction is carried out in the grading of expressway spur outlet section;
(6), utilize ArcGis geography process service to grade all road network tag slots according to different colours generating pictures, mark out the longitude and latitude of picture, then picture is presented by the mode superposed by geographical position coordinates on map.
Described road network mark rating algorithm is:
S1) time of sample by road network tag slot, is calculated
(1) what obtain based on voice, data ticket passes through the time
T＝ti-t1
Wherein, T is the time of sample by road network logo area, and t1 represents that sample enters the time of this road network logo area first ticket, ti represents that sample leaves the time of this last ticket of road network logo area, i=1,2,, i represents this sample ticket number of this road network logo area;
(2) that fixes that signaling method obtains based on base station MR passes through the time
T＝N/F
Wherein, T is the time of sample by road network tag slot, and N represents the sampling number by this road network tag slot, and F represents sample frequency, adopts frequency can arrange for fixing;
S2) speed of sample by this road network tag slot, is calculated
V
i＝L
i/T
i
Wherein, V
ifor sample is by the speed of road network tag slot, L
irepresent road network tag slot length;
S3), interference sample is cleaned
(1) high speed roadside pedestrian or resident family's sample are cleaned; Comprise sample speed and all the other sample speed differences are huge, this sample can be cleaned as interference sample;
(2) monitored expressway and other highways partially overlap or in next-door neighbour's situation, the historical track according to sample judges; The sample comprised the place entering sample area is not the actual entry of expressway is cleaned as interference sample;
S4) average velocity that this road network tag slot institute effective sample passes through, is calculated
Vt＝(V
1+V
2+V
3+....+V
n)/n
S5) average velocity netting tag slot that, satisfies the need carries out interval grading
Heavy congestion, represents by redness: average velocity < α;
Congested, represent by yellow: α <=average velocity <=β;
Unimpeded, represent by green: β < average velocity;
Wherein, α, β, γ are respectively the threshold values of speed, and concrete large I is arranged.
Described road network mark correction algorithm is:
To spur outlet section, expressway, exclude high speed sample and can cause disturbed condition to analysis result;
1), this road network tag slot L is calculated by normal logic
iaverage velocity V
i;
2) former and later two road network tag slots L of this road network tag slot next-door neighbour, is calculated
i, L
i+1average velocity V
i, V
i+1, calculate the average velocity Vt=(V of 3 continuous road network tag slots
i+ V
i+1+ V
i+2)/3, as this road network tag slot speed and grade.The method of expressway jam situation is judged based on communication data, it is characterized in that: described method is according to mobile phone speech ticket, data ticket, MR position data in obtaining communication data, and real time record motion track, calculate translational speed and judge expressway jam situation.
The invention discloses one to position based on mobile phone speech ticket, data ticket, MR position data, real time record motion track, calculate the method that translational speed judges expressway jam situation.The position data of mobile phone terminal is gathered within the scope of the longitude and latitude of monitored expressway, according to its speed of the Time Calculation completed needed for a certain section, again all satisfactory sample speed is averaged, obtain the average velocity in this section, the jam situation in section is evaluated for friction speed, and utilize ArcGis geography process service by the grading of all road network tag slots according to different colours generating pictures, mark out the longitude and latitude of picture, then the mode superposed by geographical position coordinates on map is carried out panorama and is presented.Compensate for when being monitored by conventional coil detection technique, infrared detection technology, microwave radar detection technology, RFID like this, the defects such as difficulty of construction is large, construction maintenance cost is high, area coverage is limited, investment curtailment cost greatly, decrease workload, the overall jam situation of monitored high speed can also be reflected completely, the trend that the society network information is growing can be adapted to.
Helpfulness of the present invention: usually adopt camera at present, coil checker, the jam situation of the terminal device monitoring expressways such as infrared eye, but there is terminal device to drop into, maintenance cost is high, cover not comprehensive, present the defects such as not directly perceived, by the real-time monitoring based on mobile phone terminal position data, calculate the jam situation being judged section by the mode of the average velocity of terminals all during section, and present in real time in GIS map, eliminate input and the maintenance cost of terminal, cover comprehensively, and the panoramic view of energy real-time exhibition expressway jam situation, substantially increase the work efficiency of vehicle supervision department.
Accompanying drawing explanation
Fig. 1 is the inventive method schematic flow sheet;
Fig. 2 is embodiment of the present invention result of calculation exemplary plot.
In figure, 1 is green unimpeded section, and 2 is yellow congested section, and 3 is red heavy congestions; Be colour picture when actual displayed, the most darkly to represent red, to represent that green, another look are for yellow with the lightest in Fig. 2.
Embodiment
Below by embodiment, the present invention is specifically described; embodiment is only for being further detailed the present invention; can not be interpreted as limiting the scope of the invention, some nonessential improvement that those skilled in the art's content according to the present invention is made and adjustment also belong to the scope of protection of the invention.
Composition graphs 1, the method of expressway jam situation is judged based on communication data, method is according to mobile phone speech ticket longitude and latitude, data ticket longitude and latitude, MR signaling longitude and latitude in acquisition fastlink communication data, and real time record motion track, calculate translational speed and judge expressway jam situation.
Comprise following concrete steps:
(1), the accurate longitude and latitude scope of monitored expressway is extracted, as sample area;
(2), by expressway be divided into the elementary cell of equal length, be called road network tag slot, be designated as L
i, i=1,2 ... n, n represent that tag slot is numbered, and wherein, length is got between 500m to 2000m;
(3), all longitude and latitude data of collecting sample mobile phone terminal, comprise sound ticket longitude and latitude, data ticket longitude and latitude, MR signaling longitude and latitude, the sample of latitude and longitude coordinates in sample area carried out real-time follow-up sampling as effective sample;
(4), utilize road network to identify rating algorithm to grade to each road network tag slot;
(5), utilize road network to identify correction algorithm to special road section, namely data correction is carried out in the grading of expressway spur outlet section;
(6), utilize ArcGis geography process service to grade all road network tag slots according to different colours generating pictures, mark out the longitude and latitude of picture, then picture is presented by the mode superposed by geographical position coordinates on map.
Road network mark rating algorithm is:
S1) time of sample by road network tag slot, is calculated
(1) what obtain based on voice, data ticket passes through the time
T＝ti-t1
Wherein, T is the time of sample by road network logo area, and t1 represents that sample enters the time of this road network logo area first ticket, ti represents that sample leaves the time of this last ticket of road network logo area, i=1,2,, i represents this sample ticket number of this road network logo area;
(2) that fixes that signaling method obtains based on base station MR passes through the time
T＝N/F
Wherein, T is the time of sample by road network tag slot, and N represents the sampling number by this road network tag slot, and F represents sample frequency, adopts frequency can arrange for fixing;
S2) speed of sample by this road network tag slot, is calculated
V
i＝L
i/T
i
Wherein, V
ifor sample is by the speed of road network tag slot, L
irepresent road network tag slot length;
S3), interference sample is cleaned
(1) high speed roadside pedestrian or resident family's sample are cleaned; Comprise sample speed and all the other sample speed differences are huge, this sample can be cleaned as interference sample;
(2) monitored expressway and other highways partially overlap or in next-door neighbour's situation, the historical track according to sample judges; The sample comprised the place entering sample area is not the actual entry of expressway is cleaned as interference sample;
S4) average velocity that this road network tag slot institute effective sample passes through, is calculated
Vt＝(V
1+V
2+V
3+....+V
n)/n
S5) average velocity netting tag slot that, satisfies the need carries out interval grading
Heavy congestion, represents with red 3: average velocity < α;
Congested, represent with yellow 2: α <=average velocity <=β;
Unimpeded, represent with green 1: β < average velocity;
Wherein, α, β, γ are respectively the threshold values of speed, and concrete large I is arranged.
Road network mark correction algorithm is:
To spur outlet section, expressway, exclude high speed sample can cause interference situation to analysis result;
1), this road network tag slot L is calculated by normal logic
iaverage velocity V
i;
2) former and later two road network tag slots L of this road network tag slot next-door neighbour, is calculated
i, L
i+1average velocity V
i, V
i+1, calculate the average velocity Vt=(V of 3 continuous road network tag slots
i+ V
i+1+ V
i+2)/3, as this road network tag slot speed and grade.The method of expressway jam situation is judged based on communication data, it is characterized in that: described method is according to mobile phone speech ticket, data ticket, MR position data in obtaining communication data, and real time record motion track, calculate translational speed and judge expressway jam situation.
For Chengdu around city at a high speed, the long 224KM in road:
(1) in GIS map, determine the scope of Chengdu around city high speed.
(2), 448 regions will be divided into, each region 500m, 5, each region grid at a high speed around city), be numbered L1, L2 respectively ... L448.
(3), collect terminal A, B, C produce ticket in sample range, the ticket all to these three terminal specimen sample real-time follow-up, until sample leaves sample area.
(4), single sample rate is calculated: A sample collection situation is illustrated:
(5), certain moment, calculate section grid speed, and interference sample cleaned:
(6) result is presented as shown in Figure 2, for:
| Sequence number | State | Color | Road network sequence identifier district average velocity |
| 3 | Heavy congestion | Red | Translational speed≤20km/h |
| 2 | Congested | Yellow | 20km/h≤translational speed≤40km/h |
| 1 | Unimpeded | Green | Translational speed > 40km/h |
Claims (4)
1. one kind judges the method for expressway jam situation based on communication data, it is characterized in that: described method is according to mobile phone speech ticket longitude and latitude, data ticket longitude and latitude, MR signaling longitude and latitude in acquisition fastlink communication data, and real time record motion track, calculate translational speed and judge expressway jam situation.
2. the method judging expressway jam situation based on communication data according to claim 1, is characterized in that comprising following concrete steps:
(1), the accurate longitude and latitude scope of monitored expressway is extracted, as sample area;
(2), by expressway be divided into the elementary cell of equal length, be called road network tag slot, be designated as L
i, i=1,2 ... n, n represent that tag slot is numbered, and wherein, length is got between 500m to 2000m;
(3), all longitude and latitude data of collecting sample mobile phone terminal, comprise sound ticket longitude and latitude, data ticket longitude and latitude, MR signaling longitude and latitude, the sample of latitude and longitude coordinates in sample area carried out real-time follow-up sampling as effective sample;
(4), utilize road network to identify rating algorithm to grade to each road network tag slot;
(5), utilize road network to identify correction algorithm to special road section, namely data correction is carried out in the grading of expressway spur outlet section;
(6), utilize ArcGis geography process service to grade all road network tag slots according to different colours generating pictures, mark out the longitude and latitude of picture, then picture is presented by the mode superposed by geographical position coordinates on map.
3. the method judging expressway jam situation based on communication data according to claim 2, is characterized in that: described road network mark rating algorithm is:
S1) time of sample by road network tag slot, is calculated
(1) what obtain based on voice, data ticket passes through the time
T＝ti-t1
Wherein, T is the time of sample by road network logo area, and t1 represents that sample enters the time of this road network logo area first ticket, ti represents that sample leaves the time of this last ticket of road network logo area, i=1,2,, i represents this sample ticket number of this road network logo area;
(2) that fixes that signaling method obtains based on base station MR passes through the time
T＝N/F
Wherein, T is the time of sample by road network tag slot, and N represents the sampling number by this road network tag slot, and F represents sample frequency, adopts frequency can arrange for fixing;
S2) speed of sample by this road network tag slot, is calculated
V
i＝L
i/T
i
Wherein, V
ifor sample is by the speed of road network tag slot, L
irepresent road network tag slot length;
S3), interference sample is cleaned
(1) high speed roadside pedestrian or resident family's sample are cleaned; Comprise sample speed and all the other sample speed differences are huge, this sample can be cleaned as interference sample;
(2) monitored expressway and other highways partially overlap or in next-door neighbour's situation, the historical track according to sample judges; The sample comprised the place entering sample area is not the actual entry of expressway is cleaned as interference sample;
S4) average velocity that this road network tag slot institute effective sample passes through, is calculated
Vt＝(V
1+V
2+V
3+....+V
n)/n
S5) average velocity netting tag slot that, satisfies the need carries out interval grading
Heavy congestion, represents by redness: average velocity < α;
Congested, represent by yellow: α <=average velocity <=β;
Unimpeded, represent by green: β < average velocity;
Wherein, α, β, γ are respectively the threshold values of speed, and concrete large I is arranged.
4. the method judging expressway jam situation based on communication data according to claim 2, is characterized in that: described road network mark correction algorithm is:
To spur outlet section, expressway, exclude high speed sample can cause interference situation to analysis result;
1), this road network tag slot L is calculated by normal logic
iaverage velocity V
i;
2) former and later two road network tag slots L of this road network tag slot next-door neighbour, is calculated
i, L
i+1average velocity V
i, V
i+1, calculate the average velocity Vt=(V of 3 continuous road network tag slots
i+ V
i+1+ V
i+2)/3, as this road network tag slot speed and grade.
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| CN105741548A (en) * | 2016-04-19 | 2016-07-06 | 上海理工大学 | Method for generating traffic state cloud atlas |
| CN106504524A (en) * | 2016-09-14 | 2017-03-15 | 杭州诚智天扬科技有限公司 | A kind of method that express highway section is divided based on mobile signaling protocol dynamic |
| CN106781479A (en) * | 2016-12-23 | 2017-05-31 | 重庆邮电大学 | A kind of method for obtaining highway running status in real time based on mobile phone signaling data |
| CN108064053A (en) * | 2018-02-13 | 2018-05-22 | 中国联合网络通信集团有限公司 | Network performance analysis method and device |
| CN108171992A (en) * | 2017-12-28 | 2018-06-15 | 重庆邮电大学 | A kind of parallel road vehicle speed calculation method based on mobile phone signaling big data |
| CN109326123A (en) * | 2018-11-15 | 2019-02-12 | 中国联合网络通信集团有限公司 | Traffic information treating method and apparatus |
| CN114078328A (en) * | 2021-12-02 | 2022-02-22 | 中国联合网络通信集团有限公司 | Road condition determination method and device and computer readable storage medium |
| CN115223369A (en) * | 2022-08-16 | 2022-10-21 | 中国银行股份有限公司 | Traffic dispersion method and device |
| CN115359663A (en) * | 2022-10-21 | 2022-11-18 | 四川省公路规划勘察设计研究院有限公司 | Disaster-resistant toughness calculation method and device for mountain road disaster section and electronic equipment |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN105741548A (en) * | 2016-04-19 | 2016-07-06 | 上海理工大学 | Method for generating traffic state cloud atlas |
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| CN109326123A (en) * | 2018-11-15 | 2019-02-12 | 中国联合网络通信集团有限公司 | Traffic information treating method and apparatus |
| CN114078328A (en) * | 2021-12-02 | 2022-02-22 | 中国联合网络通信集团有限公司 | Road condition determination method and device and computer readable storage medium |
| CN115223369A (en) * | 2022-08-16 | 2022-10-21 | 中国银行股份有限公司 | Traffic dispersion method and device |
| CN115359663A (en) * | 2022-10-21 | 2022-11-18 | 四川省公路规划勘察设计研究院有限公司 | Disaster-resistant toughness calculation method and device for mountain road disaster section and electronic equipment |
| CN115359663B (en) * | 2022-10-21 | 2023-03-14 | 四川省公路规划勘察设计研究院有限公司 | Mountain road disaster section disaster-resistant toughness calculation method and device and electronic equipment |
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