CN204576794U - A kind of track vehicle flow statistical system - Google Patents
A kind of track vehicle flow statistical system Download PDFInfo
- Publication number
- CN204576794U CN204576794U CN201520277873.7U CN201520277873U CN204576794U CN 204576794 U CN204576794 U CN 204576794U CN 201520277873 U CN201520277873 U CN 201520277873U CN 204576794 U CN204576794 U CN 204576794U
- Authority
- CN
- China
- Prior art keywords
- vehicle
- track
- vehicle flow
- road
- server
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Expired - Fee Related
Links
Landscapes
- Traffic Control Systems (AREA)
Abstract
The utility model relates to traffic administration, especially relates to a kind of track vehicle flow statistical system, comprising: server, Vehicle Controller; Described server and Vehicle Controller communicate to connect; Described Vehicle Controller comprises controller, communication module, locating device; Described locating device is high-precision positioner, can vehicle location on track; By obtaining at the more accurate real time position of road vehicles, vehicle location on track; Server is according to the coefficient taking road of the various types of vehicles pre-set, calculate the real-time vehicle flow velocity above reflection track or road, the statistics track of any time period or the vehicle flow rate of road, the prediction track of future time period, the vehicle flow rate of road, be conducive to traffic administration, communication navigation.
Description
Technical field
The utility model relates to traffic administration, especially relates to a kind of track vehicle flow statistical system.
Background technology
Above reflecting track or road, vehicle flow can use road vehicle flow, vehicle flow rate.Road vehicle flow, road vehicle flow velocity are the important evidence of traffic design, traffic administration, communication navigation; Particularly real-time road vehicle flow velocity, can be used for carrying out real-time traffic administration, communication navigation; Be accurate to the important evidence of the vehicle flow of track rank, vehicle flow rate traffic design, traffic administration, communication navigation especially; The real-time vehicle flow being accurate to track rank, vehicle flow rate have very large meaning to real-time traffic scheduling, communication navigation.
The positioning precision of existing differential satellite positioning system can reach a millimeter rank, and little by the impact of terrain and its features; Further, by carrying out the aftertreatments such as error correction to the data of single-point satnav, the technology of high-precision fixed bit data is obtained; High-precision satellite positioning tech can be used for carrying out traffic administration.
Existing Chinese patent 201210178817.9 proposes wireless induction type road vehicle flow detection device, by roadside base station and the wire-less inductive devices be embedded under road foundation, obtains vehicle flow data; But need to lay a large amount of equipment.
Existing Chinese patent 201210507080.0 proposes a kind of urban road traffic state method of discrimination based on section detector; Construct evaluation index of comprehensively blocking up, i.e. a traffic congestion index with the magnitude of traffic flow, speed, these three traffic flow parameters of time occupancy, utilize traffic congestion exponent pair road section traffic volume state to differentiate; But this invention is based on the transport information of detection sections some on section, and information acquisition is less, and the data precision is lower.
If, the self-contained high precision satellite positioning device of all or most vehicle, server passes through to obtain at the more accurate real time position of road vehicles, vehicle location on track, just can analyze road occupation situation real-time accurately, more can obtain accurate track service condition; Namely real-time road vehicle flow, road vehicle flow velocity, track vehicle flow, track vehicle flow rate is analyzed.
Summary of the invention
Technical matters:
For the defect that prior art exists, the utility model proposes a kind of track vehicle flow statistical system and track vehicle flow statistical method thereof, by the high-accuracy position system that each vehicle is installed, obtain the real time position of the vehicle on road, vehicle location on track, analyze real-time road vehicle flow, road vehicle flow velocity, track vehicle flow, track vehicle flow rate further.
Technical scheme:
For achieving the above object, the utility model proposes a kind of track vehicle flow statistical system, comprising: server, Vehicle Controller; Described server and Vehicle Controller communicate to connect; Described Vehicle Controller comprises controller, communication module, locating device; Described locating device is high-precision positioner, can vehicle location on track; Described Vehicle Controller is arranged on vehicle; Described controller is connected with communication module and locating device respectively; Described communication module is in order to data information mutual between server and Vehicle Controller; Described locating device sends controller to vehicle location information.
Described a kind of Real-time Road service condition analytic system, also comprise office terminal, described office terminal is connected with server by communication system, for managing the operation of whole system.
Described track vehicle flow statistical method, comprises the steps:
1) locator data of the real-time high-precision of vehicle is obtained: each vehicle is sent to server according to the mode of operation pre-set oneself up-to-date locator data;
2) according to server receive from the locator data within the scope of current time forward setting-up time and preset region, track, statistics passes through the region, track of wish calculating vehicle flow within the scope of setting-up time, and arrives the total quantity of the vehicle in the region, follow-up track of this driveway travel directions; This total quantity is multiplied by the coefficient taking road of vehicle, and what obtain amasss as weighting vehicle flow; This weighting vehicle flow is the vehicle flow of this track within the scope of this setting-up time.
Described track vehicle flow statistical method, described step 2) replaced by following steps:
3) the setting period is divided into multiple sub-period being equal to or less than setting-up time scope from the off;
4) according to the region, track of presetting, respectively statistical server receive in each sub-period through the region, track for calculating vehicle flow, and arrived the total quantity of the vehicle in the region, follow-up track of this driveway travel directions; This total quantity is multiplied by the coefficient taking road of vehicle, and what obtain amasss as the weighting vehicle flow of this track within the scope of this setting-up time;
5) the summation of the total quantity of all sub-periods in this track obtained, the total quantity of the vehicle in this track of process of this setting period is obtained; The summation of the weighting vehicle flow of all sub-periods in this track obtained, obtain the weighting vehicle flow of this track within the scope of this setting-up time.
Described track vehicle flow statistical method, also comprises following process:
The coefficient taking road of often kind of dissimilar vehicle is set in advance respectively.
Described track vehicle flow statistical method, also comprises following process:
Vehicle flow is divided by the quantity of the unit interval of time corresponding to this vehicle flow, and the business obtained is the vehicle flow rate that this vehicle flow is corresponding.
Described track vehicle flow statistical method, also comprises following process:
According to the vehicle flow rate/vehicle flow of the multiple setting-up time scope one of the continuous print before current time correspondence, the vehicle flow rate/vehicle flow of follow-up a period of time can be doped.
Described track vehicle flow statistical method, also comprises following feature:
The described track for calculating vehicle flow is the set in one or more track; The follow-up track of described driveway travel directions is the set in one or more track.
Technique effect:
A kind of track vehicle flow statistical system that the utility model proposes, server is by obtaining at the more accurate real time position of road vehicles, vehicle location on track, and according to the coefficient taking road of the various types of vehicles pre-set, calculate real-time vehicle flow, the vehicle flow rate of track or road, calculate the vehicle flow of track or road, vehicle flow rate, be conducive to traffic administration, communication navigation.
Accompanying drawing explanation
Fig. 1 is the structural principle schematic diagram of a kind of track of the present utility model vehicle flow statistical system.
Fig. 2 is the structural principle schematic diagram of Vehicle Controller of the present utility model.
Embodiment
In order to make the purpose of this utility model, technical scheme and advantage clearly understand, below in conjunction with drawings and Examples, the utility model is described in further detail.Should be appreciated that specific embodiment described herein only in order to explain the utility model, and be not used in restriction the utility model.
As shown in Figure 1, a kind of track vehicle flow statistical system that the utility model proposes, this system comprises: server, Vehicle Controller; Described server and Vehicle Controller communicate to connect, the communication connection of preferred use safety.Described server is prior art.
As shown in Figure 1, a kind of track vehicle flow statistical system that the utility model proposes, also comprise office terminal, office terminal is connected with server by communication system, for managing the operation of whole system; Described office terminal is the fixed terminals such as computing machine, can be also the mobile terminals such as mobile phone, be prior art, preferably use computing machine.
As shown in Figure 2, described Vehicle Controller comprises: controller, communication module, locating device; Described locating device is high-precision positioner, can vehicle location on track; Described controller is connected with communication module and locating device respectively; Described communication module is in order to data information mutual between server and Vehicle Controller; Described locating device sends controller to vehicle location information.Described controller is prior art; Described communication module is prior art; Described locating device is prior art.Described locating device is vehicle-mounted high-precision satellite positioning device; Select differential satellite locating device, or other high precision satellite positioning device, the positioning precision of selected locating device is better than 0.5 meter, preferred use differential satellite locating device, and its positioning precision is better than 0.1 meter; Locating device sends controller to vehicle location information.
Described Vehicle Controller is arranged on vehicle, is powered by onboard power system, and it is installed, power supply technique is prior art.
Described track vehicle flow statistical method, comprises the steps:
1) locator data of the real-time high-precision of vehicle is obtained: each vehicle is sent to server according to the mode of operation pre-set oneself up-to-date locator data;
The locating module that Vehicle Controller comprises gives controller satellite location data, and controller, after satellite location data affix positioning time, the unique identifier of vehicle or the unique identifier of type of vehicle, sends to server as locator data;
The described mode of operation pre-set, can be timing or response formula, during timing mode, timing can be set to 0.01 second 300 seconds, preferably adopts timing mode, and timing is 0.5 second; Described locator data comprises the geographic coordinate of vehicle, positioning time, the unique identifier of vehicle or the unique identifier of type of vehicle.
2) according to server receive from the locator data within the scope of current time forward setting-up time and preset region, track, statistics passes through the region, track of wish calculating vehicle flow within the scope of setting-up time, and arrives the total quantity of the vehicle in the region, follow-up track of this driveway travel directions; This total quantity is multiplied by the coefficient taking road of vehicle, and what obtain amasss as weighting vehicle flow; This weighting vehicle flow is the vehicle flow of this track within the scope of this setting-up time;
Described setting-up time scope is 0.01 second to 30 minutes, preferably 1 minute; The described locator data found out in setting-up time is prior art; Described default region, track, being the function of existing Geographic Information System, is prior art; Described through for calculating vehicle flow region, track, arrived the region, follow-up track of this driveway travel directions, judge that the locator data that this car is sent to server is positioned at region, corresponding track, being that judging point is positioned at region, is the function of Geographic Information System, is prior art; The described region, track through wish calculating vehicle flow, and arrived the vehicle in the region, follow-up track of this driveway travel directions, judge that vehicle is successively in the technology in two regions within the time of setting, judge that vehicle is positioned at the function that a region is Geographic Information System, it is prior art, after judgement, compare the time order and function of two locator datas.
Described step 2) can be replaced by following steps:
3) the setting period is divided into multiple sub-period being equal to or less than setting-up time scope from the off;
The described setting period is 0.01 second to 300 minutes, preferably 30 minutes; Described setting-up time scope is 0.01 second to 30 minutes, preferably 1 minute;
4) according to the region, track of presetting, respectively statistical server receive in each sub-period through the region, track for calculating vehicle flow, and arrived the total quantity of the vehicle in the region, follow-up track of this driveway travel directions; This total quantity is multiplied by the coefficient taking road of vehicle, and what obtain amasss as the weighting vehicle flow of this track within the scope of this setting-up time;
Described default region, track, being the function of existing Geographic Information System, is prior art; The described locator data found out in setting-up time is prior art; Described through for calculating vehicle flow region, track, arrived the region, follow-up track of this driveway travel directions, judge that the locator data that this car is sent to server is positioned at region, corresponding track, being that judging point is positioned at region, is the function of Geographic Information System, is prior art; The described region, track through wish calculating vehicle flow, and arrived the vehicle in the region, follow-up track of this driveway travel directions, judge that vehicle is successively in the technology in two regions within the time of setting, judge that vehicle is positioned at the function that a region is Geographic Information System, it is prior art, after judgement, compare the time order and function of two locator datas;
5) the summation of the total quantity of all sub-periods in this track obtained, the total quantity of the vehicle in this track of process of this setting period is obtained; The summation of the weighting vehicle flow of all sub-periods in this track obtained, obtain the weighting vehicle flow of this track within the scope of this setting-up time.
Described track vehicle flow statistical method, also comprises following process:
The coefficient taking road of often kind of dissimilar vehicle is set in advance respectively;
The described coefficient taking road arranging often kind of dissimilar vehicle in advance respectively can be the independent coefficient taking road of the vehicle set of every type; Now, during calculating vehicle quantity, separating vehicles type statistics; When calculating weighting vehicle flow, use the coefficient taking road of the vehicle of corresponding types according to type of vehicle, obtain the weighted traffic of all kinds vehicle.
Described track vehicle flow statistical method, also comprises following process:
Vehicle flow is divided by the quantity of the unit interval of time corresponding to this vehicle flow, and the business obtained is the vehicle flow rate that this vehicle flow is corresponding;
Vehicle weighted traffic is divided by the quantity of the unit interval of time corresponding to this vehicle weighted traffic, and the business obtained is the vehicle weighted flow rates that this vehicle weighted traffic is corresponding; The described unit interval is minute, hour, day etc. according to requirements of one's work, preferred use hour.
Described track vehicle flow statistical method, also comprises following process:
According to the vehicle flow rate/vehicle flow of the multiple setting-up time scope one of the continuous print before current time correspondence, the vehicle flow rate/vehicle flow of follow-up a period of time can be doped;
Described prediction can adopt the prior aries such as arithmetic mean method, the method for moving average, exponetial smoothing method, linear regression method, preferably uses exponetial smoothing method.
Described track vehicle flow statistical method, also comprises following feature:
The described track for calculating vehicle flow is the set in one or more track; The follow-up track of described driveway travel directions is the set in one or more track;
The outlet in a track is one or more tracks; The outlet in track also has certain directivity, and calculating vehicle flow, flow velocity also have directivity; When judging track flow, all tracks that this track outlet/Way out connects are included into the set in follow-up track;
Article one, road is made up of one or more track, using the track set of the set in many tracks of a road association as statistics, just can count the flow of this road, flow velocity.
A kind of track vehicle flow statistical system that the utility model proposes, server is by obtaining at the more accurate real time position of road vehicles, vehicle location on track, and according to the coefficient taking road of the various types of vehicles pre-set, calculate real-time vehicle flow, the vehicle flow rate of track or road, calculate the vehicle flow of track or road, vehicle flow rate, be conducive to traffic administration, communication navigation.
The foregoing is only preferred embodiment of the present utility model; not in order to limit the utility model; all do within spirit of the present utility model and principle any amendment, equivalent to replace and improvement etc., all should be included within protection domain of the present utility model.
Claims (2)
1. a track vehicle flow statistical system, is characterized in that: comprise server, Vehicle Controller; Described server and Vehicle Controller communicate to connect; Described Vehicle Controller comprises controller, communication module, locating device; Described locating device is high-precision positioner, can vehicle location on track; Described Vehicle Controller is arranged on vehicle; Described controller is connected with communication module and locating device respectively; Described communication module is in order to data information mutual between server and Vehicle Controller; Described locating device sends controller to vehicle location information.
2. a kind of track according to claim 1 vehicle flow statistical system, it is characterized in that: also comprise office terminal, described office terminal is connected with server by communication system, for managing the operation of whole system.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201520277873.7U CN204576794U (en) | 2015-05-04 | 2015-05-04 | A kind of track vehicle flow statistical system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201520277873.7U CN204576794U (en) | 2015-05-04 | 2015-05-04 | A kind of track vehicle flow statistical system |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN204576794U true CN204576794U (en) | 2015-08-19 |
Family
ID=53869399
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201520277873.7U Expired - Fee Related CN204576794U (en) | 2015-05-04 | 2015-05-04 | A kind of track vehicle flow statistical system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN204576794U (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104835321A (en) * | 2015-05-04 | 2015-08-12 | 石立公 | Lane vehicle flow statistical system and lane vehicle flow statistical method |
| CN113053137A (en) * | 2019-12-27 | 2021-06-29 | 丰田自动车株式会社 | Vehicle information acquisition device, system, method, and vehicle information acquisition program |
-
2015
- 2015-05-04 CN CN201520277873.7U patent/CN204576794U/en not_active Expired - Fee Related
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104835321A (en) * | 2015-05-04 | 2015-08-12 | 石立公 | Lane vehicle flow statistical system and lane vehicle flow statistical method |
| CN113053137A (en) * | 2019-12-27 | 2021-06-29 | 丰田自动车株式会社 | Vehicle information acquisition device, system, method, and vehicle information acquisition program |
| CN113053137B (en) * | 2019-12-27 | 2023-01-13 | 丰田自动车株式会社 | Vehicle information acquisition device, system, method, and vehicle information acquisition program |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN104851311A (en) | Real-time lane congestion display system and display method thereof | |
| CN104851291A (en) | Real-time lane congestion index analysis system and analysis method thereof | |
| CN103985247B (en) | Taxi Transport capacity dispatching system based on city chauffeur demand distribution density | |
| CN104880193A (en) | Lane-level navigation system and lane-level navigation method thereof | |
| CN104835321A (en) | Lane vehicle flow statistical system and lane vehicle flow statistical method | |
| CN100568293C (en) | The method of GPS locating information and electronic map charging section coupling | |
| CN105005959A (en) | Bus passenger flow volume calculation and statistical analysis method with characteristic attributes | |
| CN102346041B (en) | Route planning method and service equipment based on real-time road condition | |
| CN101673460B (en) | Traffic information quality evaluation method, device and system therefor | |
| CN102663887A (en) | Implementation system and method for cloud calculation and cloud service of road traffic information based on technology of internet of things | |
| CN102346042B (en) | Real time road condition based route planning method and service equipment thereof | |
| CN103794061A (en) | Method for calculating road fused travel speed based on various positioning data | |
| CN103714696B (en) | High-speed transit information access disposal system | |
| CN111882867A (en) | City wisdom traffic early warning system based on thing networking | |
| CN104867188B (en) | A kind of devices, systems, and methods of taxi charging | |
| CN107240289A (en) | A kind of bus routes optimum management method and system | |
| CN103010265B (en) | Be applicable to the static train locating method of CBTC system | |
| CN101086449B (en) | Navigation device dynamic target tracking method | |
| CN108171968A (en) | The road condition analyzing system and method for position data based on mobile terminal device signaling | |
| CN106530748A (en) | Roadway congestion index prediction system and method | |
| CN104217588A (en) | Method, server and system for acquiring real-time traffic information | |
| CN113888857A (en) | Public transportation management system, device and method based on Internet of vehicles | |
| CN202996022U (en) | Traffic condition sensing system employing Bluetooth technology | |
| CN104835331A (en) | Signal lamp dispatching system and signal lamp dispatching method thereof | |
| CN105857349A (en) | Precise train positioning system based on comprehensive positioning |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C14 | Grant of patent or utility model | ||
| GR01 | Patent grant | ||
| CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20150819 Termination date: 20200504 |
|
| CF01 | Termination of patent right due to non-payment of annual fee |