CN104751665A - Dangerous road section analysis method and dangerous road section analysis device - Google Patents
Dangerous road section analysis method and dangerous road section analysis device Download PDFInfo
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- CN104751665A CN104751665A CN201310731159.6A CN201310731159A CN104751665A CN 104751665 A CN104751665 A CN 104751665A CN 201310731159 A CN201310731159 A CN 201310731159A CN 104751665 A CN104751665 A CN 104751665A
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/09—Arrangements for giving variable traffic instructions
- G08G1/0962—Arrangements for giving variable traffic instructions having an indicator mounted inside the vehicle, e.g. giving voice messages
- G08G1/0967—Systems involving transmission of highway information, e.g. weather, speed limits
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Abstract
The invention provides a dangerous road section analysis method and a dangerous road section analysis device. The method comprises the steps of receiving driving data uploaded by multiple vehicles, analyzing the driving data and confirming a road section as a dangerous road section if the number of vehicles suffering from a sudden driving condition on the road section exceeds a preset threshold, and sending prompt information to vehicles entering or driving to the dangerous road section. By adopting the method and the device of the invention, a dangerous road section can be confirmed automatically, and passing vehicles can be reminded in time.
Description
Technical field
The present invention relates to onboard navigation system, particularly relate to a kind of Dangerous Area analytical approach and device.
Background technology
For vehicle operator, the factor affecting driving experience is a lot, and wherein the correlative factor on way road surface occupies very large proportion.Such as, road construction, falling rocks, the situation such as to collapse are all often bursts, and the very first time often can not be learnt this kind of emergency situations by vehicle supervision department, makes vehicular traffic cannot learn dangerous situation in time.In order to confirm the emergency situations of pavement of road, often need to monitor by camera, or arrange personal monitoring point detect, human and material resources cost is higher.
Summary of the invention
The technical problem to be solved in the present invention is to provide a kind of Dangerous Area analytical approach and device, automatically can confirm Dangerous Area, notes to remind vehicular traffic in time.
For solving the problems of the technologies described above, the invention provides a kind of Dangerous Area analytical approach, comprising:
Receive the driving data that multiple vehicle is uploaded;
Described driving data is analyzed, if the vehicle fleet size that burst driving condition occurs in a section exceedes predetermined threshold value, then Dangerous Area is confirmed as in this section;
Information is sent to the vehicle entering or drive towards this Dangerous Area.
According to one embodiment of present invention, when described driving data is analyzed, the driving data that shielding vehicle is uploaded at crossing place.
According to one embodiment of present invention, whether the driving data that described vehicle is uploaded comprises the speed of a motor vehicle, acceleration, whether lane change, takes a sudden turn, or its combination in any of braking in data.
According to one embodiment of present invention, the vehicle fleet size that burst driving condition occurs exceedes predetermined threshold value and comprises:
The quantity of the vehicle of brake exceedes first threshold;
Acceleration exceedes the quantity of the vehicle of Second Threshold more than the 3rd threshold value;
The quantity of the vehicle of lane change is more than the 4th threshold value; And/or
The quantity of the vehicle of zig zag is more than the 5th threshold value.
According to one embodiment of present invention, described information comprises: the position of this Dangerous Area, apart from the distance value of this Dangerous Area and/or time of arrival.
Present invention also offers a kind of Dangerous Area analytical equipment, comprising:
Data reception module, for receiving the driving data that multiple vehicle is uploaded;
Data analysis module, for analyzing described driving data, if the vehicle fleet size that burst driving condition occurs in a section exceedes predetermined threshold value, then confirms as Dangerous Area by this section;
Reminding module, for sending information to the vehicle entering or drive towards this Dangerous Area.
According to one embodiment of present invention, when described data analysis module is analyzed described driving data, the driving data that shielding vehicle is uploaded at crossing place.
According to one embodiment of present invention, whether the driving data that described data reception module receives comprises the speed of a motor vehicle, acceleration, whether lane change, takes a sudden turn, or its combination in any of braking in data.
According to one embodiment of present invention, the vehicle fleet size that burst driving condition occurs exceedes predetermined threshold value and comprises:
The quantity of the vehicle of brake exceedes first threshold;
Acceleration exceedes the quantity of the vehicle of Second Threshold more than the 3rd threshold value;
The quantity of the vehicle of lane change is more than the 4th threshold value; And/or
The quantity of the vehicle of zig zag is more than the 5th threshold value.
According to one embodiment of present invention, described information comprises: the position of this Dangerous Area, apart from the distance value of this Dangerous Area and/or time of arrival.
Compared with prior art, the present invention has the following advantages:
In the Dangerous Area analytical approach of the embodiment of the present invention and device, the driving data that vehicle is uploaded is analyzed, if the vehicle fleet size that burst driving condition occurs in certain section exceedes predetermined threshold value, just Dangerous Area is confirmed as in this section, and information is sent to the vehicle entering or drive towards this Dangerous Area, with call user's attention, make user can evade in time or take other measures.
Accompanying drawing explanation
Fig. 1 is the schematic flow sheet of the Dangerous Area analytical approach of the embodiment of the present invention;
Fig. 2 is the structured flowchart of the Dangerous Area analytical equipment of the embodiment of the present invention.
Embodiment
Below in conjunction with specific embodiments and the drawings, the invention will be further described, but should not limit the scope of the invention with this.
With reference to figure 1, the Dangerous Area analytical approach of the present embodiment comprises the steps:
Step S11, receives the driving data that multiple vehicle is uploaded;
Step S12, analyzes described driving data, if the vehicle fleet size that burst driving condition occurs in a section exceedes predetermined threshold value, then Dangerous Area is confirmed as in this section;
Step S13, sends information to the vehicle entering or drive towards this Dangerous Area.
In step S11, driving data can be uploaded by the car machine be arranged on vehicle, such as in vehicle travel process, car machine can obtain the driving data of vehicle by sensor and/or wagon control bus (such as CAN), then uploaded by communications such as 3G network, 4G networks, such as, can be uploaded to cloud server analysis.Whether this driving data includes but not limited to the speed of a motor vehicle, acceleration, whether lane change, takes a sudden turn, or wherein multiple combination in any of braking in data.
Uploading of driving data can be carried out in real time, or also can carry out by interval Preset Time.Such as, car machine can by driving data buffer memory in memory, and each Preset Time is by the data upload of buffer memory.
In step S12, the driving data uploaded is analyzed, judge whether whether to have in the driving data of a large amount of vehicle in a certain section and all there is burst driving condition, whether such as a certain section has interim, burst, a large amount of vehicle brake data upload, if there is this situation, so Dangerous Area can be confirmed as in this section.
Furthermore, can judge whether the vehicle fleet size that burst driving condition occurs exceedes predetermined threshold value, such as can the driving data uploaded be analyzed, judge whether the quantity of the vehicle braked in a certain section exceedes default first threshold, namely judged whether that a large amount of vehicle all brakes in this section; Judge whether the quantity exceeding the vehicle of Second Threshold at a certain section acceleration exceedes the 3rd default threshold value, has namely judged whether a large amount of vehicle all at the unexpected acceleration or deceleration in this section; Judge whether exceed the 4th default threshold value in the quantity of the vehicle of a certain section lane change, namely judged whether a large amount of vehicle all in this section lane change; Judge that whether the quantity of the vehicle taken a sudden turn in a certain section is more than the 5th threshold value, namely judged whether that a large amount of vehicle all takes a sudden turn in this section.If one or more in above-mentioned condition is met, so just can judge that this section belongs to Dangerous Area, such as hot work in progress, have falling rocks, have and subside.
Such as, in the routine craspedodrome section at a non-crossing, if the driving data uploaded shows that the operation of brake, lane change all taked by vehicular traffic in this section, so often show this section possibility hot work in progress, or there is burst collapsed condition on road surface, Dangerous Area can be regarded as.
As a preferred embodiment, when judging Dangerous Area to driving data analysis, the driving data that vehicle is uploaded at crossing place can be shielded in advance.Owing to often needing to do the operations such as lane change, brake, turning at crossing place, therefore this part data mask to be fallen, to avoid crossing erroneous judgement to be decided to be Dangerous Area.
After confirmation Dangerous Area, information can be sent to the vehicle entering or drive towards this Dangerous Area.Such as, can search for the regional extent of the pre-set radius of Dangerous Area, find and enter or close to the vehicle of this Dangerous Area, after finding, send information to these vehicles.
The content of information can comprise Dangerous Area position, apart from this Dangerous Area distance value, arrive time one of them or the combination in any of this Dangerous Area, but be not limited to this.
Such as, if the vehicle receiver in travelling is to this information, showing section, front is Dangerous Area, possible hot work in progress, and so user just can Reroute in time, to avoid blocking up or the generation of unsafe condition.
As above, adopt the Dangerous Area analytical approach of above-described embodiment, can, when without the need to detecting by camera, manually not reporting, according to driving data automatic analysis determination Dangerous Area, and remind vehicular traffic to note in time.
With reference to figure 2, the Dangerous Area analytical equipment 20 of the present embodiment comprises data reception module 201, data analysis module 202 and reminding module 203.
Wherein, data reception module 201 can receive the driving data that multiple vehicle is uploaded; Data analysis module 202 can be analyzed the driving data uploaded, if the vehicle fleet size that burst driving condition occurs in a section exceedes predetermined threshold value, then Dangerous Area is confirmed as in this section; Reminding module 203 can send information to the vehicle entering or drive towards this Dangerous Area.
About the more information of this Dangerous Area analytical equipment 20, refer to the associated description about Dangerous Area analytical approach in previous embodiment, repeat no more here.
This Dangerous Area analytical equipment 20 such as can be integrated in cloud server inside, can should be coupled with cloud server by communications such as 3G network, 4G networks with the car machine be arranged in vehicle.
The modules of this Dangerous Area analytical equipment 20 and inside thereof can adopt the mode of software program to realize; Also special or common hardware can be adopted to realize, such as, adopt special IC (ASIC) or field programmable gate array (FPGA) to realize; Or, also can adopt the mode of software and hardware combining to realize, such as, adopt processor to realize in conjunction with the embedded system of peripheral circuit and embedded program.
Although the present invention with preferred embodiment openly as above; but it is not for limiting the present invention; any those skilled in the art without departing from the spirit and scope of the present invention; can make possible variation and amendment, the scope that therefore protection scope of the present invention should define with the claims in the present invention is as the criterion.
Claims (10)
1. a Dangerous Area analytical approach, is characterized in that, comprising:
Receive the driving data that multiple vehicle is uploaded;
Described driving data is analyzed, if the vehicle fleet size that burst driving condition occurs in a section exceedes predetermined threshold value, then Dangerous Area is confirmed as in this section;
Information is sent to the vehicle entering or drive towards this Dangerous Area.
2. Dangerous Area analytical approach according to claim 1, is characterized in that, when described driving data is analyzed, and the driving data that shielding vehicle is uploaded at crossing place.
3. Dangerous Area analytical approach according to claim 1, is characterized in that, whether the driving data that described vehicle is uploaded comprises the speed of a motor vehicle, acceleration, whether lane change, takes a sudden turn, or its combination in any of braking in data.
4. Dangerous Area analytical approach according to claim 1, is characterized in that, the vehicle fleet size that burst driving condition occurs exceedes predetermined threshold value and comprises:
The quantity of the vehicle of brake exceedes first threshold;
Acceleration exceedes the quantity of the vehicle of Second Threshold more than the 3rd threshold value;
The quantity of the vehicle of lane change is more than the 4th threshold value; And/or
The quantity of the vehicle of zig zag is more than the 5th threshold value.
5. Dangerous Area analytical approach according to claim 1, is characterized in that, described information comprises: the position of this Dangerous Area, apart from the distance value of this Dangerous Area and/or time of arrival.
6. a Dangerous Area analytical equipment, is characterized in that, comprising:
Data reception module, for receiving the driving data that multiple vehicle is uploaded;
Data analysis module, for analyzing described driving data, if the vehicle fleet size that burst driving condition occurs in a section exceedes predetermined threshold value, then confirms as Dangerous Area by this section;
Reminding module, for sending information to the vehicle entering or drive towards this Dangerous Area.
7. Dangerous Area analytical equipment according to claim 6, is characterized in that, when described data analysis module is analyzed described driving data, and the driving data that shielding vehicle is uploaded at crossing place.
8. Dangerous Area analytical equipment according to claim 6, is characterized in that, whether the driving data that described data reception module receives comprises the speed of a motor vehicle, acceleration, whether lane change, takes a sudden turn, or its combination in any of braking in data.
9. Dangerous Area analytical equipment according to claim 6, is characterized in that, the vehicle fleet size that burst driving condition occurs exceedes predetermined threshold value and comprises:
The quantity of the vehicle of brake exceedes first threshold;
Acceleration exceedes the quantity of the vehicle of Second Threshold more than the 3rd threshold value;
The quantity of the vehicle of lane change is more than the 4th threshold value; And/or
The quantity of the vehicle of zig zag is more than the 5th threshold value.
10. Dangerous Area analytical equipment according to claim 6, is characterized in that, described information comprises: the position of this Dangerous Area, apart from the distance value of this Dangerous Area and/or time of arrival.
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Cited By (16)
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CN105931461A (en) * | 2016-06-01 | 2016-09-07 | 乐视控股(北京)有限公司 | Traffic condition early warning method, device and server |
CN106935052A (en) * | 2015-12-30 | 2017-07-07 | 沈阳美行科技有限公司 | A kind of speed change reminding method and device based on running data |
JP2017146933A (en) * | 2016-02-19 | 2017-08-24 | 住友電気工業株式会社 | Information processing device, on-vehicle device, storage medium, and computer program |
CN107316006A (en) * | 2017-06-07 | 2017-11-03 | 北京京东尚科信息技术有限公司 | A kind of method and system of road barricade analyte detection |
CN107886714A (en) * | 2016-09-30 | 2018-04-06 | 武汉四维图新科技有限公司 | A kind of Dangerous Area decision method and road analysis method and device |
CN108369774A (en) * | 2015-12-08 | 2018-08-03 | 奥迪股份公司 | Method and motor vehicle for the driver of auxiliary machine motor-car in terms of the passing maneuver that will be carried out |
CN108735000A (en) * | 2018-06-22 | 2018-11-02 | 南京慧尔视智能科技有限公司 | A kind of energy prevention group mist leads to the method and system of traffic accidents |
CN109285320A (en) * | 2018-05-28 | 2019-01-29 | 惠州市德赛西威汽车电子股份有限公司 | A kind of cloud processing method for fatigue driving |
CN110497905A (en) * | 2019-08-29 | 2019-11-26 | 三星电子(中国)研发中心 | Method for controlling a vehicle and device |
CN110706485A (en) * | 2019-09-30 | 2020-01-17 | 上海商汤临港智能科技有限公司 | Driving early warning method and device, electronic equipment and computer storage medium |
CN111508226A (en) * | 2019-01-31 | 2020-08-07 | 阿里巴巴集团控股有限公司 | Method and device for evaluating passing order of road motor vehicles |
CN112133084A (en) * | 2019-06-25 | 2020-12-25 | 浙江吉智新能源汽车科技有限公司 | Road information sharing method, device and system |
CN112991794A (en) * | 2019-12-17 | 2021-06-18 | 神达数位股份有限公司 | Method, server, memory and chip for identifying dangerous road and sharing information |
CN113223270A (en) * | 2021-04-26 | 2021-08-06 | 西安建筑科技大学 | Fatigue driving monitoring, reminding and early warning method and system based on computer vision technology |
CN113799781A (en) * | 2020-06-16 | 2021-12-17 | 丰田自动车株式会社 | Information processing device, program, and information processing method |
CN114368388A (en) * | 2022-01-28 | 2022-04-19 | 中国第一汽车股份有限公司 | Driving behavior analysis method, device, equipment and storage medium |
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Cited By (22)
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CN106935052A (en) * | 2015-12-30 | 2017-07-07 | 沈阳美行科技有限公司 | A kind of speed change reminding method and device based on running data |
CN106935052B (en) * | 2015-12-30 | 2020-12-18 | 沈阳美行科技有限公司 | Speed change prompting method and device based on driving data |
JP2017146933A (en) * | 2016-02-19 | 2017-08-24 | 住友電気工業株式会社 | Information processing device, on-vehicle device, storage medium, and computer program |
CN105931461A (en) * | 2016-06-01 | 2016-09-07 | 乐视控股(北京)有限公司 | Traffic condition early warning method, device and server |
CN107886714A (en) * | 2016-09-30 | 2018-04-06 | 武汉四维图新科技有限公司 | A kind of Dangerous Area decision method and road analysis method and device |
CN107316006A (en) * | 2017-06-07 | 2017-11-03 | 北京京东尚科信息技术有限公司 | A kind of method and system of road barricade analyte detection |
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CN108735000A (en) * | 2018-06-22 | 2018-11-02 | 南京慧尔视智能科技有限公司 | A kind of energy prevention group mist leads to the method and system of traffic accidents |
CN111508226A (en) * | 2019-01-31 | 2020-08-07 | 阿里巴巴集团控股有限公司 | Method and device for evaluating passing order of road motor vehicles |
CN111508226B (en) * | 2019-01-31 | 2022-03-29 | 阿里巴巴集团控股有限公司 | Method and device for evaluating passing order of road motor vehicles |
CN112133084A (en) * | 2019-06-25 | 2020-12-25 | 浙江吉智新能源汽车科技有限公司 | Road information sharing method, device and system |
CN112133084B (en) * | 2019-06-25 | 2022-04-12 | 浙江吉智新能源汽车科技有限公司 | Road information sharing method, device and system |
CN110497905A (en) * | 2019-08-29 | 2019-11-26 | 三星电子(中国)研发中心 | Method for controlling a vehicle and device |
CN110706485A (en) * | 2019-09-30 | 2020-01-17 | 上海商汤临港智能科技有限公司 | Driving early warning method and device, electronic equipment and computer storage medium |
CN112991794A (en) * | 2019-12-17 | 2021-06-18 | 神达数位股份有限公司 | Method, server, memory and chip for identifying dangerous road and sharing information |
CN112991794B (en) * | 2019-12-17 | 2024-04-16 | 神达数位股份有限公司 | Method for identifying dangerous roads and information sharing, server, memory and chip |
CN113799781A (en) * | 2020-06-16 | 2021-12-17 | 丰田自动车株式会社 | Information processing device, program, and information processing method |
CN113223270A (en) * | 2021-04-26 | 2021-08-06 | 西安建筑科技大学 | Fatigue driving monitoring, reminding and early warning method and system based on computer vision technology |
CN113223270B (en) * | 2021-04-26 | 2023-02-28 | 西安建筑科技大学 | Fatigue driving monitoring, reminding and early warning method and system based on computer vision technology |
CN114368388A (en) * | 2022-01-28 | 2022-04-19 | 中国第一汽车股份有限公司 | Driving behavior analysis method, device, equipment and storage medium |
CN114368388B (en) * | 2022-01-28 | 2024-05-03 | 中国第一汽车股份有限公司 | Driving behavior analysis method, device, equipment and storage medium |
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