CN104240527A - Road condition early warning method and device - Google Patents
Road condition early warning method and device Download PDFInfo
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- CN104240527A CN104240527A CN201410456514.8A CN201410456514A CN104240527A CN 104240527 A CN104240527 A CN 104240527A CN 201410456514 A CN201410456514 A CN 201410456514A CN 104240527 A CN104240527 A CN 104240527A
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Abstract
The invention discloses a road condition early warning method and device. In the advancing process of vehicles or pedestrians, the road condition is detected according to changes of the vertical acceleration so as to establish road condition information of a target area, according to the established road condition information, early warning indication is provided for vehicles or pedestrians passing through the target area again, and therefore the vehicles or pedestrians can detour or make preparation for climbing a slope or getting down a slope.
Description
Technical field
The present invention relates to road traffic technical field, particularly relate to a kind of crossing detection method and device.
Background technology
Current navigation software, when for user's recommended route, being absorbed in operating range, traffic congestion etc., there is blind area in the consideration for road conditions.
Certain customers select travel route to lay particular emphasis on comfort level, and are not eager to make up for lost time, or are loaded with breakables, are unsuitable for travelling on the road surface of jolting, or even walking by bike, and the requirement of road pavement is more smooth better.But, in remote mountain area, the city being located in undulating topography, or spread all over the city of overpass and subterranean tunnel, the road surface of ascents and descents is scattered on each bar road, existing navigation software but cannot provide and effectively help to avoid this road surface, drastically influence the trip of the high user of road pavement flatness requirement.
Summary of the invention
Based on above-mentioned situation, the present invention proposes a kind of road conditions method for early warning and device, detect road conditions, and before advancing to climb and fall, send alarm.For this reason, the scheme of employing is as follows.
A kind of road conditions method for early warning, comprises step:
Download the traffic information of target area, and according to the traffic information downloaded advance to domatic near time, send early warning to user in advance;
If the traffic information of target area is not yet set up, then perform following step:
On road in traveling process, monitor the normal acceleration of advancing, described normal acceleration is perpendicular to the acceleration on direction, ground;
When fluctuation appears in normal acceleration, current location is labeled as domatic;
The domatic mark of statistics target area every bar road, forms the traffic information of target area.
A kind of road conditions prior-warning device, comprising:
Road conditions prewarning unit, for downloading the traffic information of target area, and according to download traffic information advance to domatic near time, send early warning to user in advance;
Road conditions creating unit, for when the traffic information of target area is not set up, creates the traffic information of target area, comprises with lower module:
Normal acceleration detection module, in traveling process on road, monitor the normal acceleration of advancing, described normal acceleration is perpendicular to the acceleration on direction, ground;
Domatic mark module, for when fluctuation appears in normal acceleration, is labeled as domatic by current location;
Road conditions statistical module, for adding up the domatic mark of target area every bar road, forms the traffic information of target area.
Road conditions method for early warning of the present invention and device, in traveling process, situation of change according to normal acceleration detects road conditions, thus set up the traffic information of target area, according to the traffic information set up, namely the vehicles or pedestrians that can be again through target area provide early warning, so that vehicles or pedestrians detour travel or carry out the preparation of climb and fall.
Accompanying drawing explanation
Fig. 1 is the schematic flow sheet of road conditions method for early warning of the present invention;
Fig. 2 is the structural representation of road conditions prior-warning device of the present invention.
Embodiment
In order to make object of the present invention, technical scheme and advantage clearly understand, below in conjunction with drawings and Examples, the present invention is described in further detail.Should be appreciated that embodiment described herein only in order to explain the present invention, do not limit protection scope of the present invention.
Road conditions method for early warning of the present invention, as shown in Figure 1, comprises step:
Step s101, download the traffic information of target area, and according to the traffic information downloaded advance to domatic near time, send early warning to user in advance.
Before travel, first logon server, whether query target region exists the traffic information established to user, if establish, then directly downloads, and the traffic information of download comprises domatic geographic position.Pedestrian in advancing or vehicle need carry orientation tool, this method is by the domatic location comparison in current location and traffic information, when advancing to apart from certain domatic preset distance, then eject warning information, user makes the decision whether changing travel route according to warning information.
If step s102 target area belongs to the less region of attention rate, its traffic information is not yet set up, then perform following step to create the traffic information in this region.
Step s1021, on road in traveling process, monitor the normal acceleration of advancing.
Pedestrian in advancing or the acceleration of vehicle are divided into horizontal acceleration and normal acceleration, and relevant with landform is normal acceleration, namely perpendicular to the acceleration on direction, ground.This method follows the tracks of the change of normal acceleration just, and infers road conditions according to change.
Step s1022, when normal acceleration occur fluctuation time, current location is labeled as domatic.
On smooth road surface, normal acceleration is fixed value, and when landform changes, normal acceleration becomes large or diminish (when not applying external force), and after road surface recovery is smooth, normal acceleration also falls back to original value.According to this rule, when fluctuation appears in normal acceleration, regard as domatic by current location, row labels of going forward side by side.
The domatic mark of step s1023, statistics target area every bar road, forms the traffic information of target area.
Add up the domatic mark on a road, obtain the traffic information of this road, in statistical regions, the domatic mark of all roads, then obtain the traffic information in this region, thus complete the foundation of target area traffic information.After this, user directly can download and use the traffic information in this region.
User except wonder front whether have domatic except, also want to understand domatic whether very steep, be go up a slope or descending etc., this is just related to two domatic principal characters, in order to gather this two principal characters, preferably adopts following methods.
Step s201, when fluctuation appears in normal acceleration, sampling also computation of mean values is carried out to normal acceleration;
Step s202, with the normal acceleration in flat road surface for reference point, calculate the difference of described average and described reference point;
If the described difference of step s203 is positive number, then assert current domatic for descending, if described difference is negative, then assert current domatic for going up a slope;
Step s204, characterize domatic roughness by the size of the absolute value of described difference;
Step s205, by roughness, upward slope or descending, and current direct of travel is as domatic characteristic information, and unified mark is to current location.
Normal acceleration during descending is greater than normal acceleration during smooth ground, and large more, domatic steeper; Normal acceleration during upward slope is less than normal acceleration during smooth ground, and little more, domatic steeper.This programme utilize this rule judge current domatic be go up a slope or descending, and by the absolute value of the difference of normal acceleration when current vertical acceleration and the smooth ground parameter as roughness, mark in the lump and arrive current location.Because climb and fall is relevant with direct of travel, thus also record direct of travel.
According to preceding method, obtain each domatic described average, each domatic described average on statistics whole piece circuit, calculates the average of described average, characterizes the roughness of this circuit by gained average.User can also set starting point, and our rule can from current route, select domatic mark minimum and the route that roughness is minimum as the most smooth route recommendation to user.
The acquisition of normal acceleration has a variety of method, preferably, carries an acceleration transducer, then directly obtain normal acceleration from acceleration transducer in vehicles or pedestrians traveling process.
It should be noted that, normal acceleration as herein described should be the normal acceleration that vehicles or pedestrians only produce under gravity, if be applied with external force in climb and fall process, as braked or stepping on the gas, then judged result will occur error.
Road conditions prior-warning device of the present invention is corresponding with above-mentioned method for early warning, as shown in Figure 2, comprising:
Road conditions prewarning unit, for downloading the traffic information of target area, and according to download traffic information advance to domatic near time, send early warning to user in advance;
Road conditions creating unit, for when the traffic information of target area is not set up, creates the traffic information of target area, comprises with lower module:
Normal acceleration detection module, in traveling process on road, monitor the normal acceleration of advancing, described normal acceleration is perpendicular to the acceleration on direction, ground;
Domatic mark module, for when fluctuation appears in normal acceleration, is labeled as domatic by current location;
Road conditions statistical module, for adding up the domatic mark of target area every bar road, forms the traffic information of target area.
As a preferred embodiment, described domatic mark module also for:
When fluctuation appears in normal acceleration, sampling is carried out and computation of mean values to normal acceleration;
With the normal acceleration in flat road surface for reference point, calculate the difference of described average and described reference point; If described difference is positive number, then assert current domatic for descending, if described difference is negative, then assert current domatic for going up a slope;
Domatic roughness is characterized by the size of the absolute value of described difference;
By roughness, upward slope or descending, and current direct of travel is as domatic characteristic information, and unified mark is to current location.
As a preferred embodiment, this device can also comprise circuit roughness estimation block, for adding up each domatic described average on whole piece circuit, calculating the average of described average, characterizing the roughness of this circuit by gained average; Circuit recommendation module, in all transit route between the starting point that sets from user, select domatic mark minimum and the route that roughness is minimum as the most smooth route recommendation to user.
As a preferred embodiment, acceleration transducer is utilized to obtain described normal acceleration.
As a preferred embodiment, acceleration transducer collection be the normal accelerations of vehicles or pedestrians when not applying external force.
To sum up, road conditions method for early warning of the present invention and device, detect road conditions in advance according to normal acceleration, for the vehicles or pedestrians again through same section provide domatic early warning, so that vehicles or pedestrians make counter-measure in time.
The above embodiment only have expressed several embodiment of the present invention, and it describes comparatively concrete and detailed, but therefore can not be interpreted as the restriction to the scope of the claims of the present invention.It should be pointed out that for the person of ordinary skill of the art, without departing from the inventive concept of the premise, can also make some distortion and improvement, these all belong to protection scope of the present invention.Therefore, the protection domain of patent of the present invention should be as the criterion with claims.
Claims (10)
1. a road conditions method for early warning, is characterized in that, comprises step:
Download the traffic information of target area, and according to the traffic information downloaded advance to domatic near time, send early warning to user in advance;
If the traffic information of target area is not yet set up, then perform following step:
On road in traveling process, monitor the normal acceleration of advancing, described normal acceleration is perpendicular to the acceleration on direction, ground;
When fluctuation appears in normal acceleration, current location is labeled as domatic;
The domatic mark of statistics target area every bar road, forms the traffic information of target area.
2. road conditions method for early warning according to claim 1, is characterized in that, also comprise step:
When fluctuation appears in normal acceleration, sampling is carried out and computation of mean values to normal acceleration;
With the normal acceleration in flat road surface for reference point, calculate the difference of described average and described reference point;
If described difference is positive number, then assert current domatic for descending, if described difference is negative, then assert current domatic for going up a slope;
Domatic roughness is characterized by the size of the absolute value of described difference;
By roughness, upward slope or descending, and current direct of travel is as domatic characteristic information, and unified mark is to current location.
3. road conditions method for early warning according to claim 2, is characterized in that, also comprise step:
Each domatic described average on statistics whole piece circuit, calculates the average of described average, characterizes the roughness of this circuit by gained average;
From user setting starting point between all transit route, select domatic mark minimum and the route that roughness is minimum as the most smooth route recommendation to user.
4. the road conditions method for early warning according to claim 1 or 2 or 3, is characterized in that,
Acceleration transducer is utilized to obtain described normal acceleration.
5. road conditions method for early warning according to claim 4, is characterized in that,
Acceleration transducer collection be the normal accelerations of vehicles or pedestrians when not applying external force.
6. a road conditions prior-warning device, is characterized in that, comprising:
Road conditions prewarning unit, for downloading the traffic information of target area, and according to download traffic information advance to domatic near time, send early warning to user in advance;
Road conditions creating unit, for when the traffic information of target area is not set up, creates the traffic information of target area, comprises with lower module:
Normal acceleration detection module, in traveling process on road, monitor the normal acceleration of advancing, described normal acceleration is perpendicular to the acceleration on direction, ground;
Domatic mark module, for when fluctuation appears in normal acceleration, is labeled as domatic by current location;
Road conditions statistical module, for adding up the domatic mark of target area every bar road, forms the traffic information of target area.
7. road conditions prior-warning device according to claim 6, is characterized in that,
Described domatic mark module also for:
When fluctuation appears in normal acceleration, sampling is carried out and computation of mean values to normal acceleration;
With the normal acceleration in flat road surface for reference point, calculate the difference of described average and described reference point; If described difference is positive number, then assert current domatic for descending, if described difference is negative, then assert current domatic for going up a slope;
Domatic roughness is characterized by the size of the absolute value of described difference;
By roughness, upward slope or descending, and current direct of travel is as domatic characteristic information, and unified mark is to current location.
8. road conditions prior-warning device according to claim 7, is characterized in that,
Also comprise circuit roughness estimation block, for adding up each domatic described average on whole piece circuit, calculating the average of described average, characterizing the roughness of this circuit by gained average;
Circuit recommendation module, in all transit route between the starting point that sets from user, select domatic mark minimum and the route that roughness is minimum as the most smooth route recommendation to user.
9. the road conditions prior-warning device according to claim 6 or 7 or 8, is characterized in that,
Acceleration transducer is utilized to obtain described normal acceleration.
10. road conditions prior-warning device according to claim 9, is characterized in that,
Acceleration transducer collection be the normal accelerations of vehicles or pedestrians when not applying external force.
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| Application Number | Priority Date | Filing Date | Title |
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| CN201410456514.8A CN104240527A (en) | 2014-09-09 | 2014-09-09 | Road condition early warning method and device |
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| CN201410456514.8A CN104240527A (en) | 2014-09-09 | 2014-09-09 | Road condition early warning method and device |
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Cited By (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105894843A (en) * | 2015-02-17 | 2016-08-24 | 赫克斯冈技术中心 | Method and system for determining a road condition |
| CN107883975A (en) * | 2017-10-25 | 2018-04-06 | 张逸哲 | A kind of method and system that pavement behavior is identified in navigation way |
| CN108369778A (en) * | 2015-11-19 | 2018-08-03 | 华为技术有限公司 | A kind of air navigation aid and equipment |
| CN108896063A (en) * | 2018-05-31 | 2018-11-27 | 同济大学 | A kind of identification of gyroscope road condition and reminding method based on bus or train route collaboration |
| CN109830125A (en) * | 2019-01-08 | 2019-05-31 | 沈阳无距科技有限公司 | Information cuing method, device, storage medium and electronic equipment |
| CN110020686A (en) * | 2019-04-10 | 2019-07-16 | 浙江大学城市学院 | A kind of road surface method for detecting abnormality based on intelligent perception sensing data |
| CN110070719A (en) * | 2019-05-08 | 2019-07-30 | 新华三技术有限公司 | A kind of license event detection method and device |
| CN110155066A (en) * | 2018-02-13 | 2019-08-23 | 阿里巴巴集团控股有限公司 | One kind is jolted detection, method for early warning, device, equipment and system |
| CN111739344A (en) * | 2020-06-29 | 2020-10-02 | 北京百度网讯科技有限公司 | Early warning method and device and electronic equipment |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101033976A (en) * | 2007-04-18 | 2007-09-12 | 江苏新科数字技术有限公司 | Method for prompting information of road condition of navigational instrument |
| CN101598549A (en) * | 2009-07-06 | 2009-12-09 | 北京航空航天大学 | A kind of vehicle running gradient and relative height method for dynamic estimation |
| CN102027320A (en) * | 2008-06-25 | 2011-04-20 | 通腾科技股份有限公司 | Navigation device and method for determining road-surface features |
| CN102298851A (en) * | 2010-06-23 | 2011-12-28 | 现代自动车株式会社 | Navigation system for vehicle and navigation service method for the same |
| JP2013131031A (en) * | 2011-12-21 | 2013-07-04 | Mitsubishi Fuso Truck & Bus Corp | Road surface gradient estimation device of trailer vehicle |
-
2014
- 2014-09-09 CN CN201410456514.8A patent/CN104240527A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101033976A (en) * | 2007-04-18 | 2007-09-12 | 江苏新科数字技术有限公司 | Method for prompting information of road condition of navigational instrument |
| CN102027320A (en) * | 2008-06-25 | 2011-04-20 | 通腾科技股份有限公司 | Navigation device and method for determining road-surface features |
| CN101598549A (en) * | 2009-07-06 | 2009-12-09 | 北京航空航天大学 | A kind of vehicle running gradient and relative height method for dynamic estimation |
| CN102298851A (en) * | 2010-06-23 | 2011-12-28 | 现代自动车株式会社 | Navigation system for vehicle and navigation service method for the same |
| JP2013131031A (en) * | 2011-12-21 | 2013-07-04 | Mitsubishi Fuso Truck & Bus Corp | Road surface gradient estimation device of trailer vehicle |
Cited By (13)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105894843B (en) * | 2015-02-17 | 2019-01-15 | 赫克斯冈技术中心 | For determining the method and system and computer readable storage medium of condition of road surface |
| CN105894843A (en) * | 2015-02-17 | 2016-08-24 | 赫克斯冈技术中心 | Method and system for determining a road condition |
| CN108369778A (en) * | 2015-11-19 | 2018-08-03 | 华为技术有限公司 | A kind of air navigation aid and equipment |
| CN107883975A (en) * | 2017-10-25 | 2018-04-06 | 张逸哲 | A kind of method and system that pavement behavior is identified in navigation way |
| CN110155066A (en) * | 2018-02-13 | 2019-08-23 | 阿里巴巴集团控股有限公司 | One kind is jolted detection, method for early warning, device, equipment and system |
| CN110155066B (en) * | 2018-02-13 | 2022-04-08 | 斑马智行网络(香港)有限公司 | Bump detection and early warning method, device, equipment and system |
| CN108896063A (en) * | 2018-05-31 | 2018-11-27 | 同济大学 | A kind of identification of gyroscope road condition and reminding method based on bus or train route collaboration |
| CN109830125A (en) * | 2019-01-08 | 2019-05-31 | 沈阳无距科技有限公司 | Information cuing method, device, storage medium and electronic equipment |
| CN110020686A (en) * | 2019-04-10 | 2019-07-16 | 浙江大学城市学院 | A kind of road surface method for detecting abnormality based on intelligent perception sensing data |
| CN110070719B (en) * | 2019-05-08 | 2021-01-08 | 新华三技术有限公司 | Traffic event detection method and device |
| CN110070719A (en) * | 2019-05-08 | 2019-07-30 | 新华三技术有限公司 | A kind of license event detection method and device |
| CN111739344A (en) * | 2020-06-29 | 2020-10-02 | 北京百度网讯科技有限公司 | Early warning method and device and electronic equipment |
| US11645909B2 (en) | 2020-06-29 | 2023-05-09 | Beijing Baidu Netcom Science Technology Co., Ltd. | Method, apparatus and electronic device for early-warning |
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Application publication date: 20141224 |