CN104325978A - Safety anti-collision early warning method based on vehicular ad-hoc network - Google Patents
Safety anti-collision early warning method based on vehicular ad-hoc network Download PDFInfo
- Publication number
- CN104325978A CN104325978A CN201410561883.3A CN201410561883A CN104325978A CN 104325978 A CN104325978 A CN 104325978A CN 201410561883 A CN201410561883 A CN 201410561883A CN 104325978 A CN104325978 A CN 104325978A
- Authority
- CN
- China
- Prior art keywords
- car
- vehicle
- radlat
- early warning
- radlon
- 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.)
- Pending
Links
- 238000000034 method Methods 0.000 title claims abstract description 29
- 230000006855 networking Effects 0.000 claims description 20
- 230000001133 acceleration Effects 0.000 claims description 12
- 238000004891 communication Methods 0.000 claims description 6
- 230000008569 process Effects 0.000 claims description 4
- 230000035484 reaction time Effects 0.000 claims description 4
- 230000010365 information processing Effects 0.000 claims description 2
- 238000010792 warming Methods 0.000 abstract 1
- 238000010586 diagram Methods 0.000 description 5
- 238000005516 engineering process Methods 0.000 description 3
- 230000008901 benefit Effects 0.000 description 2
- 230000007423 decrease Effects 0.000 description 2
- 230000004048 modification Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000009466 transformation Effects 0.000 description 1
- 238000000844 transformation Methods 0.000 description 1
Classifications
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
- B60W30/00—Purposes of road vehicle drive control systems not related to the control of a particular sub-unit, e.g. of systems using conjoint control of vehicle sub-units
- B60W30/08—Active safety systems predicting or avoiding probable or impending collision or attempting to minimise its consequences
- B60W30/095—Predicting travel path or likelihood of collision
- B60W30/0953—Predicting travel path or likelihood of collision the prediction being responsive to vehicle dynamic parameters
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
- B60W50/00—Details of control systems for road vehicle drive control not related to the control of a particular sub-unit, e.g. process diagnostic or vehicle driver interfaces
- B60W50/08—Interaction between the driver and the control system
- B60W50/14—Means for informing the driver, warning the driver or prompting a driver intervention
-
- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/16—Anti-collision systems
- G08G1/166—Anti-collision systems for active traffic, e.g. moving vehicles, pedestrians, bikes
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
- B60W50/00—Details of control systems for road vehicle drive control not related to the control of a particular sub-unit, e.g. process diagnostic or vehicle driver interfaces
- B60W2050/0001—Details of the control system
- B60W2050/0002—Automatic control, details of type of controller or control system architecture
- B60W2050/0014—Adaptive controllers
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
- B60W50/00—Details of control systems for road vehicle drive control not related to the control of a particular sub-unit, e.g. process diagnostic or vehicle driver interfaces
- B60W2050/0062—Adapting control system settings
- B60W2050/0075—Automatic parameter input, automatic initialising or calibrating means
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
- B60W2520/00—Input parameters relating to overall vehicle dynamics
- B60W2520/06—Direction of travel
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
- B60W2520/00—Input parameters relating to overall vehicle dynamics
- B60W2520/10—Longitudinal speed
- B60W2520/105—Longitudinal acceleration
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
- B60W2554/00—Input parameters relating to objects
- B60W2554/80—Spatial relation or speed relative to objects
- B60W2554/801—Lateral distance
Landscapes
- Engineering & Computer Science (AREA)
- Automation & Control Theory (AREA)
- Transportation (AREA)
- Mechanical Engineering (AREA)
- Human Computer Interaction (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Traffic Control Systems (AREA)
Abstract
The invention discloses a safety anti-collision early warning method based on a vehicular ad-hoc network. The method comprises the steps that a vehicle-mounted terminal obtains location information and running state information of a vehicle; the location information and the running state information of the vehicle are transmitted when the vehicle brakes; if the vehicle-mounted terminal monitors the location information and running state information of a vehicle ahead, the vehicle-mounted terminal calculates the actual distance between the two vehicles, the safety distance of the two vehicles and the danger coefficient; the vehicle-mounted terminal conducts early warming processing according to the magnitude of the danger coefficient and gives out voice prompts to a driver. The safety anti-collision early warning method based on the vehicular ad-hoc network is particularly applicable to vehicles which run on expressways, can improve running safety and can reduce collision accidents on the expressways.
Description
Technical field
The invention belongs to technical field of vehicle safety, be specifically related to a kind of safe anticollision method for early warning based on car networking.
Background technology
In car networking (Vehicular Ad-hoc Network, VANET), the vehicle of high-speed mobile, by the form Real-Time Sharing traffic information of wireless self-organization network, improves drive safety.
Recently, on express highway, frequent generation vehicle pileup accidents, brings huge economic loss to the country and people.How to improve traffic safety, reduce accident rate and become a vital problem.On a highway, accident is normally by front truck emergency braking, and rear car has little time to react and causes.This be because the speed of a motor vehicle on express highway is fast, spacing is far away, the impact of reaction time short and weather condition (as dense fog, heavy rain and heavy snow), chaufeur is often difficult to the running state noticing surrounding vehicles, finally leads to a disaster.
Summary of the invention
The object of the invention is to provide a kind of safe anticollision method for early warning based on car networking, is specially adapted to the vehicle of highway driving, can improves traffic safety, reduce the collision case of express highway.
For achieving the above object, technical scheme of the present invention is: a kind of safe anticollision method for early warning based on car networking, comprises the following steps:
(1) car-mounted terminal obtains location information and the running condition information of this car vehicle, when this car vehicle brake, sends location information and the running condition information of this car vehicle;
(2) if car-mounted terminal monitors location information and the running condition information of front vehicles, car-mounted terminal calculates the actual distance dis between two cars, the safety distance sd of two cars and danger coefficient β;
(3) car-mounted terminal carries out early warning process according to danger coefficient size, and sends voice message to chaufeur.
Preferably, described location information at least comprises longitude and latitude, ground course angle, time; Described running condition information at least comprises travel direction and acceleration/accel.
Preferably, the context of vehicle is drawn by following formula:
Wherein radLat1 and radLat2 represents the latitude of two cars respectively, radLon1 and radLon2 represents the longitude of two cars respectively, and Surfacecourse1 represents the ground course angle of this car vehicle, and R represents earth radius constant.
Preferably, described two car actual distance dis calculate according to the latitude and longitude coordinates of vehicle, and computing formula is:
Wherein, radLat1 and radLat2 represents the latitude of two cars respectively, radLon1 and radLon2 represents the longitude of two cars respectively, and R represents earth radius constant.
Preferably, the computing formula of the safety distance sd of described two cars is:
sd=T*|v
1-v
2|;
Wherein v
1this car speed of a motor vehicle, v
2be the front truck speed of a motor vehicle, T is the reaction time.
Preferably, described speed of a motor vehicle v calculates according to latitude and longitude coordinates, and computing formula is:
Wherein, t
2and t
1represent current time and last time respectively, radLat1 and radLat2 represents the latitude of a position and the latitude of current location respectively, radLon1 and radLon2 represents the longitude of a position and the longitude of current location respectively, and R represents earth radius constant.
Preferably, described danger coefficient β computing formula is:
Present invention also offers a kind of safe collision early warning system based on car networking, comprise the acceleration information of collection vehicle and judge the acceleration module whether vehicle brakes; Collection vehicle location information and judge the GPS module of distance of this car and brake vehicle; For the wireless communication module of communication and information processing; For the voice module of alarm.
Relative to scheme of the prior art, advantage of the present invention is:
1. this method utilizes car to network Real-time Communication Technology to obtain relevant information, constantly can obtain the up-to-date gps data of adjacent car, and calculate its speed of a motor vehicle, make error less;
2. this method utilizes wireless module to carry out data processing, decreases the volume of system, is convenient to dispose under highway environment;
3. the early warning information of adjacent car is kept in priority query by this method, and the information selecting danger coefficient maximum processes, and give chaufeur and report to the police, practicality is higher;
4. the Applicable scope of this method is comparatively large, can reliably use at the inclement weather such as thick fog, severe snow.
Accompanying drawing explanation
Below in conjunction with drawings and Examples, the invention will be further described:
Fig. 1 is application scenarios schematic diagram of the present invention;
Fig. 2 is the diagram of circuit of the safe anticollision method for early warning that the present invention is based on car networking;
Fig. 3 is the graticules schematic diagram of the safe anticollision method for early warning that the present invention is based on car networking;
Fig. 4 be the present invention is based on car networking safe anticollision method for early warning judge vehicle front and back position schematic diagram by longitude and latitude;
Fig. 5 is that the coordinate of two cars of the safe anticollision method for early warning that the present invention is based on car networking represents schematic diagram.
Detailed description of the invention
For making the object of invention, technical scheme and advantage clearly understand, below in conjunction with detailed description of the invention and with reference to accompanying drawing, invention is further described.Should be appreciated that, these describe just exemplary, and do not really want to limit the scope of the invention.In addition, in the following description, the description to known features and technology is eliminated, to avoid unnecessarily obscuring concept of the present invention.
Embodiment:
The present embodiment based on car networking safe collision early warning system in car-mounted terminal obtain gps data with 1HZ frequency, calculate this car moving velocity, obtain this car acceleration information with fixed frequency (as 5HZ) from acceleration module.When vehicle brake, by being carried out to exchange with the car-mounted terminal of surrounding vehicles the GPS information of self by real-time wireless communication, comprise the information such as course, ground, latitude and longitude coordinates, speed, acceleration/accel.
As shown in Figure 1, during current vehicle brake, the early warning information of front truck will be received from car.From car by performing the method for the express highway active safety system of networking based on car, corresponding information being processed, and sends phonetic warning information to chaufeur when needed.
As shown in Figure 2, the method comprises the following steps:
(1) the GPS sensor of car-mounted terminal obtains the location information (longitude and latitude, ground course angle, time) of vehicle, calculates vehicle current driving speed v by GPS information.The acceleration pick-up of car-mounted terminal obtains the running condition information (acceleration/accel) of vehicle;
(2) when vehicle brake, send from the information such as GPS location, moving velocity, travel direction of car to surrounding vehicles afterwards;
(3) if (front truck acceleration/accel is less than threshold value A in front truck brake
d) time, the actual distance dis that this car vehicle will calculate according to the latitude and longitude coordinates of front truck vehicle and Ben Che vehicle between two cars, and the safety distance sd calculating two cars according to the speed of a motor vehicle difference of two cars, and calculate danger coefficient β;
(4) select the maximum early warning information of danger coefficient to process from car vehicle, and corresponding voice message is sent to chaufeur.
Calculate two car actual distance dis according to the latitude and longitude coordinates of this car vehicle and the latitude and longitude coordinates of adjacent vehicle in step (3), formula is:
Wherein, radLat1 and radLat2 represents the latitude of two cars respectively, radLon1 and radLon2 represents the longitude of two cars respectively, and R represents earth radius constant.
Calculate this car speed of a motor vehicle v according to the latitude and longitude coordinates of this car vehicle and the latitude and longitude coordinates of adjacent vehicle in step (1), formula is:
Wherein, t
2and t
1represent current time and last time respectively, radLat1 and radLat2 represents the upper latitude of a position and the latitude of current location of this car respectively, radLon1 and radLon2 represents the upper longitude of a position and the longitude of current location of this car respectively, and R represents earth radius constant;
In step (3), whether surrounding vehicles obtains by calculating vehicle context in the traveling front of this car vehicle, and formula is:
Wherein, radLat1 and radLat2 represents the latitude of two cars respectively, radLon1 and radLon2 represents the longitude of two cars respectively, and Surfacecourse1 represents the ground course angle of vehicle, and R represents earth radius constant.
The formula calculating the safety distance sd of two cars in step (3) is:
sd=T*|v
1-v
2| (IV)
Wherein, v
1from the car speed of a motor vehicle, v
2be the adjacent car speed of a motor vehicle, T is the reaction time.
The formula calculating the danger coefficient β of two cars is:
Concrete, utilize the principle of the calculating of the latitude and longitude coordinates in gps data car euclidean distance between node pair as follows:
On graticules figure, distance between calculation 2 can be measured according to longitude and latitude.The gap length that all parts of the world latitude is 1 ° all equal (because the length of all warps is all equal) is approximately 111km/1 °.On equator, longitude 1 ° of correspondence arc length on the ground is approximately also 111km.Because each parallel successively decreases from equator to the two poles of the earth, the length on 60 ° of parallels is the half on equator, so the arc length of difference of longitude 1 ° is just unequal on each parallel.Actual arc same parallel (supposed that the latitude of this parallel is α) longitude 1 ° is corresponding is grown up and is about 111cos α km.Therefore, as long as be aware of the difference of latitude between any two places, or the difference of longitude of any two places on equator, just can calculate the actual distance between them.The judgement of closest range between two places: if two places difference of longitude equals 180 °, then the great circle crossing two places is through coil, and two places closest range is the minor arc crossing two limits in great circle; If two places difference of longitude is not equal to 180 °, then crossing the great circle of two places is not through coil, and with through coil oblique, two places closest range only limit, but cross two places.As shown in Figure 3, A, B represent the position of two cars respectively, and Latitude-Longitude is expressed as (a1, a2), (b1, b2), and radLat1, radLon1 be corresponding a1, a2 respectively; RadLat2, radLon2 be corresponding b1, b2 respectively, and the formula calculating two spacings according to the latitude and longitude coordinates of two cars is:
Wherein, radLat1 and radLat2 represents the latitude (unit is radian) of two cars respectively, and radLon1 and radLon2 is respectively longitude (unit is radian), and R represents earth radius constant 6378.137km.
After having introduced the principle of calculating vehicle node spacing, the formula (II) utilizing GPS to calculate car speed just can be proposed smoothly.The molecular moiety of formula (II) represents the distance of current vehicle position and last position, and denominator represents the time gap of twice collection gps data.
Before and after vehicle, relative position detailed schematic is as follows to utilize gps data to judge:
As shown in Figure 4, the relative position of Ben Cheche and adjacent car can calculate with longitude and latitude.Due to two spacings little (compared to the earth), so it is in the same plane to regard two cars as.As shown in Figure 5, with from car for the origin of coordinates, take direct north as x-axis positive dirction, with positive west for y-axis positive dirction sets up coordinate axle; The coordinate (x, y) of so adjacent car calculates by the difference of two car longitudes and latitudes:
This car travel direction is the ground course angle surfacecourse1 of this car, the ɑ namely in Fig. 5; So can be determined by 2 rays with the region being in this car and travelling front, the region namely between L1 and L2, wherein the slope of L1 and L2 is respectively tan (surfacecourse1+45), tan (surfacecourse1-45).This region can be expressed with the analytic expression of L1 and L2, namely
Above-mentioned example, only for technical conceive of the present invention and feature are described, its object is to person skilled in the art can be understood content of the present invention and implement according to this, can not limit the scope of the invention with this.All equivalent transformations of doing according to Spirit Essence of the present invention or modification, all should be encompassed within protection scope of the present invention.
Claims (8)
1., based on a safe anticollision method for early warning for car networking, it is characterized in that, comprise the following steps:
(1) car-mounted terminal obtains location information and the running condition information of this car vehicle, when this car vehicle brake, sends location information and the running condition information of this car vehicle;
(2) if car-mounted terminal monitors location information and the running condition information of front vehicles, car-mounted terminal calculates the actual distance dis between two cars, the safety distance sd of two cars and danger coefficient β;
(3) car-mounted terminal carries out early warning process according to danger coefficient size, and sends voice message to chaufeur.
2. the safe anticollision method for early warning based on car networking according to claim 1, it is characterized in that, described location information at least comprises longitude and latitude, ground course angle, time; Described running condition information at least comprises travel direction and acceleration/accel.
3. the safe anticollision method for early warning based on car networking according to claim 1, it is characterized in that, the context of vehicle is drawn by following formula:
Wherein radLat1 and radLat2 represents the latitude of two cars respectively, radLon1 and radLon2 represents the longitude of two cars respectively, and Sur facecousel represents the ground course angle of this car vehicle, and R represents earth radius constant.
4. the safe anticollision method for early warning based on car networking according to claim 1, it is characterized in that, described two car actual distance dis calculate according to the latitude and longitude coordinates of vehicle, and computing formula is:
Wherein, radLat1 and radLat2 represents the latitude of two cars respectively, radLon1 and radLon2 represents the longitude of two cars respectively, and R represents earth radius constant.
5. the safe anticollision method for early warning based on car networking according to claim 1, it is characterized in that, the computing formula of the safety distance sd of described two cars is:
sd=T*|υ
1-υ
2|;
Wherein v
1this car speed of a motor vehicle, v
2be the front truck speed of a motor vehicle, T is the reaction time.
6. the safe anticollision method for early warning based on car networking according to claim 5, it is characterized in that, described speed of a motor vehicle υ calculates according to latitude and longitude coordinates, and computing formula is:
Wherein, t
2and t
1represent current time and last time respectively, radLat1 and radLat2 represents the latitude of a position and the latitude of current location respectively, radLon1 and radLon2 represents the longitude of a position and the longitude of current location respectively, and R represents earth radius constant.
7. the safe anticollision method for early warning based on car networking according to claim 1, its feature exists
In, described danger coefficient β computing formula is:
8., based on a safe collision early warning system for car networking, it is characterized in that, comprise the acceleration information of collection vehicle and judge the acceleration module whether vehicle brakes; Collection vehicle location information and judge the GPS module of distance of this car and brake vehicle; For the wireless communication module of communication and information processing; For the voice module of alarm.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201410561883.3A CN104325978A (en) | 2014-10-21 | 2014-10-21 | Safety anti-collision early warning method based on vehicular ad-hoc network |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201410561883.3A CN104325978A (en) | 2014-10-21 | 2014-10-21 | Safety anti-collision early warning method based on vehicular ad-hoc network |
Publications (1)
Publication Number | Publication Date |
---|---|
CN104325978A true CN104325978A (en) | 2015-02-04 |
Family
ID=52400826
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201410561883.3A Pending CN104325978A (en) | 2014-10-21 | 2014-10-21 | Safety anti-collision early warning method based on vehicular ad-hoc network |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN104325978A (en) |
Cited By (26)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN104766487A (en) * | 2015-03-18 | 2015-07-08 | 北京交通大学 | Vehicle speed control method and system based on internet of vehicles |
CN105096658A (en) * | 2015-08-26 | 2015-11-25 | 广西小草信息产业有限责任公司 | Internet of things based automobile safety system and automobile safety communication method |
CN105225509A (en) * | 2015-10-28 | 2016-01-06 | 努比亚技术有限公司 | A kind of road vehicle intelligent early-warning method, device and mobile terminal |
CN105313891A (en) * | 2015-10-22 | 2016-02-10 | 清华大学 | Multi-vehicle cooperative collision avoidance method and apparatus |
CN105355087A (en) * | 2015-11-19 | 2016-02-24 | 深圳前海达闼云端智能科技有限公司 | Control method, apparatus, and system of vehicle in internet of vehicles, and vehicle |
CN105774800A (en) * | 2016-03-28 | 2016-07-20 | 清华大学 | Collision relieving method and device between vehicles in hybrid vehicle queue |
CN106157697A (en) * | 2016-08-31 | 2016-11-23 | 东软集团股份有限公司 | A kind of braking method for early warning and device |
CN106494398A (en) * | 2016-10-17 | 2017-03-15 | 珠海格力电器股份有限公司 | The reminding method and mobile terminal that prevent vehicle rear-end collision based on mobile terminal |
CN106816007A (en) * | 2015-12-02 | 2017-06-09 | 中国电信股份有限公司 | Brake behavioral value method, brake behavioral value device and terminal |
CN107644533A (en) * | 2017-10-27 | 2018-01-30 | 上海云砥信息科技有限公司 | The virtual section wagon flow quantity monitoring method of highway based on mobile network data |
CN107867295A (en) * | 2017-11-08 | 2018-04-03 | 广东翼卡车联网服务有限公司 | Be in danger accidents early warning method, storage device and the car-mounted terminal of probability based on vehicle |
CN107924626A (en) * | 2015-08-27 | 2018-04-17 | 福特全球技术公司 | The collision of enhancing avoids |
CN108140322A (en) * | 2015-09-29 | 2018-06-08 | 大众汽车有限公司 | For characterizing the device and method of object |
CN108177654A (en) * | 2017-11-23 | 2018-06-19 | 深圳市易成自动驾驶技术有限公司 | Vehicle driving safety method for early warning, device, system and readable storage medium storing program for executing |
CN108320585A (en) * | 2018-04-22 | 2018-07-24 | 周孜宁 | A kind of prior-warning device and method for vehicle risk transport condition |
CN108364482A (en) * | 2018-01-11 | 2018-08-03 | 北京千方科技股份有限公司 | A kind of method and device for warning of stopping in emergency for vehicle |
CN109070893A (en) * | 2016-04-22 | 2018-12-21 | 斯堪尼亚商用车有限公司 | The method and system of the risk of the vehicle of queue will be left for determination |
WO2018232897A1 (en) * | 2017-06-23 | 2018-12-27 | 深圳市盛路物联通讯技术有限公司 | Method and device for intelligent driving in smog day |
CN109703558A (en) * | 2018-12-28 | 2019-05-03 | 吉林大学 | Automobile early warning security system based on Internet of Things |
CN111661043A (en) * | 2020-06-23 | 2020-09-15 | 上汽通用汽车有限公司 | Forward collision early warning method and active braking system |
US10791553B2 (en) | 2016-04-11 | 2020-09-29 | Zte Corporation | Communication interval configuration method and device, storage medium, and apparatus |
CN112002144A (en) * | 2020-09-02 | 2020-11-27 | 中国科学技术大学 | Method and system for evaluating driving risk situation of signalless intersection |
CN112440832A (en) * | 2019-08-28 | 2021-03-05 | 湖南华宏铁路高新科技开发有限公司 | Method and system for deducing grouping and sequencing linkage of contact net operation vehicle |
CN113525364A (en) * | 2021-07-20 | 2021-10-22 | 杭州鸿泉物联网技术股份有限公司 | Forward anti-collision method, system, equipment and storage medium based on vehicle-to-vehicle communication |
CN115214662A (en) * | 2021-12-09 | 2022-10-21 | 广州汽车集团股份有限公司 | Following vehicle speed control method and system based on vehicle formation driving |
CN117456698A (en) * | 2023-09-18 | 2024-01-26 | 武汉工程大学 | Air approach warning method and device |
Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JPH06337286A (en) * | 1993-05-28 | 1994-12-06 | Mitsubishi Heavy Ind Ltd | Crash position predicting/alarming equipment for mobile |
JP2005112011A (en) * | 2003-10-02 | 2005-04-28 | Toyota Motor Corp | Vehicular traveling control device, vehicular traveling control method, and vehicular traveling control system |
CN103144633A (en) * | 2012-12-27 | 2013-06-12 | 中国科学技术大学苏州研究院 | Rear end collision early warning method based on vehicular networking technology |
CN104091439A (en) * | 2014-06-11 | 2014-10-08 | 中国科学技术大学苏州研究院 | Area vehicle management control system based on vehicle network |
-
2014
- 2014-10-21 CN CN201410561883.3A patent/CN104325978A/en active Pending
Patent Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JPH06337286A (en) * | 1993-05-28 | 1994-12-06 | Mitsubishi Heavy Ind Ltd | Crash position predicting/alarming equipment for mobile |
JP2005112011A (en) * | 2003-10-02 | 2005-04-28 | Toyota Motor Corp | Vehicular traveling control device, vehicular traveling control method, and vehicular traveling control system |
CN103144633A (en) * | 2012-12-27 | 2013-06-12 | 中国科学技术大学苏州研究院 | Rear end collision early warning method based on vehicular networking technology |
CN104091439A (en) * | 2014-06-11 | 2014-10-08 | 中国科学技术大学苏州研究院 | Area vehicle management control system based on vehicle network |
Cited By (30)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN104766487A (en) * | 2015-03-18 | 2015-07-08 | 北京交通大学 | Vehicle speed control method and system based on internet of vehicles |
CN105096658A (en) * | 2015-08-26 | 2015-11-25 | 广西小草信息产业有限责任公司 | Internet of things based automobile safety system and automobile safety communication method |
CN107924626A (en) * | 2015-08-27 | 2018-04-17 | 福特全球技术公司 | The collision of enhancing avoids |
CN108140322B (en) * | 2015-09-29 | 2022-06-17 | 大众汽车有限公司 | Device and method for characterizing an object |
CN108140322A (en) * | 2015-09-29 | 2018-06-08 | 大众汽车有限公司 | For characterizing the device and method of object |
CN105313891B (en) * | 2015-10-22 | 2017-08-11 | 清华大学 | A kind of many car collaboration collision avoidance method and devices |
CN105313891A (en) * | 2015-10-22 | 2016-02-10 | 清华大学 | Multi-vehicle cooperative collision avoidance method and apparatus |
CN105225509A (en) * | 2015-10-28 | 2016-01-06 | 努比亚技术有限公司 | A kind of road vehicle intelligent early-warning method, device and mobile terminal |
CN105355087A (en) * | 2015-11-19 | 2016-02-24 | 深圳前海达闼云端智能科技有限公司 | Control method, apparatus, and system of vehicle in internet of vehicles, and vehicle |
CN106816007A (en) * | 2015-12-02 | 2017-06-09 | 中国电信股份有限公司 | Brake behavioral value method, brake behavioral value device and terminal |
CN105774800A (en) * | 2016-03-28 | 2016-07-20 | 清华大学 | Collision relieving method and device between vehicles in hybrid vehicle queue |
US10791553B2 (en) | 2016-04-11 | 2020-09-29 | Zte Corporation | Communication interval configuration method and device, storage medium, and apparatus |
CN109070893A (en) * | 2016-04-22 | 2018-12-21 | 斯堪尼亚商用车有限公司 | The method and system of the risk of the vehicle of queue will be left for determination |
CN106157697A (en) * | 2016-08-31 | 2016-11-23 | 东软集团股份有限公司 | A kind of braking method for early warning and device |
CN106494398A (en) * | 2016-10-17 | 2017-03-15 | 珠海格力电器股份有限公司 | The reminding method and mobile terminal that prevent vehicle rear-end collision based on mobile terminal |
WO2018232897A1 (en) * | 2017-06-23 | 2018-12-27 | 深圳市盛路物联通讯技术有限公司 | Method and device for intelligent driving in smog day |
CN107644533A (en) * | 2017-10-27 | 2018-01-30 | 上海云砥信息科技有限公司 | The virtual section wagon flow quantity monitoring method of highway based on mobile network data |
CN107867295A (en) * | 2017-11-08 | 2018-04-03 | 广东翼卡车联网服务有限公司 | Be in danger accidents early warning method, storage device and the car-mounted terminal of probability based on vehicle |
CN107867295B (en) * | 2017-11-08 | 2019-12-31 | 广东翼卡车联网服务有限公司 | Accident early warning method based on vehicle risk probability, storage device and vehicle-mounted terminal |
CN108177654A (en) * | 2017-11-23 | 2018-06-19 | 深圳市易成自动驾驶技术有限公司 | Vehicle driving safety method for early warning, device, system and readable storage medium storing program for executing |
CN108364482A (en) * | 2018-01-11 | 2018-08-03 | 北京千方科技股份有限公司 | A kind of method and device for warning of stopping in emergency for vehicle |
CN108320585A (en) * | 2018-04-22 | 2018-07-24 | 周孜宁 | A kind of prior-warning device and method for vehicle risk transport condition |
CN109703558A (en) * | 2018-12-28 | 2019-05-03 | 吉林大学 | Automobile early warning security system based on Internet of Things |
CN112440832A (en) * | 2019-08-28 | 2021-03-05 | 湖南华宏铁路高新科技开发有限公司 | Method and system for deducing grouping and sequencing linkage of contact net operation vehicle |
CN111661043A (en) * | 2020-06-23 | 2020-09-15 | 上汽通用汽车有限公司 | Forward collision early warning method and active braking system |
CN112002144A (en) * | 2020-09-02 | 2020-11-27 | 中国科学技术大学 | Method and system for evaluating driving risk situation of signalless intersection |
CN112002144B (en) * | 2020-09-02 | 2022-03-01 | 中国科学技术大学 | Method and system for evaluating driving risk situation of signalless intersection |
CN113525364A (en) * | 2021-07-20 | 2021-10-22 | 杭州鸿泉物联网技术股份有限公司 | Forward anti-collision method, system, equipment and storage medium based on vehicle-to-vehicle communication |
CN115214662A (en) * | 2021-12-09 | 2022-10-21 | 广州汽车集团股份有限公司 | Following vehicle speed control method and system based on vehicle formation driving |
CN117456698A (en) * | 2023-09-18 | 2024-01-26 | 武汉工程大学 | Air approach warning method and device |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN104325978A (en) | Safety anti-collision early warning method based on vehicular ad-hoc network | |
US11726437B2 (en) | Vehicle control systems | |
CN103144633B (en) | Based on the rear-end impact method for early warning of car networking technology | |
CN104269073B (en) | A kind of reverse track based on truck traffic method for early warning of overtaking other vehicles | |
CN104554105B (en) | A kind of vehicle anticollision Network Warning method and device and confirmatory experiment platform | |
CN104361760B (en) | A kind of emergency brake intelligent control method based on car networking | |
CN105427669A (en) | Anti-collision early warning method based on DSRC vehicle-to-vehicle communication technology | |
CN104900089A (en) | Lane-changing early warning device based on vehicle-vehicle coordination | |
US20150127190A1 (en) | Method for preventing a collision of a motor vehicle with a vehicle driving the wrong way and a control and detection device for a vehicle to prevent a collision of the motor vehicle with a vehicle driving the wrong way | |
CN104960468A (en) | Method and device for changing lanes during traveling | |
CN106157696A (en) | Move avoidance system and preventing collision method based on truck traffic from car owner | |
CN103578294A (en) | Method for curve synergy collision avoidance early warning based on dedicated short range communication | |
CN105679093A (en) | Multi-vehicle coordination collision avoidance system and method based on vehicle-vehicle communication | |
CN105206108A (en) | Early warning method against vehicle collision based on electronic map | |
CN104240538A (en) | Early warning method and device for traveling | |
CN107564296A (en) | A kind of car speed early warning system based on condition of road surface | |
CN204055561U (en) | Vehicle safe driving caution system | |
US11772673B2 (en) | Systems and methods to issue warnings to enhance the safety of bicyclists, pedestrians, and others | |
CN104192063B (en) | Vehicle safe driving caution system and corresponding alarming method for power | |
CN111354224A (en) | Vehicle forward collision early warning system and method based on LTE-V2X | |
CN105809978B (en) | The determination method and device of Vehicle Speed | |
CN111768642A (en) | Road environment perception and vehicle control method, system and device of vehicle and vehicle | |
CN201941764U (en) | System for preventing chain-reaction collision of vehicles in foggy and snowy weather | |
CN103489333A (en) | Intelligent transportation anti-collision system and intelligent transportation anti-collision early warning system | |
CN102568232B (en) | System for prewarning vehicle speed on bent roads based on radio frequency identification (RFID) |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
C06 | Publication | ||
PB01 | Publication | ||
C10 | Entry into substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
RJ01 | Rejection of invention patent application after publication |
Application publication date: 20150204 |
|
RJ01 | Rejection of invention patent application after publication |