CN102097011B - Cluster-intelligence traffic-flow control system - Google Patents
Cluster-intelligence traffic-flow control system Download PDFInfo
- Publication number
- CN102097011B CN102097011B CN201110042000.4A CN201110042000A CN102097011B CN 102097011 B CN102097011 B CN 102097011B CN 201110042000 A CN201110042000 A CN 201110042000A CN 102097011 B CN102097011 B CN 102097011B
- Authority
- CN
- China
- Prior art keywords
- vehicle
- module
- antenna
- microcomputer apparatus
- intelligence
- 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 present invention relates to a kind of cluster-intelligence traffic-flow control system, belong to intelligent transportation field.The single vehicle of native system configures microcomputer apparatus, the master cpu interface of microcomputer apparatus is connected with wireless data transfer module and pre-programmed load module, roadside and intersection are provided with information terminal, the wireless transmitter of information terminal is connected with computing machine, and computing machine connects central monitoring station and belisha beacon device respectively by data line, the power of each onboard wireless R-T unit is identical and be also configured with power amplification active circuit in addition.The present invention can realize having information interchange between single unit vehicle, makes many cars produce swarm intelligence, also has information interchange simultaneously between multiple colony, makes to realize between colony mutually consulting, and with the scheme of the best by crossing, avoids traffic conflict; The structure of native system is simple, concept feasible.
Description
Technical field
The present invention relates to a kind of Traffic flux detection system, particularly cluster-intelligence traffic-flow control system, belong to delivery vehicle and traffic control complex art field.
Background technology
Along with science and technology constantly progress, intelligent transportation becomes the main flow of research.But current traffic flow does not have the characteristic of swarm intelligence, but consider following development, swarm intelligence traffic will become the direction of future development.With regard to current technological means, give each automobile and possess and intelligent become a feasible technical scheme, as increased an intelligent chip onboard.After vehicle large area adopts intelligent chip, the traffic flow travelled on road is just provided with the possibility of swarm intelligence.For automobile, the intelligent chip that performance is higher can be loaded, make single vehicle have powerful computing power and movability, but the limitation of its perception, limit the development of its intelligence.Automobile is considered as a kind of mobile robot, the technology simultaneously using for reference mobile robot's wireless-transmission network makes automobile have information interchange (Xue Han to each other, Li Xun, Ma Hongxu, sensing technology journal, based on mobile robot's real-time route planning under the circumstances not known of wireless sensor network, 21st volume the 5th phase, in May, 2008), realize swarm intelligence, carrying out continuous print, on a large scale monitoring to environment just can provide automobile to the real-time perception ability of the overall situation, improves vehicle to the control of environment.On the other hand, further develop the characteristic of swarm intelligence, can make, between more colony, there is information interchange, make to realize between colony mutually consulting, with the scheme of the best by crossing, avoid traffic conflict.In conjunction with the advantage of both individual intelligence and swarm intelligence, make the two complementary, both can improve the perception of the surrounding vehicles of single vehicle, be provided with again the characteristic of the mutual negotiation between group and group simultaneously, become the traffic flow of a kind of " clever ".The group that the wagon flow being provided with intelligence is formed can be coordinated with each other, and be in intragroup vehicle and can seek optimum position, makes single unit vehicle be in best safety state.Greatly improving traffic flow efficiency, providing a kind of feasible scheme for alleviating traffic congestion.How to invent the most simply, the most reliable cluster-intelligence traffic-flow control system is extremely important problem, the document of the correlation technique be correlated with in current swarm intelligence traffic flow aspect or patent is also rare.
Summary of the invention
Technical matters to be solved by this invention is to provide a kind of cluster-intelligence traffic-flow control system, by means of the intelligent apparatus of automotive internal, car is made to have the characteristic of swarm intelligence, it can realize having information interchange between single unit vehicle, make many cars produce swarm intelligence, also there is information interchange between multiple colony simultaneously, make to realize between colony mutually consulting, with the scheme of the best by crossing, avoid traffic conflict; The structure of native system is simple, concept feasible.
Solving the scheme that technical matters of the present invention adopts is: single vehicle configures microcomputer apparatus, the master cpu interface of microcomputer apparatus is connected with wireless data transfer module and pre-programmed load module, roadside and intersection are provided with information terminal, the wireless transmitter of information terminal is connected with computing machine, and computing machine connects central monitoring station and belisha beacon device respectively by data line, the power of each onboard wireless R-T unit is identical and be also configured with power amplification active circuit in addition.Wherein pre-programmed load module has preset swarm intelligence program, information interchange is carried out by the wireless data transfer module of microcomputer apparatus and adjacent vehicle, judge the relative distance between surrounding vehicles and relative orientation, obtain swarm intelligence, troop the microcomputer apparatus of vehicle by comparison and statistics, the power amplification active circuit that the vehicle being in center fills now can be activated startup, it can obtain quantity and the average velocity of this vehicle group, larger Wireless Data Transmission power represents in-group vehicle and exchanges terminal and other vehicle group with Information issued and carry out data exchange, consult how to pass through junction ahead, in this group, the wireless transmitter of all the other vehicles is owing to keeping original equal-wattage, so do not participate in data exchange Information issued being exchanged to terminal and other vehicle group.
The master cpu interface of vehicle-mounted microcomputer apparatus is also connected with automobile and controls driver module, and this module respectively connected turning on automobile by data line, brakes, the electric control gear of fuel distributing and speed change.When microcomputer apparatus is arranged on auto state, can according to swarm intelligence program with Vehicular automatic driving in this group; When microcomputer apparatus is arranged on manual mode, if when the operation of driver is violated swarm intelligence program and will cause traffic hazard, microcomputer apparatus controls the strong fleet vehicles of driver module by automobile and gets back to auto state simultaneously.
The master cpu interface of vehicle-mounted microcomputer apparatus is also connected with angle and distance input module, vehicle condition signal input module, display module, human-machine interface module, power management module, path goal setting module, GPS navigator and data memory module.Angle and distance input module can be used for judging the relative distance between surrounding vehicles and relative orientation better; Vehicle condition signal input module is realized by the instrument parameter of multiple automobile self and sensor, can by the instrument parameter in automobile, as the important parameters such as automobile instantaneous velocity, engine oil pressure, engine speed, gear, automobile gross mass transfer digital signal input to; Display module comprises two display screens, one for display line bus or train route route, another travelling speed needed at present for showing the quantity of Adjacent vehicles, azimuth-range, safe space scope and vehicle; Human-machine interface module is used for man-machine conversation, can arrange some parameter, selects pilot steering or semi-automatic driving; Power management module can carry out powering and power management according to single vehicle intelligent apparatus demand; Path goal setting module can input the destination that will arrive, GPS navigator then can according to front road conditions automatically select drive a vehicle path, data memory module be used for store car travel various information data.
Vehicle-mounted wireless data transfer module is configured with rotary type and covers antenna, the structure of this antenna is fixed antenna pedestal on roof, signal mask is rotatably connected on antenna base, antenna base is fixed wtih the drive motor being furnished with driven wheel, driven wheel engages with the ring gear of signal mask inwall, signal mask is built with signal receiving antenna, signal mask sidewall has Signal reception window, telescopic emitting antenna stretches out from signal mask top, signal mask is provided with angle pulse induction tooth, the angle pulse electromagnetic induction head be connected with wireless data transfer module is housed in the position of antenna base corresponding angle pulse induction tooth.This antenna can improve the receives information degree of accuracy of vehicle greatly, and only have when Adjacent vehicles aimed at by the window of Signal reception window, signal receiving antenna just can receive the signal that Adjacent vehicles sends.
The invention has the beneficial effects as follows: by means of the intelligent apparatus of automotive internal, make vehicle have the characteristic of swarm intelligence.In this hierarchy of control, between single unit vehicle, there is information interchange, and information interchange makes many cars produce swarm intelligence; Also there is information interchange between multiple wagon flow colonies, make to realize between colony mutually consulting, with the scheme of the best by crossing, avoid traffic conflict.In conjunction with the advantage of both individual intelligence and swarm intelligence, both improved the perception of the surrounding vehicles of single vehicle, be provided with the characteristic of the mutual negotiation between group and group simultaneously, and become the traffic flow of a kind of " clever ", greatly improve traffic flow efficiency.
Accompanying drawing explanation
Fig. 1 is present system one-piece construction schematic diagram;
Fig. 2 is the connection diagram of single vehicle microcomputer apparatus of the present invention;
Fig. 3 is that rotary type of the present invention covers antenna structure view.
In Fig. 1 ~ 3: 1. belisha beacon device, 2. information terminal, 3. data line, 4. vehicle group, 5. driving vehicle, 6. computing machine, 7. network, 8. central monitoring station, 9. master cpu, 10. angle and distance input module, 11. vehicle condition signal input module, 12. display modules, 13. pre-programmed load modules, 14. human-machine interface modules, 15. power management modules, 16. path goal setting module, 17. automobiles control driver module, 18. data memory modules, 19. wireless data transfer modules, 20. microcomputer apparatus, 21.GPS navigating instrument, 22. emitting antennas, 23. signal masks, 24. signal receiving antennas, 25. ring gears, 26. driven wheels, 27. drive motor, 28. angle pulse induction teeth, 29. angle pulse electromagnetic induction heads, 30. Signal reception windows, 31. antenna bases, 32. rotary types cover antenna.
Embodiment
Below in conjunction with drawings and Examples, the invention will be further described.
All insert single vehicle microcomputer apparatus 20 in each automobile, the signal power sent is identical.The interface configuration of microcomputer apparatus 20 angle and distance input module 10, vehicle condition signal input module 11, display module 12, pre-programmed load module 13, human-machine interface module 14, power management module 15, automobile control driver module 17, path goal setting module 16, data memory module 18, wireless data transfer module 19 and GPS navigator 21.Wherein pre-programmed load module 13 presets swarm intelligence program, information interchange is carried out with adjacent vehicle by the wireless data transfer module 19 of microcomputer apparatus 20, obtain swarm intelligence, single vehicle be provided with angle and distance input module 10, the relative distance between surrounding vehicles and relative orientation can be judged, by comparison and statistics, the vehicle being in center obtains quantity and the average velocity of this vehicle group 4, represent in-group vehicle by this vehicle and carry out Wireless Data Transmission as independently cammander (all the other vehicles do not participate in exchanging terminal 2 data exchange to Information issued), namely terminal is exchanged with Information issued on the one hand, directly other vehicle group carries out data exchange on the other hand, consult how to pass through junction ahead.
The angle of single vehicle microcomputer apparatus 20 and distance input module 10 cover antenna 32 by rotary type and signal processing apparatus, compass reference signal source are formed.Rotary type covers antenna 32 and is assembled by data transmitting antenna 22, signal mask 23, signal receiving antenna 24, ring gear 25, driven wheel 26, drive motor 27, angle pulse induction tooth 28, angle pulse electromagnetic induction head 29, Signal reception window 30, antenna base 31.Its course of work is that drive motor 27 drives driven wheel 26 to rotate (see Fig. 3), this gear engages with the ring gear 25 of signal mask, signal mask 23 is rotated, this mask is provided with Signal reception window 30, only have when Adjacent vehicles aimed at by window, signal receiving antenna 24 just can receive the signal that Adjacent vehicles sends.The angle that this radome rotates can be realized by the angle pulse induction tooth 28 on edge under radome, when radome rotates, the angle pulse electromagnetic induction head 29 that antenna base 31 is installed senses that magnetic flux changes, provide angular signal pulse, the reference signal comparison that this pulse and compass provide, obtain the orientation of signal source, thus obtain Adjacent vehicles orientation, and learn total how many cars around according to the quantity of signal source.After obtaining Adjacent vehicles orientation and quantity, also to judge the spacing of vehicle and Adjacent vehicles, consider that the signal power that the single vehicle microcomputer apparatus 20 in each automobile sends is identical, only need judge that signal source power can obtain the distance of adjacent automobile by signal processing apparatus.
Vehicle condition signal input module 11 is realized by multiple instrument parameter of automobile self and sensor.Instrument parameter in automobile is input to vehicle condition signal input module 11 as the important parameters such as automobile instantaneous velocity, engine oil pressure, engine speed, gear, automobile gross mass transfer digital signal to, these parameters may be used for judging that whether automobilism is normal, if automobile is abnormal, even if prompting can be given, also judged result is informed other vehicle simultaneously, other vehicle can exist according to abnormal adjacent automobile storage, and makes anticipation in advance, changes following distance.Car speed and mass parameter are used for calculating vehicle safe space distance, by wireless data transfer module 19 by safe space Distance Transmission to Adjacent vehicles, make mutually to coordinate to each other, avoid security incidents such as knocking into the back.
Display module 12 comprises two display screens.A display line bus or train route route, this is the display screen of GPS navigator 21, the destination that will be able to be arrived by path goal setting module 16 input, and GPS navigator 21 can select according to front road conditions path of driving a vehicle automatically; Another display module is for the travelling speed (representing by the color lump size in arrow) that shows the quantity of Adjacent vehicles, azimuth-range, safe space scope and vehicle and need at present and direction.
Pre-programmed load module 13 comprises the multi-information fusion control program of this car, the swarm intelligence program of this car and group and consults green ripple intelligent program.
The multi-information fusion control program of vehicle avoids objects ahead automatically for controlling vehicle, realize automatic Pilot, automobile is made to have the intelligence of height, but this intelligence is only present in independently in individuality, the relation between self and vehicle group cannot be coordinated, also cannot realize the coordination between group and group; The swarm intelligence program of this car is the relation that a. coordinates vehicle and Adjacent vehicles, finds from the most appropriate position among colony, makes vehicle be in optimum position; B. realize constellation effect, vehicle is converged in some suitable colonies, realize the autohemagglutination of colony in swarm intelligence system; C. carry out information interchange, find out the vehicle being in center and represent this group and other group and carry out information interchange, coordinate not to be clashed with other group by junction ahead how smoothly.
Concrete implementation is theoretical by means of swarm intelligence.Swarm intelligence refers to the characteristic of the unpredictalbe overall intelligent behavior simply emerged individual by Local Interaction, and the individuality in system, only under local sensing ability, just can realize complicated behavior pattern by and the mutual of environment individual with other.Swarm intelligence utilizes the advantage of colony, do not have centralized control, world model is not provided prerequisite under, find the solution of challenge.This programme all finally can converge on the individuality in colony in certain scope, and in the process of One-male unit, individuality also can keep certain tightness degree under interaction.
To the individuality in system, first suppose that the sensing range of each individuality is r, concerning individual i, other individuality only within the scope of this could act on its generation, this scope is realized by antenna receiving signal power, signal is less than a certain setting, then not collection signal, and the Observable collection for individual i is all group of individuals S in its sensing range
i={ j| ρ (x
i-x
j)=|| x
i-x
j||≤r, j ∈ Φ }, wherein ρ (x
i-x
j) represent individual x
iand x
jbetween distance, Φ represents all individual collections in colony.Other individual amount that individual i can perceive is expressed as N
i=| S
i|, within the scope of individual i Observable, the center of all individualities is
the vehicle being in center represents the information interchange of this group and other group.The realization assembled needs the interaction between individuality, and after the individuality in colony perceives other individuality, in order to ensure that they can assemble in groups, the simplest mode is exactly introduce the gravitation between individuality.Equally, in order to avoid the collision with other individuality, needing away from the other side when two individual distances closely reach to a certain degree, therefore needing to introduce the repulsion between individuality.Linear Gravity f between individual x and y
a(x, y) and bounded repulsion f
r(x, y) is defined as:
Wherein, a > 0 and b > 0 represents gravitation and repulsion coefficient respectively; 0 < c < r is the reach of repulsion. the gravitation value size within the scope of Observable between individuality increases along with the increase of distance between the two, and repulsion value then reduces.As can be seen from gravitation and repulsion definition, individual i is only subject to acting force individual in sensing region, and other individuality does not all act on its generation.Safe space scope Q (x, y)=kr can being defined, according to above-mentioned formula for programming according to carrying out transformation, can swarm intelligence be obtained.
It is enter CPU by pre-programmed load module 13 that group consults green ripple intelligent program, form group and consult green ripple intelligence, can realize exchanging with other vehicle group, and the result announcement information consulted is issued interchange terminal, control traffic lights, guaranteed that crossing did not clash, and realized dynamic green wave traffic and control.
Human-machine interface module 14, for man-machine conversation, can be arranged some parameter, selects pilot steering and semi-automatic driving.
Power management module 15 can carry out powering and power management according to single vehicle intelligent apparatus demand.
It is that the steering order provided by CPU is sent to and controls in driving arrangement that automobile controls driver module 17, for driving the direction of automobile, brake, throttle, clutch coupling, gear, realizes automatic Pilot.
Wireless data transfer module 19 points of two kinds of duties, 1. when being in non-central location and Adjacent vehicles carry out information interchange, realize swarm intelligence, and receive the traffic information of self-information terminal 2 issue, these traffic informations comprise road friction coefficient, road grade, bend road conditions, history wagon flow, accident statistics situation, weather conditions etc., after vehicle receiver to these information, can adjust travel speed, following distances etc., ensure the safety of vehicle, 2. after being in center, power amplification circuit is then activated, group can be represented and the external world carries out information interchange, by the average velocity of vehicle group, the gross mass of vehicle group, the total quantity of vehicle group, the real time position data of vehicle group is transferred to information terminal 2, by network 7 by data back to central monitoring station 8, central monitoring station 8 just can see position and the translational speed of this vehicle group intuitively, on the other hand, information interchange can be carried out by information terminal 2 between group and group, consult green ripple intelligent program by the group of pre-programmed load module 13 to exchange with other vehicle group, and the result announcement information terminal 2 that will consult, control the traffic lights of belisha beacon device 1, guaranteed that crossing did not clash, realize dynamic green wave traffic to control.
The concrete course of work of swarm intelligence traffic control system: first, vehicle must install single vehicle microcomputer apparatus 20.Vehicle, in the process travelled, when automatic Pilot, can be formed colony according to GPS current driving path automatic classification, and keep suitable spacing.When pilot steering, according to the prompting of display module unit 12, drive, also can enter colony, and be in a suitable position.Owing to carrying out information interchange between group and group, create swarm intelligence.When being in non-central location and Adjacent vehicles carry out information interchange, realize swarm intelligence, and receive the traffic information of information terminal issue, these traffic informations comprise road friction coefficient, road grade, bend road conditions, history wagon flow, accident statistics situation, weather conditions etc., after vehicle receiver to these information, can travel speed be adjusted, following distance etc., ensure the safety of vehicle.After being in center, vehicle-mounted high-power wireless data transmission device is then activated, represent group and the external world carries out information interchange, the total quantity of the gross mass of the average velocity of vehicle group, vehicle group, vehicle group, the real time position data of vehicle group are transferred to information terminal 2, by network by data back to central monitoring station 8, central monitoring station 8 just can see position and the translational speed of this vehicle group intuitively; On the other hand, information interchange can be carried out by information terminal 2 between group and group, consult green ripple intelligent program by the group of pre-programmed load module 13 to exchange with other vehicle group, and the result announcement information terminal 2 that will consult, control the traffic lights of belisha beacon device 1, guaranteed that crossing did not clash, and realized dynamic green wave traffic and control.
Claims (4)
1. a cluster-intelligence traffic-flow control system, it is characterized in that: single vehicle configures microcomputer apparatus, the master cpu interface of microcomputer apparatus is connected with wireless data transfer module and pre-programmed load module, roadside and intersection are provided with information terminal, the wireless transmitter of information terminal is connected with computing machine, and computing machine connects central monitoring station and belisha beacon device respectively by data line, the power of each onboard wireless R-T unit is identical and be also configured with power amplification active circuit in addition, wherein pre-programmed load module has preset swarm intelligence program, information interchange is carried out by the wireless data transfer module of microcomputer apparatus and adjacent vehicle, calculate the relative distance between surrounding vehicles and relative orientation, troop the microcomputer apparatus of vehicle by comparison and statistics, the power amplification active circuit that the vehicle being in center fills is activated startup, the microcomputer apparatus of the vehicle of center obtains quantity and the average velocity of this vehicle group, and represent in-group vehicle and terminal and other vehicle group carries out data exchange.
2. cluster-intelligence traffic-flow control system according to claim 1, it is characterized in that: the master cpu interface of vehicle-mounted microcomputer apparatus is also connected with automobile and controls driver module, this module respectively connected turning on automobile by data line, brake, the electric control gear of fuel distributing and speed change.
3. cluster-intelligence traffic-flow control system according to claim 2, is characterized in that: the master cpu interface of vehicle-mounted microcomputer apparatus is also connected with angle and distance input module, vehicle condition signal input module, display module, human-machine interface module, power management module, path goal setting module, GPS navigator and data memory module.
4. cluster-intelligence traffic-flow control system according to claim 2, it is characterized in that: vehicle-mounted wireless data transfer module is configured with rotary type and covers antenna, the structure of this antenna is fixed antenna pedestal on roof, signal mask is rotatably connected on antenna base, antenna base is fixed wtih the drive motor being furnished with driven wheel, driven wheel engages with the ring gear of signal mask inwall, signal mask is built with signal receiving antenna, signal mask sidewall has Signal reception window, telescopic emitting antenna stretches out from signal mask top, signal mask is provided with angle pulse induction tooth, the angle pulse electromagnetic induction head be connected with wireless data transfer module is housed in the position of antenna base corresponding angle pulse induction tooth.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201110042000.4A CN102097011B (en) | 2011-02-21 | 2011-02-21 | Cluster-intelligence traffic-flow control system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201110042000.4A CN102097011B (en) | 2011-02-21 | 2011-02-21 | Cluster-intelligence traffic-flow control system |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN102097011A CN102097011A (en) | 2011-06-15 |
| CN102097011B true CN102097011B (en) | 2016-02-10 |
Family
ID=44130084
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201110042000.4A Expired - Fee Related CN102097011B (en) | 2011-02-21 | 2011-02-21 | Cluster-intelligence traffic-flow control system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN102097011B (en) |
Families Citing this family (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| TWI455073B (en) * | 2011-12-14 | 2014-10-01 | Ind Tech Res Inst | Road-condition warning device, system and method for a vehicle |
| CN102592463A (en) * | 2012-03-06 | 2012-07-18 | 昆明理工大学 | Green wave induction control method and system of traffic flow through intelligent cluster signal lamps |
| KR101518909B1 (en) * | 2013-08-09 | 2015-05-15 | 현대자동차 주식회사 | Driving device and Method using camera video signal and navigation signal |
| WO2015136558A1 (en) * | 2014-03-14 | 2015-09-17 | Giacalone Michele Claudio | Warning system about possible emergency situations to road users |
| CN103968854B (en) * | 2014-05-27 | 2016-04-27 | 四川汇源吉迅数码科技有限公司 | A kind of Path Clustering planing method |
| CN105225502A (en) * | 2015-11-02 | 2016-01-06 | 招商局重庆交通科研设计院有限公司 | A kind of intersection signal control method based on multiple agent |
| CN106737666A (en) * | 2016-12-02 | 2017-05-31 | 南宁学院 | A kind of industrial robot is according to path mode of progression |
| CN108492602A (en) * | 2018-03-28 | 2018-09-04 | 浙江鼎奕科技发展有限公司 | Vehicular automatic driving method and device |
| CN113012434A (en) * | 2021-03-18 | 2021-06-22 | 大众问问(北京)信息科技有限公司 | Vehicle running control method and device and electronic equipment |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1822522A (en) * | 2005-02-16 | 2006-08-23 | 爱信精机株式会社 | Communication device for a movable body |
| DE102008007696A1 (en) * | 2008-02-06 | 2009-08-20 | Siemens Aktiengesellschaft | Method for operating sensor node with wireless sensor network, involves exchanging information contained in news by sensor node, where information is automatically obtained from other sensor nodes |
| CN201993914U (en) * | 2011-02-21 | 2011-09-28 | 昆明理工大学 | Cluster-intelligence traffic-flow control system |
Family Cites Families (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US8255144B2 (en) * | 1997-10-22 | 2012-08-28 | Intelligent Technologies International, Inc. | Intra-vehicle information conveyance system and method |
| JP2001283381A (en) * | 2000-03-30 | 2001-10-12 | Toshiba Corp | Inter-vehicle communication system |
| JP4040441B2 (en) * | 2002-12-04 | 2008-01-30 | トヨタ自動車株式会社 | Vehicle communication device |
-
2011
- 2011-02-21 CN CN201110042000.4A patent/CN102097011B/en not_active Expired - Fee Related
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1822522A (en) * | 2005-02-16 | 2006-08-23 | 爱信精机株式会社 | Communication device for a movable body |
| DE102008007696A1 (en) * | 2008-02-06 | 2009-08-20 | Siemens Aktiengesellschaft | Method for operating sensor node with wireless sensor network, involves exchanging information contained in news by sensor node, where information is automatically obtained from other sensor nodes |
| CN201993914U (en) * | 2011-02-21 | 2011-09-28 | 昆明理工大学 | Cluster-intelligence traffic-flow control system |
Non-Patent Citations (2)
| Title |
|---|
| Cluster-Based Location Routing Algorithm for Vehicle to Vehicle Communication;R.A.Santos Et al.;《Radio and Wireless Conference, 2004 IEEE》;20040922;第39-42页 * |
| 群集智能理论及其在多机器人系统中的应用研究;刘佰龙;《中国博士学位论文全文数据库信息科技辑》;20091015(第10期);第1-125页 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN102097011A (en) | 2011-06-15 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN102097011B (en) | Cluster-intelligence traffic-flow control system | |
| CN111055850B (en) | Intelligent motor vehicle, system and control logic for driver behavior coaching and on-demand mobile charging | |
| CN102431556B (en) | Based on the integrated driver prior-warning device that bus or train route is collaborative | |
| US20240046781A1 (en) | Dynamic speed limit for vehicles and autonomous vehicles | |
| CN103236177B (en) | Control method of intelligent interactive system with vehicular network multi-system fusion | |
| CN108058704A (en) | Based on vehicle to the PREDICTIVE CONTROL of the power drive system of vehicle communication | |
| CN108407640B (en) | Highway vehicle guiding system with charging lane and guiding method | |
| US8340894B2 (en) | Method of dynamic intersection mapping | |
| CN110271556A (en) | The control loop and control logic of the scene based on cloud planning of autonomous vehicle | |
| CN109686095A (en) | Bus or train route Synergistic method and system based on LTE-V | |
| US20230360528A1 (en) | Wireless charging parking space recommendation method and system | |
| CN106467112A (en) | Vehicle-mounted DAS (Driver Assistant System) | |
| CN105513391A (en) | Vehicle-mounted virtual road state display system based on vehicle infrastructure cooperative technology | |
| CN103646298A (en) | Automatic driving method and automatic driving system | |
| CN111806231A (en) | Method and system for limiting vehicle speed | |
| US20210055120A1 (en) | System and method for vehicle route selection | |
| CN105529751A (en) | Wireless charging belt system for providing charging, positioning, navigation and automatic driving for electric vehicle | |
| CN110920619B (en) | Vehicle regulation and control method and device and electronic equipment | |
| CN201993914U (en) | Cluster-intelligence traffic-flow control system | |
| CN117716404A (en) | Computing framework for vehicle decision-making and traffic management | |
| CN110827548A (en) | Roadside parking space unmanned intelligent management system realized by ETC | |
| CN211943272U (en) | Automatic driving controller, automatic driving system of vehicle and vehicle | |
| CN106227211B (en) | Automatic driving system based on electronic map and electronic compass | |
| CN103744379A (en) | Remote monitoring terminal for pure electric bus | |
| CN112477679B (en) | Autonomous-moving electric vehicle battery pack, battery system and control method |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| C14 | Grant of patent or utility model | ||
| GR01 | Patent grant | ||
| TR01 | Transfer of patent right |
Effective date of registration: 20170706 Address after: 650093 Ring Road in Yunnan city of Kunming province No. 50 Kunming University of Science and Technology Xinying Campus Patentee after: INDUSTRY MANAGEMENT LTD KUNMING University OF SCIENCE AND TECHNOLOGY Address before: 650093 Kunming Province, Wuhua District, road, No. 253 (Kunming University of Science and Technology) Patentee before: Kunming University of Science and Technology |
|
| TR01 | Transfer of patent right | ||
| CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20160210 |
|
| CF01 | Termination of patent right due to non-payment of annual fee |