CN105702058A - Crossroad traffic light intelligent control method and system on the basis of vehicle positioning - Google Patents
Crossroad traffic light intelligent control method and system on the basis of vehicle positioning Download PDFInfo
- Publication number
- CN105702058A CN105702058A CN201610113162.5A CN201610113162A CN105702058A CN 105702058 A CN105702058 A CN 105702058A CN 201610113162 A CN201610113162 A CN 201610113162A CN 105702058 A CN105702058 A CN 105702058A
- Authority
- CN
- China
- Prior art keywords
- roads
- road
- real time
- vehicle positioning
- crossroad
- 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 37
- 238000000605 extraction Methods 0.000 claims description 6
- 230000000694 effects Effects 0.000 abstract description 7
- 239000006185 dispersion Substances 0.000 abstract description 4
- 238000010586 diagram Methods 0.000 description 1
Classifications
-
- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/07—Controlling traffic signals
- G08G1/08—Controlling traffic signals according to detected number or speed of vehicles
Landscapes
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Traffic Control Systems (AREA)
Abstract
The present invention discloses a crossroad traffic light intelligent control method and system on the basis of vehicle positioning. The method comprises: obtaining vehicle positioning information on two roads which form a crossroad in real time; analyzing the crowded grade of each road in the two roads in real time through the vehicle positioning information; and when the crowded grade of only one road in the two roads is larger than a preset degree, setting the traffic light corresponding to the road to be a red light, and setting the traffic light of the other road to be a green light. According to the invention, firstly, on the basis of the vehicle positioning information, the crowded grade of two roads at the crossroad are analyzed, and when the crowded grade of only one road in the two roads is larger than a preset degree, the traffic light corresponding to the road is set to be a red light, and the traffic light of the other road is set to be a green light, therefore the condition that vehicles on the two roads cannot be dispersed is avoided, the vehicle dispersion effect of roads on the crossroad is improved, and the traffic jam phenomenon is reduced.
Description
Technical Field
The invention relates to the technical field of traffic control, in particular to an intelligent control method and system for traffic lights at a crossroad based on vehicle positioning.
Background
As is well known, in order to ensure the safety of road traffic as much as possible, traffic lights are installed at many crossroads nowadays, and the traffic lights at the crossroads are switched to prohibit or allow the vehicles on a certain road to move.
At present, the traffic lights at the crossroads are mainly switched and controlled in a timing switching mode, and in this mode, under the condition that two roads (namely, the road a and the road B) at the crossroads are both unblocked, vehicles can be effectively dredged, however, once a traffic jam phenomenon occurs on a certain road (if the road a) at the crossroads, when the traffic light of the road a is switched to the green light according to the timing switching mode and the traffic light of the road B is switched to the red light, the road a cannot be dredged because the traffic light is originally in a jam state, and the road B cannot be dredged because the corresponding traffic light is the red light. Moreover, there may be a situation where the number of vehicles on the road a is too large, so that the vehicles on the road a are jammed at the intersection, and even if the traffic light of the road B is switched to the green light, the vehicles on the road a are already at the intersection, so that the normal traffic of the vehicles on the road B is hindered. Therefore, when a traffic jam occurs on a certain road at the crossroad, the way of switching the traffic lights at regular time cannot effectively improve the vehicle dispersion effect, and even the traffic jam may be aggravated.
In conclusion, how to improve the vehicle dispersion effect of the road at the intersection and reduce the traffic jam is the problem to be solved at present.
Disclosure of Invention
In view of the above, the present invention aims to provide an intelligent control method and system for traffic lights at an intersection based on vehicle positioning, which improves the vehicle dispersion effect of roads at the intersection and reduces the traffic jam. The specific scheme is as follows:
an intelligent control method for red and green lights of a crossroad based on vehicle positioning comprises the following steps:
acquiring vehicle positioning information on two roads forming the crossroad in real time;
analyzing the congestion degree of each road in the two roads in real time by using the vehicle positioning information;
and when the congestion degree of one road is larger than the preset degree, setting the corresponding traffic light on the road as a red light, and setting the corresponding traffic light on the other road as a green light.
Preferably, the process of acquiring vehicle positioning information on two roads forming the intersection in real time includes:
based on the GPS positioning technology, vehicles on all roads are positioned in real time, and the obtained vehicle positioning information is uploaded to a GPS positioning center in real time;
and extracting the vehicle positioning information on the two roads in real time from the GPS positioning center by using the position information of the two roads.
Preferably, the process of acquiring vehicle positioning information on two roads forming the intersection in real time includes:
based on a WIFI positioning technology, vehicles on all roads are positioned in real time, and the obtained vehicle positioning information is uploaded to a WIFI positioning center in real time;
and extracting vehicle positioning information on the two roads in real time from the WIFI positioning center by using the position information of the two roads.
Preferably, the method further comprises:
and if the congestion degree of each road in the two roads is not greater than the preset degree, carrying out timing switching control on the traffic lights on the two roads according to a conventional traffic light timing switching mode.
Preferably, the method further comprises:
and if the congestion degree of each road in the two roads is greater than the preset degree, keeping the current working state of the traffic lights on the two roads.
The invention also discloses a crossroad red and green light intelligent control system based on vehicle positioning, which comprises:
the positioning information acquisition device is used for acquiring vehicle positioning information on two roads forming the crossroad in real time;
the congestion degree analysis device is used for analyzing the congestion degree of each road in the two roads in real time by utilizing the vehicle positioning information;
and the traffic light control device is used for setting the corresponding traffic light on the road as a red light and setting the corresponding traffic light on the other road as a green light when the congestion degree of one or only one of the two roads is greater than the preset degree.
Preferably, the positioning information acquiring apparatus includes:
the GPS positioning platform is used for positioning vehicles on all roads in real time based on a GPS positioning technology and uploading the obtained vehicle positioning information to a GPS positioning center in real time;
and the first information extraction module is used for extracting the vehicle positioning information on the two roads in real time from the GPS positioning center by using the position information of the two roads.
Preferably, the positioning information acquiring apparatus includes:
the WIFI positioning platform is used for positioning vehicles on all roads in real time based on a WIFI positioning technology and uploading the obtained vehicle positioning information to a WIFI positioning center in real time;
and the second information extraction module is used for extracting vehicle positioning information on the two roads from the WIFI positioning center in real time by using the position information of the two roads.
Preferably, the traffic light control device is further configured to perform timing switching control on the traffic lights on the two roads according to a conventional traffic light timing switching manner if the congestion degree of each of the two roads is not greater than the preset degree.
Preferably, the traffic light control device is further configured to maintain the current working state of the traffic lights on the two roads if the congestion degree of each of the two roads is greater than the preset degree.
The invention discloses an intelligent control method of crossroad traffic lights, which comprises the following steps: acquiring vehicle positioning information on two roads forming the crossroad in real time; analyzing the congestion degree of each of the two roads in real time by using the vehicle positioning information; and when the congestion degree of one road is larger than the preset degree, the corresponding traffic light on the road is set as a red light, and the corresponding traffic light on the other road is set as a green light. Therefore, the method and the device can analyze the congestion degree of two roads at the intersection based on the vehicle positioning information, and when the congestion degree of one of the two roads is larger than the preset degree, the traffic light on the road is set as the red light, and the traffic light on the other road is set as the green light, so that the road with the lower congestion degree can keep the vehicle passing state, the condition that the vehicles cannot be dredged on the two roads is avoided, the vehicle dredging effect of the roads at the intersection is improved, and the traffic congestion phenomenon is reduced.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the provided drawings without creative efforts.
FIG. 1 is a flow chart of an intelligent control method for traffic lights at a crossroad based on vehicle positioning, disclosed in an embodiment of the present invention;
fig. 2 is a schematic structural diagram of an intelligent crossroad red and green light control system based on vehicle positioning, which is disclosed by the embodiment of the invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The embodiment of the invention discloses an intelligent control method for red and green lights of a crossroad based on vehicle positioning, which is shown in figure 1 and comprises the following steps:
step S11: acquiring vehicle positioning information on two roads forming the crossroad in real time;
step S12: analyzing the congestion degree of each of the two roads in real time by using the vehicle positioning information;
step S13: and when the congestion degree of one road is larger than the preset degree, the corresponding traffic light on the road is set as a red light, and the corresponding traffic light on the other road is set as a green light.
In step S12, the degree of congestion of the road may be measured by factors such as the moving speed of the vehicle and the number of vehicles on the road. It can be understood that the moving speed of the vehicle and the number of vehicles on the road can be obtained by analyzing the vehicle positioning information in real time.
The preset degree in step S13 may be set manually according to actual conditions, and when the congestion degree of the road is higher than the preset degree, the road is considered to be congested, and is not suitable for normal traffic.
In addition, regarding step S13 above, once one of the two roads at the intersection has a congestion degree greater than a preset degree, the traffic light on the road is forced to be red, that is, if the traffic light on the road is green, the green light is forced to be red, and if the traffic light on the road is red, the red state is still maintained; and, the traffic light on the other road is forcibly set to green, that is, if the traffic light on the other road is red at this time, the red light is forcibly switched to green, and if the traffic light on the other road is green at this time, the green light is still maintained.
In the embodiment of the invention, the intelligent control method for the traffic lights at the crossroad comprises the following steps: acquiring vehicle positioning information on two roads forming the crossroad in real time; analyzing the congestion degree of each of the two roads in real time by using the vehicle positioning information; and when the congestion degree of one road is larger than the preset degree, the corresponding traffic light on the road is set as a red light, and the corresponding traffic light on the other road is set as a green light.
Therefore, the embodiment of the invention firstly analyzes the congestion degrees of the two roads at the intersection based on the vehicle positioning information, and when one of the two roads has the congestion degree larger than the preset degree, the traffic light on the road is set as the red light, and the traffic light on the other road is set as the green light, so that the road with the lower congestion degree can keep the vehicle passing state, the condition that the vehicles cannot be dredged on the two roads is avoided, the vehicle dredging effect of the road at the intersection is improved, and the traffic congestion phenomenon is reduced.
The embodiment of the invention discloses a specific crossroad traffic light intelligent control method based on vehicle positioning, and compared with the previous embodiment, the embodiment further explains and optimizes the technical scheme. Specifically, the method comprises the following steps:
in step S11 of the previous embodiment, the process of obtaining the vehicle positioning information on two roads forming the intersection in real time may specifically include: based on a GPS (global positioning system), vehicles on all roads are positioned in real time, and the obtained vehicle positioning information is uploaded to a GPS positioning center in real time; and extracting the vehicle positioning information on the two roads in real time from the GPS positioning center by using the position information of the two roads.
It can be understood that when the vehicle is located based on the GPS location technology, the vehicle-mounted GPS on the vehicle or the GPS on the driver's handheld mobile terminal needs to be used to complete the real-time location of the vehicle.
Of course, the process of acquiring the vehicle positioning information on the two roads forming the intersection in real time may specifically include: based on a WIFI positioning technology (WIFI), positioning vehicles on all roads in real time, and uploading the obtained vehicle positioning information to a WIFI positioning center in real time; and the vehicle positioning information on the two roads is extracted from the WIFI positioning center in real time by utilizing the position information of the two roads.
It can be understood that when the vehicle is positioned based on the WIFI positioning technology, the vehicle-mounted WIFI module on the vehicle or the WIFI module on the handheld mobile terminal of the driver needs to be used, and the WIFI module also needs to depend on WIFI hotspots around the road. When the WIFI module on the vehicle-mounted WIFI module or the handheld mobile terminal is connected with the WIFI hotspots around the road, the vehicle can be positioned in real time by analyzing the distance and the phase angle between the WIFI module and the WIFI hotspots.
Further, the method in this embodiment further includes: and if the congestion degree of each road in the two roads is not greater than the preset degree, carrying out timing switching control on the traffic lights on the two roads according to a conventional traffic light timing switching mode. That is, in the case that the congestion degree of the two roads is low, the present embodiment preferentially adopts the timing switching manner to control the traffic lights at the intersection.
In addition, the method in this embodiment may further include: and if the congestion degree of each road in the two roads is greater than the preset degree, keeping the working state of the traffic lights on the two roads at present.
Correspondingly, the embodiment of the invention also discloses an intelligent control system for the red and green lights of the crossroad based on vehicle positioning, which is shown in fig. 2 and comprises:
a positioning information acquiring device 21 for acquiring vehicle positioning information on two roads forming the intersection in real time;
a congestion degree analyzing device 22 for analyzing the congestion degree of each of the two roads in real time by using the vehicle positioning information;
and the traffic light control device 23 is configured to set the traffic light corresponding to the road as a red light and set the traffic light corresponding to the other road as a green light when the congestion degree of one or only one of the two roads is greater than the preset degree.
Specifically, the positioning information acquiring device in the embodiment of the present invention may specifically include a GPS positioning platform and a first information extracting module; wherein,
the GPS positioning platform is used for positioning vehicles on all roads in real time based on a GPS positioning technology and uploading the obtained vehicle positioning information to a GPS positioning center in real time;
and the first information extraction module is used for extracting the vehicle positioning information on the two roads in real time from the GPS positioning center by utilizing the position information of the two roads.
It can be understood that, when the vehicle is located based on the GPS location technology, the vehicle-mounted GPS on the vehicle or the GPS on the driver's handheld mobile terminal needs to be used, and the GPS location platform can complete real-time location of the vehicle by using the vehicle-mounted GPS or the GPS on the handheld mobile terminal.
Certainly, the positioning information acquiring apparatus in the embodiment of the present invention may specifically include a WIFI positioning platform and a second information extracting module; wherein,
the WIFI positioning platform is used for positioning vehicles on all roads in real time based on a WIFI positioning technology and uploading the obtained vehicle positioning information to a WIFI positioning center in real time;
and the second information extraction module is used for extracting vehicle positioning information on the two roads in real time from the WIFI positioning center by utilizing the position information of the two roads.
It can be understood that when the vehicle is positioned based on the WIFI positioning technology, the vehicle-mounted WIFI module on the vehicle or the WIFI module on the handheld mobile terminal of the driver needs to be used, and the WIFI module also needs to depend on WIFI hotspots around the road. When the WIFI module on the vehicle-mounted WIFI module or the handheld mobile terminal is connected with the WIFI hotspots around the road, the vehicle can be positioned in real time by the WIFI positioning platform through analyzing the distance and the phase angle between the WIFI module and the WIFI hotspots.
In this embodiment, the traffic light control device may further be configured to perform timing switching control on the traffic lights on the two roads according to a conventional traffic light timing switching manner if the congestion degree of each of the two roads is not greater than the preset degree.
In addition, the traffic light control device can also be used for keeping the working state of the traffic lights on the two roads at present if the congestion degree of each road in the two roads is greater than the preset degree.
According to the embodiment of the invention, firstly, the congestion degrees of two roads at the intersection are analyzed based on the vehicle positioning information, and when the congestion degree of one of the two roads is larger than the preset degree, the traffic light on the road is set as the red light, and the traffic light on the other road is set as the green light, so that the road with the lower congestion degree can keep the vehicle passing state, the condition that the vehicles cannot be dredged on the two roads is avoided, the vehicle dredging effect of the road at the intersection is improved, and the traffic congestion phenomenon is reduced.
Finally, it should also be noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
The crossroad traffic light intelligent control method and system based on vehicle positioning provided by the invention are described in detail, a specific example is applied in the text to explain the principle and the implementation mode of the invention, and the description of the embodiment is only used for helping to understand the method and the core idea of the invention; meanwhile, for a person skilled in the art, according to the idea of the present invention, there may be variations in the specific embodiments and the application scope, and in summary, the content of the present specification should not be construed as a limitation to the present invention.
Claims (10)
1. The intelligent control method for the red and green lights of the crossroad based on vehicle positioning is characterized by comprising the following steps of:
acquiring vehicle positioning information on two roads forming the crossroad in real time;
analyzing the congestion degree of each road in the two roads in real time by using the vehicle positioning information;
and when the congestion degree of one road is larger than the preset degree, setting the corresponding traffic light on the road as a red light, and setting the corresponding traffic light on the other road as a green light.
2. The intelligent control method for crossroad traffic lights based on vehicle positioning as claimed in claim 1, wherein the process of acquiring in real time the vehicle positioning information on two roads forming the crossroad comprises:
based on the GPS positioning technology, vehicles on all roads are positioned in real time, and the obtained vehicle positioning information is uploaded to a GPS positioning center in real time;
and extracting the vehicle positioning information on the two roads in real time from the GPS positioning center by using the position information of the two roads.
3. The intelligent control method for crossroad traffic lights based on vehicle positioning as claimed in claim 1, wherein the process of acquiring in real time the vehicle positioning information on two roads forming the crossroad comprises:
based on a WIFI positioning technology, vehicles on all roads are positioned in real time, and the obtained vehicle positioning information is uploaded to a WIFI positioning center in real time;
and extracting vehicle positioning information on the two roads in real time from the WIFI positioning center by using the position information of the two roads.
4. The intelligent control method for crossroad traffic lights based on vehicle positioning as claimed in any one of claims 1 to 3, further comprising:
and if the congestion degree of each road in the two roads is not greater than the preset degree, carrying out timing switching control on the traffic lights on the two roads according to a conventional traffic light timing switching mode.
5. The intelligent control method for crossroad traffic lights based on vehicle positioning as claimed in claim 4, further comprising:
and if the congestion degree of each road in the two roads is greater than the preset degree, keeping the current working state of the traffic lights on the two roads.
6. The utility model provides a crossroad red green light intelligence control system based on vehicle location which characterized in that includes:
the positioning information acquisition device is used for acquiring vehicle positioning information on two roads forming the crossroad in real time;
the congestion degree analysis device is used for analyzing the congestion degree of each road in the two roads in real time by utilizing the vehicle positioning information;
and the traffic light control device is used for setting the corresponding traffic light on the road as a red light and setting the corresponding traffic light on the other road as a green light when the congestion degree of one or only one of the two roads is greater than the preset degree.
7. The intelligent control system for a crossroad red and green light based on vehicle positioning as claimed in claim 6, wherein the positioning information obtaining means comprises:
the GPS positioning platform is used for positioning vehicles on all roads in real time based on a GPS positioning technology and uploading the obtained vehicle positioning information to a GPS positioning center in real time;
and the first information extraction module is used for extracting the vehicle positioning information on the two roads in real time from the GPS positioning center by using the position information of the two roads.
8. The intelligent control system for a crossroad red and green light based on vehicle positioning as claimed in claim 6, wherein the positioning information obtaining means comprises:
the WIFI positioning platform is used for positioning vehicles on all roads in real time based on a WIFI positioning technology and uploading the obtained vehicle positioning information to a WIFI positioning center in real time;
and the second information extraction module is used for extracting vehicle positioning information on the two roads from the WIFI positioning center in real time by using the position information of the two roads.
9. The intelligent control system for red and green lights of crossroad based on vehicle positioning according to any one of claims 6 to 8,
and the traffic light control device is also used for carrying out timing switching control on the traffic lights on the two roads according to a conventional traffic light timing switching mode if the congestion degree of each road in the two roads is not greater than the preset degree.
10. The intelligent crossroad red-green light control system based on vehicle positioning according to claim 9,
and the traffic light control device is further used for keeping the current working state of the traffic lights on the two roads if the congestion degree of each road in the two roads is greater than the preset degree.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610113162.5A CN105702058A (en) | 2016-02-29 | 2016-02-29 | Crossroad traffic light intelligent control method and system on the basis of vehicle positioning |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610113162.5A CN105702058A (en) | 2016-02-29 | 2016-02-29 | Crossroad traffic light intelligent control method and system on the basis of vehicle positioning |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN105702058A true CN105702058A (en) | 2016-06-22 |
Family
ID=56223613
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201610113162.5A Pending CN105702058A (en) | 2016-02-29 | 2016-02-29 | Crossroad traffic light intelligent control method and system on the basis of vehicle positioning |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN105702058A (en) |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106448199A (en) * | 2016-09-21 | 2017-02-22 | 山东科技大学 | Traffic control method based on text mining |
| CN107123264A (en) * | 2017-05-31 | 2017-09-01 | 温州市鹿城区中津先进科技研究院 | A kind of method that abnormal congestion is judged based on traffic big data |
| CN107507422A (en) * | 2017-08-22 | 2017-12-22 | 浙江大学 | The intelligent vehicle control that self scheduling and traffic congestion can be achieved and perceive based on Internet of Things |
| CN107862876A (en) * | 2017-03-27 | 2018-03-30 | 平安科技（深圳）有限公司 | Traffic lamp control method and device |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US6333701B1 (en) * | 1996-11-27 | 2001-12-25 | Gary L. Mee | Vibration actuated traffic monitoring system |
| US20030210156A1 (en) * | 2002-05-13 | 2003-11-13 | Sumitomo Electric Industries, Ltd. | Traffic signal control method |
| CN101123041A (en) * | 2006-08-10 | 2008-02-13 | 深圳市哈工大交通电子技术有限公司 | A traffic signal lamp control method and traffic signal lamp system |
| CN202008734U (en) * | 2011-04-29 | 2011-10-12 | 张源钊 | Intelligent signal lamp controlling means for preventing traffic jam |
| CN102637364A (en) * | 2012-01-16 | 2012-08-15 | 北京交通大学 | Adaptive signal method capable of avoiding deadlock of intersection and device |
| CN104008656A (en) * | 2014-06-16 | 2014-08-27 | 上海萃智工业技术有限公司 | Intelligent traffic light system |
-
2016
- 2016-02-29 CN CN201610113162.5A patent/CN105702058A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US6333701B1 (en) * | 1996-11-27 | 2001-12-25 | Gary L. Mee | Vibration actuated traffic monitoring system |
| US20030210156A1 (en) * | 2002-05-13 | 2003-11-13 | Sumitomo Electric Industries, Ltd. | Traffic signal control method |
| CN101123041A (en) * | 2006-08-10 | 2008-02-13 | 深圳市哈工大交通电子技术有限公司 | A traffic signal lamp control method and traffic signal lamp system |
| CN202008734U (en) * | 2011-04-29 | 2011-10-12 | 张源钊 | Intelligent signal lamp controlling means for preventing traffic jam |
| CN102637364A (en) * | 2012-01-16 | 2012-08-15 | 北京交通大学 | Adaptive signal method capable of avoiding deadlock of intersection and device |
| CN104008656A (en) * | 2014-06-16 | 2014-08-27 | 上海萃智工业技术有限公司 | Intelligent traffic light system |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106448199A (en) * | 2016-09-21 | 2017-02-22 | 山东科技大学 | Traffic control method based on text mining |
| CN107862876A (en) * | 2017-03-27 | 2018-03-30 | 平安科技（深圳）有限公司 | Traffic lamp control method and device |
| CN107123264A (en) * | 2017-05-31 | 2017-09-01 | 温州市鹿城区中津先进科技研究院 | A kind of method that abnormal congestion is judged based on traffic big data |
| CN107507422A (en) * | 2017-08-22 | 2017-12-22 | 浙江大学 | The intelligent vehicle control that self scheduling and traffic congestion can be achieved and perceive based on Internet of Things |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US12043268B2 (en) | Vehicle driver performance based on contextual changes and driver response | |
| US9335178B2 (en) | Method for using street level images to enhance automated driving mode for vehicle | |
| US20190035266A1 (en) | Systems and methods for road user classification, position, and kinematic parameter measuring and reporting via a digital telecommunication network | |
| CN105702058A (en) | Crossroad traffic light intelligent control method and system on the basis of vehicle positioning | |
| US9751463B1 (en) | Enabling improved emergency response via a vehicle flow buffer | |
| US20130191020A1 (en) | Adaptable navigation device | |
| DE102016205972A1 (en) | Method for the autonomous or semi-autonomous execution of a cooperative driving maneuver | |
| CN105825684A (en) | Smart city cloud street lamp system | |
| US20240096215A1 (en) | Technology for situational modification of autonomous vehicle operation | |
| US20210158697A1 (en) | Intersection and road monitoring for distracted or unsafe drivers | |
| EP2807640A1 (en) | Method for state estimation of a road network | |
| DE112012006364B4 (en) | Driver assistance device | |
| CN104252778B (en) | Method for collecting, processing and publishing traffic information | |
| KR102497716B1 (en) | Control server that porvides an advisory speed limit for autonomous vehicle | |
| US20190306956A1 (en) | On-Demand Street Lighting for a Connected Vehicle | |
| US20230132904A1 (en) | Method, Apparatus, And System for Processing Vehicle-Road Collaboration Information | |
| CN105809095A (en) | Method for determining traffic crossing traffic state | |
| US10580302B2 (en) | Optimization of a motion profile for a vehicle | |
| US10906556B2 (en) | System and method for oncoming vehicle warning | |
| CN113038423B (en) | Intelligent strip mine multimode communication system selection method based on road cloud cooperation | |
| SE1550429A1 (en) | Device and method for classification of road segment | |
| CN111002901A (en) | Method for warning a vehicle driver about a potentially dangerous traffic situation | |
| CN200996120Y (en) | Man-vehicle hybrid crossroad | |
| CN100449058C (en) | Arrange method for crossing and crosswalk | |
| Vaughan et al. | The effects of late lane merges on travel times |
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: 20160622 |
|
| RJ01 | Rejection of invention patent application after publication |