CN116110238A - Dynamic control method and system for traffic light - Google Patents
Dynamic control method and system for traffic light Download PDFInfo
- Publication number
- CN116110238A CN116110238A CN202310369581.5A CN202310369581A CN116110238A CN 116110238 A CN116110238 A CN 116110238A CN 202310369581 A CN202310369581 A CN 202310369581A CN 116110238 A CN116110238 A CN 116110238A
- Authority
- CN
- China
- Prior art keywords
- lane
- traffic
- green
- queuing
- network
- 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.)
- Granted
Links
Images
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
-
- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/07—Controlling traffic signals
- G08G1/087—Override of traffic control, e.g. by signal transmitted by an emergency vehicle
-
- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/09—Arrangements for giving variable traffic instructions
- G08G1/095—Traffic lights
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02B—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
- Y02B20/00—Energy efficient lighting technologies, e.g. halogen lamps or gas discharge lamps
- Y02B20/40—Control techniques providing energy savings, e.g. smart controller or presence detection
Landscapes
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Business, Economics & Management (AREA)
- Emergency Management (AREA)
- Traffic Control Systems (AREA)
Abstract
The invention discloses a dynamic control method and a dynamic control system for traffic lights. The traffic light signal dispatching method comprises the steps that lane sensors are arranged on all lanes of a plurality of adjacent main road intersections in a control area, a secondary sensor network is formed by the lane sensors and traffic lights, a primary dispatching network is formed by a controller and a traffic server, and signal dispatching of the traffic lights is controlled by a distributed network formed by the secondary sensor network and the primary dispatching network. The traffic server generates a first green signal ratio to adjust the traffic light to enter an initial working state, then detects the vehicle queuing situation through the lane sensor, generates a second green signal ratio based on the vehicle queuing situation, analyzes the second green signal ratio through the controller, and transmits corresponding working parameters to the traffic light to realize dynamic changes of the green wave speed, the cycle starting moment, the public cycle and the phase difference of the traffic light.
Description
Technical Field
The present invention relates to traffic control systems, and more particularly, to a method and system for dynamically controlling traffic lights.
Background
The construction of the intelligent traffic network is an effective means for relieving traffic pressure and improving the traffic efficiency of the urban traffic network. At present, most cities establish a supervision control system for dynamically identifying urban traffic jam areas in a saturated state, and lay a foundation for the development and technical progress of intelligent traffic networks. In the prior art, the control and delay adjustment method of the traffic light mainly depends on an intelligent traffic road network management system for control, for example, CN205564033U discloses an intelligent traffic light system based on a sensor network, and the traffic light is controlled through a remote network, so that the linkage adjustment of the traffic network is realized. For another example, CN204332081U discloses an intelligent traffic light device based on NRF905 wireless network, and the cycle of traffic light is adjusted by NRF905 wireless communication module, so as to improve the communication efficiency and the intelligent degree of road network. In the prior art, a management mode in the technical field of intelligent control of traffic lights requires a server to process traffic road condition information of a plurality of intersections of an urban road network in a short time, and corresponding feedback is made according to the traffic road condition information, so that intelligent and automatic adjustment of the traffic lights is realized. Accordingly, there is a need for further improvements in the art.
Disclosure of Invention
The invention provides a dynamic control method of a traffic light aiming at the problems. According to the control method, light vehicle sensors are arranged on a trunk intersection and used for detecting whether vehicles have the problem of out-of-limit queuing, a local sensing network is established, the green-to-signal ratio of the trunk intersection is adjusted through a dispatching network according to traffic conditions of the current trunk intersection and adjacent trunk intersections, and the optimal traffic light operation parameters applicable to the current trunk intersection are generated. Furthermore, the invention also provides a control system for realizing the dynamic control method of the traffic light.
The aim of the invention can be achieved by the following technical means:
a method for dynamically controlling traffic lights, comprising the steps of:
step 1: the control area i comprises j adjacent trunk intersections, a controller is respectively arranged at the j adjacent trunk intersections, and n lane sensors are arranged on each queuing lane distant from the traffic light k;
step 2: the traffic lights in the control area i form a secondary sensing network with n lane sensors through a data transmission terminal, and a controller of any one adjacent trunk road intersection receives wireless communication data from the n lane sensors;
step 3: the traffic server manages the data receiving and transmitting of j controllers to form a primary dispatching network;
step 4: the traffic server obtains real-time road condition information of j adjacent trunk intersections in a control area i to generate a first green-to-blue ratio lambda 1 And the data is sent to a secondary sensing network through a primary dispatching network;
step 5: the second-level sensing network is based on a first green-to-signal ratio lambda 1 Generating a first parameter, enabling traffic lights to work based on the first parameter, and periodically collecting lane information by a lane sensor;
step 6: in one acquisition period, if the lane sensor detects that the current lane has vehicles in line, the step 7 is entered, otherwise, the step 5 is entered;
step 7: the lane sensor sends a data frame to the primary dispatching network, the controller obtains the data frames of a plurality of lane sensors in each trunk line in the control area, generates a lane queuing set and sends the lane queuing set to the traffic server;
step 8: the traffic server judges whether the queuing of each trunk line is overrun based on the lane queuing set, if the queuing is overrun, the step 9 is entered, if the queuing is not overrun, the lane queuing set is cleared, and the step 7 is entered;
step 9: the traffic server generates a second green-to-signal ratio lambda 2 And send to a secondary sensing network based on a second green-to-signal ratio lambda 2 And generating a second parameter, and enabling the traffic light to work according to the second parameter, returning to the step 4, and entering the next acquisition period.
In the invention, the first parameter and the second parameter comprise the green wave speed, the period starting time, the public period and the phase difference of the traffic lights of the main road intersection.
In the invention, data receiving and transmitting between the primary dispatching network and the secondary sensing network are realized through a communication network between the controller and the traffic lights.
In the invention, a first green-to-signal ratio lambda is calculated according to the running time of the vehicle on the current road section 1 ，λ 1 g/C, where g is the number of vehicles passing through the intersection under green light, and C is a preset period.
In the present invention, the passing time of the same vehicle from the upstream and downstream stop lines of the control region i is recorded
Wherein->
For the moment when the nth vehicle passes the stop line of the upstream intersection in the control area i, +.>
N is the moment when the nth vehicle passes through the stop line of the downstream intersection in the control area i t Is the number of vehicles observed in t unit steps.
In the invention, if the primary dispatching network can receive the data frames of the lane sensors on each lane of the same main line and the lane queuing sets and the main line sensing sets prestored in the traffic server form a one-to-one mapping relation, the primary dispatching network judges that the queuing is out of limit.
In the invention, each lane sensor periodically reports the authentication information with the identification code, and the traffic server determines the trunk line and the lane to which the traffic sensor belongs according to the lane sensor authentication information, and generates a trunk line sensing set which is arranged according to the order of receiving the authentication information.
In the present invention, j 1 To control any intersection in region i, j 2 For crossing with main road j 1 Adjacent to and along a main road intersection in the downstream direction of vehicle travel:
if the main road intersection j 2 Over-limit queuing arterial road junction j 1 A second green signal ratio lambda of (2) 2 =λ 1 ；
If the main road intersection j 2 Arterial road junction j without overrun queuing 1 Over-limit queuing, at this time, the main road intersection j 1 Second green-to-signal ratio lambda 2 =[g+△x]and/C, wherein Deltax is the number of vehicles to be increased.
A control system for implementing a dynamic control method of the traffic light, comprising: a traffic server, a controller, traffic lights, a lane sensor data transmission terminal,
the traffic server is used for acquiring real-time road condition information and generating a first green-to-green ratio and a second green-to-green ratio;
the controller is used for receiving the data frame of the lane sensor and generating a lane queuing set;
the traffic light is used for displaying green wave speed, red light, yellow light and green light, and a data transmission terminal is arranged in the traffic light;
the lane sensor is used for detecting whether vehicles are queued in the lane, a signal module is arranged in the lane sensor, wherein,
the controller and the traffic server form a primary dispatching network, and the traffic lights and the lane sensors form a secondary sensing network.
The method and the system for dynamically controlling the traffic light have the following beneficial effects: by arranging the secondary sensor network at the main road intersection, the traffic server does not need to be in huge road network sensor information, only needs to judge whether to adjust the green-to-signal ratio or not according to queuing overrun information transmitted by the secondary sensor network through the data frames of 0 and 1, has smaller data processing capacity, distributes the specific range of green-to-signal ratio adjustment to each secondary sensor for processing, effectively lightens the load of the traffic server, and improves the control efficiency of traffic lights. Furthermore, the lane sensor transmission performs short-distance simplex communication in the area, so that the communication loss is lower, and the long-term stable operation of the secondary sensor network is facilitated.
Drawings
FIG. 1 is a flow chart of an implementation of the method for dynamically controlling traffic lights of the present invention;
FIG. 2 is a schematic view of the arrangement of the lane sensor of the present invention on a lane;
FIG. 3 is a schematic illustration of the path transit time of the traffic flow at the upstream and downstream intersections according to the present invention;
FIG. 4 is a hardware block diagram of a control system for implementing a dynamic traffic light control method of the present invention;
fig. 5 is a schematic diagram of a traffic light suitable for use in the present invention, the traffic light of which includes green wave speed.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention.
The realization of the intelligent road network is very wide in coverage, and the popularization of the intelligent road network also provides a new thought and direction for optimizing traffic network management. In the prior art, the intelligent road network mainly uses the resident network as a carrier for transmitting the data technology by acquiring the road network traffic live information and transmitting the data to the traffic server for unified processing, the road network traffic live information needs to be transmitted for a plurality of times, the communication process between the sensor network constructed by the road network sensor and the resident network server and the traffic server has larger expense, and the long-distance and high-expense data transmission processing process is not beneficial to the timely dynamic traffic management process. Therefore, how to reduce the cost of the intelligent road network as much as possible and improve the communication efficiency of the intelligent road network are the main directions for solving the defects of the existing plans.
The traffic lights are important infrastructure for shunting, managing and scheduling in road network construction, the traffic lights arranged in the prior art are in two forms of fixed period and segmented period, the traffic lights in the fixed period cannot be changed according to environment information, and the segmented period can be divided into a plurality of time periods through timing to perform simple dynamic traffic control. In practical application, the traffic lights of the sectional period are controlled in one way, and are not changed according to the environmental information, and the traffic jam rate of a single intersection is affected by various factors, not only the time period, but also the contribution of the traffic lights of the sectional period to the construction of an intelligent road network and the alleviation of traffic pressure is insufficient. The dynamic control method and the dynamic control system of the traffic light are used for solving the problems.
Example 1
In the present embodiment, a one-way two-lane cross-shaped main road intersection having three flow directions is used as the implementation area. And constructing an independent secondary sensor network at the intersection of the main line, wherein in a control area, a primary dispatching network is formed by a traffic server and a controller, and a plurality of secondary sensor networks subordinate to the primary dispatching network are regarded as independent nodes and are communicated with the primary dispatching network. The secondary sensor network monitors information of each lane through the lane sensor, and the lane sensor on each lane is regarded as an independent node in the secondary sensor network and is communicated with the secondary dispatching network. Referring to fig. 1, the implementation of the dynamic control method of the traffic light comprises the following steps:
step 1: a plurality of limited main road intersections are defined as a control area i, the control area i comprises j adjacent main road intersections, a controller is respectively arranged at the j adjacent main road intersections, and n lane sensors are arranged on each queuing lane distant from a traffic light k.
In this embodiment, the lane sensor is used to determine whether there is a vehicle stop at the current lane position. Referring to fig. 2, on one lane a, lane sensors are sequentially arranged at intervals of a distance d, a distance between a first lane sensor A1 and a start and stop line of a traffic light is k, and k is defined as a critical value of a queuing overrun distance. When the first lane sensor A1 detects that the vehicle stays, the current lane queuing length exceeds k, and the current lane queuing length is defined as the excessive queuing.
Step 2: the traffic lights in the control area i form a secondary sensor network with n lane sensors through the data transmission terminal, and any one controller receives wireless communication data from the n lane sensors.
In the secondary sensor network, the lane sensor is a terminal node, the data transmission terminal is a sink node, and the controller is a transceiver device. An Ad-Hoc network is formed between the lane sensors, and each frame of communication information is sent to data transmission terminals of traffic lights through multi-hop self-organization among the lane sensors, and any one data transmission terminal manages data transmission and reception of all lanes in a main line.
In this embodiment, the data transmission and reception between the primary dispatching network and the secondary sensing network is implemented based on the communication process between the controller and the traffic light. The lane occupation information monitored by the secondary sensing network is sent to the controller through the data transmission terminal, enters the primary dispatching network, and is sent to the traffic server after being received by the controller.
Step 3: the traffic server manages the data receiving and transmitting of j controllers of j adjacent main road intersections to form a primary dispatching network. The traffic server is a cloud server of an Internet traffic service platform of the public security department and comprises real-time traffic road condition information in each area of the city. The controller and the traffic server are connected through a residence network optical fiber to form a primary dispatching network.
Step 4: the controller communicates with a traffic server through an API interface, the traffic server acquires real-time road condition information of j adjacent trunk intersections in a control area i, sends the real-time road condition information to the controller, and generates a first green-to-blue ratio lambda 1 Transmitting to a secondary sensing network, wherein the first green-to-signal ratio lambda 1 Calculation based on the vehicle travel time of the current road segment lambda 1 g/C, where g is the number of vehicles passing through the intersection under an active green light, C is a default period, and the preferred preset value is 50s.
In this embodiment, referring to fig. 3, the traffic video information acquisition system video devices are disposed at the upstream intersection and the downstream intersection, and the traffic video information acquisition system video devices record the time when the nth vehicle passes through the downstream stop line instantaneously by identifying the number of the vehicle, which is recorded as
Recording the time when the nth vehicle instantaneously passes through the upstream stop line +.>
Journey through time
Wherein N is t Is the number of vehicles observed in the t time step.
In the process of recording the license plate number of the vehicle, the video equipment of the traffic video information acquisition system may have problem data in the counted journey passing time, and the recorded data of the abnormal journey passing time is solved after the data is preprocessed. In the present embodiment, by setting the limiting conditions:
defining condition 1: the controller sets a screening interval with a minimum value of 10% E and a maximum value of 3600s, and defines
The values of (1) are element values in a screening interval, the element values in the screening interval form a primary screening set Y, and the controller deletes the path passing time data outside the primary screening set Y;
defining condition 2: the median number of the element values within the screening interval as described in constraint 1 is noted as h t,i The controller sets a checking interval with the minimum value of h t,i E, maximum value is h t,i +E, definition
Value e [ h ] t,i -E,h t,i +E]Controller delete does not satisfy +.>
Values ∉ [ h ] t,i -E,h t,i +E]Is provided, wherein,
。
step 5: the second-level sensing network is based on a first green-to-signal ratio lambda 1 Generating a first parameter, transmitting the first parameter to a data transmission terminal, analyzing first parameter information by a traffic light, working with the analyzed first parameter information, periodically collecting lane information by a lane sensor, and transmitting communication data with a primary dispatching network by a signal module while maintaining interruption.
Step 6: in one acquisition period, if the lane sensor detects that the current lane has vehicles in line, the step 7 is entered, otherwise, the step 5 is entered.
The lane sensors emit infrared rays according to fixed frequency, and if the reflected infrared rays can be received within fixed time, the lane is not blocked at the moment, and vehicles are not queued; if the reflected infrared rays cannot be received within the fixed time, the situation that the lane is blocked and the vehicle passes or stops is indicated, the lane sensor immediately sends another incident infrared ray at the moment, the reflected infrared rays are received in a plurality of continuous periods, the situation that the vehicle stops at the current lane detection position, namely the vehicle is queued, and otherwise, the vehicle passes.
Step 7: the trigger signal module is in communication with the primary dispatching network through wireless network coverage, and transmits a data frame to the primary dispatching network, and the controller acquires the data frames of a plurality of lane sensors in each trunk line in the control area, generates a lane queuing set and transmits the lane queuing set to the traffic server.
In this embodiment, in order to reduce the energy loss of the lane sensor, the data frame is a differential signal, the data size is very small, and when the controller receives the differential signal, the controller determines the sending logic state of the signal module according to the voltage difference, the signal module is interrupted and is marked as "0", the signal module is not queued corresponding to the current lane, and the signal module is triggered and is marked as "1".
Step 8: the traffic server judges whether the queuing of each trunk line is out of limit based on the lane queuing set, if the queuing is out of limit, the step 9 is entered, and if the queuing is not out of limit, the lane queuing set is cleared, and the step 7 is entered.
Whether vehicles are queued in each lane on the main line is the only condition for judging that the queuing exceeds the limit. When the same traffic flow converging flow in the lane queuing sets each lane upwards, judging that the queuing is out of limit; if at least one lane exists in the same traffic flow converging flow direction and no vehicles are queued, the fact that the queuing is not overrun is judged. In this embodiment, the queuing state of the same traffic flow in front of the traffic light is divided into three traffic flows, namely, a straight traffic flow, a left-turning traffic flow and a right-turning traffic flow, and the inflow directions of the three traffic flows are all kept independent.
Step 9: the traffic server generates a second green-to-signal ratio lambda 2 And send to a secondary sensing network based on a second green-to-signal ratio lambda 2 And generating a second parameter, and enabling the traffic light to work according to the second parameter and enter the next acquisition period.
In the present practiceIn the embodiment, x lane sensors are arranged on any lane in a main line intersection at equal intervals, the intervals among the lane sensors are d at equal intervals, and the minimum value delta k of the queuing overrun length is the minimum value delta k min > 0, maximum value Deltak of queue overrun length max And less than or equal to nd, theoretically, the queuing overrun length is infinite, and the current lane queuing length is (k+Deltak) only by considering the setting of the queuing overrun maximum value in the monitoring range of the lane sensor. When 0 < (k+ [ delta ] k) [ delta ] is less than or equal to d, the common period [ delta ] C is increased 1 The method comprises the steps of carrying out a first treatment on the surface of the When d is less than (k+ [ delta ] k) and less than or equal to 2d, the common period [ delta ] C is increased 2 The method comprises the steps of carrying out a first treatment on the surface of the When (n-1) d < (k+ [ delta ] k). Ltoreq.nd, the common period [ delta ] C is increased n 。
Example two
The present embodiment describes a method for generating the first parameter and the second parameter based on the green signal ratio λ. The first parameter and the second parameter are green wave speed v, cycle starting time W, public cycle delta C and phase difference L of the traffic lights of the main road intersection in the control area i under different states.
In this embodiment, the first parameter and the second parameter are the green wave speed v, the period starting time W, the common period Δc, the phase difference L, and the phase timing Q of the traffic light of the main road intersection in the control area i under different states. The same traffic flow is converged on the lanes of the opposite main road intersection to form the same flow direction, and the opposite flow directions of different traffic flows are converged, so that the opposite main road intersection at most comprises two identical flow directions and two opposite flow directions at the same moment according to the traffic flow converging and passing rules of the main road intersection. The public period deltac=g/lambda is set, lambda is the green letter ratio set by the current traffic server.
Vehicles traveling at an upstream intersection to a downstream intersection need to ensure that, in a green light passing period, for any two adjacent trunk intersections, respectively upstream trunk intersection j m Intersection j with main line downstream n The set phase difference
Wherein, the method comprises the steps of, wherein,
main line intersection j m To j n Distance in the downlink direction,/>
For main line intersection j n To j m Distance in uplink direction, mu 1 And mu 2 To meet the condition->
W is the starting time of the cycle.
In an ideal state, the main line intersection j m The starting time of the uplink and downlink traffic flows at a certain time is t jm Then the intersection j of the adjacent main line n The cycle start time set at this time
The method comprises the steps of carrying out a first treatment on the surface of the When the main line crossing j n The starting time of the uplink and downlink traffic flows at a certain time is t jn Then the intersection j of the adjacent main line m The cycle start time set at this time
Wherein μ is 3 To satisfy the condition (t jm 0 or 1, mu of delta C) 4 To satisfy the condition (t jm 0 or 1 of ≡.0).
In non-ideal conditions, trunk intersection j m And j is equal to n The cycle start time of (a) needs to be adjusted to adapt to the optimal green wave speed, an adjustment amount DeltaW is set,
wherein DeltaW is less than or equal to (1/2) DeltaC, wherein mu 5 0 or 1 of delta C is less than or equal to (1/2) delta W.
Example III
Referring to fig. 4, the present embodiment discloses a control system for implementing a dynamic control method of a traffic light, including: the traffic system comprises a traffic server, a controller, traffic lights, lane sensors, a signal module and a data transmission terminal. The traffic server is used for acquiring real-time road condition information, judging whether each trunk line is overrun, generating a first green-signal ratio and a second green-signal ratio, and forming a primary dispatching network with the server. The controller is used for receiving the data frame of the lane sensor, generating a lane queuing set and forming a primary dispatching network with the server. The traffic lights display green wave speed, red lights, yellow lights and green lights, and the traffic lights and the lane sensors form a secondary sensing network. The lane sensor detects whether vehicles are queued in the lane, and forms a secondary sensing network with the traffic lights. The signal module is arranged in the lane sensor and carries out simplex communication with the primary sensor network, and has two states of interruption/triggering. The data transmission terminal is arranged in the traffic light and is in full duplex communication with the primary sensing network. The control system of this embodiment may be used for the traffic intersection shown in fig. 5, which includes four intersections, where the stop line of each intersection is provided with a traffic light, and the traffic light includes a green wave speed.
The foregoing description of the preferred embodiments of the invention is not intended to be limiting, but rather is intended to cover all modifications, equivalents, and alternatives falling within the spirit and scope of the invention.
Claims (9)
1. A method for dynamically controlling a traffic light, comprising the steps of:
step 1: the control area i comprises j adjacent trunk intersections, a controller is respectively arranged at the j adjacent trunk intersections, and n lane sensors are arranged on each queuing lane distant from the traffic light k;
step 2: the traffic lights in the control area i form a secondary sensing network with n lane sensors through a data transmission terminal, and a controller of any one adjacent trunk road intersection receives wireless communication data from the n lane sensors;
step 3: the traffic server manages the data receiving and transmitting of j controllers to form a primary dispatching network;
step 4: the traffic server obtains real-time road condition information of j adjacent trunk intersections in a control area i to generate a first green-to-blue ratio lambda 1 And the data is sent to a secondary sensing network through a primary dispatching network;
step 5: two-stage sensing network baseAt a first green-to-signal ratio lambda 1 Generating a first parameter, enabling traffic lights to work based on the first parameter, and periodically collecting lane information by a lane sensor;
step 6: in one acquisition period, if the lane sensor detects that the current lane has vehicles in line, the step 7 is entered, otherwise, the step 5 is entered;
step 7: the lane sensor sends a data frame to the primary dispatching network, the controller obtains the data frames of a plurality of lane sensors in each trunk line in the control area, generates a lane queuing set and sends the lane queuing set to the traffic server;
step 8: the traffic server judges whether the queuing of each trunk line is overrun based on the lane queuing set, if the queuing is overrun, the step 9 is entered, if the queuing is not overrun, the lane queuing set is cleared, and the step 7 is entered;
step 9: the traffic server generates a second green-to-signal ratio lambda 2 And send to a secondary sensing network based on a second green-to-signal ratio lambda 2 And generating a second parameter, and enabling the traffic light to work according to the second parameter, returning to the step 4, and entering the next acquisition period.
2. The method according to claim 1, wherein the first parameter and the second parameter include a green wave speed, a cycle start time, a public cycle, and a phase difference of the traffic lights at the main road intersection.
3. The method for dynamically controlling traffic lights according to claim 1, wherein data transmission and reception between the primary dispatching network and the secondary sensing network is realized through a communication network between the controller and the traffic lights.
4. The method for dynamically controlling traffic lights according to claim 1, wherein the first green-to-signal ratio λ is calculated based on a travel time of a vehicle on a current road segment 1 ，λ 1 g/C, where g is the number of vehicles passing through the intersection under green light, and C is a preset period.
5. According toThe method for dynamically controlling traffic lights according to claim 4, wherein the passing time of the same vehicle from the upstream and downstream stopping lines of the control area i is recorded, and the passing time is recorded
Wherein->
For the moment when the nth vehicle passes the stop line of the upstream intersection in the control area i, +.>
N is the moment when the nth vehicle passes through the stop line of the downstream intersection in the control area i t Is the number of vehicles observed in t unit steps.
6. The method for dynamically controlling traffic lights according to claim 1, wherein if the primary dispatching network can receive data frames of lane sensors on each lane of the same main line and the lane queuing sets and the main line sensing sets prestored in the traffic server form a one-to-one mapping relationship, the situation that the queuing is out of limit is determined.
7. The method according to claim 6, wherein each lane sensor periodically reports an authentication message with an identification code, and the traffic server determines the trunk line and the lane to which the traffic sensor belongs according to the lane sensor authentication message, and generates a trunk line sensing set arranged in the order of receiving the authentication messages.
8. The method for dynamically controlling traffic lights according to claim 1, wherein j 1 To control any intersection in region i, j 2 For crossing with main road j 1 Adjacent to and along a main road intersection in the downstream direction of vehicle travel:
if the main road intersection j 2 Over-limit queuing arterial road junction j 1 A second green signal ratio lambda of (2) 2 =λ 1 ；
If the main road intersection j 2 Arterial road junction j without overrun queuing 1 Over-limit queuing, at this time, the main road intersection j 1 Second green-to-signal ratio lambda 2 =[g+△x]and/C, wherein Deltax is the number of vehicles to be increased.
9. A control system for implementing the dynamic control method of a traffic lamp of claim 1, comprising: a traffic server, a controller, traffic lights, a lane sensor,
the traffic server is used for acquiring real-time road condition information and generating a first green-to-green ratio and a second green-to-green ratio;
the controller is used for receiving the data frame of the lane sensor and generating a lane queuing set;
the traffic light is used for displaying green wave speed, red light, yellow light and green light, and a data transmission terminal is arranged in the traffic light;
the lane sensor is used for detecting whether vehicles are queued in the lane, a signal module is arranged in the lane sensor, wherein,
the controller and the traffic server form a primary dispatching network, and the traffic lights and the lane sensors form a secondary sensing network.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310369581.5A CN116110238B (en) | 2023-04-10 | 2023-04-10 | Dynamic control method and system for traffic light |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310369581.5A CN116110238B (en) | 2023-04-10 | 2023-04-10 | Dynamic control method and system for traffic light |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN116110238A true CN116110238A (en) | 2023-05-12 |
| CN116110238B CN116110238B (en) | 2023-07-25 |
Family
ID=86265794
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202310369581.5A Active CN116110238B (en) | 2023-04-10 | 2023-04-10 | Dynamic control method and system for traffic light |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN116110238B (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116403419A (en) * | 2023-06-07 | 2023-07-07 | 贵州鹰驾交通科技有限公司 | Traffic light control method based on vehicle-road cooperation |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106530767A (en) * | 2016-12-12 | 2017-03-22 | 东南大学 | Vehicle-following method-based main line signal coordinating and optimizing method |
| CN107730922A (en) * | 2017-09-11 | 2018-02-23 | 北方工业大学 | Unidirectional trunk line green wave coordination control self-adaptive adjustment method |
| US20180174449A1 (en) * | 2016-12-19 | 2018-06-21 | ThruGreen, LLC | Connected and adaptive vehicle traffic management system with digital prioritization |
| CN108898858A (en) * | 2018-06-27 | 2018-11-27 | 上海工程技术大学 | The signal coordinating control method of continuous intersection under a kind of supersaturation traffic behavior |
| US10643465B1 (en) * | 2019-11-18 | 2020-05-05 | Iteris, Inc. | Dynamic advanced traffic detection from assessment of dilemma zone activity for enhancement of intersection traffic flow and adjustment of timing of signal phase cycles |
| CN112037511A (en) * | 2020-08-28 | 2020-12-04 | 浙江浙大中控信息技术有限公司 | Method for identifying single cross port signal timing imbalance state |
| CN115862348A (en) * | 2022-10-27 | 2023-03-28 | 云控智行(上海)汽车科技有限公司 | Signalized intersection dynamic queuing length sensing and traffic signal control optimization algorithm, system and device based on vehicle-road cooperation |
-
2023
- 2023-04-10 CN CN202310369581.5A patent/CN116110238B/en active Active
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106530767A (en) * | 2016-12-12 | 2017-03-22 | 东南大学 | Vehicle-following method-based main line signal coordinating and optimizing method |
| US20180174449A1 (en) * | 2016-12-19 | 2018-06-21 | ThruGreen, LLC | Connected and adaptive vehicle traffic management system with digital prioritization |
| CN107730922A (en) * | 2017-09-11 | 2018-02-23 | 北方工业大学 | Unidirectional trunk line green wave coordination control self-adaptive adjustment method |
| CN108898858A (en) * | 2018-06-27 | 2018-11-27 | 上海工程技术大学 | The signal coordinating control method of continuous intersection under a kind of supersaturation traffic behavior |
| US10643465B1 (en) * | 2019-11-18 | 2020-05-05 | Iteris, Inc. | Dynamic advanced traffic detection from assessment of dilemma zone activity for enhancement of intersection traffic flow and adjustment of timing of signal phase cycles |
| CN112037511A (en) * | 2020-08-28 | 2020-12-04 | 浙江浙大中控信息技术有限公司 | Method for identifying single cross port signal timing imbalance state |
| CN115862348A (en) * | 2022-10-27 | 2023-03-28 | 云控智行(上海)汽车科技有限公司 | Signalized intersection dynamic queuing length sensing and traffic signal control optimization algorithm, system and device based on vehicle-road cooperation |
Non-Patent Citations (1)
| Title |
|---|
| 曹交交;韩印;姚佼;: "城市交通干线动态双向绿波优化控制模型", 公路交通科技, no. 09 * |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116403419A (en) * | 2023-06-07 | 2023-07-07 | 贵州鹰驾交通科技有限公司 | Traffic light control method based on vehicle-road cooperation |
| CN116403419B (en) * | 2023-06-07 | 2023-08-25 | 贵州鹰驾交通科技有限公司 | Traffic light control method based on vehicle-road cooperation |
Also Published As
| Publication number | Publication date |
|---|---|
| CN116110238B (en) | 2023-07-25 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN108010307B (en) | Fleet control | |
| Taherkhani et al. | Centralized and localized data congestion control strategy for vehicular ad hoc networks using a machine learning clustering algorithm | |
| Maslekar et al. | CATS: An adaptive traffic signal system based on car-to-car communication | |
| Taherkhani et al. | Improving dynamic and distributed congestion control in vehicular ad hoc networks | |
| CN111951549B (en) | Self-adaptive traffic signal lamp control method and system in networked vehicle environment | |
| Khan et al. | EVP-STC: Emergency vehicle priority and self-organising traffic control at intersections using Internet-of-things platform | |
| CN116110238B (en) | Dynamic control method and system for traffic light | |
| Ouallane et al. | Overview of road traffic management solutions based on IoT and AI | |
| Gupte et al. | Vehicular networking for intelligent and autonomous traffic management | |
| CN103116995A (en) | Car networking data transmission route selection optimized method based on electronic eyes | |
| US11380144B2 (en) | Vehicle running status field model-based information transmission frequency optimization method in internet of vehicles | |
| Raut et al. | Intelligent transportation system for smartcity using VANET | |
| Sahba et al. | Optimized IoT based decision making for autonomous vehicles in intersections | |
| Salvo et al. | Investigating VANET dissemination protocols performance under high throughput conditions | |
| CN113823102B (en) | Self-adaptive signal timing method under software-defined vehicle-mounted network environment | |
| Malik et al. | Intelligent transport system: An important aspect of emergency management in smart cities | |
| CN105743783A (en) | Car-Networking Node Selecting Method based on BS-TS and Autoencoder Network, and Accessibility Routing Mechanism Thereof | |
| CN111524372B (en) | Bus signal priority implementation method and system based on artificial intelligence bus-road cooperation | |
| CN116913109A (en) | Smart city traffic signal lamp control system | |
| Velmurugan et al. | Improving the quality of service by continuous traffic monitoring using reinforcement learning model in VANET | |
| Anusa et al. | enhance the performance of cluster based routing protocol using DPAL in VANET | |
| Agosta et al. | Toward a V2I-based solution for traffic lights optimization | |
| Pable et al. | Implementation on Priority Based Signal Management in Traffic System | |
| Khan et al. | Sensor-based self-organized traffic control at intersections | |
| Rashid et al. | Intelligent traffic light control based on clustering using vehicular ad-hoc networks |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |