CN112270834A - Vehicle-road-people running method and system applied to 5G intelligent transportation means - Google Patents
Vehicle-road-people running method and system applied to 5G intelligent transportation means Download PDFInfo
- Publication number
- CN112270834A CN112270834A CN202011284437.4A CN202011284437A CN112270834A CN 112270834 A CN112270834 A CN 112270834A CN 202011284437 A CN202011284437 A CN 202011284437A CN 112270834 A CN112270834 A CN 112270834A
- Authority
- CN
- China
- Prior art keywords
- intersection
- module
- time
- real
- information
- 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.)
- Withdrawn
Links
Images
Classifications
-
- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
- G08G1/0125—Traffic data processing
-
- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
- G08G1/0108—Measuring and analyzing of parameters relative to traffic conditions based on the source of data
- G08G1/0112—Measuring and analyzing of parameters relative to traffic conditions based on the source of data from the vehicle, e.g. floating car data [FCD]
-
- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
- G08G1/0108—Measuring and analyzing of parameters relative to traffic conditions based on the source of data
- G08G1/012—Measuring and analyzing of parameters relative to traffic conditions based on the source of data from other sources than vehicle or roadside beacons, e.g. mobile networks
-
- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/017—Detecting movement of traffic to be counted or controlled identifying vehicles
- G08G1/0175—Detecting movement of traffic to be counted or controlled identifying vehicles by photographing vehicles, e.g. when violating traffic rules
-
- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/065—Traffic control systems for road vehicles by counting the vehicles in a section of the road or in a parking area, i.e. comparing incoming count with outgoing count
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/12—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
Landscapes
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Chemical & Material Sciences (AREA)
- Analytical Chemistry (AREA)
- Engineering & Computer Science (AREA)
- Health & Medical Sciences (AREA)
- Computing Systems (AREA)
- General Health & Medical Sciences (AREA)
- Medical Informatics (AREA)
- Computer Networks & Wireless Communication (AREA)
- Signal Processing (AREA)
- Traffic Control Systems (AREA)
Abstract
The invention relates to the technical field of intelligent traffic, in particular to a method and a system for driving a vehicle-road man applied to a 5G intelligent vehicle, which comprises a road condition overview module, a real-time evaluation module, an analysis and diagnosis module, an optimization scheme module, a dynamic pushing module and an open butt joint module, wherein the road condition overview module, the real-time evaluation module, the analysis and diagnosis module, the optimization scheme module, the dynamic pushing module and the open butt joint module are mutually connected; road condition overview module: the position calibration of the signal control intersection is realized; the invention discloses a 5G communication technology-based intelligent intersection management and control system for real-time interconnection and information sharing of people, vehicles and roads, which is built, functions of flow regulation, danger early warning, route guidance, safety reminding and the like are developed by combining big data and cloud computing technologies according to information such as quantity, position, speed, destination and the like provided by a user terminal, utilization efficiency of road traffic resources is effectively improved, and occurrence probability of traffic accidents is reduced.
Description
Technical Field
The invention relates to the technical field of intelligent traffic, in particular to a method and a system for driving a vehicle and a pedestrian, which are applied to a 5G intelligent vehicle.
Background
The fifth generation mobile communication technology (5G for short) is becoming an important driving force for the technology revolution and upgrade of the internet of things due to the advantages of higher peak rate, larger transmission capacity, lower transmission delay, larger terminal density and the like. The intelligent traffic intersection has numerous participating objects and complex running conditions, and is the concrete embodiment of road traffic Internet of things.
In the traffic field, signal control systems of foreign SCOOT systems, SCATS systems, domestic maritime letters and other manufacturers realize data acquisition based on fixed detectors, select control schemes or generate control schemes, and the signal control systems are applied to a plurality of domestic cities to achieve different degrees of effects. However, the system applied at present still has some problems, firstly, the control scheme of the existing general traffic road management system is mechanical, an intelligent data analysis operation strategy is not available, the north-south traffic cycle is basically set to be fixed for about 30s, traffic jam is easily caused in the peak period of people and vehicles, and a large amount of waiting time is wasted in the low-peak period without vehicles, secondly, the system is a traditional signal control system based on a fixed detector, has high dependence on the performance and the arrangement mode of the detector, the arrangement density of a plurality of urban sensors in China is low, a plurality of crossroads are not provided with the sensors, and the damage rate of the sensors is high, so that the signal control system is degraded and used in a plurality of cities, thirdly, the data collected by the fixed detector is section flow data, can only sense the congestion state of the section by using the percentage of the occupied time, and has no sense on the upstream and the downstream of the congestion point, the self-adaptive signal control under the congestion state is basically stranded, and is difficult to realize regional self-adaptive control, fourth, a signal control system based on a fixed detector is used for controlling the gravity center, so that the delay is reduced, the coordination efficiency is improved, the peak balancing effect is better, but the control effect is very limited when the congestion reaches a certain degree, for example, when a motorcade is on line to a queuing detector, all directions are queued, and the control algorithm is difficult to judge, fifth, the signal control system based on the fixed detector needs a large amount of infrastructure investment in the early stage, the operation and maintenance cost of the system is high, once the construction is completed, the modification cost is very expensive, sixth, the requirements of configuration and system management personnel are high, a large amount of personnel is needed for issuing, inputting and police confirmation of an optimization timing scheme, professional traffic engineers and operation and maintenance personnel are seriously deficient, and the operation and maintenance of the existing signal control need high labor cost, seventh, the signal optimization (including adaptive) based on the flow lacks the evaluation means of the system, and therefore, a method and a system for driving the vehicle pedestrians applied to the 5G intelligent vehicle are provided to solve the problem.
SUMMARY OF THE PATENT FOR INVENTION
The invention aims to provide a method and a system for driving vehicles and pedestrians applied to a 5G intelligent vehicle, which solve the problems of the prior applied system, firstly, the prior general traffic road management system has a mechanical control scheme and no intelligent data analysis operation strategy, the south-north traffic cycle is basically set to be fixed for about 30s, traffic jam is easily caused in the peak period of vehicles and vehicles, and a large amount of waiting time is wasted in the low-peak period and no vehicle period, secondly, the traditional signal control system based on a fixed detector has high dependence on the performance and the arrangement mode of the detector, the arrangement density of sensors in many cities in China is low, the sensors are not arranged in many crossing roads, meanwhile, the damage rate of the sensors is high, so that the signal control system is degraded and used in many cities, and thirdly, the data collected by the fixed detector is section flow data, the congestion state of a section can be sensed only by using percentage of occupied time, no upstream or downstream of a congestion point is sensed, the signal control under the congestion state is basically tie up inexperienced in self-adaptation and difficult to realize regional self-adaptation control, and fourth, a signal control system based on a fixed detector controls the center of gravity to reduce delay, improves coordination efficiency and has good peak-balancing effect, but the control effect is very limited when the congestion reaches a certain degree, for example, when a motorcade is on line to a queuing detector, all directions are queued, a control algorithm is difficult to judge, fifth, the signal control system based on the fixed detector needs a large amount of infrastructure investment in the early stage, the operation and maintenance cost of the system is high, once construction is completed, the modification cost is very expensive, sixth, the requirements of configuration and system management personnel are high, and a large amount of personnel are needed for issuing, inputting and warning situation confirmation of an optimization timing scheme, professional traffic engineers and operation and maintenance personnel are seriously deficient, the operation and maintenance of the existing signal control require high labor cost, and seventh, the signal optimization (including self-adaption) based on the flow rate is lack of evaluation means of a system.
In order to achieve the purpose, the invention provides the following technical scheme: a method and a system for driving vehicles and pedestrians applied to a 5G intelligent vehicle comprise a road condition overview module, a real-time evaluation module, an analysis and diagnosis module, an optimization scheme module, a dynamic pushing module and an open docking module, wherein the road condition overview module, the real-time evaluation module, the analysis and diagnosis module, the optimization scheme module, the dynamic pushing module and the open docking module are connected with one another;
road condition overview module: the method comprises the following steps of realizing position calibration of a signal-controlled intersection, extraction of intersection evaluation diagnosis indexes, intersection congestion display, delay/parking Top10 intersection ranking, real-time road condition visual display, real-time track visual display and real-time alarm information visual display;
a real-time evaluation module: the method comprises the steps of realizing intersection delay index calculation, intersection parking number index calculation, intersection queuing length index calculation, intersection evaluation model generation, intersection index data query and comparison module, multi-lane passing time calculation, main lane parking number calculation, sub-lane average delay calculation, main lane average speed calculation, main lane evaluation model generation, main lane index data query and comparison module, region average speed calculation, region average delay calculation, region evaluation model generation and region index data query and comparison module;
an analysis and diagnosis module: the system comprises a module for realizing calculation of an intersection overflow index, diagnosis of an intersection overflow problem, calculation of an intersection supersaturation index, diagnosis of an intersection supersaturation problem, calculation of an intersection unbalance index, diagnosis of an intersection unbalance problem, visualization of a diagnosis problem, visualization of an intersection problem trend, visualization of intersection problem statistical information, a diagnosis problem confidence verification module and a diagnosis problem severity grading module;
an optimization scheme module: the method comprises the following steps of realizing the calling of a crossing annunciator time-interval table, the calling of all-day delay of a crossing, the optimized generation of the crossing time interval, the optimized derivation of the crossing time interval, the calling of a crossing green signal ratio scheme in a specified time interval, the calling of a crossing evaluation diagnosis result in the specified time interval, the generation of the crossing green signal ratio optimization scheme, the derivation of the crossing green signal ratio optimization scheme, the calling of main road signal lamp information, the collection of main road vehicle space-time trajectory information and the generation of a main road green wave scheme;
a dynamic pushing module: the method comprises the following steps of realizing UTC platform protocol docking, intersection control state and data synchronization time display, intersection background scheme and operation scheme real-time display, intersection real-time index display, intersection space-time diagram + delay diagram + queuing diagram display, dynamic optimization scheme automatic generation, overflow alarm and control optimization strategy user feedback;
an open butt joint module: the method comprises the steps of realizing API (application programming interface) interface calling, a data transmission mode, a signature mode, intersection obtaining, obtaining of a whole city intersection list, a real-time intersection list, a present alarm overview, 3-day alarm change, a real-time alarm list, a real-time delay TOP10, a real-time parking TOP10, an intersection index evaluation result, main road management, an on-road evaluation result, area management, an area evaluation result and obtaining of intersection flow granularity real-time data.
Preferably, a SaaS service system building mode is utilized, a signal issuing mechanism, a signal control platform or a signal manufacturer are directly connected with a background control system in a butt joint mode through SaaS service of a network, and an internet scheme pushing system calculates a timing scheme according to real-time floating car data and pushes the timing scheme after the safety rules in the system are verified.
Preferably, communication terminals such as intersection base stations, vehicle-mounted equipment and smart phones are integrated by means of tools such as image recognition, cloud computing and big data analysis, a control center with functions of information collection, data processing, information broadcasting and the like is established, and an intelligent system for realizing real-time interconnection of people and vehicles and real-time interconnection of vehicles and vehicles is realized.
Preferably, the information of the number of vehicles and pedestrians in each direction in the control range of the crossroad is acquired by means of two systems, and the system is as follows: shooting a pedestrian flow and traffic flow picture by utilizing a plurality of video flow cameras arranged in each direction of the crossroad, and obtaining the number of terminals in each direction after the image recognition of a cloud server; the other set of system is: the position coordinate information uploaded by each intelligent terminal in real time in a control range is collected by means of a 5G communication base station, the position coordinate information is processed and calculated by a cloud server to obtain the number of users in each direction, and the control center simultaneously adopts two sets of devices for complementation to obtain the number information of vehicles and pedestrians.
Preferably, by means of the GPS positioning and network connection functions of the vehicle-mounted and mobile phone intelligent terminals, the control center collects the position, speed and destination information of each user in the control range in real time by using the 5G communication base station, if the coordinate of a certain monitored object is abnormally changed, such as the position and speed of the vehicle are suddenly changed, it is predicted that the vehicle is out of control or is impacted, the monitored object is determined to be a dangerous signal after the calculation of the server by combining the image data of the video camera, and the control center broadcasts and pushes all users by means of the base station by using the low delay characteristic of the 5G communication technology.
Preferably, the terminal user uploads destination line information to a control center of the crossroad, the server optimizes the line by combining real-time traffic flow and pedestrian flow data, if traffic pressure in the current crossroad range is large, waiting time is long, or traffic accidents occur and need to be dredged for a certain time, related suggestions can be pushed, the terminal user can independently select to enter the crossroad or detour to travel, and the server recommends the fastest traffic line to the user needing to cross the street according to information such as comparison between road surface flow data and underground passage flow data, current traffic light time and the like.
Preferably, based on the GPS positioning and network connection functions of each terminal device, the control center uses the base station to exchange quantity and coordinate information with each user in real time, scans and detects whether the vehicle has overtaking, turning around, braking and other actions, and combines with the violation capture camera to perform key monitoring on the vehicle with the actions, and performs targeted safety reminding on other surrounding users through the 5G broadcasting function of the base station on the violation information, action information and the like.
Compared with the prior art, the invention has the following beneficial effects:
the invention discloses a 5G communication technology-based intelligent intersection management and control system for real-time interconnection and information sharing of people, vehicles and roads, which is built, functions of flow regulation, danger early warning, route guidance, safety reminding and the like are developed by combining big data and cloud computing technologies according to information such as quantity, position, speed, destination and the like provided by a user terminal, utilization efficiency of road traffic resources is effectively improved, and occurrence probability of traffic accidents is reduced.
Drawings
FIG. 1 is a schematic diagram of a smart traffic operation platform networking according to the present invention;
FIG. 2 is a schematic diagram of various modules of the present invention;
fig. 3 is a functional diagram of the present 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, not all of the embodiments. All other embodiments obtained by a person skilled in the art based on the embodiments in the patent of the invention without any inventive work belong to the protection scope of the patent of the invention.
Referring to fig. 1-3, a method and system for driving a vehicle and a pedestrian applied to a 5G smart vehicle includes a road condition overview module, a real-time evaluation module, an analysis and diagnosis module, an optimization scheme module, a dynamic push module and an open docking module, which are connected with each other;
road condition overview module: the method comprises the following steps of realizing position calibration of a signal-controlled intersection, extraction of intersection evaluation diagnosis indexes, intersection congestion display, delay/parking Top10 intersection ranking, real-time road condition visual display, real-time track visual display and real-time alarm information visual display;
a real-time evaluation module: the method comprises the steps of realizing intersection delay index calculation, intersection parking number index calculation, intersection queuing length index calculation, intersection evaluation model generation, intersection index data query and comparison module, multi-lane passing time calculation, main lane parking number calculation, sub-lane average delay calculation, main lane average speed calculation, main lane evaluation model generation, main lane index data query and comparison module, region average speed calculation, region average delay calculation, region evaluation model generation and region index data query and comparison module;
an analysis and diagnosis module: the system comprises a module for realizing calculation of an intersection overflow index, diagnosis of an intersection overflow problem, calculation of an intersection supersaturation index, diagnosis of an intersection supersaturation problem, calculation of an intersection unbalance index, diagnosis of an intersection unbalance problem, visualization of a diagnosis problem, visualization of an intersection problem trend, visualization of intersection problem statistical information, a diagnosis problem confidence verification module and a diagnosis problem severity grading module;
an optimization scheme module: the method comprises the following steps of realizing the calling of a crossing annunciator time-interval table, the calling of all-day delay of a crossing, the optimized generation of the crossing time interval, the optimized derivation of the crossing time interval, the calling of a crossing green signal ratio scheme in a specified time interval, the calling of a crossing evaluation diagnosis result in the specified time interval, the generation of the crossing green signal ratio optimization scheme, the derivation of the crossing green signal ratio optimization scheme, the calling of main road signal lamp information, the collection of main road vehicle space-time trajectory information and the generation of a main road green wave scheme;
a dynamic pushing module: the method comprises the following steps of realizing UTC platform protocol docking, intersection control state and data synchronization time display, intersection background scheme and operation scheme real-time display, intersection real-time index display, intersection space-time diagram + delay diagram + queuing diagram display, dynamic optimization scheme automatic generation, overflow alarm and control optimization strategy user feedback;
an open butt joint module: the method comprises the steps of realizing API (application programming interface) interface calling, a data transmission mode, a signature mode, intersection obtaining, obtaining of a whole city intersection list, a real-time intersection list, a present alarm overview, 3-day alarm change, a real-time alarm list, a real-time delay TOP10, a real-time parking TOP10, an intersection index evaluation result, main road management, an on-road evaluation result, area management, an area evaluation result and obtaining of intersection flow granularity real-time data.
In this embodiment, utilize SaaS service system to build the mode, the semaphore issues the mechanism, semaphore control platform or semaphore manufacturer, directly dock with backstage control system through the SaaS service of network, internet scheme push system calculates the scheme of timing according to real-time floating car data, and the timing propelling movement is carried out after the inside safety rule check of system, the customer can be according to own actual demand, order required application software service to the firm through the internet, and obtain the service that the firm provided through the internet, need not purchase the software again, and change over to rent the software based on Web to the provider, manage enterprise's operation activity, and need not to maintain the software.
In the embodiment, communication terminals such as intersection base stations, vehicle-mounted devices and smart phones are integrated by means of tools such as image recognition, cloud computing and big data analysis, a control center with functions of information collection, data processing and information broadcasting is established, an intelligent system with real-time interconnection of people and vehicles and between vehicles is realized, and four main functions of flow regulation, danger early warning, route optimization and safety reminding are developed at an intelligent traffic intersection based on 5G.
In this embodiment, two sets of systems are relied on to obtain the information of vehicle and pedestrian quantity in each direction within the control range of the crossroad, and one set of system is: shooting a pedestrian flow and traffic flow picture by utilizing a plurality of video flow cameras arranged in each direction of the crossroad, and obtaining the number of terminals in each direction after the image recognition of a cloud server; the other set of system is: the position coordinate information uploaded by each intelligent terminal in real time in a control range is collected by means of the 5G communication base station, the position coordinate information is processed and calculated by the cloud server, the number of users in each direction is obtained, the control center simultaneously adopts two sets of devices for complementation, the number information of vehicles and pedestrians is obtained, and the accuracy of data acquisition is improved.
In the embodiment, by means of the GPS positioning and network connection functions of the vehicle-mounted and mobile phone intelligent terminals, the control center collects the position, speed and destination information of each user in the control range in real time by using the 5G communication base station, if the coordinate of a certain monitored object changes abnormally, such as the position and speed of the vehicle changes suddenly, the vehicle is predicted to be out of control or collide, the monitored object is determined to be a dangerous signal after the calculation of the server by combining the image data of the video camera, and the control center broadcasts and pushes all users by means of the base station by using the low delay characteristic of the 5G communication technology, so that the vehicles and personnel can avoid in time, and the loss caused by secondary traffic accidents is reduced.
In the embodiment, a terminal user uploads destination line information to a control center of an intersection, a server combines real-time traffic flow and pedestrian flow data to optimize the line, if the traffic pressure in the current intersection range is large, the waiting time is long, or a traffic accident occurs and needs to be dredged for a certain time, related suggestions can be pushed, the terminal user can independently select to enter the intersection or detour to go, and the server recommends the fastest traffic line to a user needing to cross the street according to information such as comparison between road surface flow data and underground passage flow data, the current traffic light time and the like, so that the effect of guiding the line is achieved, and the traffic efficiency of the intersection is improved.
In the embodiment, based on the GPS positioning and network connection functions of each terminal device, the control center utilizes the base station to exchange quantity and coordinate information with each user in real time, scans and detects whether the vehicle has the actions of overtaking, turning around, braking and the like, combines the violation capture camera, performs key monitoring on the vehicle with the actions, performs targeted safety reminding on other surrounding users through the violation information, action information and the like, and improves the attention degree and avoids traffic accidents.
The working principle is as follows: based on the 5G communication technology, an intelligent intersection management and control system for real-time interconnection and information sharing of people, vehicles and roads is built, functions such as flow regulation, danger early warning, route guiding and safety reminding are developed by combining big data and cloud computing technology according to information such as quantity, position, speed and destination provided by a user terminal, utilization efficiency of road traffic resources is effectively improved, and occurrence probability of traffic accidents is reduced.
Although embodiments of the present patent have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the present patent, the scope of which is defined in the appended claims and their equivalents.
Claims (7)
1. A method and a system for driving a vehicle and a pedestrian applied to a 5G intelligent vehicle are characterized in that: the system comprises a road condition overview module, a real-time evaluation module, an analysis and diagnosis module, an optimization scheme module, a dynamic pushing module and an open docking module, wherein the road condition overview module, the real-time evaluation module, the analysis and diagnosis module, the optimization scheme module, the dynamic pushing module and the open docking module are connected with one another;
road condition overview module: the method comprises the following steps of realizing position calibration of a signal-controlled intersection, extraction of intersection evaluation diagnosis indexes, intersection congestion display, delay/parking Top10 intersection ranking, real-time road condition visual display, real-time track visual display and real-time alarm information visual display;
a real-time evaluation module: the method comprises the steps of realizing intersection delay index calculation, intersection parking number index calculation, intersection queuing length index calculation, intersection evaluation model generation, intersection index data query and comparison module, multi-lane passing time calculation, main lane parking number calculation, sub-lane average delay calculation, main lane average speed calculation, main lane evaluation model generation, main lane index data query and comparison module, region average speed calculation, region average delay calculation, region evaluation model generation and region index data query and comparison module;
an analysis and diagnosis module: the system comprises a module for realizing calculation of an intersection overflow index, diagnosis of an intersection overflow problem, calculation of an intersection supersaturation index, diagnosis of an intersection supersaturation problem, calculation of an intersection unbalance index, diagnosis of an intersection unbalance problem, visualization of a diagnosis problem, visualization of an intersection problem trend, visualization of intersection problem statistical information, a diagnosis problem confidence verification module and a diagnosis problem severity grading module;
an optimization scheme module: the method comprises the following steps of realizing the calling of a crossing annunciator time-interval table, the calling of all-day delay of a crossing, the optimized generation of the crossing time interval, the optimized derivation of the crossing time interval, the calling of a crossing green signal ratio scheme in a specified time interval, the calling of a crossing evaluation diagnosis result in the specified time interval, the generation of the crossing green signal ratio optimization scheme, the derivation of the crossing green signal ratio optimization scheme, the calling of main road signal lamp information, the collection of main road vehicle space-time trajectory information and the generation of a main road green wave scheme;
a dynamic pushing module: the method comprises the following steps of realizing UTC platform protocol docking, intersection control state and data synchronization time display, intersection background scheme and operation scheme real-time display, intersection real-time index display, intersection space-time diagram + delay diagram + queuing diagram display, dynamic optimization scheme automatic generation, overflow alarm and control optimization strategy user feedback;
an open butt joint module: the method comprises the steps of realizing API (application programming interface) interface calling, a data transmission mode, a signature mode, intersection obtaining, obtaining of a whole city intersection list, a real-time intersection list, a present alarm overview, 3-day alarm change, a real-time alarm list, a real-time delay TOP10, a real-time parking TOP10, an intersection index evaluation result, main road management, an on-road evaluation result, area management, an area evaluation result and obtaining of intersection flow granularity real-time data.
2. The method and system for 5G intelligent vehicle according to claim 1, wherein the method comprises: the method comprises the steps that a SaaS service system building mode is utilized, a signal issuing mechanism, a signal control platform or a signal manufacturer directly butt-joint with a background control system through SaaS service of a network, an internet scheme pushing system calculates a timing scheme according to real-time floating car data, and timing pushing is conducted after safety rules inside the system are verified.
3. The method and system for 5G intelligent vehicle according to claim 1, wherein the method comprises: by means of tools such as image recognition, cloud computing and big data analysis, communication terminals such as intersection base stations, vehicle-mounted equipment and smart phones are integrated, a control center with functions of information collection, data processing, information broadcasting and the like is established, and an intelligent system for realizing real-time interconnection of people and vehicles and real-time interconnection of vehicles and vehicles is achieved.
4. The method and system for 5G intelligent vehicle according to claim 1, wherein the method comprises: the method comprises the following steps of obtaining the quantity information of vehicles and pedestrians in each direction in a control range of the crossroad by means of two systems, wherein the one system is as follows: shooting a pedestrian flow and traffic flow picture by utilizing a plurality of video flow cameras arranged in each direction of the crossroad, and obtaining the number of terminals in each direction after the image recognition of a cloud server; the other set of system is: the position coordinate information uploaded by each intelligent terminal in real time in a control range is collected by means of a 5G communication base station, the position coordinate information is processed and calculated by a cloud server to obtain the number of users in each direction, and the control center simultaneously adopts two sets of devices for complementation to obtain the number information of vehicles and pedestrians.
5. The method and system for 5G intelligent vehicle according to claim 1, wherein the method comprises: by means of GPS positioning and network connection functions of intelligent terminals such as vehicles, mobile phones and the like, a control center collects position, speed and destination information of each user in a control range in real time through a 5G communication base station, if abnormal changes occur to the coordinates of a certain monitored object, such as sudden changes of the position and the speed of a vehicle, the situation that the vehicle is out of control or is collided is indicated, the monitored object is judged to be a dangerous signal after calculation through a server by combining with image data of a video camera, and the control center broadcasts and pushes all users through the base station by means of the low delay characteristic of the 5G communication technology.
6. The method and system for 5G intelligent vehicle according to claim 1, wherein the method comprises: the method comprises the steps that a terminal user uploads destination line information to a control center of an intersection, a server combines real-time traffic flow pedestrian flow data to optimize a line, if traffic pressure in the current intersection range is large, waiting time is long, or a traffic accident occurs and needs to be cleared for a certain time, related suggestions can be pushed, the terminal user can independently select to enter the intersection or detour to travel, and the server recommends the fastest traffic line to a user needing to cross the street according to information such as comparison of road surface flow data and underground passage flow data, current traffic light time and the like.
7. The method and system for 5G intelligent vehicle according to claim 1, wherein the method comprises: based on the GPS positioning and network connection functions of each terminal device, the control center utilizes the base station to exchange quantity and coordinate information with each user in real time, scans and detects whether the vehicle has overtaking, turning around, braking and other actions, combines with the violation capture camera, carries out key monitoring on the vehicle with the actions, and carries out targeted safety reminding on other surrounding users through the 5G broadcasting function of the base station according to the violation information, action information and the like.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011284437.4A CN112270834A (en) | 2020-11-17 | 2020-11-17 | Vehicle-road-people running method and system applied to 5G intelligent transportation means |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011284437.4A CN112270834A (en) | 2020-11-17 | 2020-11-17 | Vehicle-road-people running method and system applied to 5G intelligent transportation means |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN112270834A true CN112270834A (en) | 2021-01-26 |
Family
ID=74340654
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202011284437.4A Withdrawn CN112270834A (en) | 2020-11-17 | 2020-11-17 | Vehicle-road-people running method and system applied to 5G intelligent transportation means |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN112270834A (en) |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113139459A (en) * | 2021-04-22 | 2021-07-20 | 青岛图灵科技有限公司 | Road exit road traffic flow overflow real-time detection method based on video analysis |
| CN113658436A (en) * | 2021-08-18 | 2021-11-16 | 刘哲鸣 | Traffic monitoring system based on wisdom traffic thing networking |
| CN113823097A (en) * | 2021-11-25 | 2021-12-21 | 湖北工业大学 | Expressway accident early warning and traffic dispersion system and method |
-
2020
- 2020-11-17 CN CN202011284437.4A patent/CN112270834A/en not_active Withdrawn
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113139459A (en) * | 2021-04-22 | 2021-07-20 | 青岛图灵科技有限公司 | Road exit road traffic flow overflow real-time detection method based on video analysis |
| CN113658436A (en) * | 2021-08-18 | 2021-11-16 | 刘哲鸣 | Traffic monitoring system based on wisdom traffic thing networking |
| CN113823097A (en) * | 2021-11-25 | 2021-12-21 | 湖北工业大学 | Expressway accident early warning and traffic dispersion system and method |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| JP7339635B2 (en) | Intelligent Road Infrastructure Systems (IRIS): systems and methods | |
| AU2020100946A4 (en) | Multi-source traffic information sensing roadside device for smart highway | |
| TWI691927B (en) | External coordinate real-time three-dimensional road condition auxiliary device for mobile vehicle and the system | |
| CN112270834A (en) | Vehicle-road-people running method and system applied to 5G intelligent transportation means | |
| CN212160931U (en) | ETC-X system for vehicle-road cooperation | |
| US20200334979A1 (en) | Predictive, integrated and intelligent system for control of times in traffic lights | |
| CN203260191U (en) | Traffic monitoring and management system | |
| CN113178076B (en) | Vehicle-road cooperation system and vehicle-road cooperation method | |
| CN111882894A (en) | Intelligent traffic signal lamp control method and system | |
| CN105825684A (en) | Smart city cloud street lamp system | |
| CN103280096A (en) | Traffic monitoring management system | |
| WO2012145761A9 (en) | A comprehensive and intelligent system for managing traffic and emergency services | |
| CN114170803B (en) | Road side sensing system and traffic control method | |
| JP2020510941A (en) | Highway system for connected self-driving car and method using the same | |
| CN105957370A (en) | QoE-based traffic scheduling big data system and method | |
| CN113327415A (en) | Method, apparatus, device, storage medium and system for distributing traffic information | |
| CN110401685A (en) | A kind of intelligence control cloud platform of two visitor of automatic Pilot, one danger vehicle | |
| CN111932876A (en) | Road surface induction system and method based on wide area radar | |
| CN104252778A (en) | Traffic information collecting, processing and publishing method, device and system | |
| CN105654745A (en) | Real-time traffic flow monitoring method based on intelligent handset | |
| WO2019008755A1 (en) | Information processing system, and information processing system infrastructure and information processing method used in same | |
| CN117315962A (en) | Emergency vehicle priority passing method, intelligent traffic system and cloud platform | |
| CN116363861A (en) | Intelligent traffic system | |
| CN109935090A (en) | Traffic light regulating system, method, apparatus, mist calculate equipment and storage medium | |
| CN211319386U (en) | Vehicle-road cooperative system |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| WW01 | Invention patent application withdrawn after publication |
Application publication date: 20210126 |
|
| WW01 | Invention patent application withdrawn after publication |