CN111614756A - Large-scale networked vehicle cooperative service system - Google Patents
Large-scale networked vehicle cooperative service system Download PDFInfo
- Publication number
- CN111614756A CN111614756A CN202010431427.2A CN202010431427A CN111614756A CN 111614756 A CN111614756 A CN 111614756A CN 202010431427 A CN202010431427 A CN 202010431427A CN 111614756 A CN111614756 A CN 111614756A
- Authority
- CN
- China
- Prior art keywords
- information
- demand
- service
- identification
- travel
- 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
-
- 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
-
- 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
- H04L67/50—Network services
- H04L67/51—Discovery or management thereof, e.g. service location protocol [SLP] or web services
-
- 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
- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D30/00—Reducing energy consumption in communication networks
- Y02D30/50—Reducing energy consumption in communication networks in wire-line communication networks, e.g. low power modes or reduced link rate
-
- 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
- Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
- Y02T10/00—Road transport of goods or passengers
- Y02T10/10—Internal combustion engine [ICE] based vehicles
- Y02T10/40—Engine management systems
Landscapes
- Engineering & Computer Science (AREA)
- Computer Networks & Wireless Communication (AREA)
- Signal Processing (AREA)
- Health & Medical Sciences (AREA)
- Computing Systems (AREA)
- General Health & Medical Sciences (AREA)
- Medical Informatics (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
- Traffic Control Systems (AREA)
Abstract
The invention discloses a large-scale networked vehicle cooperative service system, which comprises a supply and demand quick response type travel reservation service technology; a technology for accurately releasing directional mutual aid service information; the supply and demand quick response type reservation travel service technology comprises travel demand collection, super schedule compilation optimization and real-time demand effect and regulation. Aiming at the current situation of weak networking service of monitoring without control, connection without communication, convergence without convergence, the invention breaks through three key points of networking, integration and intelligence of cooperative service, innovates a service mode, realizes three-level optimization of individuals, groups and systems, breaks through isolated operation among the conventional platforms, constructs a networking vehicle big data analysis and cooperative service platform, performs urban area demonstration application, and achieves the aims of reducing accidents, reducing energy consumption and improving efficiency.
Description
Technical Field
The invention relates to the technical field of vehicle cooperative service, in particular to a large-scale networked vehicle cooperative service system.
Background
The intelligent internet automobile is a new generation automobile which is provided with advanced vehicle-mounted sensors, controllers, actuators and the like, integrates modern communication and network technologies, realizes intelligent information exchange and sharing between automobiles and X (people, automobiles, roads, cloud ends and the like), has the functions of complex environment perception, intelligent decision, cooperative control and the like, can realize safe, efficient, comfortable and energy-saving driving, and can finally realize the operation of people; the vehicle-road cooperation platform integrates technologies of perception, communication, calculation, control and the like, realizes mutual mapping of elements including 'vehicles, traffic, environment' and the like in a physical space and an information space based on a standardized communication protocol, realizes standardized interaction and efficient cooperation, utilizes cloud computing big data capacity, and solves the problems of systematic resource optimization and configuration.
However, the existing intelligent networked automobile has the problem of the current situation of weak networked service that monitoring is not controlled, connected but not communicated, converged but not gathered, and the existing platforms operate in isolation, so that a networked vehicle big data analysis and collaboration service platform cannot be constructed for urban area demonstration application.
Disclosure of Invention
Based on the technical problems in the background art, the invention provides a large-scale networked vehicle cooperative service system.
The invention provides a large-scale networked vehicle cooperative service system, which comprises a supply and demand quick response type travel reservation service technology; a technology for accurately releasing directional mutual aid service information; dangerous, abnormal information crowd intelligence identification technique and networking vehicle cluster mutual aid influence analog technique, supply and demand quick response formula reservation trip service technique collects including the trip demand, super schedule is compiled optimization and real-time demand effect and regulation and control, the accurate technique of puting in of directional mutual aid service information includes multisource mutual aid information trust and identification technique and mutual aid information sequence space-time matching technique, dangerous, abnormal information crowd intelligence identification technique includes mutual aid demand identification and mutual aid scene and constructs, networking vehicle cluster mutual aid influence analog technique includes cluster parallel simulation.
Preferably, the travel demand collection is used for the terminal to submit the travel reservation request, the personnel provide the mobile terminal to issue the travel reservation request, and the mobile terminal sends the travel request to the computer terminal for collection.
Preferably, the super timetable compilation optimization is used for compiling a timetable for balancing supply and demand, personnel count resource supply and vehicle demands, online simulation scenario deduction is carried out after statistics, and the timetable compilation for balancing supply and demand is carried out after simulation scenario deduction.
Preferably, the real-time demand effect and regulation are used for realizing no congestion and no delay in travel, and the cars and the buses realize real-time demand response and regulation through space-time coordination.
Preferably, the multi-source mutual-help information trust and common identification technology comprises redundancy fusion, error elimination and conflict identification, wherein after the redundancy fusion, the error elimination is carried out, and after the error elimination, the conflict identification is carried out to realize the accuracy and reliability of the mutual-help information.
Preferably, the mutual aid information sequence space-time matching technology comprises accident information, congestion information and security threat information, and after the accident information, the congestion information and the security threat information are subjected to sequence matching, the type, the content and the timeliness of the mutual aid information are achieved.
Preferably, the mutual aid demand identification comprises a perception system architecture and information quality evaluation, the information quality evaluation comprises data evolution and data value characteristics, and the mutual aid scene construction comprises location identification and scene-demand mapping.
Preferably, the cluster parallel simulation carries out danger early warning through information synchronization, scene synchronization and cluster synchronization, and the danger early warning influences evaluation simulation.
According to the large-scale networked vehicle cooperative service system, three key points of networking, integration and intelligence of cooperative service are broken through aiming at the current situation of monitoring without control, connection without communication, convergence without convergence, a service mode is innovated, three-level optimization of individuals, groups and systems is realized, isolated operation among the existing platforms is broken through, a networked vehicle big data analysis and cooperative service platform is constructed, urban area application is carried out, and the aims of reducing accidents, reducing demonstration energy consumption and improving efficiency are achieved.
Drawings
Fig. 1 is a schematic diagram of a supply and demand quick response type appointment travel service technology of a large-scale networked vehicle cooperative service system according to the present invention;
FIG. 2 is a schematic diagram of a technology for accurately delivering directional mutual assistance service information of a large-scale networked vehicle cooperative service system according to the present invention;
FIG. 3 is a schematic diagram of a dangerous and abnormal information crowd identification technique of a large-scale networked vehicle cooperative service system according to the present invention;
fig. 4 is a schematic diagram of a networking vehicle cluster mutual influence simulation technique of the large-scale networking vehicle cooperative service system provided by 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.
Referring to fig. 1 to 4, a large-scale networked vehicle cooperative service system includes a supply and demand quick response type reservation travel service technology; a technology for accurately releasing directional mutual aid service information; the system comprises a dangerous and abnormal information crowd-sourcing identification technology and an internet vehicle crowd mutual-help influence simulation technology, a supply and demand quick response type reserved travel service technology comprises travel demand collection, super schedule compilation optimization and real-time demand effect and regulation, an oriented mutual-help service information accurate delivery technology comprises a multi-source mutual-help information trust and identification technology and a mutual-help information sequence space-time matching technology, a dangerous and abnormal information crowd-sourcing identification technology comprises mutual-help demand identification and mutual-help scene construction, and an internet vehicle crowd mutual-help influence simulation technology comprises crowd parallel simulation.
In the invention, the travel demand collection is used for submitting the travel reservation request by the terminal, the personnel provide the mobile terminal to issue the travel reservation request, and the mobile terminal sends the travel request to the computer terminal for collection.
In the invention, the super schedule is optimized and used for compiling a supply and demand balance schedule, personnel count resource supply and vehicle demands, online simulation scenes are deduced after counting, and supply and demand balance schedule compilation is carried out after simulation scenes are deduced.
In the invention, the real-time demand effect and regulation are used for realizing no congestion and no delay in travel, and the car and the bus realize real-time demand response and regulation through space-time coordination.
The multi-source mutual-help information trust and common identification technology comprises redundancy fusion, error elimination and conflict identification, wherein after the redundancy fusion, the error elimination is carried out, and after the error elimination, the conflict identification is carried out to realize the accuracy and reliability of the mutual-help information.
In the invention, the mutual aid information sequence space-time matching technology comprises accident information, congestion information and safety threat information, and the type, content and timeliness of the mutual aid information are realized after the accident information, the congestion information and the safety threat information are subjected to sequence matching.
In the invention, the mutual aid demand identification comprises a sensing system architecture and information quality evaluation, the information quality evaluation comprises data evolution and data value characteristics, and the mutual aid scene construction comprises location identification and scene and demand mapping.
In the invention, the cluster parallel simulation carries out danger early warning through information synchronization, scene synchronization and cluster synchronization, and the danger early warning influences evaluation simulation.
The invention comprises the following steps: the supply and demand quick response type reservation travel service technology comprises travel demand collection, super schedule compilation optimization and real-time demand effect and regulation, the oriented mutual aid service information accurate delivery technology comprises multi-source mutual aid information trust and identification technology and mutual aid information sequence space-time matching technology, the danger and abnormal information crowd identification technology comprises mutual aid demand identification and mutual aid scene construction, the networking vehicle cluster mutual aid influence simulation technology comprises cluster parallel simulation, and three key points of networking, integration and intelligence of cooperative service are broken through aiming at the current situation of monitoring, non-control, connection, non-communication, convergence and non-convergence weak networking service, the innovative service mode is realized, the three-level optimization of individuals, groups and systems is realized, the isolated operation among the existing platforms is broken, the networking vehicle big data analysis and cooperative service platform is constructed, the urban area demonstration application is carried out, the accident reduction, the energy consumption reduction, the real-time demand effect and regulation are realized, The aim of improving the efficiency is achieved.
The above description is only for the preferred embodiment of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art should be considered to be within the technical scope of the present invention, and the technical solutions and the inventive concepts thereof according to the present invention should be equivalent or changed within the scope of the present invention.
Claims (8)
1. A large-scale networked vehicle cooperative service system is characterized by comprising a supply and demand quick response type travel reservation service technology; a technology for accurately releasing directional mutual aid service information; dangerous, abnormal information crowd intelligence identification technique and networking vehicle cluster mutual aid influence analog technique, supply and demand quick response formula reservation trip service technique collects including the trip demand, super schedule is compiled optimization and real-time demand effect and regulation and control, the accurate technique of puting in of directional mutual aid service information includes multisource mutual aid information trust and identification technique and mutual aid information sequence space-time matching technique, dangerous, abnormal information crowd intelligence identification technique includes mutual aid demand identification and mutual aid scene and constructs, networking vehicle cluster mutual aid influence analog technique includes cluster parallel simulation.
2. The system of claim 1, wherein the travel demand collection is used for the terminal to submit a travel reservation request, the person provides the mobile terminal to issue the travel reservation request, and the mobile terminal sends the travel request to the computer terminal for collection.
3. The system of claim 1, wherein the super schedule compilation is optimized for compiling a schedule for balancing supply and demand, personnel count resource supply and vehicle demand, online simulation scenario deduction is performed after the statistics, and supply and demand balancing schedule compilation is performed after the simulation scenario deduction.
4. The system of claim 1, wherein the real-time demand effect and regulation is used to achieve congestion and delay free travel, and real-time demand response and regulation is achieved by time-space coordination between cars and buses.
5. The massively networked vehicle cooperative service system according to claim 1, wherein the multi-source mutual information trust and mutual identification technologies include redundant fusion, error elimination, and conflict identification, wherein after the redundant fusion, the error elimination is performed, and after the error elimination, the conflict identification is performed to achieve the accuracy and reliability of the mutual information.
6. The collaborative service system for large-scale networked vehicles according to claim 1, wherein the collaborative information sequence spatiotemporal matching technology includes accident information, congestion information and security threat information, and after the accident information, the congestion information and the security threat information are subjected to sequence matching, the type, the content and the timeliness of the collaborative information are realized.
7. The system of claim 1, wherein the collaborative demand identification comprises a perception system architecture and information quality evaluation, the information quality evaluation comprises data evolution and data value characteristics, and the collaborative scene construction comprises location identification and scene-to-demand mapping.
8. The massively networked vehicle cooperative service system according to claim 1, wherein the cluster parallel simulation performs hazard early warning through information synchronization, scene synchronization and cluster synchronization, and the hazard early warning affects evaluation simulation.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010431427.2A CN111614756B (en) | 2020-05-20 | 2020-05-20 | Large-scale networked vehicle cooperative service system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010431427.2A CN111614756B (en) | 2020-05-20 | 2020-05-20 | Large-scale networked vehicle cooperative service system |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN111614756A true CN111614756A (en) | 2020-09-01 |
| CN111614756B CN111614756B (en) | 2023-04-07 |
Family
ID=72203489
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202010431427.2A Active CN111614756B (en) | 2020-05-20 | 2020-05-20 | Large-scale networked vehicle cooperative service system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN111614756B (en) |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102737511A (en) * | 2012-07-04 | 2012-10-17 | 武汉大学 | Intelligent road side system |
| US20180376306A1 (en) * | 2017-06-23 | 2018-12-27 | Veniam, Inc. | Methods and systems for detecting anomalies and forecasting optimizations to improve urban living management using networks of autonomous vehicles |
| CN110674565A (en) * | 2019-08-28 | 2020-01-10 | 同济大学 | On-loop simulation method and platform of vehicle-road cooperative system |
| GB202002596D0 (en) * | 2020-02-24 | 2020-04-08 | Samsung Electronics Co Ltd | Method and network |
-
2020
- 2020-05-20 CN CN202010431427.2A patent/CN111614756B/en active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102737511A (en) * | 2012-07-04 | 2012-10-17 | 武汉大学 | Intelligent road side system |
| US20180376306A1 (en) * | 2017-06-23 | 2018-12-27 | Veniam, Inc. | Methods and systems for detecting anomalies and forecasting optimizations to improve urban living management using networks of autonomous vehicles |
| CN110674565A (en) * | 2019-08-28 | 2020-01-10 | 同济大学 | On-loop simulation method and platform of vehicle-road cooperative system |
| GB202002596D0 (en) * | 2020-02-24 | 2020-04-08 | Samsung Electronics Co Ltd | Method and network |
Non-Patent Citations (3)
| Title |
|---|
| BIAO XU DEL: ""Cooperative Method of Traffic Signal Optimization and Speed Control of Connected Vehicles at Isolated Intersections"", 《IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS》 * |
| 董诚: "智能交通系统在网联汽车示范区管控平台中的关键应用", 《中国公共安全》 * |
| 郭继孚，刁晶晶，王倩，缐凯，张磊，周学松: ""预约在城市交通中的应用——北京市回龙观地区的预约出行实践"", 《城市交通》 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN111614756B (en) | 2023-04-07 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN110901693B (en) | Train operation control system based on 5G and cloud computing technology | |
| CN105809953B (en) | A kind of urban traffic flow bus or train route cooperative control method based on M2M | |
| CN102982678B (en) | Traffic data information service system and method for realizing traffic data information service | |
| CN103208194B (en) | A kind of urban traffic signal cooperative control system | |
| CN104751669A (en) | Internet of Vehicles based intelligent driving assisting system and method | |
| CN203644206U (en) | Electronic bus-stop board display device based on Internet-of-Vehicles | |
| CN103337162A (en) | Real-time planning and dynamic scheduling system for urban emergency rescue channel | |
| CN106652499A (en) | Booking-function provided priority passage system for special vehicles and the implementation method thereof | |
| CN112309122A (en) | Intelligent bus grading decision-making system based on multi-system cooperation | |
| CN106920412A (en) | Suitable for the intelligent transportation runtime and method of bus or train route collaboration | |
| Xu et al. | A review on intelligent road and its related key technologies | |
| CN111653092A (en) | Bus route is wisdom public transit management monitored control system in coordination | |
| CN110850777A (en) | Intelligent networking automobile cloud platform control operation system | |
| CN114194207A (en) | Automatic driving method, ADS and automatic driving vehicle | |
| CN110033625A (en) | Follow the pilotless automobile intelligent networking system of vehicle interaction priority rules | |
| CN106909111A (en) | Multifunctional control panel and multifunctional control method | |
| Yan et al. | The application of edge computing technology in the collaborative optimization of intelligent transportation system based on information physical fusion | |
| CN111614756B (en) | Large-scale networked vehicle cooperative service system | |
| CN102340433A (en) | Central node equipment and realization method thereof | |
| CN110217185A (en) | A kind of automobile-used dual chip intelligent network connection IVCU controller | |
| CN111524372B (en) | Bus signal priority implementation method and system based on artificial intelligence bus-road cooperation | |
| CN106652518A (en) | Vehicle coordination control system based on vehicle networking | |
| CN105637499A (en) | Dynamically scalable distributed heterogenous platform relational database | |
| CN201435147Y (en) | System for counting the number of passengers | |
| CN103236180B (en) | A kind of Vehicular information interactive interface method |
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 |