CN117152961A - Wisdom road condition monitoring display system based on data analysis - Google Patents
Wisdom road condition monitoring display system based on data analysis Download PDFInfo
- Publication number
- CN117152961A CN117152961A CN202311211962.7A CN202311211962A CN117152961A CN 117152961 A CN117152961 A CN 117152961A CN 202311211962 A CN202311211962 A CN 202311211962A CN 117152961 A CN117152961 A CN 117152961A
- Authority
- CN
- China
- Prior art keywords
- data
- road condition
- road
- traffic
- 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.)
- Pending
Links
- 238000012544 monitoring process Methods 0.000 title claims abstract description 44
- 238000007405 data analysis Methods 0.000 title claims abstract description 23
- 206010039203 Road traffic accident Diseases 0.000 claims description 17
- 238000012545 processing Methods 0.000 claims description 14
- 238000013499 data model Methods 0.000 claims description 9
- 238000004458 analytical method Methods 0.000 claims description 7
- 238000010276 construction Methods 0.000 claims description 7
- 238000007726 management method Methods 0.000 claims description 7
- 238000013500 data storage Methods 0.000 claims description 5
- 239000000446 fuel Substances 0.000 claims description 5
- 238000005457 optimization Methods 0.000 claims description 5
- 230000007613 environmental effect Effects 0.000 claims description 4
- 238000012423 maintenance Methods 0.000 claims description 4
- 238000000034 method Methods 0.000 description 5
- 238000010586 diagram Methods 0.000 description 3
- 238000005516 engineering process Methods 0.000 description 2
- 230000000007 visual effect Effects 0.000 description 2
- 238000012351 Integrated analysis Methods 0.000 description 1
- 230000001133 acceleration Effects 0.000 description 1
- 238000013480 data collection Methods 0.000 description 1
- 238000007418 data mining Methods 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000010801 machine learning Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
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
- G08G1/09—Arrangements for giving variable traffic instructions
- G08G1/0962—Arrangements for giving variable traffic instructions having an indicator mounted inside the vehicle, e.g. giving voice messages
- G08G1/0968—Systems involving transmission of navigation instructions to the vehicle
- G08G1/096805—Systems involving transmission of navigation instructions to the vehicle where the transmitted instructions are used to compute a route
- G08G1/096827—Systems involving transmission of navigation instructions to the vehicle where the transmitted instructions are used to compute a route where the route is computed onboard
-
- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/09—Arrangements for giving variable traffic instructions
- G08G1/0962—Arrangements for giving variable traffic instructions having an indicator mounted inside the vehicle, e.g. giving voice messages
- G08G1/0968—Systems involving transmission of navigation instructions to the vehicle
- G08G1/096877—Systems involving transmission of navigation instructions to the vehicle where the input to the navigation device is provided by a suitable I/O arrangement
- G08G1/096883—Systems involving transmission of navigation instructions to the vehicle where the input to the navigation device is provided by a suitable I/O arrangement where input information is obtained using a mobile device, e.g. a mobile phone, a PDA
-
- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/09—Arrangements for giving variable traffic instructions
- G08G1/0962—Arrangements for giving variable traffic instructions having an indicator mounted inside the vehicle, e.g. giving voice messages
- G08G1/0968—Systems involving transmission of navigation instructions to the vehicle
- G08G1/0969—Systems involving transmission of navigation instructions to the vehicle having a display in the form of a map
Landscapes
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Engineering & Computer Science (AREA)
- Radar, Positioning & Navigation (AREA)
- Remote Sensing (AREA)
- Chemical & Material Sciences (AREA)
- Analytical Chemistry (AREA)
- Traffic Control Systems (AREA)
Abstract
The invention provides an intelligent road condition monitoring and displaying system based on data analysis, which comprises the following components: the data module is used for monitoring road traffic conditions in real time based on the running state of the vehicle and predicting future road conditions by combining the data; the dynamic intelligent display module is integrated on a mobile phone application program or a vehicle-mounted display screen and the like, road condition data obtained by means of data analysis is displayed in real time in a dynamic map mode, meanwhile, road condition information in a certain time in the future is predicted and analyzed, and the road is optimized and recommended by combining vehicle classification, so that the road is visually evaluated and displayed. According to the invention, the data module and the dynamic intelligent display module work cooperatively, the road conditions are dynamically displayed in real time by means of the data analysis capability, the road condition information in a certain time in the future is predicted, and the corresponding optimized route recommendation is given according to different vehicle types.
Description
Technical Field
The invention relates to the technical field of road condition monitoring, in particular to an intelligent road condition monitoring display system based on data analysis.
Background
Along with the acceleration of the urban process and the increase of traffic flow, the effective management of road traffic becomes an important challenge, conventional road condition monitoring and displaying systems generally combine advanced technologies such as the Internet and big data to collect, process and analyze the road traffic data in real time, and then display the road traffic data on mobile equipment of users in a more convenient mode, but the existing systems have certain hysteresis problems in the display process, for example, when traffic is jammed, the system can monitor and correspondingly display jam conditions, and advance pre-judgment and suggestion are difficult to carry out, and meanwhile, when the conventional systems carry out route recommendation, different vehicle types are difficult to distinguish and consider.
Therefore, aiming at the problems, an intelligent road condition monitoring and displaying system based on data analysis, which has the capability of three-dimensional visual display and predictive analysis of road condition information and classification optimization of recommended routes, is developed.
Disclosure of Invention
In order to overcome the defects that the existing system has certain hysteresis in the display process, is difficult to predict and recommend the lead, and is difficult to consider the conditions of different vehicle types in a distinguishing way when the route recommendation is performed, the invention provides the intelligent road condition monitoring display system based on data analysis, which has the capability of three-dimensional visual display and predictive analysis of road condition information and classification optimization of recommended routes.
The technical scheme of the invention is as follows: an intelligent road condition monitoring and displaying system based on data analysis comprises:
the data module is used for monitoring road traffic conditions in real time based on the running state of the vehicle, collecting road traffic data, establishing a data model by taking the collected data as a reference, processing and analyzing the data model, extracting effective road condition information, and predicting future road conditions by combining the data;
the dynamic intelligent display module is integrated on a mobile phone application program or a vehicle-mounted display screen and the like, displays road condition data obtained by means of data analysis in real time in a dynamic map mode, simultaneously predicts and analyzes road condition information in a certain time in the future, optimizes and recommends routes by combining vehicle classification, and visually evaluates and displays the routes;
the multi-channel comprehensive monitoring module is used for comprehensively monitoring environmental factors such as weather environment and the like on the basis of the data module, acquiring more comprehensive data information, and integrally conveying the acquired data information into the data module for comprehensive storage;
and the data collaboration module is configured to upload and share the analyzed road condition data information so as to collaborate with other traffic management systems and city planning systems.
In one embodiment, the data module includes:
the real-time data monitoring unit can monitor traffic conditions on roads in real time, including traffic flow, speed, congestion conditions and the like, and timely feed back the traffic conditions to users;
the data processing and analyzing unit is used for processing and analyzing the collected original data, extracting useful road condition information, predicting future road condition trend and providing real-time traffic early warning information;
and the data storage and backup unit is configured to store and backup the data acquired by the system, so that the stability and the safety of the data information are ensured.
In one embodiment, the dynamic intelligent display module comprises:
the APP is applied to mobile phone application programs or vehicle-mounted display screens and other devices, so that convenience in operation and use is improved, personalized route planning and navigation suggestions are provided, and a user is helped to select an optimal path;
the live display unit adopts a three-dimensional model construction mode to carry out three-dimensional modeling on the road environment where the current vehicle is located and the selected path, and converts the acquired digital information into a dynamic display model so as to carry out dynamic display more intuitively;
the time period prediction unit predicts the road condition information of the selected route in the T time according to the prediction information obtained by the data processing and analyzing unit and the current live state of the live display unit, updates a real-time model according to the traffic flow collecting speed and marks the road state according to different time periods;
and the optimized route recommending unit is used for distinguishing and classifying the fuel vehicles and the new energy vehicles under the basic route recommending result, and giving different route selections according to different types of the user vehicles, so that the travel cost is reduced, and the travel efficiency is improved.
In one embodiment, the multi-channel integrated monitoring module includes:
the weather environment acquisition unit is used for acquiring data of the local weather environment information by means of the Internet and transmitting the weather environment data to the data module for comprehensive analysis;
the urban information acquisition unit timely updates construction or maintenance information of the local road by means of the Internet, and timely performs data addition and data model update in the data module;
the traffic accident information acquisition unit is used for marking road data with traffic accidents by means of data sharing, grading the influence degree of the traffic accidents, and when the marks exist on the route selected by the user, carrying out different-degree indication on the user according to the grading.
In one embodiment, the data collaboration module is configured to share collected and analyzed data in a big data sharing network, so as to improve data circulation efficiency, and to collaborate with a traffic management system, a city planning system, a road traffic guarantee system and the like, so as to promote coordination and optimization of a traffic system.
In one embodiment, the real-time data monitoring unit comprises a sensor, an on-vehicle data collecting device and the like.
In one embodiment, the T time is determined by the total length of the route selected by the user.
In one embodiment, the classification degree of the traffic accident information acquisition unit is marked according to the severity degree of the traffic accident and is divided into a 1-level state, a 2-level state and a 3-level state in sequence from the severity degree to the severity degree.
The invention has the following advantages: 1. according to the invention, the data module and the dynamic intelligent display module work cooperatively, the original data are collected and analyzed, the road conditions are dynamically displayed in real time according to the data analysis capability, the road condition information in a certain time in the future is predicted, the corresponding optimized route recommendation is given according to different vehicle types, the traveling efficiency is improved, and the traveling cost is reduced.
2. According to the invention, the multi-channel comprehensive monitoring module is used for comprehensively monitoring environmental factors such as weather environment and the like on the basis of the data module to obtain more comprehensive data information, so that the analysis result is more comprehensive and the prediction result is more accurate.
Drawings
Fig. 1 is a schematic structural view of the present invention.
Fig. 2 is a schematic structural diagram of a data module according to the present invention.
FIG. 3 is a schematic diagram of a dynamic smart display module according to the present invention.
Fig. 4 is a schematic structural diagram of a multi-channel integrated monitoring module according to the present invention.
Detailed Description
Reference herein to an embodiment means that a particular feature, structure, or characteristic described in connection with the embodiment may be included in at least one embodiment of the invention. The appearances of such phrases in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. Those of skill in the art will explicitly and implicitly appreciate that the embodiments described herein may be combined with other embodiments.
The intelligent road condition monitoring and displaying system based on data analysis is shown in fig. 1, and comprises a data module, a dynamic intelligent displaying module, a multi-channel comprehensive monitoring module and a data cooperative module, wherein the data module is used for monitoring road traffic conditions in real time based on vehicle driving states, collecting road traffic data, establishing a data model based on the collected data, processing and analyzing the data model, extracting effective road condition information, predicting future road conditions by combining the data, integrating the dynamic intelligent displaying module on mobile phone application programs or vehicle-mounted display screens and other devices, displaying the road condition data obtained by means of data analysis in real time in a dynamic map mode, simultaneously predicting and analyzing the road condition information in a certain future time, optimizing and recommending a route by combining vehicle classification, visually evaluating and displaying the route, and the multi-channel comprehensive monitoring module is used for comprehensively monitoring various environmental factors such as weather environments on the basis of the data module, acquiring more comprehensive data information, integrating and conveying the acquired data information into the data module for comprehensive storage, and configuring the data cooperative module to upload and share the analyzed road condition information, so that the road condition information and the urban traffic management system are planned to work cooperatively.
As shown in fig. 2, the data module includes a real-time data monitoring unit, a data processing and analyzing unit and a data storage and backup unit, where the real-time data monitoring unit includes a sensor and a vehicle-mounted data collecting device, and can monitor traffic conditions on a road in real time, including traffic flow, speed, congestion, and the like, and timely feed back to a user, the data processing and analyzing unit is used for processing and analyzing collected raw data, extracting useful road condition information, predicting future road condition trends, providing real-time traffic early warning information, and the data storage and backup unit is configured to store and backup data acquired by the system, so as to ensure stability and safety of the data information.
As shown in fig. 3, the dynamic intelligent display module includes an APP, a live display unit, a period prediction unit, and an optimized route recommendation unit, where the APP is applied to a mobile phone application program or a vehicle-mounted display screen, etc., to improve convenience of operation and use, provide personalized route planning and navigation advice, help a user select an optimal route, the live display unit adopts a three-dimensional model construction mode to perform three-dimensional modeling on a road environment where a current vehicle is located and the selected route, converts acquired digital information into a dynamic display model, performs dynamic display more intuitively, the period prediction unit predicts road condition information on a selected route in a T time according to prediction information obtained by the data processing and analysis unit, combines a current live state of the live display unit, determines total time of the route selected by the user, performs real-time model update according to a traffic collection speed, identifies the road state according to different time periods, optimizes a fuel vehicle and a new energy vehicle under a basic route recommendation result, gives different types of the optimized route recommendation unit, and performs different route selection according to different types of the user vehicles, and improves travel cost.
As shown in fig. 4, the multi-channel integrated monitoring module includes a weather environment acquisition unit, a city information acquisition unit and a traffic accident information acquisition unit, the weather environment unit performs data acquisition on local weather environment information by means of the internet and transmits the weather environment data to the data module for integrated analysis, the city information acquisition unit performs timely update on local road construction or maintenance information by means of the internet, data addition and data model update are performed in the data module in time, the traffic accident information acquisition unit performs identification on road data with traffic accidents by means of data sharing and classifies the influence degree of the traffic accidents, when identification exists on a route selected by a user, the user is subjected to different degree indication according to classification, the classification degree of the traffic accident information acquisition unit is marked according to the severity degree of the traffic accidents, and the severity degree is sequentially classified into a 1-level state, a 2-level state and a 3-level state from large to small.
The data collaboration module is configured to share collected and analyzed data in a big data sharing network, improves data circulation efficiency, and cooperates with a traffic management system, a city planning system, a road traffic guarantee system and the like to promote coordination and optimization of a traffic system.
It should be noted that, when the road condition monitoring operation is performed, the system can be operated to perform auxiliary operation, firstly, the real-time condition on the road is monitored by means of sensors on the vehicle, vehicle-mounted data collection equipment and the like, and meanwhile, the multi-channel comprehensive monitoring module is used for acquiring various data information, such as weather environment information, road maintenance information, road construction information, traffic accident information and the like, so that the collected data is more comprehensive, the acquired data can be uploaded in the form of digital information, and saved and backed up in the data storage and backup unit, then the acquired data information is comprehensively analyzed by means of the data processing and analysis unit, historical data and existing data are systematically analyzed by means of machine learning and data mining technology, future road condition information in T time is predicted, meanwhile, real-time road condition information is stereoscopically modeled and displayed by means of the live display unit on the user APP, and the dynamic condition of the vehicle and the road collection information can be intuitively and visualized on the APP according to model display, meanwhile, the period prediction unit can segment the predicted data information can be segmented, the predicted data information can be rapidly selected and optimized according to the prediction information in the different road section, the traffic condition is recommended to the user, the user is required to be selected and the recommended to the user, the user has the optimal driving condition, the traffic condition is recommended to the user is based on the traffic condition, the user is recommended to be optimized, the user is recommended to the traffic condition is carried out, the user is the traffic condition is recommended to be in the traffic condition is in the traveling condition is optimized, the traveling condition is based on the user is recommended to the traffic condition is recommended to the user, at this time, according to the road condition prediction and the end point position selected by the user, a plurality of smooth road sections with less traffic lights are recommended for the user, and the selectivity of the users of the same type of vehicle is displayed on the route mark, so that the user can quickly select the road sections, excessive fuel consumption caused by factors such as parking and congestion in the traveling process of the fuel vehicle is avoided, the traveling cost is reduced on the basis of facilitating the traveling of the user, the traveling efficiency is improved, in conclusion, the data module and the dynamic intelligent display module work cooperatively, the original data are collected and analyzed, the road conditions are dynamically displayed in real time according to the data analysis capability, the road condition information in a certain future time is predicted, the corresponding optimized route recommendation is given according to different vehicle types, the traveling efficiency is improved, and the traveling cost is reduced.
The embodiments described above are intended to provide those skilled in the art with a full range of modifications and variations to the embodiments described above without departing from the spirit of the invention, and therefore the scope of the invention is not limited to the embodiments described above, but is to be accorded the broadest scope consistent with the novel features set forth in the claims.
Claims (8)
1. An wisdom road condition monitoring display system based on data analysis, its characterized in that includes: the data module is used for monitoring road traffic conditions in real time based on the running state of the vehicle, collecting road traffic data, establishing a data model by taking the collected data as a reference, processing and analyzing the data model, extracting effective road condition information, and predicting future road conditions by combining the data;
the dynamic intelligent display module is integrated on a mobile phone application program or a vehicle-mounted display screen and the like, displays road condition data obtained by means of data analysis in real time in a dynamic map mode, simultaneously predicts and analyzes road condition information in a certain time in the future, optimizes and recommends routes by combining vehicle classification, and visually evaluates and displays the routes;
the multi-channel comprehensive monitoring module is used for comprehensively monitoring environmental factors such as weather environment and the like on the basis of the data module, acquiring more comprehensive data information, and integrally conveying the acquired data information into the data module for comprehensive storage; and the data collaboration module is configured to upload and share the analyzed road condition data information so as to collaborate with other traffic management systems and city planning systems.
2. The intelligent road condition monitoring and displaying system based on data analysis of claim 1, wherein the data module comprises:
the real-time data monitoring unit can monitor traffic conditions on roads in real time, including traffic flow, speed, congestion conditions and the like, and timely feed back the traffic conditions to users;
the data processing and analyzing unit is used for processing and analyzing the collected original data, extracting useful road condition information, predicting future road condition trend and providing real-time traffic early warning information;
and the data storage and backup unit is configured to store and backup the data acquired by the system, so that the stability and the safety of the data information are ensured.
3. The intelligent road condition monitoring and displaying system based on data analysis of claim 1, wherein the dynamic intelligent displaying module comprises:
the APP is applied to mobile phone application programs or vehicle-mounted display screens and other devices, so that convenience in operation and use is improved, personalized route planning and navigation suggestions are provided, and a user is helped to select an optimal path;
the live display unit adopts a three-dimensional model construction mode to carry out three-dimensional modeling on the road environment where the current vehicle is located and the selected path, and converts the acquired digital information into a dynamic display model so as to carry out dynamic display more intuitively;
the time period prediction unit predicts the road condition information of the selected route in the T time according to the prediction information obtained by the data processing and analyzing unit and the current live state of the live display unit, updates a real-time model according to the traffic flow collecting speed and marks the road state according to different time periods;
and the optimized route recommending unit is used for distinguishing and classifying the fuel vehicles and the new energy vehicles under the basic route recommending result, and giving different route selections according to different types of the user vehicles, so that the travel cost is reduced, and the travel efficiency is improved.
4. The intelligent road condition monitoring and displaying system based on data analysis of claim 1, wherein the multi-channel integrated monitoring module comprises:
the weather environment acquisition unit is used for acquiring data of the local weather environment information by means of the Internet and transmitting the weather environment data to the data module for comprehensive analysis;
the urban information acquisition unit timely updates construction or maintenance information of the local road by means of the Internet, and timely performs data addition and data model update in the data module;
the traffic accident information acquisition unit is used for marking road data with traffic accidents by means of data sharing, grading the influence degree of the traffic accidents, and when the marks exist on the route selected by the user, carrying out different-degree indication on the user according to the grading.
5. The intelligent road condition monitoring and displaying system based on data analysis according to claim 1, wherein the data collaboration module is configured to share collected and analyzed data in a big data sharing network, so that the data circulation efficiency is improved, and the intelligent road condition monitoring and displaying system is cooperated with a traffic management system, a city planning system, a road traffic guarantee system and the like to promote coordination and optimization of a traffic system.
6. The intelligent road condition monitoring and displaying system based on data analysis according to claim 2, wherein the real-time data monitoring unit comprises a sensor, a vehicle-mounted data collecting device and the like.
7. A data analysis based intelligent road condition monitoring and displaying system according to claim 3, wherein the T time is determined by the total duration of the route selected by the user.
8. The intelligent road condition monitoring and displaying system based on data analysis according to claim 4, wherein the classification degree of the traffic accident information acquisition unit is marked according to the severity degree of the traffic accident and is divided into a 1-level state, a 2-level state and a 3-level state in sequence from the severity degree to the low-level state.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311211962.7A CN117152961A (en) | 2023-09-20 | 2023-09-20 | Wisdom road condition monitoring display system based on data analysis |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311211962.7A CN117152961A (en) | 2023-09-20 | 2023-09-20 | Wisdom road condition monitoring display system based on data analysis |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN117152961A true CN117152961A (en) | 2023-12-01 |
Family
ID=88909968
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202311211962.7A Pending CN117152961A (en) | 2023-09-20 | 2023-09-20 | Wisdom road condition monitoring display system based on data analysis |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN117152961A (en) |
Citations (15)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103942955A (en) * | 2014-03-24 | 2014-07-23 | 河北盛航通信科技有限公司 | Traffic road condition trend predicting and prompting system based on mobile network |
| CN104121908A (en) * | 2013-04-25 | 2014-10-29 | 北京搜狗信息服务有限公司 | Method and system for time-delay path planning |
| CN108320553A (en) * | 2018-04-04 | 2018-07-24 | 大陆汽车投资（上海）有限公司 | Road condition predicting method based on driving path event |
| CN111092938A (en) * | 2019-12-04 | 2020-05-01 | 重庆特斯联智慧科技股份有限公司 | Smart city management system based on cloud platform |
| CN112466144A (en) * | 2021-02-03 | 2021-03-09 | 华睿交通科技有限公司 | Road network traffic situation management and control system |
| CN112950128A (en) * | 2021-04-12 | 2021-06-11 | 南京司凯奇汽车科技有限公司 | Intelligent logistics transportation system and method based on big data fusion |
| CN114216472A (en) * | 2021-10-27 | 2022-03-22 | 阿里巴巴新加坡控股有限公司 | Method, device, equipment and storage medium for confirming reasonability of driving route |
| CN114485710A (en) * | 2022-01-19 | 2022-05-13 | 北京百度网讯科技有限公司 | Map navigation method, system, device, electronic equipment and storage medium |
| CN115019534A (en) * | 2022-05-05 | 2022-09-06 | 湖北文理学院 | Method, device, equipment and storage medium for avoiding traffic jam |
| CN115457759A (en) * | 2022-07-22 | 2022-12-09 | 中智行(苏州)科技有限公司 | Road traffic real-time road condition information analysis system and method based on vehicle-road cooperation |
| CN115587678A (en) * | 2022-08-30 | 2023-01-10 | 湖南行必达网联科技有限公司 | Intelligent map traveling method and system for commercial vehicle |
| CN115691139A (en) * | 2022-11-02 | 2023-02-03 | 松果新能源汽车有限公司 | Big data road conditions prediction system of new energy automobile |
| CN116258290A (en) * | 2023-01-09 | 2023-06-13 | 无锡曦米阳光科技有限公司 | Wisdom trip system based on big data |
| CN116543560A (en) * | 2023-07-05 | 2023-08-04 | 深圳市诚识科技有限公司 | Intelligent road condition prediction system and method based on deep learning |
| CN116718202A (en) * | 2023-06-07 | 2023-09-08 | 速度科技股份有限公司 | Intelligent navigation system based on high-precision map |
-
2023
- 2023-09-20 CN CN202311211962.7A patent/CN117152961A/en active Pending
Patent Citations (15)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104121908A (en) * | 2013-04-25 | 2014-10-29 | 北京搜狗信息服务有限公司 | Method and system for time-delay path planning |
| CN103942955A (en) * | 2014-03-24 | 2014-07-23 | 河北盛航通信科技有限公司 | Traffic road condition trend predicting and prompting system based on mobile network |
| CN108320553A (en) * | 2018-04-04 | 2018-07-24 | 大陆汽车投资（上海）有限公司 | Road condition predicting method based on driving path event |
| CN111092938A (en) * | 2019-12-04 | 2020-05-01 | 重庆特斯联智慧科技股份有限公司 | Smart city management system based on cloud platform |
| CN112466144A (en) * | 2021-02-03 | 2021-03-09 | 华睿交通科技有限公司 | Road network traffic situation management and control system |
| CN112950128A (en) * | 2021-04-12 | 2021-06-11 | 南京司凯奇汽车科技有限公司 | Intelligent logistics transportation system and method based on big data fusion |
| CN114216472A (en) * | 2021-10-27 | 2022-03-22 | 阿里巴巴新加坡控股有限公司 | Method, device, equipment and storage medium for confirming reasonability of driving route |
| CN114485710A (en) * | 2022-01-19 | 2022-05-13 | 北京百度网讯科技有限公司 | Map navigation method, system, device, electronic equipment and storage medium |
| CN115019534A (en) * | 2022-05-05 | 2022-09-06 | 湖北文理学院 | Method, device, equipment and storage medium for avoiding traffic jam |
| CN115457759A (en) * | 2022-07-22 | 2022-12-09 | 中智行(苏州)科技有限公司 | Road traffic real-time road condition information analysis system and method based on vehicle-road cooperation |
| CN115587678A (en) * | 2022-08-30 | 2023-01-10 | 湖南行必达网联科技有限公司 | Intelligent map traveling method and system for commercial vehicle |
| CN115691139A (en) * | 2022-11-02 | 2023-02-03 | 松果新能源汽车有限公司 | Big data road conditions prediction system of new energy automobile |
| CN116258290A (en) * | 2023-01-09 | 2023-06-13 | 无锡曦米阳光科技有限公司 | Wisdom trip system based on big data |
| CN116718202A (en) * | 2023-06-07 | 2023-09-08 | 速度科技股份有限公司 | Intelligent navigation system based on high-precision map |
| CN116543560A (en) * | 2023-07-05 | 2023-08-04 | 深圳市诚识科技有限公司 | Intelligent road condition prediction system and method based on deep learning |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN107782564B (en) | Automatic driving vehicle evaluation system and method | |
| CA2888492C (en) | Driving event classification system | |
| US10490078B1 (en) | Technology for providing real-time route safety and risk feedback | |
| Antoniou et al. | A synthesis of emerging data collection technologies and their impact on traffic management applications | |
| Petrovska et al. | Traffic congestion analysis visualisation tool | |
| CN108074396A (en) | The evaluation method that drives safely and system | |
| CN114435138B (en) | Vehicle energy consumption prediction method and device, vehicle and storage medium | |
| CN113538898A (en) | Multisource data-based highway congestion management and control system | |
| CN104508719A (en) | Driving assistance system and driving assistance method | |
| CN104123833A (en) | Road condition planning method and device thereof | |
| CN105185115A (en) | Vehicle forecasting method and forecasting system | |
| CN112669597A (en) | Urban intelligent traffic management system based on cloud service | |
| CN103514743B (en) | A kind of abnormal traffic state characteristic recognition method of real-time index-matched memory range | |
| JP2010140135A (en) | Traffic information providing system, traffic information generation server device, in-vehicle navigation device | |
| WO2009006059A2 (en) | Predictive models of road reliability for traffic sensor configuration and routing | |
| KR102377637B1 (en) | Hybride Traffic Signal Control System and Method thereof | |
| CN103065469A (en) | Travel time determination method and travel time determination device | |
| CN105023454A (en) | Cooperative learning method for road infrastructure detection and characterization | |
| CN111931986A (en) | Garbage clearing and transporting vehicle route optimization method and urban garbage clearing and transporting ecological system | |
| CN104167096B (en) | A kind of urban traffic blocking method for early warning, device and early warning system | |
| CN117409584B (en) | Novel smart city traffic management method and system based on carbon neutralization | |
| Moriano et al. | Spatiotemporal features of traffic help reduce automatic accident detection time | |
| CN117152961A (en) | Wisdom road condition monitoring display system based on data analysis | |
| Ferreira et al. | Electric vehicle assistant based on driver profile | |
| Hounsell et al. | Using automatic vehicle location (AVL) data for evaluation of bus priority at traffic signals |
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 |