CN118097973B - Traffic peak-shifting risk management and control system for travel - Google Patents
Traffic peak-shifting risk management and control system for travel Download PDFInfo
- Publication number
- CN118097973B CN118097973B CN202410529499.9A CN202410529499A CN118097973B CN 118097973 B CN118097973 B CN 118097973B CN 202410529499 A CN202410529499 A CN 202410529499A CN 118097973 B CN118097973 B CN 118097973B
- Authority
- CN
- China
- Prior art keywords
- traffic
- current road
- congestion
- road
- value
- 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.)
- Active
Links
- 238000007726 management method Methods 0.000 claims abstract description 20
- 241000287107 Passer Species 0.000 claims abstract description 11
- 238000000034 method Methods 0.000 claims abstract description 8
- 238000013480 data collection Methods 0.000 claims abstract description 5
- 238000007405 data analysis Methods 0.000 claims abstract description 4
- 238000012163 sequencing technique Methods 0.000 claims abstract description 3
- 238000004364 calculation method Methods 0.000 claims description 7
- 238000013523 data management Methods 0.000 abstract 2
- 230000000694 effects Effects 0.000 description 3
- 206010033799 Paralysis Diseases 0.000 description 2
- 230000006978 adaptation Effects 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
Landscapes
- Traffic Control Systems (AREA)
Abstract
The invention belongs to the technical field of traffic road management, and discloses a traffic peak-staggering risk management and control system for travel, which comprises a traffic data collection module, a traffic data management module and a traffic data management module, wherein the traffic data collection module is used for collecting traffic data in a historical period to obtain historical traffic data; the traffic data analysis module is used for acquiring real-time traffic data through the traffic camera, and analyzing the current road traffic through the real-time traffic data to obtain the current road traffic condition; the method and the device can judge the traffic state of the current road by acquiring the congestion value of the current road, so that traffic control can be carried out, and serious traffic congestion of the current road is avoided; by pushing the alternative roads for traffic passers and sequencing the alternative roads, the alternative route with the lowest comprehensive pass value can be pushed for the traffic passers, and the subsequent traffic pressure of the congested road can be relieved.
Description
Technical Field
The invention relates to the technical field of traffic road management, in particular to a traffic peak-shifting risk management and control system for travel.
Background
Travel is an important mode for people to pursue leisure and relaxation in modern society, and the number and frequency of travel are continuously increased along with the improvement of the living standard of people and the rapid development of travel industry. Travel, however, also faces a number of challenges, of which traffic congestion events are particularly prominent.
However, during travel, existing traffic control related systems often have difficulty judging the current road traffic status and recommending other alternative roads to the current road in a congested state.
In view of the above, the present invention proposes a traffic peak-shifting risk management and control system for travel to solve the above-mentioned problems.
Disclosure of Invention
In order to overcome the defects in the prior art, the invention provides the following technical scheme for achieving the purposes: a traffic peak-shifting risk management and control system for travel, comprising: the traffic data collection module is used for collecting traffic data in a historical period to obtain historical traffic data;
the traffic data analysis module is used for acquiring real-time traffic data through the traffic camera, and analyzing the current road traffic through the real-time traffic data to obtain the current road traffic condition;
The road state judging module is used for carrying out traffic control on the current road if the current road traffic is in a congestion state, and not carrying out traffic control if the current road traffic is in a non-congestion state;
And the traffic peak staggering management module is used for acquiring a congestion peak period and a non-peak period based on the historical traffic data, and selecting a pushing alternative road according to the congestion peak period and the non-peak period.
Further, the historical traffic data includes: the number of vehicles passing in unit time, the speed of vehicles passing in unit time, the road vehicle passing time, the number of road traffic lanes and the number of road traffic lights;
a time-vehicle traffic profile is established based on the historical traffic data.
Further, the real-time traffic data is obtained by the traffic camera, the current road traffic is analyzed by the real-time traffic data to obtain the current road traffic condition, which comprises,
The congestion value of the current road traffic state is calculated as follows:
,
wherein, Is a congestion value; for the number of lane changes of the automobile, adding 1 to the number of lane changes of the automobile once every lane change of the automobile; The number of the current road lanes is the number; The accident occurrence rate coefficient of the current road is the accident occurrence rate coefficient of the current road; Is the traffic signal lamp influence coefficient; The current weather condition coefficient;
judging the current road traffic condition according to the current road congestion value,
Wherein the current road traffic condition is divided into a congestion state and a non-congestion state,
The method comprises the steps of presetting a congestion warning value, wherein the preset congestion warning value is a boundary between a congestion state and a non-congestion state, the congestion value below the preset congestion warning value is marked as the non-congestion state, and the congestion value above the preset congestion warning value is marked as the congestion state.
Further, the current traffic of the current road is obtained, the maximum remaining traffic of the current road is obtained, and the calculation formula of the maximum remaining traffic is as follows:
,
wherein, The maximum residual automobile traffic is obtained; The maximum traffic volume of the current road is the maximum traffic volume of the current road; Is the current traffic volume of the automobile.
Further, if the current road traffic is in a congestion state, traffic control is performed on the current road, and if the current road traffic is in a non-congestion state, traffic control is not required, including,
If the congestion value of the current road reaches a preset congestion warning value, reminding related traffic personnel to control each entrance of the current road;
meanwhile, obtaining the congestion values of other equidirectional roads around the current road, and selecting the equidirectional road with a lower current congestion value to control the traffic signal lamp;
And acquiring a function relation between the time of traffic signals of the same-direction road and the traffic volume of the automobile based on the historical traffic data.
Further, the obtaining the maximum traffic volume of the current road comprises,
Acquiring historical traffic data of a current road;
obtaining the average speed of the current road under different traffic volumes;
And (3) establishing a regression model according to the average speed of less and more than the average speed of different automobile traffic, extracting the different automobile traffic with obviously changed average speed, and recording the different automobile traffic as the maximum automobile traffic of the current road.
Further, the method includes obtaining a congestion peak period and an off-peak period based on historical traffic data, selecting a push candidate road according to the congestion peak period and the off-peak period, including,
According to the traffic history data, recording a time period which reaches more than the maximum traffic volume of the current road as a congestion peak time period;
Recording the time period which does not reach the maximum traffic of the current road as the off-peak time period;
acquiring a congestion peak period and a non-peak period of other roads around the current road in the same direction;
Acquiring other surrounding roads which are not in the same direction as the current road and have the same congestion peak period;
Marking other roads around the same direction as alternative roads;
And if the current road reaches the maximum traffic volume, pushing other alternative roads for traffic passers, wherein the alternative roads are all in off-peak time periods.
Further, the alternative road includes:
acquiring the total distance length of a current road in a congestion state;
Acquiring the Manhattan distance length of the alternative road;
Acquiring a congestion value of an alternative road;
And obtaining the candidate road with the shortest passing time.
Further, the calculation formula of the alternative road is as follows:
,
wherein, In order to integrate the traffic value,For the manhattan distance length,For the weight value of the manhattan distance length,As a value of the congestion,Is a weight value of the congestion value.
And further, sequencing the comprehensive traffic values, and marking the candidate road with the lowest comprehensive traffic value as the candidate road with the shortest traffic time.
The traffic peak-staggering risk management and control system for travel has the technical effects and advantages that:
1. By acquiring the congestion value of the current road, the state of the current road traffic can be judged, whether the current road traffic belongs to the congestion state or not is judged, and whether traffic control on the current road is needed or not is further judged, so that serious traffic congestion on the current road and traffic paralysis caused by the serious traffic congestion can be avoided.
2. By means of the alternative roads pushed by traffic passers and the ordering of the alternative roads, the alternative route with the lowest comprehensive pass value can be pushed by the traffic passers, the traffic passers can be reduced, the most appropriate alternative roads can be selected after the current road is congested, the subsequent traffic pressure of the congested roads can be relieved, and the occurrence of the congestion condition of the alternative roads can be reduced through the fact that the alternative routes are in off-peak periods.
Drawings
FIG. 1 is a schematic diagram of a traffic peak-shifting risk management and control system for travel according to the present invention;
FIG. 2 is a flow chart of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Example 1
Referring to fig. 1 to 2, a traffic peak-staggering risk management and control system for travel according to the present embodiment includes:
the traffic data collection module is used for collecting traffic data in a historical period to obtain historical traffic data;
the traffic data analysis module is used for acquiring real-time traffic data through the traffic camera, and analyzing the current road traffic through the real-time traffic data to obtain the current road traffic condition;
And the road state judging module is used for carrying out traffic control on the current road if the current road traffic is in a congestion state, and not carrying out traffic control if the current road traffic is in a non-congestion state.
Specifically, the historical traffic data includes: the number of vehicles passing in unit time, the speed of vehicles passing in unit time, the road vehicle passing time, the number of road traffic lanes and the number of road traffic lights;
a time-vehicle traffic profile is established based on the historical traffic data.
Specifically, the real-time traffic data is obtained by the traffic camera, the current road traffic is analyzed by the real-time traffic data to obtain the current road traffic condition, which comprises,
The congestion value of the current road traffic state is calculated as follows:
,
wherein, Is a congestion value; for the number of lane changes of the automobile, adding 1 to the number of lane changes of the automobile once every lane change of the automobile; The number of the current road lanes is the number; The accident occurrence rate coefficient of the current road is the accident occurrence rate coefficient of the current road; Is the traffic signal lamp influence coefficient; The current weather condition coefficient; the data are processed in a dimensionless manner, and if the current weather condition coefficient is one of bad weather such as non-rain, snow, hail, heavy fog and the like, the current weather condition coefficient is determined to be the same as the current weather condition coefficient The value of (1) is 1, if no accident occurs in the current road accidentThe value of the current road accident occurrence rate coefficient is 1, if the duration interval of the current road traffic signal lamp is not changed or damaged, the current road accident occurrence rate coefficient is not changed or damagedThe value of the traffic signal lamp influence coefficient is 1;
judging the current road traffic condition according to the current road congestion value,
Wherein the current road traffic condition is divided into a congestion state and a non-congestion state,
The method comprises the steps of presetting a congestion warning value, wherein the preset congestion warning value is a boundary between a congestion state and a non-congestion state, the congestion value below the preset congestion warning value is marked as the non-congestion state, and the congestion value above the preset congestion warning value is marked as the congestion state.
Specifically, the current traffic volume of the current road is obtained, the maximum remaining traffic volume of the current road is obtained, and the calculation formula of the maximum remaining traffic volume is as follows:
,
wherein, The maximum residual automobile traffic is obtained; The maximum traffic volume of the current road is the maximum traffic volume of the current road; Is the current traffic volume of the automobile.
Specifically, if the current road traffic is in a congested state, traffic control is performed on the current road, and if the current road traffic is in a non-congested state, traffic control is not required, including,
If the congestion value of the current road reaches a preset congestion warning value, reminding related traffic personnel to control each entrance of the current road;
meanwhile, obtaining the congestion values of other equidirectional roads around the current road, and selecting the equidirectional road with a lower current congestion value to control the traffic signal lamp;
And acquiring a function relation between the time of traffic signals of the same-direction road and the traffic volume of the automobile based on the historical traffic data.
Specifically, the maximum traffic volume of the current road is obtained, including,
Acquiring historical traffic data of a current road;
obtaining the average speed of the current road under different traffic volumes;
And (3) establishing a regression model according to the average speed of less and more than the average speed of different automobile traffic, extracting the different automobile traffic with obviously changed average speed, and recording the different automobile traffic as the maximum automobile traffic of the current road.
According to the method and the device, the current road traffic state can be judged by acquiring the current road congestion value, whether the current road traffic belongs to the congestion state or not is judged, and whether traffic control on the current road is needed or not is judged, so that serious traffic congestion on the current road and traffic paralysis caused by the serious traffic congestion can be avoided.
Example 2
Referring to fig. 1 to 2, a traffic peak-staggering risk management and control system for travel according to the present embodiment includes:
The traffic peak staggering management module is used for acquiring a congestion peak period and a non-peak period based on historical traffic data, and selecting a pushing alternative road according to the congestion peak period and the non-peak period;
Specifically, a congestion peak period and an off-peak period are obtained based on historical traffic data, and a push candidate road is selected according to the congestion peak period and the off-peak period, including,
According to the traffic history data, recording the time period which reaches the maximum traffic volume of the current road as a congestion peak time period;
Recording the time period which does not reach the maximum traffic of the current road as the off-peak time period;
acquiring a congestion peak period and a non-peak period of other roads around the current road in the same direction;
Acquiring other surrounding roads which are not in the same direction as the current road and have the same congestion peak period;
Marking other roads around the same direction as alternative roads;
And if the current road reaches the maximum traffic volume, pushing other alternative roads for traffic passers, wherein the alternative roads are all in off-peak time periods.
Specifically, the alternative road includes:
acquiring the total distance length of a current road in a congestion state;
Acquiring the Manhattan distance length of the alternative road;
Acquiring a congestion value of an alternative road;
acquiring an alternative road with the shortest passing time;
specifically, the calculation formula of the alternative road is as follows:
,
wherein, In order to integrate the traffic value,For the manhattan distance length,For the weight value of the manhattan distance length,As a value of the congestion,Is a weight value for the congestion value, wherein,AndThe sum is 1.
Specifically, the comprehensive traffic values are ordered, and the candidate road with the lowest comprehensive traffic value and the shortest traffic time is marked.
According to the method and the device for selecting the alternative roads, the alternative roads pushed by the traffic passers and the alternative roads are ordered, so that the alternative route with the lowest comprehensive pass value can be pushed for the traffic passers, the alternative roads which are most suitable to pass after the traffic passers occur on the current road can be reduced, further the subsequent traffic pressure of the congested roads can be relieved, and the occurrence of the congestion condition of the alternative roads can be reduced through the fact that the alternative routes are all in off-peak periods.
The basic principles of the present application have been described above in connection with specific embodiments, but it should be noted that the advantages, benefits, effects, etc. mentioned in the present application are merely examples and not intended to be limiting, and these advantages, benefits, effects, etc. are not to be construed as necessarily possessed by the various embodiments of the application. Furthermore, the specific details disclosed herein are for purposes of illustration and understanding only, and are not intended to be limiting, as the application is not necessarily limited to practice with the above described specific details.
The above formulas are all formulas with dimensionality removed and numerical calculation, the formulas are formulas with the latest real situation obtained by software simulation through collecting a large amount of data, and preset parameters and threshold selection in the formulas are set by those skilled in the art according to the actual situation.
The above is only a preferred embodiment of the present invention, and the protection scope of the present invention is not limited to the above examples, and all technical solutions belonging to the concept of the present invention belong to the protection scope of the present invention. It should be noted that modifications and adaptations to those skilled in the art without departing from the principles of the present invention are intended to be comprehended within the scope of the present invention.
Claims (6)
1. A traffic peak-shifting risk management and control system for travel is characterized by comprising,
The traffic data collection module is used for collecting traffic data in a historical period to obtain historical traffic data;
the traffic data analysis module is used for acquiring real-time traffic data through the traffic camera, and analyzing the current road traffic through the real-time traffic data to obtain the current road traffic condition;
The road state judging module is used for carrying out traffic control on the current road if the current road traffic is in a congestion state, and not carrying out traffic control if the current road traffic is in a non-congestion state;
The traffic peak staggering management module is used for acquiring a congestion peak period and a non-peak period based on historical traffic data, and selecting a pushing alternative road according to the congestion peak period and the non-peak period;
the alternative road comprises:
acquiring the total distance length of a current road in a congestion state;
Acquiring the Manhattan distance length of the alternative road;
Acquiring a congestion value of an alternative road;
acquiring an alternative road with the shortest passing time;
the calculation formula of the alternative road is as follows: ,
wherein, In order to integrate the traffic value,For the manhattan distance length,For the weight value of the manhattan distance length,As a value of the congestion,A weight value of the congestion value;
the real-time traffic data is acquired by the traffic camera, the current road traffic is analyzed by the real-time traffic data to obtain the current road traffic condition, which comprises,
The congestion value of the current road traffic state is calculated as follows:,
wherein, Is a congestion value; for the number of lane changes of the automobile, adding 1 to the number of lane changes of the automobile once every lane change of the automobile; The number of the current road lanes is the number; The accident occurrence rate coefficient of the current road is the accident occurrence rate coefficient of the current road; Is the traffic signal lamp influence coefficient; As a coefficient of the current weather condition, The maximum residual automobile traffic is obtained;
Judging the current road traffic condition according to the congestion value of the current road, wherein the current road traffic condition is divided into a congestion state and a non-congestion state;
the method comprises the steps of presetting a congestion warning value, wherein the preset congestion warning value is a boundary between a congestion state and a non-congestion state, the congestion value below the preset congestion warning value is marked as the non-congestion state, and the congestion value above the preset congestion warning value is marked as the congestion state;
And sequencing the comprehensive traffic values, and marking the candidate road with the lowest comprehensive traffic value as the candidate road with the shortest traffic time.
2. The traffic peak hour risk management and control system for travel according to claim 1, wherein the historical traffic data comprises: the number of vehicles passing in unit time, the speed of vehicles passing in unit time, the road vehicle passing time, the number of road traffic lanes and the number of road traffic lights;
a time-vehicle traffic profile is established based on the historical traffic data.
3. The traffic peak-staggering risk management and control system for travel according to claim 1, wherein the calculation formula for obtaining the current traffic volume of the current road and obtaining the maximum traffic volume of the current road is: Wherein, the method comprises the steps of, wherein, The maximum traffic volume of the current road is the maximum traffic volume of the current road; The current traffic volume of the current road.
4. The traffic peak shifting risk management and control system for traveling according to claim 1, wherein the traffic control is performed on the current road if the current road traffic is in a congested state, and the traffic control is not performed if the current road traffic is in a non-congested state, comprising,
If the congestion value of the current road reaches a preset congestion warning value, reminding related traffic personnel to control each entrance of the current road;
meanwhile, obtaining the congestion values of other equidirectional roads around the current road, and selecting the equidirectional road with a lower current congestion value to control the traffic signal lamp;
And acquiring a function relation between the time of traffic signals of the same-direction road and the traffic volume of the automobile based on the historical traffic data.
5. A traffic peak shifting risk management and control system for travel according to claim 3, wherein said obtaining the maximum traffic volume of the current road comprises,
Acquiring historical traffic data of a current road;
obtaining the average speed of the current road under different traffic volumes;
And (3) establishing a regression model according to the average speed of less and more than the average speed of different automobile traffic, extracting the different automobile traffic with obviously changed average speed, and recording the different automobile traffic as the maximum automobile traffic of the current road.
6. The traffic peak staggering risk management and control system for travel according to claim 1, wherein the acquiring of the congested peak period and the off-peak period based on the historical traffic data selects the push candidate road according to the congested peak period and the off-peak period includes,
According to the traffic history data, recording a time period which reaches more than the maximum traffic volume of the current road as a congestion peak time period;
Recording the time period which does not reach the maximum traffic of the current road as the off-peak time period;
acquiring a congestion peak period and a non-peak period of other roads around the current road in the same direction;
Acquiring other surrounding roads which are not in the same direction as the current road and have the same congestion peak period;
Marking other roads around the same direction as alternative roads;
And if the current road reaches the maximum traffic volume, pushing other alternative roads for traffic passers, wherein the alternative roads are all in off-peak time periods.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202410529499.9A CN118097973B (en) | 2024-04-29 | 2024-04-29 | Traffic peak-shifting risk management and control system for travel |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202410529499.9A CN118097973B (en) | 2024-04-29 | 2024-04-29 | Traffic peak-shifting risk management and control system for travel |
Publications (2)
Publication Number | Publication Date |
---|---|
CN118097973A CN118097973A (en) | 2024-05-28 |
CN118097973B true CN118097973B (en) | 2024-07-09 |
Family
ID=91142536
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN202410529499.9A Active CN118097973B (en) | 2024-04-29 | 2024-04-29 | Traffic peak-shifting risk management and control system for travel |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN118097973B (en) |
Citations (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
EP0292897A2 (en) * | 1987-05-25 | 1988-11-30 | Siemens Aktiengesellschaft | Evaluation method of the travel time measured in vehicles by means of a guidance and information device in a guidance and information system |
Family Cites Families (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP5374067B2 (en) * | 2008-04-21 | 2013-12-25 | 株式会社豊田中央研究所 | Traffic condition simulation apparatus and program |
KR20170105281A (en) * | 2016-03-09 | 2017-09-19 | 현대자동차주식회사 | System and method for recommending path |
CN107742418B (en) * | 2017-09-29 | 2020-04-24 | 东南大学 | Automatic identification method for traffic jam state and jam point position of urban expressway |
CN111145544B (en) * | 2019-12-25 | 2021-05-25 | 北京交通大学 | Travel time and route prediction method based on congestion spreading dissipation model |
CN112348152B (en) * | 2020-11-05 | 2023-04-18 | 襄阳易捷达隆物联科技有限公司 | Traffic jam dispersion method and system based on improved analytic hierarchy process |
CN117894178A (en) * | 2024-01-22 | 2024-04-16 | 安徽省公路工程建设监理有限责任公司 | Intelligent cloud supervision system based on intelligent high speed |
-
2024
- 2024-04-29 CN CN202410529499.9A patent/CN118097973B/en active Active
Patent Citations (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
EP0292897A2 (en) * | 1987-05-25 | 1988-11-30 | Siemens Aktiengesellschaft | Evaluation method of the travel time measured in vehicles by means of a guidance and information device in a guidance and information system |
Also Published As
Publication number | Publication date |
---|---|
CN118097973A (en) | 2024-05-28 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN106710215B (en) | Bottleneck upstream lane grade traffic status prediction system and implementation method | |
CN112435473B (en) | Expressway traffic flow tracing and ramp regulating method combined with historical data | |
CN106971540B (en) | The behaviorist risk quantization method of driver under freeway tunnel environment | |
CN113066287B (en) | Active prevention and control method and system for highway traffic accident site risks | |
CN113870570B (en) | ETC-based road network operation state method, system and storage medium | |
CN104732762A (en) | Traffic abnormal road section probability identification method | |
CN106781460B (en) | A kind of road section traffic volume state determines method and device | |
CN109493606B (en) | Method and system for identifying illegal parking vehicles on expressway | |
CN115331401B (en) | Intelligent analysis and early warning system for driving safety of expressway long-distance tunnel vehicle | |
CN111754786A (en) | System for identifying traffic vehicle passing events on highway | |
CN112712714A (en) | Traffic light timing optimization method and simulation system based on bayonet monitoring equipment | |
Asamer et al. | Estimation of road capacity and free flow speed for urban roads under adverse weather conditions | |
CN111081030B (en) | Method and system for judging traffic jam on expressway | |
CN110276951B (en) | Traffic jam early warning method based on mobile internet | |
CN118097973B (en) | Traffic peak-shifting risk management and control system for travel | |
CN113920727A (en) | Method and system for predicting road congestion caused by construction | |
CN111767644B (en) | Method for estimating actual traffic capacity of expressway road section by considering speed limit influence of single tunnel | |
JP3876653B2 (en) | Traffic flow anomaly detection apparatus and method | |
CN114627643B (en) | Highway accident risk prediction method, device, equipment and medium | |
CN116631187A (en) | Intelligent acquisition and analysis system for case on-site investigation information | |
CN112053570B (en) | Urban traffic road network running state monitoring and evaluating method and system | |
CN114664060A (en) | Traffic incident early warning method, device, equipment and storage medium | |
CN111739303A (en) | Evaluation method and device of intelligent high-speed rain and fog driving safety guidance system | |
CN116246491B (en) | Track feature mining-based rear-end collision risk road section dynamic identification and control method | |
CN115953917B (en) | Dangerous variable road segment identification and control method based on real-time track feature analysis |
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 |