CN112885084B - Tunnel traffic incident detection method and system - Google Patents
Tunnel traffic incident detection method and system Download PDFInfo
- Publication number
- CN112885084B CN112885084B CN202110052129.7A CN202110052129A CN112885084B CN 112885084 B CN112885084 B CN 112885084B CN 202110052129 A CN202110052129 A CN 202110052129A CN 112885084 B CN112885084 B CN 112885084B
- Authority
- CN
- China
- Prior art keywords
- tunnel
- vehicle
- traffic
- traffic event
- vehicles
- 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
Images
Classifications
-
- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
-
- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
- G08G1/0108—Measuring and analyzing of parameters relative to traffic conditions based on the source of data
- G08G1/0112—Measuring and analyzing of parameters relative to traffic conditions based on the source of data from the vehicle, e.g. floating car data [FCD]
Landscapes
- Chemical & Material Sciences (AREA)
- Analytical Chemistry (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Traffic Control Systems (AREA)
Abstract
The application provides a tunnel traffic incident detection method, which comprises the following steps: s1, detecting the occurrence of the traffic incident by the vehicle in the tunnel through the equipped vehicle end; s2, the receiving end outside the tunnel receives the traffic incident information reported by the vehicle ends of a plurality of vehicles in the tunnel; and S3, the receiving end judges whether a traffic incident occurs in the tunnel or not based on the traffic incident information and the corresponding vehicle types. The scheme of the application effectively solves the problem that the reliability of detecting whether the traffic incident happens in the tunnel is low.
Description
Technical Field
The application relates to the field of intelligent traffic, in particular to a tunnel traffic incident detection method and system.
Background
The tunnel is an important component of a road traffic system, and is necessary for improving the road network management capability and the smooth state in order to enable a road manager or a road network vehicle to know the traffic condition in the tunnel in time. Meanwhile, with the development of vehicle intelligence, more and more vehicles have the capability of traffic detection and transmission, for example, vehicles equipped with a traffic incident detection device can detect surrounding traffic incidents on site, or vehicle occupants manually input traffic incident occurrence information and then send the traffic incident occurrence information to a receiving device outside a tunnel through an internet of vehicles. However, the accuracy of detecting the traffic events in the tunnel cannot be guaranteed in the prior art because the field of view in the tunnel is usually poor and the detection information of a single vehicle is unreliable.
Disclosure of Invention
In order to solve the technical problem, the application provides a tunnel traffic incident detection method and system, so that a receiving device outside a tunnel can timely and accurately know whether a traffic incident occurs in the tunnel, and intelligent traffic combing is performed.
A first aspect of the present application provides a tunnel traffic event detection method, including:
s1, detecting the occurrence of the traffic incident by the vehicle in the tunnel through the equipped vehicle end;
s2, the receiving end outside the tunnel receives the traffic incident information reported by the vehicle ends of a plurality of vehicles in the tunnel;
and S3, the receiving end judges whether a traffic incident occurs in the tunnel or not based on the traffic incident information and the corresponding vehicle types.
Optionally, the traffic event information includes a traffic event occurrence code, a vehicle type, a vehicle ID, and a location of the vehicle within the tunnel.
Optionally, the traffic event information includes a traffic event occurrence code, a vehicle type, a vehicle ID, and a number of times the traffic event information is relayed.
Optionally, the position of the vehicle in the tunnel is determined based on the number of times the traffic event information is relayed.
Optionally, the determining, by the receiving end, whether a traffic event occurs in the tunnel based on the traffic event information and the respective corresponding vehicle types includes:
and the receiving end draws a vehicle distribution map for uploading the traffic event information based on the vehicle types and the positions corresponding to the traffic event information respectively in the traffic event information, the vehicle types are marked in the vehicle distribution map, if the vehicle distribution conditions in the vehicle distribution map meet preset conditions, the traffic event is judged to occur in the tunnel, and if not, the traffic event is judged not to occur in the tunnel.
Optionally, before executing the step S3, the method further includes:
and S20, judging whether the quantity of the traffic event information is larger than a threshold value, if so, executing a step S3, otherwise, judging that no traffic event occurs in the tunnel.
Optionally, the receiving end is an RSU provided near the tunnel entrance, or a vehicle equipped with a vehicle end located near the tunnel entrance.
A second aspect of the present application provides a tunnel traffic incident detection system, which includes a vehicle end and a receiving end;
the vehicle end is equipped with a vehicle and used for detecting the occurrence of traffic events in the tunnel;
the receiving end is arranged outside the tunnel and used for receiving traffic incident information reported by the vehicle ends of a plurality of vehicles in the tunnel and judging whether a traffic incident occurs in the tunnel or not based on the traffic incident information and the respective corresponding vehicle types.
A third aspect of the present application provides an electronic device, which is disposed at a receiving end, the device including:
a memory storing executable program code;
a processor coupled with the memory;
the processor calls the executable program code stored in the memory to execute the following method steps:
receiving traffic event information reported by the vehicle ends of a plurality of vehicles in the tunnel; and judging whether a traffic incident occurs in the tunnel or not based on the information of the traffic incidents and the types of the vehicles corresponding to the information of the traffic incidents.
A fourth aspect of the present application provides a computer storage medium, which is disposed at a receiving end, and stores computer instructions, and when the computer instructions are called, the computer instructions are configured to perform the following method steps:
receiving traffic event information reported by the vehicle ends of a plurality of vehicles in the tunnel; and judging whether a traffic incident occurs in the tunnel or not based on the information of the traffic incidents and the types of the vehicles corresponding to the information of the traffic incidents.
The invention has the beneficial effects that: after receiving the traffic incident information reported by each vehicle in the tunnel, the scheme of the application further performs secondary judgment based on the vehicle types (including large-sized vehicles, medium-sized vehicles and small-sized vehicles), and finally outputs the conclusion whether the traffic incident with higher reliability occurs, so as to be beneficial to subsequent traffic dispersion and other applications. Therefore, the problem that whether the traffic incident happens in the tunnel or not is low in reliability is effectively solved by the scheme.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are required to be used in the embodiments will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present application and therefore should not be considered as limiting the scope, and for those skilled in the art, other related drawings can be obtained from the drawings without inventive effort.
Fig. 1 is a schematic flowchart of a tunnel traffic event detection method according to an embodiment of the present application.
Fig. 2 is a schematic structural diagram of a tunnel traffic event detection system disclosed in the second embodiment of the present application.
Fig. 3 is a schematic structural diagram of an electronic device disclosed in the third embodiment of the present application.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are some embodiments of the present application, but not all embodiments. The components of the embodiments of the present application, generally described and illustrated in the figures herein, can be arranged and designed in a wide variety of different configurations.
Thus, the following detailed description of the embodiments of the present application, presented in the accompanying drawings, is not intended to limit the scope of the claimed application, but is merely representative of selected embodiments of the application. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus, once an item is defined in one figure, it need not be further defined and explained in subsequent figures.
In the description of the present application, it should be noted that if the terms "upper", "lower", "inside", "outside", etc. are used for indicating the orientation or positional relationship based on the orientation or positional relationship shown in the drawings or the orientation or positional relationship which the present invention product is usually put into use, it is only for convenience of describing the present application and simplifying the description, but it is not intended to indicate or imply that the referred device or element must have a specific orientation, be constructed in a specific orientation and be operated, and thus, should not be construed as limiting the present application.
Furthermore, the appearances of the terms "first," "second," and the like, if any, are used solely to distinguish one from another and are not to be construed as indicating or implying relative importance.
It should be noted that the features of the embodiments of the present application may be combined with each other without conflict.
Example 1
Referring to fig. 1, fig. 1 is a schematic flowchart illustrating a tunnel traffic event detection method according to an embodiment of the present application. As shown in fig. 1, a first aspect of the present application provides a tunnel traffic event detection method, including:
s1, detecting the occurrence of the traffic incident by the vehicle in the tunnel through the equipped vehicle end;
s2, the receiving end outside the tunnel receives the traffic incident information reported by the vehicle ends of a plurality of vehicles in the tunnel;
and S3, the receiving end judges whether a traffic incident occurs in the tunnel or not based on the traffic incident information and the corresponding vehicle types.
With the development of automotive technology, more and more vehicles are equipped with various detection devices, such as radars, cameras, and the like, and the detection of traffic events can be realized by using the intelligent devices and an intelligent recognition algorithm. However, for a tunnel scene, the field of view in the tunnel is generally poor, and the detection result of a single vehicle, especially a small vehicle, is easily interfered by various factors, for example, a large vehicle may block the view of a small vehicle, and at this time, the vehicle end of the small vehicle or a passenger in the small vehicle cannot detect complete traffic information ahead, and further, the conclusion of judging a traffic incident ahead is unreliable. For the problem, after receiving the traffic event information reported by each vehicle in the tunnel, the scheme of the application further performs secondary judgment based on the vehicle type (including large-sized vehicles, medium-sized vehicles and small-sized vehicles), and finally outputs a conclusion whether the traffic event with higher reliability occurs, so as to be beneficial to subsequent applications such as traffic dispersion. Since the signals of the mobile operators and the satellite positioning signals in the tunnel are weak, in the application, the vehicle networking technology, namely V2V or V2R, is adopted for the mode that the vehicle end transmits the traffic event information to the outside of the tunnel.
Optionally, the traffic event information includes a traffic event occurrence code, a vehicle type, a vehicle ID, and a location of the vehicle within the tunnel.
The traffic incident occurrence code can be used for describing the conclusion of the occurrence of the traffic incident, and the vehicle type can be a large-sized vehicle, a medium-sized vehicle or a small-sized vehicle; the vehicle can also be a large truck, a container truck, a trailer, an XX passenger car, a car, an SUV and the like, and at the moment, the receiving end can automatically match the vehicle to belong to a large vehicle, a medium vehicle or a small vehicle based on a preset vehicle type table. In addition, the position of the vehicle in the tunnel can be realized by adopting an indoor positioning wireless network in the tunnel.
Optionally, the traffic event information includes a traffic event occurrence code, a vehicle type, a vehicle ID, and a number of times the traffic event information is relayed.
Optionally, the position of the vehicle in the tunnel is determined based on the number of times the traffic event information is relayed.
For the determination mode of the position of the vehicle in the tunnel, when the indoor positioning wireless network is not arranged in the tunnel, the receiving end calculates the position based on the number of times of the relayed traffic event signals. Specifically, the method comprises the following steps: the traffic signal also comprises a vehicle ID and is relayed to the rear of the traffic driving direction through the V2R technology, and other vehicles count the traffic event information after receiving the traffic event signal sent by the previous vehicle, and then attach the count information to the traffic event signal. Therefore, the receiving end arranged outside the tunnel can determine the number of times of relaying the signal corresponding to each ID based on the number of times of relaying the traffic event signal sent by each vehicle, and further can determine the position in the tunnel where the vehicle corresponding to the traffic event signal corresponding to each ID is located based on the set single-relay length.
Optionally, the determining, by the receiving end, whether a traffic event occurs in the tunnel based on the traffic event information and the respective corresponding vehicle types includes:
and the receiving end draws a vehicle distribution map for uploading the traffic event information based on the vehicle ID, the vehicle type and the position which correspond to the traffic event information respectively, the vehicle type is marked in the vehicle distribution map, if the vehicle distribution condition in the vehicle distribution map meets a preset condition, the traffic event is judged to occur in the tunnel, and if not, the traffic event is judged not to occur in the tunnel.
And drawing a distribution map of each vehicle uploading the traffic event information in the tunnel based on the vehicle ID, the vehicle type and the position, and further judging whether the distribution condition of the vehicles meets the preset condition based on the distribution map. However, when the number of vehicles in the tunnel is large, the receiving end receives a large amount of reported data, i.e., large data, and therefore the large data needs to be screened. Based on this consideration, determine whether the distribution condition of vehicle satisfies the predetermined condition in this application, include:
1) when the occupation ratio of medium-sized vehicles and large-sized vehicles in the first and second peripheral areas of the traffic incident place is greater than a threshold th2, judging that a traffic incident occurs in the tunnel;
2) when the occupation ratio of medium-sized vehicles to large-sized vehicles in the first and second peripheral areas of the traffic incident place is not more than the threshold th2, if the number of the medium-sized vehicles in the first peripheral area of the traffic incident place is more than the threshold th3, the traffic incident is determined to occur in the tunnel; otherwise, judging whether the number of the traffic event information of the vehicles in the first and the second peripheral areas, which is manually triggered and reported by the passengers in the vehicles, is greater than a threshold th4, if so, judging that a traffic event occurs in the tunnel, and if not, judging that no traffic event occurs in the tunnel.
The logic of the above judgment is: according to the method and the device, higher credibility is given to the reported information of vehicles with relatively better visual fields, such as medium-sized vehicles or large-sized vehicles.
1) And when judging whether more medium and large vehicles are distributed in the first peripheral area and the second peripheral area of the core area of the traffic incident place, if so, indicating that the occurrence conclusion of the traffic incident is detected by the medium and large vehicles with higher reliability, and directly judging that the traffic incident information is reliable. 2) If the medium-large vehicles are not sufficiently distributed in the first peripheral area and the second peripheral area, the data of the small vehicles are used, but the small vehicles are easily blocked, so that the detection conclusion is unreliable, therefore, the method directly judges whether the first peripheral area of the core area of the traffic incident place has a sufficient number of small vehicles, and if so, the traffic incident information is judged to be reliable. However, there is a situation that there may not be enough vehicles in the first peripheral area due to the uneven distribution of the vehicles in the tunnel, or there is an insufficient number of vehicles with intelligent detection and communication capability in the first peripheral area, so the traffic event information reported manually is used instead, because the traffic event information seen by human eyes is basically reliable.
Wherein, the range size of the first peripheral area and the second peripheral area can be set as a fixed value according to an empirical value; it is also possible to set based on the tunnel length, i.e.: the longer the tunnel, the larger the first and second peripheral areas, and the larger the second peripheral area is than the first peripheral area.
Optionally, before executing the step S3, the method further includes:
and S20, judging whether the quantity of the traffic event information is larger than a threshold value, if so, executing a step S3, otherwise, judging that no traffic event occurs in the tunnel.
If only a small number of vehicles detect a traffic event, the authenticity of the occurrence of the traffic event is also unreliable, so it must be ensured that signals of traffic events occurring within the tunnel sent by more than a threshold number of vehicles are received before a secondary decision is made.
Optionally, the receiving end is an RSU provided near the tunnel entrance, or a vehicle equipped with a vehicle end located near the tunnel entrance.
The receiving end in the application can be an RSU and an OBU. The OBU is intended to be an OBU of a vehicle located near the tunnel entrance, such a vehicle is about to enter the tunnel, and since it has not yet entered the tunnel, it is still available based on the communication capabilities of the mobile operator, so that it is used as a receiving end to ensure that information of traffic events occurring within the tunnel is transmitted in time to, for example, a traffic management center or other vehicles.
Example 2
Referring to fig. 2, fig. 2 is a schematic structural diagram of a tunnel traffic event detection system according to an embodiment of the present application. As shown in fig. 2, a second aspect of the present application provides a tunnel traffic event detection system, which corresponds to the method according to the first embodiment;
the system comprises a vehicle end and a receiving end;
the vehicle end is equipped with a vehicle and used for detecting the occurrence of traffic events in the tunnel;
the receiving end is arranged outside the tunnel and used for receiving traffic incident information reported by the vehicle ends of a plurality of vehicles in the tunnel and judging whether a traffic incident occurs in the tunnel or not based on the traffic incident information and the respective corresponding vehicle types.
Example 3
Referring to fig. 3, fig. 3 is a schematic structural diagram of an electronic device according to an embodiment of the present disclosure. As shown in fig. 3, a third aspect of the present application provides an electronic device, where the electronic device is disposed at a receiving end, and the electronic device includes:
a memory storing executable program code;
a processor coupled with the memory;
the processor calls the executable program code stored in the memory to execute the following method steps:
receiving traffic event information reported by the vehicle ends of a plurality of vehicles in the tunnel; and judging whether a traffic incident occurs in the tunnel or not based on the information of the traffic incidents and the types of the vehicles corresponding to the information of the traffic incidents.
Example 4
The embodiment provides a computer storage medium, which is disposed at a receiving end, and the storage medium stores computer instructions, and when the computer instructions are called, the computer instructions are used to execute the following method steps:
receiving traffic event information reported by the vehicle ends of a plurality of vehicles in the tunnel; and judging whether a traffic incident occurs in the tunnel or not based on the information of the traffic incidents and the types of the vehicles corresponding to the information of the traffic incidents.
The above description is only for the specific embodiments of the present application, but the scope of the present application is not limited thereto, and any changes or substitutions that can be easily conceived by those skilled in the art within the technical scope of the present application should be covered within the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.
Claims (8)
1. A tunnel traffic incident detection method is characterized in that: the method comprises the following steps:
s1, detecting the occurrence of the traffic incident by the vehicle in the tunnel through the equipped vehicle end;
s2, a receiving end outside the tunnel receives traffic event information reported by the vehicle ends of a plurality of vehicles in the tunnel, wherein the traffic event information comprises traffic event occurrence codes, vehicle types, vehicle IDs and positions of the vehicles in the tunnel;
s3, the receiving end judges whether a traffic incident happens in the tunnel based on the information of the traffic incidents and the corresponding vehicle types, and the method comprises the following steps:
the receiving end draws a vehicle distribution map which uploads the traffic event information based on the vehicle types and the positions which correspond to the vehicle types and the positions in the traffic event information respectively, the vehicle types are marked in the vehicle distribution map, if the vehicle distribution conditions in the vehicle distribution map meet preset conditions, the traffic event is judged to occur in the tunnel, and if not, the traffic event is judged not to occur in the tunnel;
wherein, judge whether the distribution condition of vehicle satisfies the preset condition, include:
1) when the occupation ratio of medium-sized vehicles and large-sized vehicles in the first and second peripheral areas of the traffic incident place is greater than a threshold th2, judging that a traffic incident occurs in the tunnel;
2) when the occupation ratio of medium-sized vehicles to large-sized vehicles in the first and second peripheral areas of the traffic incident place is not more than the threshold th2, if the number of the medium-sized vehicles in the first peripheral area of the traffic incident place is more than the threshold th3, the traffic incident is determined to occur in the tunnel; otherwise, judging whether the number of the traffic event information of the vehicles in the first and the second peripheral areas, which is manually triggered and reported by the passengers in the vehicles, is greater than a threshold th4, if so, judging that a traffic event occurs in the tunnel, and if not, judging that no traffic event occurs in the tunnel;
the second peripheral region is larger than the first peripheral region.
2. The method of claim 1, wherein: the traffic event information also includes a number of times the traffic event information was relayed.
3. The method of claim 2, wherein: and determining the position of the vehicle in the tunnel based on the relayed times of the traffic event information.
4. The method of claim 1, wherein: before executing the step S3, the method further includes:
and S20, judging whether the quantity of the traffic event information is larger than a threshold value, if so, executing a step S3, otherwise, judging that no traffic event occurs in the tunnel.
5. The method of claim 1, wherein: the receiving end is an RSU arranged near the entrance of the tunnel or a vehicle equipped with a vehicle end and positioned near the entrance of the tunnel.
6. A tunnel traffic event detection system, characterized by: the system comprises a vehicle end and a receiving end;
the vehicle end is equipped with a vehicle and used for detecting the occurrence of traffic events in the tunnel;
the receiving end is arranged outside the tunnel and is used for receiving traffic event information reported by the vehicle ends of a plurality of vehicles in the tunnel, wherein the traffic event information comprises a traffic event occurrence code, a vehicle type, a vehicle ID and a position of the vehicle in the tunnel;
and judging whether a traffic incident occurs in the tunnel or not based on the information of the traffic incidents and the types of the vehicles corresponding to the information of the traffic incidents, wherein the judging step comprises the following steps:
the receiving end draws a vehicle distribution map which uploads the traffic event information based on the vehicle types and the positions which correspond to the vehicle types and the positions in the traffic event information respectively, the vehicle types are marked in the vehicle distribution map, if the vehicle distribution conditions in the vehicle distribution map meet preset conditions, the traffic event is judged to occur in the tunnel, and if not, the traffic event is judged not to occur in the tunnel;
wherein, judge whether the distribution condition of vehicle satisfies the preset condition, include:
1) when the occupation ratio of medium-sized vehicles and large-sized vehicles in the first and second peripheral areas of the traffic incident place is greater than a threshold th2, judging that a traffic incident occurs in the tunnel;
2) when the occupation ratio of medium-sized vehicles to large-sized vehicles in the first and second peripheral areas of the traffic incident place is not more than the threshold th2, if the number of the medium-sized vehicles in the first peripheral area of the traffic incident place is more than the threshold th3, the traffic incident is determined to occur in the tunnel; otherwise, judging whether the number of the traffic event information of the vehicles in the first and the second peripheral areas, which is manually triggered and reported by the passengers in the vehicles, is greater than a threshold th4, if so, judging that a traffic event occurs in the tunnel, and if not, judging that no traffic event occurs in the tunnel;
the second peripheral region is larger than the first peripheral region.
7. An electronic device is arranged at a receiving end, and is characterized in that: the apparatus comprises:
a memory storing executable program code;
a processor coupled with the memory;
the processor calls the executable program code stored in the memory to execute the following method steps:
receiving traffic event information reported by vehicle ends of a plurality of vehicles in a tunnel, wherein the traffic event information comprises a traffic event occurrence code, a vehicle type, a vehicle ID and a position of the vehicle in the tunnel; judging whether a traffic incident occurs in the tunnel or not based on the information of the traffic incidents and the types of the vehicles corresponding to the information of the traffic incidents, wherein the judging step comprises the following steps:
the receiving end draws a vehicle distribution map which uploads the traffic event information based on the vehicle types and the positions which correspond to the vehicle types and the positions in the traffic event information respectively, the vehicle types are marked in the vehicle distribution map, if the vehicle distribution conditions in the vehicle distribution map meet preset conditions, the traffic event is judged to occur in the tunnel, and if not, the traffic event is judged not to occur in the tunnel;
wherein, judge whether the distribution condition of vehicle satisfies the preset condition, include:
1) when the occupation ratio of medium-sized vehicles and large-sized vehicles in the first and second peripheral areas of the traffic incident place is greater than a threshold th2, judging that a traffic incident occurs in the tunnel;
2) when the occupation ratio of medium-sized vehicles to large-sized vehicles in the first and second peripheral areas of the traffic incident place is not more than the threshold th2, if the number of the medium-sized vehicles in the first peripheral area of the traffic incident place is more than the threshold th3, the traffic incident is determined to occur in the tunnel; otherwise, judging whether the number of the traffic event information of the vehicles in the first and the second peripheral areas, which is manually triggered and reported by the passengers in the vehicles, is greater than a threshold th4, if so, judging that a traffic event occurs in the tunnel, and if not, judging that no traffic event occurs in the tunnel;
the second peripheral region is larger than the first peripheral region.
8. A computer storage medium, the computer storage medium being disposed at a receiving end, the computer storage medium comprising: the storage medium stores computer instructions which, when invoked, perform the method steps of:
receiving traffic event information reported by vehicle ends of a plurality of vehicles in a tunnel, wherein the traffic event information comprises a traffic event occurrence code, a vehicle type, a vehicle ID and a position of the vehicle in the tunnel; judging whether a traffic incident occurs in the tunnel or not based on the information of the traffic incidents and the types of the vehicles corresponding to the information of the traffic incidents, wherein the judging step comprises the following steps:
the receiving end draws a vehicle distribution map which uploads the traffic event information based on the vehicle types and the positions which correspond to the vehicle types and the positions in the traffic event information respectively, the vehicle types are marked in the vehicle distribution map, if the vehicle distribution conditions in the vehicle distribution map meet preset conditions, the traffic event is judged to occur in the tunnel, and if not, the traffic event is judged not to occur in the tunnel;
wherein, judge whether the distribution condition of vehicle satisfies the preset condition, include:
1) when the occupation ratio of medium-sized vehicles and large-sized vehicles in the first and second peripheral areas of the traffic incident place is greater than a threshold th2, judging that a traffic incident occurs in the tunnel;
2) when the occupation ratio of medium-sized vehicles to large-sized vehicles in the first and second peripheral areas of the traffic incident place is not more than the threshold th2, if the number of the medium-sized vehicles in the first peripheral area of the traffic incident place is more than the threshold th3, the traffic incident is determined to occur in the tunnel; otherwise, judging whether the number of the traffic event information of the vehicles in the first and the second peripheral areas, which is manually triggered and reported by the passengers in the vehicles, is greater than a threshold th4, if so, judging that a traffic event occurs in the tunnel, and if not, judging that no traffic event occurs in the tunnel;
the second peripheral region is larger than the first peripheral region.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110052129.7A CN112885084B (en) | 2021-01-15 | 2021-01-15 | Tunnel traffic incident detection method and system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110052129.7A CN112885084B (en) | 2021-01-15 | 2021-01-15 | Tunnel traffic incident detection method and system |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN112885084A CN112885084A (en) | 2021-06-01 |
| CN112885084B true CN112885084B (en) | 2022-02-18 |
Family
ID=76049603
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202110052129.7A Active CN112885084B (en) | 2021-01-15 | 2021-01-15 | Tunnel traffic incident detection method and system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN112885084B (en) |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103754219A (en) * | 2014-02-21 | 2014-04-30 | 重庆邮电大学 | Automatic parking system of information fusion of multiple sensors |
| CN107042824A (en) * | 2015-10-23 | 2017-08-15 | 哈曼国际工业有限公司 | System and method for detecting the accident in vehicle |
| CN107481521A (en) * | 2017-08-31 | 2017-12-15 | 福州车媒通网络科技有限公司 | The traffic events intelligence means of proof and system based on car networking |
| CN108922244A (en) * | 2018-06-22 | 2018-11-30 | 泉州创先力智能科技有限公司 | A kind of reminding method, device, equipment and the storage medium of exception road conditions |
| CN109974734A (en) * | 2019-04-02 | 2019-07-05 | 百度在线网络技术（北京）有限公司 | A kind of event report method, device, terminal and storage medium for AR navigation |
Family Cites Families (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US8508353B2 (en) * | 2009-01-26 | 2013-08-13 | Drivecam, Inc. | Driver risk assessment system and method having calibrating automatic event scoring |
| CN107972664A (en) * | 2016-10-25 | 2018-05-01 | 阿尔派株式会社 | Drive assistance device and driving assistance method |
| JP2020502718A (en) * | 2016-12-19 | 2020-01-23 | スルグリーン・エルエルシー | Connected adaptive vehicle traffic management system with digital prioritization |
| KR20190033159A (en) * | 2017-09-21 | 2019-03-29 | 주식회사 만도 | Method and Apparatus for controlling a anti-collision |
| US10974728B2 (en) * | 2018-09-11 | 2021-04-13 | Lightmetrics Technologies Pvt. Ltd. | Methods and systems for facilitating drive related data for driver monitoring |
| CN110341708B (en) * | 2019-08-21 | 2021-01-15 | 浙江吉利汽车研究院有限公司 | Automatic driving control method and system for blind area |
-
2021
- 2021-01-15 CN CN202110052129.7A patent/CN112885084B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103754219A (en) * | 2014-02-21 | 2014-04-30 | 重庆邮电大学 | Automatic parking system of information fusion of multiple sensors |
| CN107042824A (en) * | 2015-10-23 | 2017-08-15 | 哈曼国际工业有限公司 | System and method for detecting the accident in vehicle |
| CN107481521A (en) * | 2017-08-31 | 2017-12-15 | 福州车媒通网络科技有限公司 | The traffic events intelligence means of proof and system based on car networking |
| CN108922244A (en) * | 2018-06-22 | 2018-11-30 | 泉州创先力智能科技有限公司 | A kind of reminding method, device, equipment and the storage medium of exception road conditions |
| CN109974734A (en) * | 2019-04-02 | 2019-07-05 | 百度在线网络技术（北京）有限公司 | A kind of event report method, device, terminal and storage medium for AR navigation |
Also Published As
| Publication number | Publication date |
|---|---|
| CN112885084A (en) | 2021-06-01 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US8742987B2 (en) | Lean V2X security processing strategy using kinematics information of vehicles | |
| CN108027615B (en) | Method and device for operating a vehicle | |
| CN109830108B (en) | Method for processing illegal parking of vehicle | |
| US20180293446A1 (en) | Vehicle event detection and classification using contextual vehicle information | |
| CN110497904B (en) | Vehicle exterior information sharing system, device and method | |
| CN105632182A (en) | Vehicle violation behavior proof method and system thereof | |
| CN113688805B (en) | Unmanned aerial vehicle-based unlicensed muck vehicle identification method and system | |
| CN108107810B (en) | Control method, device and system for parking spot lock | |
| CN112071109B (en) | Automatic bus station reporting method and device in area without positioning signal | |
| EP3580939A1 (en) | System and method for managing waste services | |
| JP4010316B2 (en) | Illegal parking enforcement system and method | |
| US20120169516A1 (en) | Method and system for triggering commercial vehicle inspection | |
| US11594038B2 (en) | Information processing device, information processing system, and recording medium recording information processing program | |
| CN106982213A (en) | A kind of network attack defence method and relevant apparatus applied to mobile unit | |
| CN112885084B (en) | Tunnel traffic incident detection method and system | |
| KR102184644B1 (en) | System for collecting and transfering of vehicle information and method of the same | |
| CN116704748A (en) | Method for providing lane positioning for a motor vehicle in the region of an infrastructure device | |
| CN114205394B (en) | Self-adaptive data identification and storage method and system for Internet of vehicles terminal | |
| CN112785875B (en) | Information processing apparatus, information processing system and method, and recording medium | |
| JP2019185453A (en) | Accident information recorder and accident information collection server | |
| CN112907943B (en) | Tunnel traffic incident detection method and system based on signal intensity distribution | |
| WO2022157538A1 (en) | A method and system for determining a possible road safety violation | |
| JP4254517B2 (en) | Traffic notification system | |
| CN111726423B (en) | Car moving reminding method and system based on cloud service intelligent terminal | |
| CN107919019B (en) | Violation detection method and system based on RFID electronic tag and safety belt |
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 | ||
| CB03 | Change of inventor or designer information |
Inventor after: Qi Yong Inventor after: Jia Xiaoe Inventor before: Jia Xiaoe |
|
| CB03 | Change of inventor or designer information | ||
| TA01 | Transfer of patent application right |
Effective date of registration: 20220129 Address after: 210018 No.200 Xiaolingwei street, Xiaolingwei street, Xuanwu District, Nanjing City, Jiangsu Province Applicant after: NANJING University OF SCIENCE AND TECHNOLOGY Address before: 100089 1405-008, 14th floor, shining building, 35 Xueyuan Road, Haidian District, Beijing Applicant before: Telephase technology development (Beijing) Co.,Ltd. |
|
| TA01 | Transfer of patent application right | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |