CN117953696A

CN117953696A - Important road section monitoring equipment management method and device

Info

Publication number: CN117953696A
Application number: CN202311449967.3A
Authority: CN
Inventors: 请求不公布姓名
Original assignee: Ningbo Mingzhou Expressway Co ltd
Current assignee: Ningbo Mingzhou Expressway Co ltd
Priority date: 2023-11-02
Filing date: 2023-11-02
Publication date: 2024-04-30

Abstract

The invention is suitable for the intelligent traffic field, and provides a method and a device for managing monitoring equipment of an important road section.

Description

Important road section monitoring equipment management method and device

Technical Field

The invention belongs to the field of intelligent traffic, and particularly relates to a method and a device for managing important road section monitoring equipment.

Background

Tunnels are artificially constructed underground passages, which are generally used to solve problems in traffic, transportation, and communication, so that vehicles and pedestrians can pass under mountains, bodies of water, cities, or other obstacles, which helps to reduce traffic jams, shorten travel time, and improve traffic flow.

Because the coverage area of the monitoring equipment is limited, the monitoring of the whole road section in the tunnel cannot be realized, and because the cost for installing the monitoring equipment in the tunnel is high, the monitoring equipment is not installed in part of the tunnels. Therefore, when an accident occurs in the tunnel, the accident can not be timely found by road maintenance personnel, so that the congestion in the tunnel is caused, and even secondary accidents can be possibly caused. Therefore, it is important to find out the tunnel accident and give an alarm at the tunnel entrance.

In addition, important expressway sections generally include expressway down-ramps, sharp turns and other sections, which are similar to tunnel sections, and which need to be slowed down, so that accidents are easy to occur if vehicles change lanes and get high speed. The problems encountered in the scenes and the tunnels are the same, tracking is needed to be performed in advance according to driving behavior data of vehicles on the road surface, whether accidents occur on important road sections is judged in advance according to the driving lane changing conditions of the vehicles, and early warning is performed on the vehicles in advance. And monitoring equipment is installed at the important road section interval distance, so that the operation and maintenance cost is high.

Disclosure of Invention

Therefore, the application provides a method and a device for managing important road section monitoring equipment, which are used for solving the problems of finding an accident of an important road section in time and alarming on the important road section.

The first object of the present invention is achieved by:

The utility model provides a important road section supervisory equipment management method which characterized in that is applied to intelligent transportation system, intelligent transportation system includes the first supervisory equipment of deployment outside important road section, and the second supervisory equipment of deployment in important road section access & exit, the second supervisory equipment contains warning indicator light, the method includes:

Acquiring a plurality of vehicle running pictures shot by first monitoring equipment, determining the number of times of changing a running lane of a vehicle through the vehicle running pictures, and determining the vehicle with the number of times smaller than a threshold value as a target vehicle, wherein the vehicle running pictures comprise vehicle information and shooting time;

Acquiring an important road section entrance picture containing the target vehicle and shot by second monitoring equipment of the important road section entrance, and acquiring an important road section exit picture containing the target vehicle and shot by second monitoring equipment of the important road section exit;

and determining whether an accident occurs in the important road section through the important road section entrance picture of the target vehicle and the important road section exit picture of the target vehicle, and if so, sending an instruction to the second monitoring equipment to enable the second monitoring equipment to turn on an alarm indicator lamp.

Another object of the present invention is to provide an important road section monitoring device management apparatus, applied to an intelligent traffic system, the intelligent traffic system including a first monitoring device disposed outside an important road section, and a second monitoring device disposed at an entrance of the important road section, the second monitoring device including an alarm indicator light, the apparatus comprising:

A target vehicle unit is determined, and is used for acquiring vehicle running pictures shot by a plurality of first monitoring devices, determining the number of times of changing a running lane of a vehicle through the vehicle running pictures, and determining the vehicle with the number of times smaller than a threshold value as a target vehicle, wherein the vehicle running pictures comprise vehicle information and shooting time;

the image acquisition unit is used for acquiring an important road section entrance image containing the target vehicle and shot by the second monitoring equipment of the important road section entrance and acquiring an important road section exit image containing the target vehicle and shot by the second monitoring equipment of the important road section exit;

And the accident determining unit is used for determining whether an accident occurs in the important road section through the important road section entrance picture of the target vehicle and the important road section exit picture of the target vehicle, and if so, sending an instruction to the second monitoring equipment to enable the second monitoring equipment to turn on an alarm indicator lamp.

Optionally, the determining the number of times that the target vehicle unit changes the driving lane of the vehicle according to the vehicle driving picture includes:

N vehicle running pictures of the same vehicle are obtained through the vehicle information, and the vehicle running pictures are sequenced according to shooting time, wherein N is more than 1;

Dividing the sequenced N vehicle driving pictures into N-1 picture groups, wherein the picture groups comprise two adjacent vehicle driving pictures;

Judging whether the driving lanes of the vehicle in two vehicle driving pictures in the picture groups are consistent, and determining the number of inconsistent picture groups as the number of times that the vehicle changes the driving lanes.

Optionally, the determining, by the accident unit, whether an accident occurs in the important road section through the important road section entrance picture of the target vehicle and the important road section exit picture of the target vehicle includes:

determining a lane when the target vehicle enters the important road section through the important road section entrance picture of the target vehicle, determining a lane when the target vehicle exits the important road section through the important road section exit picture of the target vehicle, and determining that an accident occurs in the important road section when the lane when the target vehicle enters the important road section and the lane when the target vehicle exits the important road section are different; or alternatively, the first and second heat exchangers may be,

And when the difference value between the shooting time of the important road section entrance picture of the target vehicle and the shooting time of the important road section exit picture of the target vehicle exceeds a threshold value, determining that an accident occurs in the important road section.

Determining a lane when the target vehicle enters the important road section through an important road section entrance picture of the target vehicle, determining a lane when the target vehicle exits the important road section through an important road section exit picture of the target vehicle, and marking the target vehicle when the lane when the target vehicle enters the important road section and the lane when the target vehicle exits the important road section are different;

And when the number of marked target vehicles in the preset time period exceeds a threshold value, determining that an accident occurs in the important road section.

Optionally, the vehicle information includes a license plate number of the vehicle, and the apparatus further includes:

The comparison unit is used for cutting the unrecognizable license plate number into single character pictures when the license plate number unrecognizable license plate number exists in the important road section entrance pictures shot by the second monitoring equipment, comparing the single character pictures with the single character pictures cut by the license plate number of the target vehicle, and determining the similarity value of the single character pictures;

Constructing an initial matrix through the single character picture cut by the single character picture, the single character picture cut by the license plate number of the target vehicle and the similarity value, traversing the initial matrix by adopting a dynamic programming algorithm, determining the license plate number similarity value of the unrecognizable license plate number and the license plate number of the target vehicle, and determining the vehicle which cannot recognize the license plate number as the target vehicle when the license plate number similarity value exceeds a set threshold value.

According to the scheme, for important road sections without monitoring equipment, including a ramp port at a lower high speed, an entrance and an exit of a service area, a tunnel and a sharp turning road section, a target vehicle with fewer variable passes can be determined through the monitoring equipment of the important road sections such as the road sections outside the tunnel, and then pictures of the target vehicle entering and exiting the important road sections are shot through the monitoring equipment deployed at the entrance and exit of the important road sections, so that whether accidents occur in the important road sections, such as a tunnel, and an alarm prompt is sent at the entrance of the important road sections are judged.

And when the license plate number of the vehicle cannot be identified in the pictures shot by the monitoring equipment of the important road section, such as the tunnel entrance, and whether the vehicle is the target vehicle cannot be judged, the target vehicle can be determined by a license plate number similarity comparison method, so that the problem that the target vehicle cannot be determined due to the fact that the license plate number cannot be identified due to poor light caused by raining and fog is avoided, and the tunnel accident judgment is affected.

Drawings

The accompanying drawings, which are included to provide a further understanding of the disclosure and are incorporated in and constitute a part of this specification, illustrate exemplary embodiments of the disclosure and together with the description serve to explain the principles of the disclosure.

FIG. 1 is a flowchart of a method for managing tunnel portal monitoring equipment provided by an embodiment of the application;

fig. 2 is a block diagram of an apparatus according to an embodiment of the present application.

Detailed Description

The present invention will be described in further detail with reference to the drawings and examples, in order to make the objects, technical solutions and advantages of the present invention more apparent. It should be understood that the detailed description and specific examples, while indicating the invention, are intended for purposes of illustration only and are not intended to limit the invention,

In addition, embodiments of the present disclosure and features of the embodiments may be combined with each other without conflict. The present disclosure will be described in detail below with reference to the accompanying drawings in conjunction with embodiments.

Specific implementations of the invention are described in detail below in connection with specific embodiments.

The present embodiment describes a tunnel as an important road section scene.

As shown in fig. 1, a flowchart of a tunnel portal monitoring device management method provided by an embodiment of the present invention is applied to an intelligent traffic system, where the intelligent traffic system includes a first monitoring device disposed outside a tunnel and a second monitoring device disposed at an entrance of the tunnel, where the second monitoring device includes an alarm indicator, and the flowchart may include the following steps:

Step S101, acquiring vehicle running pictures shot by a plurality of first monitoring devices, determining the number of times of changing a running lane of a vehicle through the vehicle running pictures, and determining the vehicle with the number of times smaller than a threshold value as a target vehicle.

In this embodiment, in order to obtain the lane change data of the vehicle, the vehicle running picture includes vehicle information and shooting time, and the first monitoring device may be a camera disposed on a high-speed gate, a toll gate entrance, a toll gate exit, and a portal, where the camera monitors a fixed area on a road. For roads with less traffic, the camera can take a snapshot when the vehicle passes through a fixed area monitored by the camera, so that the vehicle running picture is generated. For the area with larger traffic flow, the camera can take the images of the monitored fixed area at fixed time intervals, so that the vehicle running picture is generated.

In another embodiment, the determination of the target vehicle may also be performed by acquiring the safe driving history data of the important road section entrance and exit, so as to acquire the vehicle with less lane change in the important road section and the driving speed meeting the speed limit standard, thereby determining that the driver of the target vehicle is a safe driver, and determining that the driver is the target vehicle.

In this embodiment, the number of times that the vehicle changes the driving lane may be determined by the number of times that the vehicle is pressed, and when the vehicle in the driving picture of the vehicle covers the lane line, or when the middle area of the vehicle covers the lane line, the vehicle may be estimated to change the lane.

In another embodiment, the determining the number of times the vehicle changes lanes by the vehicle driving picture includes:

For example, it is assumed that the road has three lanes, i.e., left, middle and right lanes, and that the vehicle running picture taken by the first monitoring device includes 8 vehicle running pictures having a license plate number "Zhe 1234". The 8 vehicle driving pictures are ordered according to shooting time, and are grouped according to [ picture 1, picture 2 ], picture 2, picture 3 ], picture 3 and picture 4 ] … … after the ordering, so that 7 picture groups are obtained. And judging whether the driving lanes of the two vehicle driving pictures in each picture group are the same with the license plate number of ZheZE 1234, and determining that the vehicle changes the driving lanes from the shooting time of FIG. 1 to the shooting time of FIG. 2 when FIG. 1 is a left lane and FIG. 2 is a middle lane.

In another embodiment of obtaining the lane change data of the vehicle, the determination of the target vehicle may also be obtained through the safe driving history data of the important road section gateway, including the camera set on the gateway, to obtain the vehicle with less lane change and driving speed meeting the speed limit standard in the important road section, so as to determine that the driver of the target vehicle is a safe driver, thereby determining the target vehicle.

Step S102, obtaining a tunnel entrance picture containing the target vehicle, which is shot by second monitoring equipment of the tunnel entrance, and obtaining a tunnel exit picture containing the target vehicle, which is shot by second monitoring equipment of the tunnel exit.

In this embodiment, the second monitoring device disposed at the tunnel entrance monitors the fixed area of the tunnel entrance. The monitoring equipment can take a candid photograph when the vehicle passes through the monitored fixed area, and the intelligent traffic system judges whether the candid photograph picture contains the target vehicle or not through the vehicle information in the candid photograph picture so as to obtain a tunnel entrance picture and a tunnel exit picture containing the target vehicle. For areas with large traffic flow, the monitoring device can also snapshot the monitored fixed areas at fixed time intervals.

Step S103, determining whether an accident occurs in the tunnel through the tunnel entrance picture of the target vehicle and the tunnel exit picture of the target vehicle, and if so, sending an instruction to the second monitoring equipment to enable the second monitoring equipment to turn on an alarm indicator lamp.

In this embodiment, before sending an instruction to the second monitoring device, the intelligent traffic system may also notify road maintenance personnel near the tunnel to check and determine, and after the road maintenance personnel determines that an accident occurs in the tunnel and feeds back the accident to the intelligent traffic system, the intelligent traffic system sends an instruction to the second monitoring device to turn on the alarm indicator lamp.

In another embodiment, the determining whether an accident occurs in the tunnel through the tunnel entrance picture of the target vehicle and the tunnel exit picture of the target vehicle includes:

Determining a lane when the target vehicle enters a tunnel through a tunnel entrance picture of the target vehicle, determining a lane when the target vehicle exits the tunnel through a tunnel exit picture of the target vehicle, and determining that an accident occurs in the tunnel when the lane when the target vehicle enters the tunnel and the lane when the target vehicle exits the tunnel are different; or alternatively, the first and second heat exchangers may be,

And when the difference value between the shooting time of the tunnel entrance picture of the target vehicle and the shooting time of the tunnel exit picture of the target vehicle exceeds a threshold value, determining that an accident occurs in the tunnel.

In this embodiment, the difference between the time taken by the tunnel entrance picture of the target vehicle and the time taken by the tunnel exit picture of the target vehicle is the time for the target vehicle to pass through the tunnel, and the time for the vehicle to pass through may be estimated according to the tunnel length, and the threshold may be set on the basis of the estimated time. For example, when the tunnel length is 5 KM, calculated as the vehicle running speed is 60KM/H, and the time for passing through the tunnel is expected to be 5/60H, that is, 5 minutes, the threshold may be set to 10 minutes or 20 minutes or 30 minutes, and when the time for a plurality of target vehicles to exit the tunnel exceeds the threshold, that is, is far longer than the expected time, it may be determined that an accident has occurred in the tunnel.

Determining a lane when the target vehicle enters a tunnel through a tunnel entrance picture of the target vehicle, determining a lane when the target vehicle exits the tunnel through a tunnel exit picture of the target vehicle, and marking the target vehicle when the lane when the target vehicle enters the tunnel and the lane when the target vehicle exits the tunnel are different;

And when the number of marked target vehicles in the preset time period exceeds a threshold value, determining that an accident occurs in the tunnel.

In this embodiment, the preset time period and the threshold number of vehicles may be set according to the traffic flow, when the traffic flow is large, the target vehicles are more, the preset time period may be reduced, the threshold number of vehicles is increased, and when an accident occurs in the tunnel, the threshold number of vehicles may be determined in a shorter time. When the traffic flow is small, resulting in fewer target vehicles, the preset time period may be increased, and the number of vehicles may be reduced, so as to avoid the occurrence of the situation that the number of target vehicles in the preset time period is too small, and even if the accident occurs in the tunnel, the target vehicles in the preset time period change lanes, the accident is determined not to occur.

In another embodiment, the vehicle information includes a license plate number of the vehicle, the method further comprising:

When the tunnel entrance and exit picture shot by the second monitoring equipment has an unrecognizable license plate number, cutting the unrecognizable license plate number into a single character picture, and comparing the single character picture with the single character picture cut by the license plate number of the target vehicle to determine a single character picture similarity value;

For example, taking the license plate number of the target vehicle as Zhe 58U0 as an example, the second monitoring device cannot determine the letters E and 8 due to weather, and when initially identifying the letters E and 6, the unrecognizable license plate number Zhe 56U0 is divided into 7 single character pictures, and the Zhe "" Z "" F ""5""6"" U ""0 "is compared with the single character pictures cut by the license plate numbers of the respective target vehicles. For example, the target vehicle includes Zhe ZF48U0 in addition to Zhe ZE58U 0. The single character picture segmented by the Zhe ZF56U0 is compared with the similarity of the single character picture, and the comparison methods are numerous, such as a mean-average hash algorithm, a perceptual hash algorithm, a mean square error, a structural similarity algorithm and the like. Taking the structural similarity algorithm as an example, the initial matrix established by the comparison result of ZheZF 56U0 and ZheZE 58U0 is as follows:

	Zhejiang type	Z	F	5	6	U	0
								Zhejiang type	1.00	0.19	0.15	0.17	0.17	0.22	0.19
Z	0.19	1.00	0.31	0.26	0.25	0.54	0.13
								E	0.15	0.31	0.66	0.26	0.29	0.29	0.22
5	0.17	0.26	0.26	1.00	0.06	0.29	0.38
								8	0.17	0.25	0.29	0.06	0.22	0.34	0.12
U	0.22	0.54	0.29	0.29	0.34	1.00	0.12
								0	0.19	0.13	0.22	0.38	0.12	0.12	1.00

And then a dynamic programming algorithm is adopted, traversing is carried out from left to right and from top to bottom, and a path with the maximum similarity is searched:

	Zhejiang type	Z	F	5	6	U	0
								Zhejiang type	1.000000	0.595000	0.446667	0.377500	0.336000	0.316667	0.298571
Z	0.595000	1.000000	0.770000	0.642500	0.564000	0.560000	0.498571
								E	0.443333	0.773333	0.886667	0.730000	0.642000	0.583333	0.531429
5	0.375000	0.645000	0.722500	0.915000	0.744000	0.668333	0.627143
								8	0.338000	0.592000	0.644000	0.798000	0.776000	0.703333	0.620000
U	0.318333	0.583333	0.580000	0.713333	0.693333	0.813333	0.714286
								0	0.300000	0.518571	0.544286	0.665714	0.620000	0.714286	0.840000

As can be seen, the number plate similarity values for ZheZF 56U0 and ZheZE 58U0 are 0.84. When the set threshold value is less than 0.84, the vehicle whose license plate number is preliminarily identified as Zhezf 56U0 is determined as the target vehicle.

Thus, the flow shown in fig. 1 is completed.

In the embodiment of the application, the intelligent traffic system determines the target vehicle with less variable number of passes through the monitoring equipment on the section outside the tunnel, and then the monitoring equipment arranged at the tunnel portal shoots the picture of the target vehicle when the target vehicle enters and exits the tunnel, so as to judge whether an accident occurs in the tunnel and send out an alarm prompt at the tunnel portal, thereby solving the problem that secondary accidents are easy to occur because the accident cannot be found and alarmed in time when the accident occurs in the tunnel without the monitoring equipment.

As shown in fig. 2, the embodiment of the present invention further provides a tunnel portal monitoring device management apparatus, which is applied to an intelligent traffic system, where the intelligent traffic system includes a first monitoring device disposed outside a tunnel, and a second monitoring device disposed at an entrance of the tunnel, where the second monitoring device includes an alarm indicator, and the apparatus includes:

A determining target vehicle unit 201, configured to obtain vehicle running pictures taken by a plurality of first monitoring devices, determine a number of times that a vehicle changes a running lane according to the vehicle running pictures, and determine a vehicle with the number of times being less than a threshold value as a target vehicle, where the vehicle running pictures include vehicle information and a shooting time;

An acquiring picture unit 202, configured to acquire a tunnel entrance picture including the target vehicle, which is taken by a second monitoring device of the tunnel entrance, and acquire a tunnel exit picture including the target vehicle, which is taken by a second monitoring device of the tunnel exit;

And the accident determining unit 203 is configured to determine whether an accident occurs in the tunnel according to the tunnel entrance picture of the target vehicle and the tunnel exit picture of the target vehicle, and if so, send an instruction to the first monitoring device, so that the first monitoring device turns on the alarm indicator.

Optionally, the determining, by the accident unit, whether an accident occurs in the tunnel through the tunnel entrance picture of the target vehicle and the tunnel exit picture of the target vehicle includes:

A comparison unit 204, configured to cut the unrecognizable license plate number into a single character picture when the tunnel entrance and exit picture shot by the second monitoring device has an unrecognizable license plate number, and compare the single character picture with the single character picture cut by the license plate number of the target vehicle to determine a similarity value of the single character picture;

The embodiment of the invention provides a tunnel portal monitoring equipment management method and a tunnel portal monitoring equipment management device based on the tunnel portal monitoring equipment management method, and by the method and the device, tunnel accidents can be timely found and alarming can be carried out at the tunnel portal, so that traffic accidents are reduced.

The embodiment also discloses a computer device, which comprises a processor and a memory, wherein at least one instruction is stored in the memory, and the at least one instruction is loaded and executed by the processor to realize the tunnel portal monitoring device management method.

In addition, in the embodiment of the tunnel portal monitoring device management apparatus of the above example, the logic division of each program module is merely illustrative, and in practical application, the above function allocation may be performed by different program modules according to needs, for example, in view of configuration requirements of corresponding hardware or convenience of implementation of software, that is, the internal structure of the tunnel portal monitoring device management apparatus is divided into different program modules to perform all or part of the functions described above.

Another embodiment of the present invention is a method for managing a monitoring device for an important road segment, where the important road segment includes a ramp port at a lower high speed, an entrance/exit of a service area, a tunnel, and a sharp-turn road segment.

The important road section monitoring equipment management method is applied to an intelligent traffic system, the intelligent traffic system comprises first monitoring equipment deployed outside an important road section and second monitoring equipment deployed at an entrance and an exit of the important road section, the second monitoring equipment comprises an alarm indicator lamp, and the method comprises the following steps:

The determining the number of times that the vehicle changes the driving lane through the vehicle driving picture comprises the following steps: n vehicle running pictures of the same vehicle are obtained through the vehicle information, and the vehicle running pictures are sequenced according to shooting time, wherein N is more than 1; dividing the sequenced N vehicle driving pictures into N-1 picture groups, wherein the picture groups comprise two adjacent vehicle driving pictures; judging whether the driving lanes of the vehicle in two vehicle driving pictures in the picture groups are consistent, and determining the number of inconsistent picture groups as the number of times that the vehicle changes the driving lanes.

The other method processes are the same as the tunnel portal monitoring equipment management method.

In the description of the present specification, reference to the terms "one embodiment/manner," "some embodiments/manner," "example," "a particular example," "some examples," etc., means that a particular feature, structure, material, or characteristic described in connection with the embodiment/manner or example is included in at least one embodiment/manner or example of the application. In this specification, the schematic representations of the above terms are not necessarily for the same embodiment/manner or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments/modes or examples. Furthermore, the various embodiments/modes or examples described in this specification and the features of the various embodiments/modes or examples can be combined and combined by persons skilled in the art without contradiction.

Furthermore, the terms "first," "second," and the like, are used for descriptive purposes only and are not to be construed as indicating or implying a relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defining "a first" or "a second" may explicitly or implicitly include at least one such feature. In the description of the present application, the meaning of "plurality" means at least two, for example, two, three, etc., unless specifically defined otherwise.

It will be appreciated by those skilled in the art that the above embodiments are merely for clarity of illustration of the present disclosure, and are not intended to limit the scope of the present disclosure. Other variations or modifications will be apparent to persons skilled in the art from the foregoing disclosure, and such variations or modifications are intended to be within the scope of the present disclosure.

Claims

1. The utility model provides a important road section supervisory equipment management method which characterized in that is applied to intelligent transportation system, intelligent transportation system includes the first supervisory equipment of deployment outside important road section, and the second supervisory equipment of deployment in important road section access & exit, the second supervisory equipment contains warning indicator light, the method includes:

2. The method of claim 1, wherein the important road segments comprise a low-speed ramp mouth, an entrance of a service area, a tunnel, and a sharp turn road segment.

3. The method of claim 1, wherein the determining the number of times the vehicle changed lanes of travel from the vehicle travel picture comprises:

4. The method of claim 1, wherein the determining whether an accident occurs within the important road segment through the important road segment inlet picture of the target vehicle and the important road segment outlet picture of the target vehicle comprises:

5. The method of claim 1, wherein the determining whether an accident occurs in the important road segment through the important road segment picture of the target vehicle and the important road segment exit picture of the target vehicle comprises:

6. The method of claim 1, wherein the vehicle information includes a license plate number of a vehicle, the method further comprising:

7. An important road section supervisory equipment management device, characterized in that is applied to intelligent transportation system, intelligent transportation system includes the first supervisory equipment of deployment outside important road section, and deploys in important road section access & exit's second supervisory equipment, the second supervisory equipment contains the warning pilot lamp, the device includes:

8. The apparatus of claim 7, wherein the determining the number of times the target vehicle unit determines that the vehicle changed lanes of travel from the vehicle travel picture comprises:

9. The apparatus of claim 7, wherein the determining whether an accident occurs in the important road segment by the accident unit through the important road segment entry picture of the target vehicle and the important road segment exit picture of the target vehicle comprises:

10. The apparatus of claim 7, wherein the determining whether an accident occurs in the important road segment by the accident unit through the important road segment entry picture of the target vehicle and the important road segment exit picture of the target vehicle comprises:

11. The apparatus of claim 7, wherein the vehicle information includes a license plate number of a vehicle, the apparatus further comprising: