CN111028507B - Traffic jam cause determining method and device - Google Patents
Traffic jam cause determining method and device Download PDFInfo
- Publication number
- CN111028507B CN111028507B CN201911296280.4A CN201911296280A CN111028507B CN 111028507 B CN111028507 B CN 111028507B CN 201911296280 A CN201911296280 A CN 201911296280A CN 111028507 B CN111028507 B CN 111028507B
- Authority
- CN
- China
- Prior art keywords
- traffic
- information
- determining
- cause
- road section
- 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
- G08G1/0125—Traffic data processing
Abstract
The application discloses a method and a device for determining a traffic jam cause, wherein the method for determining the traffic jam cause comprises the following steps: in response to receiving a traffic congestion event, determining a congestion road segment associated with the traffic congestion event; acquiring first image information of a congested road section; acquiring first traffic reporting information associated with a congested road section; and determining the cause of the traffic jam event according to the first traffic reported information and the first image information. According to the embodiment of the application, the first traffic reported information associated with the congested road section is combined with the first image information acquired by the congested road section, so that the generation reason of the traffic congestion event can be determined more quickly and accurately.
Description
Technical Field
The present application relates to the field of data processing technologies, and in particular, to a method and an apparatus for determining a cause of traffic congestion.
Background
Under the condition that urban traffic is under greater and greater pressure, the traffic jam condition is more serious. There are many possible causes of traffic congestion, such as congestion caused by a traffic accident, congestion caused by a signal lamp failure, congestion caused by violation of vehicle driving behaviors, and the like. Under the condition of a plurality of causes of traffic jam, the cause of the traffic jam is difficult to be quickly identified, so that a timely and effective regulation strategy cannot be provided for the cause, and the traffic jam condition is expanded.
Disclosure of Invention
The embodiment of the application provides a method and a device for determining a cause of traffic congestion, so as to solve one or more technical problems in the prior art.
In a first aspect, an embodiment of the present application provides a method for determining a cause of traffic congestion, including:
in response to receiving a traffic congestion event, determining a congestion road segment associated with the traffic congestion event;
acquiring first image information of a congested road section;
acquiring first traffic reporting information associated with a congested road section;
and determining the cause of the traffic jam event according to the first traffic reported information and the first image information.
According to the embodiment, the first traffic reported information related to the congested road section is combined with the first image information acquired from the congested road section, so that the cause of the traffic congestion event can be determined more quickly and accurately.
In one embodiment, the first traffic reporting information includes user reporting information and/or alarm reporting information.
According to the embodiment, the generation reason of the traffic jam event can be judged more accurately by utilizing the user reported information associated with the jammed road section and the alarm reported information reported by the authorities.
In one embodiment, the traffic congestion cause determination further comprises:
determining a junction road section of the congested road section;
acquiring second image information corresponding to the intersection section;
and acquiring second traffic reporting information associated with the intersection section.
According to the embodiment, the second image information and the second traffic reported information of the intersection road section connected with the congested road section are acquired, so that the generation reason of the traffic congestion event of the congested road section can be judged in an auxiliary manner.
In one embodiment, determining the cause of the traffic congestion event according to the first traffic report information and the first image information includes:
and determining the cause of the traffic jam event according to the first traffic reported information, the second traffic reported information, the first image information and the second image information.
According to the embodiment, the generation reason of the traffic jam event can be judged more quickly and accurately by utilizing the first traffic reported information and the first image information of the jammed road section and the second traffic reported information and the second image information of the intersection road section.
In one embodiment, the second traffic reporting information at least includes user reporting information and alarm reporting information.
According to the embodiment, the generation reason of the traffic jam event can be judged more accurately by using the user reported information and the police reported information which are reported by the authorities and are associated with the intersection section.
In one embodiment, the traffic congestion cause determination further comprises:
generating avoidance driving information according to the cause of the traffic jam event;
and sending the avoidance driving information to a mobile terminal in a first preset range and/or a traffic information broadcasting terminal on a road in a second preset range.
According to the embodiment, the avoidance driving information is generated based on the cause of the traffic jam event and is sent to the terminal, so that other vehicles which will pass through the jammed road section can be avoided in advance, and the occurrence of secondary jam of the jammed road section is avoided.
In a second aspect, an embodiment of the present application provides a traffic congestion cause determining apparatus, including:
the traffic congestion control system comprises a first determination module, a second determination module and a third determination module, wherein the first determination module is used for responding to a received traffic congestion event and determining a congestion road section related to the traffic congestion event;
the first acquisition module is used for acquiring first image information of a congested road section;
the second acquisition module is used for acquiring first traffic reporting information associated with the congested road section;
and the second determining module is used for determining the cause of the traffic jam event according to the first traffic reported information and the first image information.
In one embodiment, the traffic congestion cause determining apparatus further includes:
the third determining module is used for determining the intersection section of the congested section;
the third acquisition module is used for acquiring second image information of the intersection section;
and the fourth acquisition module is used for acquiring second traffic reporting information associated with the intersection section.
In one embodiment, the second determining module comprises:
and the determining submodule is used for determining the cause of the traffic jam event according to the first traffic reported information, the second traffic reported information, the first image information and the second image information.
In one embodiment, the traffic congestion cause determining apparatus further includes:
the information generation module is used for generating avoidance driving information according to the cause of the traffic jam event;
and the sending module is used for sending the avoidance driving information to the mobile terminal in the first preset range and/or the traffic information broadcasting terminal on the road in the second preset range.
In a third aspect, an embodiment of the present application provides an electronic device, where functions of the electronic device may be implemented by hardware, or may be implemented by hardware executing corresponding software. The hardware or software includes one or more modules corresponding to the above-described functions.
In one possible design, the electronic device includes a processor and a memory, the memory is used for storing a program for supporting the electronic device to execute the above-mentioned traffic congestion cause determination method, and the processor is configured to execute the program stored in the memory. The electronic device may also include a communication interface for communicating with other devices or a communication network.
In a fourth aspect, embodiments of the present application provide a non-transitory computer-readable storage medium storing computer instructions for storing an electronic device and computer software instructions for the electronic device, which includes a program for executing the above-mentioned traffic congestion cause determination method.
One embodiment in the above application has the following advantages or benefits: according to the embodiment of the application, the first traffic reported information associated with the congested road section is combined with the first image information acquired by the congested road section, so that the generation reason of the traffic congestion event can be determined more quickly and accurately. According to the method and the device, the technical means of judging the congestion cause is adopted by combining the first traffic reported information associated with the congested road section and the first image information acquired by the congested road section, so that the technical problem that the cause of the traffic congestion cannot be found out quickly and accurately is solved, and the technical effect of quickly and accurately determining the cause of the traffic congestion event is achieved.
Other effects of the above-described alternative will be described below with reference to specific embodiments.
Drawings
The drawings are included to provide a better understanding of the present solution and are not intended to limit the present application. Wherein:
FIG. 1 is a schematic diagram according to a first embodiment of the present application;
FIG. 2 is a schematic diagram according to a first embodiment of the present application;
FIG. 3 is a schematic diagram according to a first embodiment of the present application;
FIG. 4 is a schematic illustration according to a second embodiment of the present application;
FIG. 5 is a schematic illustration according to a second embodiment of the present application;
FIG. 6 is a schematic diagram according to a second embodiment of the present application;
fig. 7 is a block diagram of an electronic device for implementing a traffic congestion cause determination method according to an embodiment of the present application.
Detailed Description
The following description of the exemplary embodiments of the present application, taken in conjunction with the accompanying drawings, includes various details of the embodiments of the application for the understanding of the same, which are to be considered exemplary only. Accordingly, those of ordinary skill in the art will recognize that various changes and modifications of the embodiments described herein can be made without departing from the scope and spirit of the present application. Also, descriptions of well-known functions and constructions are omitted in the following description for clarity and conciseness.
According to a first embodiment of the present application, there is provided a traffic congestion cause determining method, as shown in fig. 1, the method including:
s100: in response to receiving a traffic congestion event, a congested road segment associated with the traffic congestion event is determined.
The position of the traffic jam event can be determined according to the picture collected by the image collecting device in the road, the floating car technology of the road testing device or the vehicle-mounted navigation system.
The congested road segment may include a segment of a road that is currently experiencing traffic congestion. The coordinate sequence of the congested road segment (the coordinate sequence may indicate the length of the congested road segment) may be determined according to a preset rule. For example, the coordinate series of the congested link is confirmed based on indexes such as the current congestion level of each position on the road, the vehicle speed of the vehicle at each position on the road, and the traffic flow rate at each position on the road.
S200: first image information of a congested road section is acquired.
The first image information can be acquired by using acquisition equipment corresponding to the congested road section. The acquisition device may comprise an image acquisition device fixedly arranged at a road or intersection. Movable floating cars located in congested road sections may also be included. The acquisition equipment corresponding to the congested road section may include each acquisition equipment located in the congested road section, or may include acquisition equipment located near the congested road section and capable of acquiring an image of the congested road section.
S300: and acquiring first traffic reporting information associated with the congested road section.
The first traffic reporting information may include information reported to the traffic service platform by a driver, a passenger, or a traffic department. The information reported by the traffic department can be traffic information reported by traffic police, traffic assistant or floating car, and also can be distributable traffic information confirmed by the official of the traffic department.
In one example, the first traffic reporting information includes user (e.g., driver, passenger, pedestrian, etc.) reporting information and/or alert reporting information. The alarm reporting information can be traffic information issued by a traffic department. Preferably, the first traffic reporting information includes user reporting information and alarm reporting information. The cause of the traffic jam event can be more accurately judged by using the reported information of different sources. And mutual verification of credibility of each reported information can be carried out.
It should be noted that the first traffic reporting information may be information data in multiple formats, such as voice, text, or pictures.
S400: and determining the cause of the traffic jam event according to the first traffic reported information and the first image information.
Causes of traffic jam events may include damage to traffic road equipment, occurrence of a traffic accident at a particular location, violation of driving by vehicles, and even unreasonable traffic light control strategies.
According to the embodiment, the first traffic reported information associated with the congested road section is combined with the first image information acquired from the congested road section, so that the generation reason of the traffic congestion event can be determined more quickly and accurately.
In one example, the determined cause of the traffic congestion event may include a direct cause or may include an indirect cause.
For example, when a vehicle collision occurs at the position of the intersection and a large-area traffic jam occurs on the road corresponding to the intersection based on the first image information, and a vehicle collision occurs at the position of the intersection and a vehicle rear-end collision occurs on the road corresponding to the intersection based on the first traffic reported information, it can be determined through comprehensive analysis that a congested road section occurs due to the vehicle collision occurring at the intersection directly and a congested road section occurs due to the vehicle rear-end collision occurring in the road indirectly.
For another example, when a vehicle collision occurs in a congested road section and a large-area traffic jam occurs at an intersection position based on the first image information, a vehicle collision occurs in a right-turn lane of the congested road section and a jam occurs in a straight lane based on the first traffic reported information, it can be determined through comprehensive analysis that the direct cause of the traffic jam event is the vehicle collision occurring in the right-turn lane, and the indirect cause is that the signal period of a traffic signal lamp is too long, so that the traffic flow which can pass through a signal period is small when the vehicle collision occurs, and the congestion also occurs in the straight lane.
In one example, determining that a traffic congestion event has occurred includes:
the actual time of each vehicle passing through the target road section and the ideal time of the vehicle passing through the target road section under the condition of no vehicle congestion are obtained.
And determining the vehicle delay time of the target road section according to the average value of the difference value between the actual time and the ideal time of each vehicle passing through the target road section.
And when the delay time of the vehicles exceeds the time threshold value when the target road section normally runs, judging that the traffic jam event occurs on the target road section.
In one example, determining that a traffic congestion event has occurred further comprises:
and acquiring the average speed of each vehicle passing through the target road section.
And when the average speed is lower than the average speed threshold value when the target road section normally runs, judging that the traffic jam event occurs on the target road section.
In one example, determining a sequence of coordinates for a congested road segment includes:
and acquiring the average driving speed of vehicles on each road section in the road.
And determining the congestion level of each road section in the road according to the average driving speed of the vehicles. The congestion level may be divided into five levels based on the average vehicle travel speed. The traffic jam detection method comprises the following steps of 0-2, 2-4, 4-6, 6-8 and 8-10, wherein the five levels of 'unblocked', 'basically unblocked', 'light jam', 'medium jam' and 'severe jam' are respectively corresponded, and the higher the numerical value is, the more serious the traffic jam condition is, the slower the vehicle average speed is.
0-2, unblocked: the traffic running condition is good, and basically no road jam exists.
2-4, basically unblocked: the traffic running condition is better, and a small amount of road congestion exists.
4-6, light congestion: the traffic running condition is poor, and partial loop and the trunk road are congested.
And screening the road sections with higher congestion levels to form the congested road sections. The congestion road section comprises coordinate sequence information and length information.
In one embodiment, as shown in fig. 2, the traffic congestion cause determination further comprises:
s500: and determining the intersection section of the congested section.
The junction segment may include an upstream segment and a downstream segment connected to the congested segment. The intersection section can also comprise sections corresponding to other intersections connected with the intersection of the congestion section.
S600: and acquiring second image information of the intersection section.
The second image information may be acquired by using an acquisition device corresponding to the intersection section. The acquisition device may comprise an image acquisition device fixedly arranged at a road or intersection. Movable floating cars located in congested road sections may also be included.
The acquisition equipment corresponding to the intersection section may include each acquisition equipment located in the intersection section, and may also include acquisition equipment located near the intersection section and capable of acquiring an image of the intersection section.
S700: and acquiring second traffic reported information associated with the intersection section.
The second traffic reporting information may include information reported to the traffic service platform by a driver, a passenger, or a traffic department. The information reported by the traffic department can be traffic information reported by traffic police, traffic assistant or floating car, and also can be distributable traffic information officially confirmed by the traffic department.
In one example, the second traffic reporting information includes user (e.g., driver, passenger, pedestrian, etc.) reporting information and/or alert reporting information. The alarm reporting information can be traffic information issued by a traffic department. Preferably, the second traffic reporting information includes user reporting information and alarm reporting information. The cause of the traffic jam event can be more accurately judged by using the reported information of different sources. And mutual verification of credibility of each reported information can be carried out.
It should be noted that the second traffic reporting information may be information data in multiple formats, such as voice, text, or pictures.
Under the condition that the vehicle congestion occurs on the congested road section, other road sections connected with the congested road section are likely to be influenced by the vehicle congestion, so that the generation reason of the traffic congestion event of the congested road section can be judged in an auxiliary manner by acquiring the second image information and the second traffic reported information of the intersection road section connected with the congested road section.
In one embodiment, as shown in fig. 2, determining the cause of the traffic congestion event according to the first traffic report information and the first image information includes:
s410: and determining the cause of the traffic jam event according to the first traffic reported information, the second traffic reported information, the first image information and the second image information.
According to the embodiment, the generation reason of the traffic jam event can be judged more quickly and accurately by utilizing the first traffic reported information and the first image information of the jammed road section and the second traffic reported information and the second image information of the intersection road section.
In one embodiment, as shown in fig. 3, the traffic congestion cause determination further comprises:
s800: and generating avoidance driving information according to the cause of the traffic jam event.
The avoidance driving information can be information data in various formats such as voice, characters or pictures. The avoidance driving information is mainly used for prompting vehicles to detour through the congested road section. The content of the avoidance traveling information can be adjusted as needed. For example, the content of the avoidance travel information may include information such as a name of a congested link, a cause of a traffic congestion event occurring in the congested link, and a recommended avoidance travel route.
S900: and sending the avoidance driving information to a mobile terminal in a first preset range and/or a traffic information broadcasting terminal on a road in a second preset range.
The first preset range and the second preset range may be determined as needed. The mobile terminal may include an electronic device having a navigation function, such as a mobile phone and a car machine. The traffic information broadcasting terminal on the road may include a display screen provided on the road.
According to the embodiment, the avoidance driving information is generated based on the cause of the traffic jam event and is sent to the terminal, so that other vehicles which will pass through the jammed road section can be avoided in advance, and the occurrence of secondary jam of the jammed road section is avoided.
According to a second embodiment of the present application, there is provided a traffic congestion cause determination device 100, as shown in fig. 4, including:
the first determining module 10 is configured to determine a congestion road segment associated with a traffic congestion event in response to receiving the traffic congestion event.
The first obtaining module 20 is configured to obtain first image information of a congested road segment.
The second obtaining module 30 is configured to obtain first traffic reporting information associated with the congested road segment.
And the second determining module 40 is configured to determine a cause of the traffic congestion event according to the first traffic reporting information and the first image information.
In one embodiment, as shown in fig. 5, the traffic congestion cause determining apparatus further includes:
and a third determining module 50, configured to determine a junction section of the congested section.
And a third obtaining module 60, configured to obtain second image information of the junction road segment.
A fourth obtaining module 70, configured to obtain second traffic reporting information associated with the intersection section.
In one embodiment, as shown in fig. 5, the second determining module 40 includes:
the determining submodule 41 is configured to determine a cause of the traffic congestion event according to the first traffic report information, the second traffic report information, the first image information, and the second image information.
In one embodiment, as shown in fig. 6, the traffic congestion cause determining apparatus further includes:
and the information generating module 80 is configured to generate avoidance driving information according to the cause of the traffic congestion event.
The sending module 90 is configured to send the avoidance driving information to the mobile terminal in the first preset range and/or the traffic information broadcast terminal on the road in the second preset range.
The functions of each module in each apparatus in the embodiments of the present invention may refer to the corresponding description in the above method, and are not described herein again.
According to an embodiment of the present application, an electronic device and a readable storage medium are also provided.
Fig. 7 is a block diagram of an electronic device according to the method for determining a traffic congestion cause according to the embodiment of the present application. Electronic devices are intended to represent various forms of digital computers, such as laptops, desktops, workstations, personal digital assistants, servers, blade servers, mainframes, and other appropriate computers. The electronic device may also represent various forms of mobile devices, such as personal digital processing, cellular phones, smart phones, wearable devices, and other similar computing devices. The components shown herein, their connections and relationships, and their functions, are meant to be examples only, and are not meant to limit implementations of the present application that are described and/or claimed herein.
As shown in fig. 7, the electronic apparatus includes: one or more processors 901, memory 902, and interfaces for connecting the various components, including a high-speed interface and a low-speed interface. The various components are interconnected using different buses and may be mounted on a common motherboard or in other manners as desired. The processor may process instructions for execution within the electronic device, including instructions stored in or on the memory to display Graphical information for a Graphical User Interface (GUI) on an external input/output device, such as a display device coupled to the Interface. In other embodiments, multiple processors and/or multiple buses may be used, along with multiple memories and multiple memories, as desired. Also, multiple electronic devices may be connected, with each device providing portions of the necessary operations (e.g., as a server array, a group of blade servers, or a multi-processor system). Fig. 7 illustrates an example of a processor 901.
The memory 902, which is a non-transitory computer readable storage medium, may be used to store non-transitory software programs, non-transitory computer executable programs, and modules, such as program instructions/modules corresponding to the method for determining a cause of traffic congestion in the embodiment of the present application (for example, the first determining module 10, the first acquiring module 20, the second acquiring module 30, and the second determining module 40 shown in fig. 5). The processor 901 executes various functional applications of the server and data processing, namely, a method for determining a cause of traffic congestion in the above method embodiments, by executing non-transitory software programs, instructions and modules stored in the memory 902.
The memory 902 may include a program storage area and a data storage area, wherein the program storage area may store an operating system, an application program required for at least one function; the storage data area may store data created from use of the electronic device determined according to the traffic congestion cause, and the like. Further, the memory 902 may include high speed random access memory, and may also include non-transitory memory, such as at least one magnetic disk storage device, flash memory device, or other non-transitory solid state storage device. In some embodiments, memory 902 may optionally include memory located remotely from processor 901, which may be connected to the traffic congestion cause determining electronic device via a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
The electronic device of the method of traffic congestion cause determination may further include: an input device 903 and an output device 904. The processor 901, the memory 902, the input device 903 and the output device 904 may be connected by a bus or other means, and fig. 7 illustrates an example of a connection by a bus.
The input device 903 may receive input numeric or character information and generate key signal inputs related to user settings and function controls of the electronic device determined by the cause of the traffic congestion, such as a touch screen, keypad, mouse, track pad, touch pad, pointer stick, one or more mouse buttons, track ball, joystick, or other input device. The output devices 904 may include a display device, auxiliary lighting devices (e.g., LEDs), tactile feedback devices (e.g., vibrating motors), and the like. The display device may include, but is not limited to, a Liquid Crystal Display (LCD) such as a Liquid crystal Cr9 star display 9, a Light Emitting Diode (LED) display, and a plasma display. In some implementations, the display device can be a touch screen.
Various implementations of the systems and techniques described here can be realized in digital electronic circuitry, Integrated circuitry, Application Specific Integrated Circuits (ASICs), computer hardware, firmware, software, and/or combinations thereof. These various embodiments may include: implemented in one or more computer programs that are executable and/or interpretable on a programmable system including at least one programmable processor, which may be special or general purpose, receiving data and instructions from, and transmitting data and instructions to, a storage system, at least one input device, and at least one output device.
These computer programs (also known as programs, software applications, or code) include machine instructions for a programmable processor, and may be implemented using high-level procedural and/or object-oriented programming languages, and/or assembly/machine languages. As used herein, the terms "machine-readable medium" and "computer-readable medium" refer to any computer program product, apparatus, and/or device (e.g., magnetic discs, optical disks, memory, Programmable Logic Devices (PLDs)) used to provide machine instructions and/or data to a programmable processor, including a machine-readable medium that receives machine instructions as a machine-readable signal. The term "machine-readable signal" refers to any signal used to provide machine instructions and/or data to a programmable processor.
To provide for interaction with a user, the systems and techniques described here can be implemented on a computer having: a display device (e.g., a CRT (Cathode Ray Tube) or LCD (liquid crystal display) monitor) for displaying information to a user; and a keyboard and a pointing device (e.g., a mouse or a trackball) by which a user can provide input to the computer. Other kinds of devices may also be used to provide for interaction with a user; for example, feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form, including acoustic, speech, or tactile input.
The systems and techniques described here can be implemented in a computing system that includes a back-end component (e.g., as a data server), or that includes a middleware component (e.g., an application server), or that includes a front-end component (e.g., a user computer having a graphical user interface or a web browser through which a user can interact with an implementation of the systems and techniques described here), or any combination of such back-end, middleware, or front-end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: local Area Networks (LANs), Wide Area Networks (WANs), and the internet.
The computer system may include clients and servers. A client and server are generally remote from each other and typically interact through a communication network. The relationship of client and server arises by virtue of computer programs running on the respective computers and having a client-server relationship to each other.
According to the technical scheme of the embodiment of the application, the first traffic reported information associated with the congested road section is combined with the first image information acquired by the acquisition equipment in the congested road section, so that the generation reason of the traffic congestion event can be determined more quickly and accurately. According to the method and the device, the technical means of judging congestion cause is adopted by combining the first traffic reported information associated with the congested road section and the first image information acquired by the acquisition equipment in the congested road section, so that the technical problem that the cause of traffic congestion cannot be found out quickly and accurately is solved, and the technical effect of quickly and accurately determining the cause of the traffic congestion event is achieved.
It should be understood that various forms of the flows shown above may be used, with steps reordered, added, or deleted. For example, the steps described in the present application may be executed in parallel, sequentially, or in different orders, and the present invention is not limited thereto as long as the desired results of the technical solutions disclosed in the present application can be achieved.
The above-described embodiments should not be construed as limiting the scope of the present application. It should be understood by those skilled in the art that various modifications, combinations, sub-combinations and substitutions may be made in accordance with design requirements and other factors. Any modification, equivalent replacement, and improvement made within the spirit and principle of the present application shall be included in the protection scope of the present application.
Claims (8)
1. A method for determining a cause of traffic congestion, comprising:
in response to receiving a traffic congestion event, determining a congestion road segment associated with the traffic congestion event;
acquiring first image information of the congested road section;
acquiring first traffic reporting information associated with the congested road section;
further comprising:
determining a junction road section of the congested road section;
acquiring second image information of the intersection section;
acquiring second traffic reporting information associated with the intersection section;
and determining causes of the traffic jam events according to the first traffic reported information, the second traffic reported information, the first image information and the second image information, wherein the causes comprise direct causes and indirect causes.
2. The method of claim 1, wherein the first traffic reporting information comprises user reporting information and/or alarm reporting information.
3. The method of claim 1, wherein the second traffic reporting information comprises at least user reporting information and alarm reporting information.
4. The method of claim 1, further comprising:
generating avoidance driving information according to the cause of the traffic jam event;
and sending the avoidance driving information to a mobile terminal in a first preset range and/or a traffic information broadcasting terminal on a road in a second preset range.
5. A traffic congestion cause determining apparatus, comprising:
the device comprises a first determination module, a second determination module and a third determination module, wherein the first determination module is used for responding to a received traffic jam event and determining a jam road section related to the traffic jam event;
the first acquisition module is used for acquiring first image information of the congested road section;
the second acquisition module is used for acquiring first traffic reporting information associated with the congested road section;
further comprising:
the third determining module is used for determining the intersection section of the congested section;
the third acquisition module is used for acquiring second image information of the junction road section;
the fourth acquisition module is used for acquiring second traffic reporting information associated with the intersection section;
and the second determining module comprises a determining submodule and is used for determining the cause of the traffic jam event according to the first traffic reported information, the second traffic reported information, the first image information and the second image information, wherein the cause comprises a direct cause and an indirect cause.
6. The apparatus of claim 5, further comprising:
the information generation module is used for generating avoidance running information according to the cause of the traffic jam event;
and the sending module is used for sending the avoidance driving information to the mobile terminal in the first preset range and/or the traffic information broadcasting terminal on the road in the second preset range.
7. An electronic device, comprising:
at least one processor; and
a memory communicatively coupled to the at least one processor; wherein the content of the first and second substances,
the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the method of any one of claims 1-4.
8. A non-transitory computer readable storage medium having stored thereon computer instructions for causing the computer to perform the method of any one of claims 1-4.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911296280.4A CN111028507B (en) | 2019-12-16 | 2019-12-16 | Traffic jam cause determining method and device |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911296280.4A CN111028507B (en) | 2019-12-16 | 2019-12-16 | Traffic jam cause determining method and device |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN111028507A CN111028507A (en) | 2020-04-17 |
| CN111028507B true CN111028507B (en) | 2022-05-13 |
Family
ID=70211018
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201911296280.4A Active CN111028507B (en) | 2019-12-16 | 2019-12-16 | Traffic jam cause determining method and device |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN111028507B (en) |
Families Citing this family (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112150666A (en) * | 2020-08-28 | 2020-12-29 | 汉海信息技术(上海)有限公司 | Method, device, electronic equipment and storage medium for determining road congestion reason |
| CN112836626B (en) * | 2021-01-29 | 2023-10-27 | 北京百度网讯科技有限公司 | Accident determining method and device, model training method and device and electronic equipment |
| CN113256978A (en) * | 2021-05-17 | 2021-08-13 | 东南大学 | Method and system for diagnosing urban congestion area and storage medium |
| CN113538915B (en) * | 2021-07-21 | 2023-02-28 | 阿波罗智联(北京)科技有限公司 | Method, device, storage medium and program product for processing traffic jam event |
| CN113689704A (en) * | 2021-09-08 | 2021-11-23 | 安徽泽峰物联科技有限公司 | Live system of car networking road based on radio communication |
| CN114596704B (en) * | 2022-03-14 | 2023-06-20 | 阿波罗智联(北京)科技有限公司 | Traffic event processing method, device, equipment and storage medium |
| CN114999161B (en) * | 2022-07-29 | 2022-10-28 | 河北博士林科技开发有限公司 | Be used for intelligent traffic jam edge management system |
| CN115512546A (en) * | 2022-10-08 | 2022-12-23 | 河南博汇智能科技有限公司 | Intelligent high-speed traffic flow active management method and device and electronic equipment |
Citations (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102903237A (en) * | 2011-07-25 | 2013-01-30 | 日立(中国)研究开发有限公司 | Device and method for traffic management service |
| CN103700250A (en) * | 2012-09-28 | 2014-04-02 | 姜廷顺 | Public security traffic emergency rapid-handling method and system |
| CN104732780A (en) * | 2015-03-10 | 2015-06-24 | 惠州Tcl移动通信有限公司 | Method and system for updating road condition information timely according to road condition reported by user |
| CN105070049A (en) * | 2015-09-01 | 2015-11-18 | 刘莎 | Traffic jam identifying and road condition sharing excitation system based on mobile Internet |
| CN105788256A (en) * | 2016-03-30 | 2016-07-20 | 北京交通大学 | Road condition information sensing method based on Internet of vehicles |
| CN106469512A (en) * | 2015-08-17 | 2017-03-01 | 中国移动通信集团公司 | A kind of vehicle accident message issuance method and server |
| CN106781495A (en) * | 2017-01-04 | 2017-05-31 | 安徽科力信息产业有限责任公司 | It is quick to find to cause the method and system of urban road traffic congestion source position |
| CN106781471A (en) * | 2016-12-15 | 2017-05-31 | 北京小米移动软件有限公司 | Traffic determines method and device |
| CN106991818A (en) * | 2017-05-23 | 2017-07-28 | 安徽科力信息产业有限责任公司 | A kind of effective method, storage medium and system for alleviating urban traffic blocking |
| CN107134135A (en) * | 2017-01-23 | 2017-09-05 | 北京博研智通科技有限公司 | A kind of method and system for alleviating highway congestion level |
| CN107742418A (en) * | 2017-09-29 | 2018-02-27 | 东南大学 | A kind of urban expressway traffic congestion status and stifled point position automatic identifying method |
| CN110473396A (en) * | 2019-06-27 | 2019-11-19 | 安徽科力信息产业有限责任公司 | Traffic congestion data analysis method, device, electronic equipment and storage medium |
Family Cites Families (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US8099113B2 (en) * | 2008-01-08 | 2012-01-17 | Global Alert Network, Inc. | Passive traffic alert and communication system |
| CN103927868B (en) * | 2014-04-24 | 2016-03-09 | 北京易华录信息技术股份有限公司 | A kind ofly can find the method and system causing area traffic jamming reason |
| CN109035778B (en) * | 2018-08-29 | 2021-11-30 | 深圳市赛为智能股份有限公司 | Congestion cause analysis method and device, computer equipment and storage medium |
| CN110349406A (en) * | 2019-06-27 | 2019-10-18 | 安徽科力信息产业有限责任公司 | A kind of congestion source origin cause of formation detection method and system |
| CN110491122B (en) * | 2019-07-29 | 2021-03-30 | 安徽科力信息产业有限责任公司 | Method and device for reducing urban congestion ranking |
-
2019
- 2019-12-16 CN CN201911296280.4A patent/CN111028507B/en active Active
Patent Citations (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102903237A (en) * | 2011-07-25 | 2013-01-30 | 日立(中国)研究开发有限公司 | Device and method for traffic management service |
| CN103700250A (en) * | 2012-09-28 | 2014-04-02 | 姜廷顺 | Public security traffic emergency rapid-handling method and system |
| CN104732780A (en) * | 2015-03-10 | 2015-06-24 | 惠州Tcl移动通信有限公司 | Method and system for updating road condition information timely according to road condition reported by user |
| CN106469512A (en) * | 2015-08-17 | 2017-03-01 | 中国移动通信集团公司 | A kind of vehicle accident message issuance method and server |
| CN105070049A (en) * | 2015-09-01 | 2015-11-18 | 刘莎 | Traffic jam identifying and road condition sharing excitation system based on mobile Internet |
| CN105788256A (en) * | 2016-03-30 | 2016-07-20 | 北京交通大学 | Road condition information sensing method based on Internet of vehicles |
| CN106781471A (en) * | 2016-12-15 | 2017-05-31 | 北京小米移动软件有限公司 | Traffic determines method and device |
| CN106781495A (en) * | 2017-01-04 | 2017-05-31 | 安徽科力信息产业有限责任公司 | It is quick to find to cause the method and system of urban road traffic congestion source position |
| CN107134135A (en) * | 2017-01-23 | 2017-09-05 | 北京博研智通科技有限公司 | A kind of method and system for alleviating highway congestion level |
| CN106991818A (en) * | 2017-05-23 | 2017-07-28 | 安徽科力信息产业有限责任公司 | A kind of effective method, storage medium and system for alleviating urban traffic blocking |
| CN107742418A (en) * | 2017-09-29 | 2018-02-27 | 东南大学 | A kind of urban expressway traffic congestion status and stifled point position automatic identifying method |
| CN110473396A (en) * | 2019-06-27 | 2019-11-19 | 安徽科力信息产业有限责任公司 | Traffic congestion data analysis method, device, electronic equipment and storage medium |
Also Published As
| Publication number | Publication date |
|---|---|
| CN111028507A (en) | 2020-04-17 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN111028507B (en) | Traffic jam cause determining method and device | |
| US11105640B1 (en) | Using train telematics data to reduce accident risk | |
| CN111739344B (en) | Early warning method and device and electronic equipment | |
| EP3933345A2 (en) | Road event detection method, apparatus, device and storage medium | |
| CN112634611B (en) | Method, device, equipment and storage medium for identifying road conditions | |
| US20190042857A1 (en) | Information processing system and information processing method | |
| US10475340B2 (en) | Traffic hindrance risk indication apparatus | |
| US20170219356A1 (en) | Warning notification system, warning notification method, and computer readable medium | |
| US20170016737A1 (en) | Driving assistance system, method, and program for a vehicle | |
| US11003925B2 (en) | Event prediction system, event prediction method, program, and recording medium having same recorded therein | |
| JP7214702B2 (en) | Method for detecting length of train, apparatus for detecting length of train, electronic device, storage medium and computer program | |
| US10460185B2 (en) | Roadside image tracking system | |
| CN112035587A (en) | Method, device, equipment and medium for verifying cross rule based on track data | |
| CN111681428B (en) | Overflow detection method and device, electronic equipment and storage medium | |
| CN106662455B (en) | Warning notification system and warning notification method | |
| CN111653114A (en) | Information reminding method and device, electronic equipment and storage medium | |
| CN111540010B (en) | Road monitoring method and device, electronic equipment and storage medium | |
| CN113345242A (en) | Method, device and equipment for detecting plugged vehicle | |
| CN114333312A (en) | Road traffic environment information display method and device and electronic equipment | |
| CN114582125B (en) | Method, device, equipment and storage medium for identifying road traffic direction | |
| CN112213117B (en) | Vehicle testing method, device, equipment and storage medium | |
| CN111563046B (en) | Method and device for generating information | |
| CN115009292A (en) | Risk prompting method and device for automatic driving vehicle and automatic driving vehicle | |
| CN112801494A (en) | Method, apparatus, device, medium and program product for detecting traffic accidents | |
| CN111724615A (en) | Method, apparatus, device and storage medium for controlling vehicle |
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 | ||
| TA01 | Transfer of patent application right |
Effective date of registration: 20211013 Address after: 100176 Room 101, 1st floor, building 1, yard 7, Ruihe West 2nd Road, economic and Technological Development Zone, Daxing District, Beijing Applicant after: Apollo Zhilian (Beijing) Technology Co.,Ltd. Address before: 2 / F, baidu building, 10 Shangdi 10th Street, Haidian District, Beijing 100085 Applicant before: BEIJING BAIDU NETCOM SCIENCE AND TECHNOLOGY Co.,Ltd. |
|
| TA01 | Transfer of patent application right | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |