JP2024056108A - Emergency traffic control decision support system and program, road management method - Google Patents

Abstract

[Problem] In the past, roads were patrolled to see actual road conditions and to determine whether emergency traffic restrictions should be implemented in abnormal weather such as heavy rain. However, making a decision based on visual patrols takes time and effort, making it difficult to respond quickly. [Solution] An emergency traffic restriction decision support system, program, and road management method, comprising an information acquisition unit that acquires information including some or all of information on road surface conditions, traffic conditions, road space conditions, weather conditions, and vehicle driving conditions, an analysis unit that analyzes the road surface conditions, traffic conditions, road space conditions, weather conditions, and vehicle driving conditions obtained from the information acquired by the information acquisition unit, and a decision unit that decides on emergency traffic restrictions based on the results of the analysis by the analysis unit, and the decision unit decides on emergency traffic restrictions. [Selected Figure] Figure 1

Description

The present invention relates to an emergency traffic regulation decision support system, program, and road management method for managing roads during abnormal weather such as heavy rain.

In order to preserve road structures and prevent traffic hazards, road administrators will designate sections of roads and prohibit or restrict traffic if the road is deemed dangerous due to damage, etc. Furthermore, in the event of abnormal weather such as heavy rain or when there is a risk of disaster due to a typhoon, emergency traffic restrictions (road closures, omitted below) will be implemented on expressways, main roads, mountainous roads, etc.

JP 2017-20809 A

Previously, roads were patrolled, actual road conditions were observed, and decisions as to whether or not to impose emergency traffic restrictions in unusual weather such as heavy rain were made. However, making decisions based on visual patrols was time-consuming and labor-intensive, making it difficult to respond quickly.

The above problems can be solved by the invention having the following configuration.
[1] An emergency traffic regulation judgment support system comprising an information acquisition unit that acquires information including some or all of information regarding road surface conditions, information regarding traffic conditions, information regarding road space conditions, information regarding weather conditions, and information regarding vehicle driving conditions; an analysis unit that analyzes the road surface conditions, traffic conditions, road space conditions, weather conditions, and vehicle driving conditions obtained from the information acquired by the information acquisition unit; and a decision unit that determines whether to impose emergency traffic regulations based on the results of the analysis by the analysis unit, wherein the decision unit determines the emergency traffic regulations.
[2] A program for causing a computer to function as the emergency traffic regulation decision support system described in [1].
[3] A road management method using a computer, characterized in that the computer acquires information including some or all of information regarding road surface conditions, traffic conditions, road space conditions, weather conditions, and vehicle driving conditions via a network, analyzes the road surface conditions, traffic conditions, road space conditions, weather conditions, and vehicle driving conditions obtained from the acquired information, and makes a decision on emergency traffic restrictions based on the results of the analysis.

The present invention allows for rapid decision-making regarding emergency traffic restrictions during abnormal weather such as heavy rain.

1 is a system configuration diagram of an emergency traffic regulation judgment support system according to the present invention. FIG. 11 is a flow chart illustrating an example of a flow of a patrol. FIG. 11 is a flow chart illustrating an example of a flow of a fixed camera. FIG. 2 is a diagram showing an example of a road surface condition. FIG. 1 is a diagram illustrating an example of a traffic situation. FIG. 1 is a diagram showing an example of a road space situation. FIG. 1 is a diagram illustrating an example of weather conditions. FIG. 2 is a diagram illustrating an example of a vehicle driving situation. 1 is a flowchart showing an example of the flow of an emergency traffic regulation judgment support system of the present invention. FIG. 13 is a diagram showing an example of a determination criterion in a decision unit of the present invention. 1 is a diagram illustrating an example of a hardware configuration of an emergency traffic regulation judgment support system according to the present invention.

Below, one embodiment of the emergency traffic regulation decision support system of the present invention will be described with reference to the drawings. Note that the present embodiment described below does not unduly limit the contents of the present disclosure described in the claims. Furthermore, not all of the configurations described in this embodiment are necessarily essential components of the present disclosure. In addition, each individual configuration that makes up the group of features can also be an invention.

1 is a system configuration diagram of an emergency traffic regulation judgment support system 600 of the present invention. The emergency traffic regulation judgment support system 600 includes an information acquisition unit 610 that acquires information on road surface conditions, traffic conditions, road space conditions, weather conditions, and vehicle driving conditions, an analysis unit 620 that analyzes the road surface conditions, traffic conditions, road space conditions, weather conditions, and vehicle driving conditions obtained from the information acquired by the information acquisition unit 610, and a decision unit 630 that decides on emergency traffic regulations based on the results of the analysis by the analysis unit 620.
The emergency traffic regulation judgment support system 600 of the embodiment is communicatively connected to a road surface condition providing server 100, a traffic condition providing server 200, a road space condition providing server 300, a weather condition providing server 400, and a vehicle driving condition providing server 500 via a network NW.
Although FIG. 1 shows only one vehicle Vh and one terminal device TM for grasping road surface conditions, a plurality of vehicles Vh and terminal devices TM may be connected to the network NW.
Although only one fixed camera CAM is shown in FIG. 1 to grasp the road space situation, multiple fixed cameras CAM may be connected to the network NW.

The terminal device TM, the fixed camera CAM, the road surface condition providing server 100, the traffic condition providing server 200, the road space condition providing server 300, the weather condition providing server 400, the vehicle travel condition providing server 500, and the emergency traffic regulation judgment support system 600 communicate with each other via a network NW. The network NW includes, for example, some or all of a wide area network (WAN), a local area network (LAN), the Internet, a provider device, a wireless base station, a dedicated line, and the like.
The communication method is not limited to the network NW, and data can be exchanged via a memory card. Data can also be downloaded and uploaded via the network NW.

The terminal device TM is used by a user who gets into the vehicle Vh. The terminal device TM is a mobile phone such as a smartphone, a tablet terminal, or the like.
The terminal device TM may be a communication type drive recorder mounted on the vehicle Vh or a stationary type in-vehicle device.
The terminal device TM has a road patrol application built therein, which cooperates with the road surface condition providing server 100 .
The terminal device TM has a positioning device such as a GPS (Global Positioning System) receiver, a communication device for connecting to the network NW, input/output devices such as a G sensor (acceleration sensor), a camera, and a touch panel, and a processor such as a CPU (Central Processing Unit).

2 is a flow chart showing an example of a flow of a patrol. When the terminal device TM presses a patrol start button of a road patrol application (S1), the terminal device TM starts collecting position information, acceleration information, images, etc. (S2).
After the patrol is completed, the user presses a patrol end button on the road patrol application (S3) to transmit the position information, acceleration information, video, etc. of the terminal device TM to the road surface condition providing server 100 (S4).
The road surface condition providing server 100 determines the presence or absence of unevenness on the road surface based on the measurement information transmitted from the terminal device TM, and identifies the location of the road surface determined to be uneven. Also, based on the transmitted video, it determines the damage state of the road surface, and identifies the location of the road surface determined to be a risk location.

Fixed-point cameras (CAM) are installed on buildings or roadside posts around areas prone to flooding, such as roads (highways, main trunk roads, roads with heavy traffic, major bus routes, roads connecting to schools, public facilities, and emergency hospitals), underpasses (roads that are dug down at intersections), and roads along rivers. Fixed-point camera (CAM) cameras include live cameras, web cameras, and network cameras that are capable of communication.
The fixed camera CAM may be a communication-type drive recorder or a small unmanned aerial vehicle such as a drone.
The fixed camera CAM has a built-in camera application that communicates with the road space situation providing server 300 .
The fixed camera CAM has a lens, an image sensor, a positioning device such as a GPS (Global Positioning System) receiver, a communication device for connecting to the network NW, and a processor such as a CPU (Central Processing Unit).

3 is a flow chart showing an example of the flow of the fixed camera CAM. The fixed camera CAM periodically or intermittently collects road space conditions (S5), and periodically or intermittently automatically transmits images, position information, date and time information, etc. to the road space conditions providing server 300 (S6).
The road space situation providing server 300 judges whether the road is flooded or not based on the images transmitted from the fixed camera CAM, and identifies the position of the road space judged to be a risk location.

The road surface condition providing server 100 provides road surface conditions via the network NW to the emergency traffic regulation judgment support system 600. The road surface conditions provided are information for each road, and include some or all of the following: road damage, road subsidence, roadbed runoff, roadway collapse, pavement damage, gutter damage, road surface unevenness (including comparison with past conditions), snow accumulation, snow quality, and freezing on the road surface.
FIG. 4 is a diagram showing an example of road surface conditions, where a portion 110 where the road surface is extremely uneven is displayed in black on the map.
By comparing past unevenness conditions with the most recent unevenness conditions, changes in the unevenness of the road surface can also be grasped.

The traffic condition providing server 200 provides the traffic condition via the network NW to the emergency traffic regulation judgment support system 600. The provided traffic condition is information for each road, and includes some or all of the following: traffic volume, passing speed, average speed, locations where accidents frequently occur, locations where disasters have occurred in the past, and the presence or absence of congestion.
FIG. 5 is a diagram showing an example of traffic conditions, where a location 210 of heavy congestion is displayed in black on the map.

The road space condition providing server 300 provides the road space condition via the network NW to the emergency traffic regulation judgment support system 600. The provided road space condition is information for each road, and includes some or all of the following: landslides, landslides, soil runoff, slope collapses, tunnel collapses, road shoulder collapses, fallen trees, falling rocks, road scouring, total bridge damage, river collapses, river flooding, submergence, dense fog, avalanches, blizzards, and the presence or absence of wrecked vehicles.
FIG. 6 is a diagram showing an example of a road space situation, where flooded risk locations 310 are displayed in black on the map.

The weather condition providing server 400 provides weather conditions via the network NW to the emergency traffic regulation judgment support system 600. The weather conditions provided are information for each region, and include some or all of the following: time, weather, temperature, amount of rainfall, amount of snowfall, snow depth, wind speed, special warnings (heavy rain, windstorm, high tide, high waves, heavy snow, snowstorm), warnings (heavy rain, windstorm, flood, heavy snow, snowstorm, etc.), information on record short-term heavy rain, and the presence or absence of landslide warning information.
FIG. 7 is a diagram showing an example of weather conditions, in which the amount of rainfall 410 and warnings 420 are displayed in numbers and letters.

The vehicle travel status providing server 500 provides the vehicle travel status to the emergency traffic regulation judgment support system 600 via the network NW. The provided vehicle travel status is information for each road obtained from vehicles such as private cars, taxis, buses, trucks, etc., and includes some or all of the following: sudden braking points, skidding points, tire spinning points, and flooded points from vehicle sensors, etc.; traffic history, traffic volume, and congestion from probe information, etc.; and the presence or absence of rainfall or snowfall from the wiper operation status.
FIG. 8 is a diagram showing an example of a vehicle driving state, in which a location 510 where the tires are spinning is displayed in black on the map.

The information acquisition unit 610 operating in the emergency traffic regulation judgment support system 600 acquires the road surface conditions from the road surface condition providing server 100, the traffic conditions from the traffic condition providing server 200, the road space conditions from the road space condition providing server 300, the weather conditions from the weather condition providing server 400, and the vehicle driving conditions from the vehicle driving condition providing server 500 via the network NW.
The road surface conditions provided by the road surface condition providing server 100 are stored as road surface information 640. The traffic conditions provided by the traffic condition providing server 200 are stored as traffic information 650. The road space conditions provided by the road space condition providing server 300 are stored as road space information 660. The weather conditions provided by the weather condition providing server 400 are stored as weather information 670. The vehicle driving conditions provided by the vehicle driving condition providing server 500 are stored as vehicle driving information 680.

The analysis unit 620 operating in the emergency traffic regulation decision support system 600 analyzes each piece of road surface information 640, traffic information 650, road space information 660, weather information 670, and vehicle driving information 680 obtained from the information acquired by the information acquisition unit 610, and stores the analysis results 690.

The decision unit 630 operating in the emergency traffic regulation decision support system 600 makes a comprehensive emergency traffic regulation decision based on the analysis results 690 for each piece of information analyzed by the analysis unit 620, and stores the decision result 695.

FIG. 9 is a flow chart showing an example of the flow of the emergency traffic regulation judgment support system 600. The information acquisition unit 610 periodically acquires information on road surface conditions (e.g., every few minutes) from the road surface condition providing server 100 (S10). The information acquisition unit 610 periodically acquires information on traffic conditions (e.g., every few minutes) from the traffic condition providing server 200 (S11). The information acquisition unit 610 periodically acquires information on road space conditions (e.g., every few minutes) from the road space condition providing server 300 (S12). The information acquisition unit 610 periodically acquires information on weather conditions (e.g., every few minutes) from the weather condition providing server 400 (S13). The information acquisition unit 610 periodically acquires information on vehicle driving conditions (e.g., every few minutes) from the vehicle driving condition providing server 500 (S14).
The analysis unit 620 then extracts locations where the road surface is extremely uneven from the road surface information 640 (S15). The analysis unit 620 extracts locations where traffic congestion is particularly severe from the traffic information 650 (S16). The analysis unit 620 extracts locations where the road surface is at risk of flooding from the road space information 660 (S17). The analysis unit 620 extracts locations where warnings have been issued from the weather information 670 (S18). The analysis unit 620 extracts locations where the tires are spinning from the vehicle travel information 680 (S19).
Next, based on the results of the above analysis, the decision unit 630 makes a comprehensive decision on emergency traffic regulations (S20).
Furthermore, the emergency traffic regulation decision support system 600 may include information from road users utilizing SNS (Social Networking Services) such as Twitter (registered trademark).

10 is a diagram showing an example of a judgment criterion in the decision unit 630. The decision unit 630 makes a decision on emergency traffic restrictions in cases such as when a landslide occurs (element 1) 631, when a heavy rain special warning is issued and there is a flooded area (element 2) 632, when a heavy rain warning is issued and there are flooded areas and heavy traffic congestion (element 3) 633, when a heavy rain warning is issued and a road collapse causes tires to spin and cars cannot move forward, causing heavy traffic congestion (element 4) 634, when a heavy rain warning is issued and there are areas where the shoulder of the road has collapsed or the pavement has been damaged, causing frequent sudden braking and causing heavy traffic congestion (element 5) 635, etc.
Furthermore, the determination result 695 determined by the determination unit 630 may have a function of sending an email to a road administrator, a function of providing data to a road information board system, a function of providing data to a road closure information system, a function of providing data to a car navigation system, a function of providing data to an automated driving system, a function of providing data to MaaS (Mobility as a Service), and a function of disclosing information to road users (such as a website or a smartphone app). In addition, the determination result 695 may be used for detour guidance, instructions for soil removal work, and road repair plans.

The emergency traffic regulation decision support system 600 can be effective in one or more of the following conditions: road surface conditions, traffic conditions, road space conditions, weather conditions, and vehicle driving conditions.
Furthermore, by using two or more elements, a synergistic effect can be obtained.
Furthermore, being able to quickly implement emergency traffic restrictions will enable intensive landslide removal work and the rapid rescue of stranded vehicles, which is expected to minimize damage and enable expressways and other main roads to be restored quickly.
Even in areas with few typhoons, the system can be expected to be effective when linear rainbands cause torrential rain or localized heavy rain (guerilla downpours).

<Hardware configuration>
FIG. 11 is a diagram showing an example of the hardware configuration of the terminal device TM, the fixed camera CAM, the road surface condition providing server 100, the traffic condition providing server 200, the road space condition providing server 300, the weather condition providing server 400, the vehicle driving condition providing server 500, and the emergency traffic regulation judgment support system 600. This figure shows an example in which the terminal device TM is a mobile phone such as a smartphone. The terminal device TM is configured such that, for example, a CPU 701, a RAM 702, a ROM 703, a secondary storage device 704 such as a flash memory, a touch panel 705, and a wireless communication module 706 are connected to each other by an internal bus or a dedicated communication line. Application programs such as a road patrol app are downloaded via a network NW and stored in the secondary storage device 704. The fixed camera CAM is configured such that, for example, a CPU 901, a RAM 902, a ROM 903, a secondary storage device 904 such as a flash memory, a lens image sensor 905, and a communication device 906 are connected to each other by an internal bus or a dedicated communication line. Application programs such as a camera application are downloaded via the network NW and stored in the secondary storage device 904 .
Each server is configured such that, for example, a NIC 801, a CPU 802, a RAM 803, a ROM 804, a secondary storage device 805 such as a flash memory or HDD, and a drive device 806 are interconnected by an internal bus or a dedicated communication line. A portable storage medium such as an optical disk is mounted on the drive device 806. A program stored in the secondary storage device 805 or the portable storage medium mounted on the drive device 806 is deployed on the RAM 803 by a DMA controller (not shown) or the like, and executed by the CPU 802, thereby realizing the functional parts of each server. The road surface information 640, the traffic information 650, the road space information 660, the weather information 670, the vehicle driving information 680, the analysis result 690, and the judgment result 695 are stored in the secondary storage device 805. Note that each server may be cloud computing.

The above describes the form for carrying out the present invention using an embodiment, but the present invention is in no way limited to such an embodiment, and various modifications and substitutions can be made without departing from the spirit of the present invention.

100: Road surface condition providing server 200: Traffic condition providing server 300: Road space condition providing server 400: Weather condition providing server 500: Vehicle driving condition providing server 600: Emergency traffic regulation judgment support system 610: Information acquisition unit 620: Analysis unit 630: Decision unit 640: Road surface information 650: Traffic information 660: Road space information 670: Weather information 680: Vehicle driving information 690: Analysis result 695: Judgment result

Claims (3)

an information acquisition unit that acquires information including some or all of information related to road surface conditions, information related to traffic conditions, information related to road space conditions, information related to weather conditions, and information related to vehicle travel conditions;
an analysis unit that analyzes road surface conditions, traffic conditions, road space conditions, weather conditions, and vehicle driving conditions obtained from the information acquired by the information acquisition unit;
A decision unit that decides on emergency traffic regulations based on the results of the analysis by the analysis unit;
and determining an emergency traffic regulation by the determination unit. A program for causing a computer to function as the emergency traffic regulation decision support system described in claim 1. A road management method using a computer, comprising:
the computer acquires information including some or all of information related to road surface conditions, information related to traffic conditions, information related to road space conditions, information related to weather conditions, and information related to vehicle driving conditions via a network;
Analyzing the road surface conditions, traffic conditions, road space conditions, weather conditions, and vehicle driving conditions obtained from the acquired information,
A road management method characterized in that a decision on emergency traffic restrictions is made based on the results of the analysis.