JP2023069559A - Operation support device, program and operation support method - Google Patents

Abstract

To provide an operation support device, a program and an operation support method which allow risk determination for every vehicle according to conditions of attached tires.SOLUTION: An operation support device (10) comprises: an information acquisition unit (131) which acquires road surface information regarding a nature and a condition of a road surface and attached tire information regarding natures and conditions of tires attached to a vehicle (20); and a determination unit (132) which determines a risk on the basis of a travel route of the vehicle, the road surface information, and the attached tire information.SELECTED DRAWING: Figure 1

Description

The present disclosure relates to an operation support device, a program, and an operation support method.

Conventionally, there have been proposed methods for avoiding risks by sharing road surface information among a plurality of vehicles. For example, Patent Literature 1 discloses a technique of collecting and recording the positions at which abnormal acceleration occurs in a certain vehicle, and giving a warning or a control command not to cause abnormal acceleration when another vehicle approaches that position. do.

JP 2008-065753 A

Here, even if the road surface condition is the same, the magnitude of the risk differs depending on the condition of the tires mounted on the vehicle. In the prior art, the risk determination was uniform.

An object of the present disclosure, which has been made in view of such circumstances, is to provide an operation support device, a program, and an operation support method that enable risk determination for each vehicle in accordance with the state of the mounted tires.

An operation support device according to an embodiment of the present disclosure acquires road surface information, which is information about the properties and conditions of a road surface, and mounted tire information, which is information about the properties and conditions of tires attached to a vehicle. and a determination unit that determines a risk based on the travel route of the vehicle, the road surface information, and the mounted tire information.
This configuration enables risk determination for each vehicle according to the state of the mounted tires.

As one embodiment of the present disclosure, the determination unit predicts the road surface condition of the travel route at the scheduled time at which the vehicle travels, based on the road surface information.
With this configuration, the operation support device can perform more detailed risk determination for each vehicle, and can propose a travel route.

As one embodiment of the present disclosure, the fitted tire information includes at least one of the tire type, wear condition, presence/absence of chain attachment, and internal pressure.
With this configuration, the operation support device can perform more detailed risk determination for each vehicle, and can propose tire replacement.

As one embodiment of the present disclosure, the road surface information includes at least one information of road surface wetness, ice, and snow cover.
With this configuration, the operation support device can perform more detailed risk determination for each vehicle, and can issue appropriate warnings according to road conditions.

As one embodiment of the present disclosure, the road surface information includes road surface inclination information.
With this configuration, the operation support device can perform more detailed risk determination for each vehicle, and can propose a travel route.

As one embodiment of the present disclosure, the information acquisition unit acquires load information of the vehicle, and the determination unit determines risk based on the load information.
With this configuration, the operation support device can perform more detailed risk determination for each vehicle, and can propose a travel route.

A program according to an embodiment of the present disclosure acquires road surface information, which is information about the properties and conditions of the road surface, and mounted tire information, which is information about the properties and conditions of the tires attached to the vehicle, to the operation support device. and determining a risk based on the travel route of the vehicle, the road surface information, and the mounted tire information.
This configuration enables risk determination for each vehicle according to the state of the mounted tires.

An operation support method according to an embodiment of the present disclosure is an operation support method executed by an operation support device, and includes road surface information, which is information about the properties and conditions of road surfaces, and properties and conditions of tires mounted on a vehicle. and determining the risk based on the travel route of the vehicle, the road surface information, and the mounted tire information.
This configuration enables risk determination for each vehicle according to the state of the mounted tires.

According to the present disclosure, it is possible to provide an operation support device, a program, and an operation support method that enable risk determination for each vehicle according to the state of mounted tires.

FIG. 1 is a diagram illustrating a configuration example of an operation support system including an operation support device according to an embodiment of the present disclosure. FIG. 2 is another diagram showing a configuration example of the operation support system of FIG. FIG. 3 is a diagram exemplifying a vehicle management database stored in a storage unit of the operation support device. FIG. 4 is a diagram illustrating an image showing a travel route including a frozen area. FIG. 5 is a flow chart illustrating an example of an operation support method according to an embodiment of the present disclosure.

Hereinafter, an operation support device and an operation support method according to an embodiment of the present disclosure will be described with reference to the drawings. In each figure, the same reference numerals are given to the same or corresponding parts. In the description of this embodiment, the description of the same or corresponding parts will be omitted or simplified as appropriate.

FIG.1 and FIG.2 is a figure which shows the structural example of the operation assistance system 1 containing the operation assistance apparatus 10 which concerns on this embodiment. FIG. 1 is a block diagram including an internal configuration example of the operation support device 10. As shown in FIG. FIG. 2 shows the overall configuration of the operation support system 1. As shown in FIG.

The operation support device 10 determines risks for the vehicle 20 and provides information (including warnings) related to the risks. Risks include dangers in driving the vehicle 20 (eg, slippage, difficulty in driving), but may also include unscheduled events (eg, road closures). An operation assistance system 1 including an operation assistance device 10 transmits and receives information to and from a plurality of vehicles (vehicle 20 and other vehicles). The vehicle 20 is one of such multiple vehicles, and can receive risk-related information and provide the operation assistance system 1 with data obtained during travel.

The operation support device 10 includes a communication unit 11 , a storage unit 12 and a control unit 13 . The control unit 13 includes an information acquisition unit 131 , a determination unit 132 and a notification unit 133 . The operation support device 10 may be, for example, a computer such as a server as a hardware configuration. Details of the components of the operation support device 10 will be described later.

The operation support device 10 may configure the operation support system 1 together with the operation management device 60 connected via the network 40 . The network 40 is, for example, the Internet, but may be a LAN (Local Area Network). The operation support system 1 may further include an information providing device connected via the network 40 . The information providing device may be, for example, a computer that provides weather forecast information, map information, and the like.

The operation management device 60 is a device that manages operation states of a plurality of vehicles including the vehicle 20 . The operation management device 60 acquires information such as the speed, travel time, and travel distance of a plurality of vehicles including the vehicle 20, and manages these vehicles. These vehicles may be trucks, for example, but are not limited to any particular type of vehicle. In this embodiment, it is assumed that the plurality of vehicles (including the vehicle 20) managed by the operation management device 60 are trucks used for transportation. The operation management device 60 also manages travel routes of a plurality of vehicles including the vehicle 20 . The administrator of the operation management device 60 can notify the driver of the vehicle 20 by voice. For example, the administrator can call on the driver of the vehicle 20 to change the travel route, etc., using the voice notification or voice call function of the operation recorder 80, which will be described later.

The vehicle 20 includes an in-vehicle device capable of transmitting and receiving data by connecting to the network 40 . In this embodiment, the vehicle 20 is equipped with a travel recorder 80 connectable to the network 40 . The vehicle 20 also includes a detection device 70 that detects mounted tire information, which is information about the properties and conditions of the tires 30 mounted on the vehicle 20 while the vehicle 20 is running. The operation support device 10 and the operation management device 60 can acquire the mounted tire information detected by the detection device 70 via the operation recorder 80 and the network 40 . Other vehicles that transmit and receive information to and from the operation support system 1 are also equipped with the detection device 70 and the operation recorder 80 in the same manner as the vehicle 20 . For example, the operation support device 10 acquires in real time information on the tires fitted to other vehicles in front of the travel route of the vehicle 20, and detects from changes in acceleration of the other vehicles that the road surface is wet due to localized rainfall or the like. (hereinafter referred to as wet) can be estimated and used for risk determination of the vehicle 20 .

The detection device 70 is a device or system that includes a sensor and generates mounted tire information. The detection device 70 may be one or plural. In this embodiment, the detection device 70 includes an acceleration detection system and a tire pressure monitoring system (TPMS). The sensing device 70 may include devices or systems other than acceleration sensing systems and tire pressure monitoring systems. The detection device 70 may include, for example, an air temperature sensor that measures the air temperature in the running environment, an air pressure sensor that measures the air pressure, a humidity sensor that measures the humidity, and the like. Here, a device or system included in the detection device 70 may have a known configuration.

The acceleration detection system detects the acceleration of vehicle 20 . The acceleration detection system may include, for example, an acceleration sensor installed in the vehicle 20, a memory that stores detection values of the acceleration sensor, and a processor that controls the operation of the acceleration sensor and memory. The acceleration sensor is, for example, a three-axis sensor. Further, the processor can detect the vibration of the vehicle 20 caused by the rotation of the tire 30 from the temporal change of the detected value, and can determine the type of the tire 30 and whether or not the chain is attached based on the magnitude and pattern of the vibration. . The type of tires 30 may be classified as summer or winter, for example. The processor can also calculate the amount of wear of the tire 30 based on frictional energy that can be calculated using acceleration. Frictional energy is a parameter that indicates how easily the tire 30 wears, as described in Japanese Patent Application Laid-Open No. 11-326143, for example. That is, the processor can calculate the wear state of the tire 30 from the detection value of the acceleration sensor. In the present embodiment, the acceleration detection system outputs information such as the type of tire 30 attached to the vehicle 20, the wear state, and the presence or absence of chain attachment to the operation support device 10 as the attached tire information. Further, the mounted tire information may include data of the detected acceleration.

The tire pressure monitoring system monitors the internal pressure of tires 30 mounted on vehicle 20 . The tire pressure monitoring system includes, for example, a pressure sensor installed inside the tire 30, a memory that stores the detected value of the pressure sensor, and a processor that controls the operation of the pressure sensor and the memory. good. In the present embodiment, the tire pressure monitoring system outputs information on the internal pressure of the tire 30 attached to the vehicle 20 to the operation support device 10 as the mounted tire information.

Also, the processor of the tire pressure monitoring system may generate load information of the vehicle 20 based on the information of the internal pressure of the tire 30 . The processor may determine that the vehicle 20, which is a truck, is loaded with a load, for example, from an increase in the internal pressure of the tire 30, and calculate its weight. In this embodiment, the load information of the vehicle 20 is output to the operation support device 10 together with the mounted tire information.

In this embodiment, the mounted tire information includes the type of tire 30, wear condition, presence/absence of chain mounting, and internal pressure information, but may not include all of these pieces of information. For example, the mounted tire information may include at least one of the type of tire 30, wear condition, presence/absence of chain mounting, and internal pressure information.

The operation recorder 80 is an in-vehicle device that outputs information such as the speed, travel time, and travel distance of the vehicle 20 to the operation support device 10 and the operation management device 60 . In this embodiment, the operation recorder 80 is a digital tachograph, but is not limited to a digital tachograph. In addition, the operation recorder 80 outputs mounted tire information and load information to the operation support device 10 . The operation recorder 80 may acquire information such as the speed, travel time, and travel distance of the vehicle 20 from an ECU (Electronic Control Unit) of the vehicle 20 via an in-vehicle network such as CAN (Controller Area Network). As another example, the operation recorder 80 acquires information on the acceleration of the vehicle 20 from the acceleration detection system, which is the detection device 70, and calculates the speed, travel time, travel distance, etc. of the vehicle 20, You may output to the operation management apparatus 60. FIG. Further, in the present embodiment, the operation recorder 80 outputs information on the current position of the vehicle 20 to the operation support device 10 and the operation management device 60 . The operation recorder 80 may have a GPS (Global Positioning System) function, and may acquire current position information from another vehicle-mounted device having a GPS function via CAN.

The operation recorder 80 may be configured including an output unit 81 and an interface unit 82, for example. The output unit 81 outputs information such as the speed, travel time, and travel distance of the vehicle 20 to the operation management device 60 , and outputs mounted tire information and load information to the operation support device 10 . The interface unit 82 enables voice communication between the driver and the manager of the operation management device 60, and includes, for example, a microphone and a speaker. Further, the interface unit 82 includes a display device such as a display. The administrator of the operation management device 60 can prompt the driver to take action by displaying a warning or the like on the display device.

Further, as shown in FIG. 2 , the operation support device 10 can acquire road information such as road surface information and weather forecast information via the network 40 . Road surface information is information about the nature and condition of the road surface. In this embodiment, the road surface information includes information on at least one of road surface wetness, ice, and snow coverage. The road surface information may be a combination of acceleration and position information from other vehicles, weather information, and road map information (coordinates, etc.), for example. As another example, road surface information may be information provided by an organization that manages roads. In addition, in the present embodiment, the road surface information includes road surface inclination information. Detailed road map information, for example, may be used as the slope information.

Details of the components of the operation support device 10 will be described below. The communication unit 11 includes one or more communication modules connected to the network 40 . The communication unit 11 may include a communication module compatible with mobile communication standards such as 4G (4th Generation) and 5G (5th Generation). The communication unit 11 may include a communication module compatible with, for example, a wired LAN standard (eg, 1000BASE-T). The communication unit 11 may include, for example, a communication module compatible with the wireless LAN standard (IEEE802.11 as an example).

The storage unit 12 is one or more memories. The memory is, for example, a semiconductor memory, a magnetic memory, an optical memory, or the like, but is not limited to these and can be any memory. The storage unit 12 is built in the operation support device 10, for example, but may be configured to access the operation support device 10 from the outside via an arbitrary interface.

The storage unit 12 stores various data used in various calculations executed by the control unit 13 . Further, the storage unit 12 may store results of various calculations executed by the control unit 13 and intermediate data.

In the present embodiment, the storage unit 12 stores a vehicle management database used for risk determination by the determination unit 132, the above-described road surface information, map information, and the like. The map information may be acquired via the network 40 and stored in the storage unit 12 . Details of the vehicle management database will be described later.

The control unit 13 is one or more processors. The processor is, for example, a general-purpose processor or a dedicated processor specialized for specific processing, but is not limited to these and can be any processor. The control unit 13 controls the overall operation of the operation support device 10 .

Here, the operation support device 10 may have the following software configuration. One or more programs used for controlling the operation of the operation support device 10 are stored in the storage unit 12 . The program stored in the storage unit 12 causes the control unit 13 to function as the information acquisition unit 131 , the determination unit 132 and the notification unit 133 when read by the processor of the control unit 13 .

The information acquisition unit 131 acquires road surface information and mounted tire information. The information acquisition unit 131 also acquires load information, weather forecast information, and the like. The information acquisition unit 131 causes the storage unit 12 to store the acquired road surface information. In the storage unit 12, road surface information may be stored in association with map information via coordinates or the like. The information acquisition unit 131 also creates or updates a vehicle management database for managing the acquired information for each vehicle, and stores the database in the storage unit 12 .

FIG. 3 is a diagram illustrating a vehicle management database stored in the storage unit 12. As shown in FIG. The mounted tire information and load information acquired by the information acquisition unit 131 are associated with each of the plurality of vehicles by the vehicle management database. In the example of FIG. 3, multiple vehicles are distinguished by identifiers such as A001, B001, and B002. For example, A001 is a winter tire and has a remaining groove of 4.3 mm as a worn state. For example, A001 has a chain attached, the internal pressure is the value measured by the tire pressure monitoring system, and the load is zero (no load). Here, in the example of FIG. 3, the remaining groove shows the tire with the smallest value among the plurality of tires mounted on each vehicle. As another example, the respective tread remaining on each vehicle's fitted tire may be shown.

Here, the information acquisition unit 131 acquires the travel route from the operation management device 60 . As shown in FIG. 3, the acquired travel route is associated with the map information stored in the storage unit 12 and managed by the vehicle management database.

The determination unit 132 determines the risk based on the travel route of the vehicle 20, road surface information, and mounted tire information. In this embodiment, the determination unit 132 first identifies the identifier of the vehicle 20 that is the target of risk determination. The determination unit 132 reads the vehicle management database from the storage unit 12, and extracts the travel route of the vehicle 20 and the mounted tire information based on the identifier. The determination unit 132 also reads road surface information from the storage unit 12 . Based on the road surface information, the determination unit 132 predicts the state of the road surface along the travel route at the scheduled time when the vehicle 20 travels. The scheduled time at which the vehicle 20 will travel may be predicted by a known method used in, for example, a car navigation system. Further, the road surface condition of the travel route at the scheduled time may be predicted by a known method from the current condition (wet, frozen, snowy, etc. of the road surface) based on the road surface information and weather forecast information.

For example, when it is detected from the road surface information that the road surface is frozen on the travel route of the vehicle 20, the determination unit 132 determines whether the road surface will be frozen by the scheduled time when the vehicle 20 will pass, based on the temperature information obtained from the weather forecast information or the like. It may be determined whether the frozen state of is thawed. When judging that the road surface is still frozen at the scheduled time when the vehicle 20 passes, the judgment unit 132 judges a risk such as a slip due to the frozen road surface based on information on the tires mounted on the vehicle 20 .

For example, when the vehicle 20 is A001 in FIG. 3, the type of the tire 30 is for winter and the remaining groove is 4.3 mm, which is equal to or greater than the first reference value. may be determined not to be performed. Here, the first reference value is a reference value for risk evaluation against freezing of the road surface, and is set to 4.2 mm as an example. For example, when the vehicle 20 is B001 in FIG. 3, the determination unit 132 may determine that the warning should not be issued because the type of the tire 30 is for summer use but the chain is attached. Further, for example, when the vehicle 20 is B002 in FIG. 3, the type of the tire 30 is for winter, but the remaining groove is 4.0 mm, which is less than the first reference value, so the risk is high. can be determined. Then, the determination unit 132 may issue a warning.

The determination unit 132 may generate, for example, a message prompting the user to change the travel route as a warning, and cause the notification unit 133 to output the message to the operation management device 60 . Here, as shown in FIG. 4, the determination unit 132 uses the map information stored in the storage unit 12 to generate an image showing the current position of the vehicle 20, the travel route, and the area where the road surface is frozen. you can The determination unit 132 may cause the notification unit 133 to output the generated image to the operation management device 60 . The generated image may be sent to the driver of vehicle 20 by traffic management device 60 with or without warning. The driver of the vehicle 20 can recognize that the road surface is frozen on the travel route and take avoidance action. In this way, the determination unit 132 determines the risk based on the road surface information such as frozen, snowy, and wet conditions, and the mounted tire information. Appropriate warning can be issued accordingly. In addition, the determination unit 132 can also make a proposal regarding tire replacement (such as replacing a tire for summer with a tire for winter). In other words, unlike the uniform risk determination of the conventional technology, the operation support device 10 can perform more detailed risk determination for each vehicle.

The determination unit 132 may further determine the risk based on the information on the slope of the road surface. Moreover, the determination part 132 may determine a risk further based on load information. The determination unit 132 may determine that the frozen road surface is an uphill based on the road surface inclination information, for example, and perform a risk determination that is stricter than when the road surface is flat. Further, when judging that the vehicle 20 is heavy from the load information, the judging section 132 may judge the operability on the frozen road surface to be poor and make a more severe risk judgment than usual. For example, when the vehicle 20 is B001 in FIG. 3, the chain is attached, but the load of the vehicle 20 is large, so the determination unit 132 may determine that the risk is high. The determination unit 132 may further determine the risk based on information on the internal pressure of the tire 30 . For example, when the internal pressure of the tire 30 is low, the determination unit 132 may perform a risk determination that is stricter than usual, assuming that the operability on a curve will be deteriorated. Further, the determination unit 132 may search for an avoidance route without a slope based on the map information and the information on the slope of the road surface, and generate the avoidance route along with the warning. By the judgment unit 132 judging the risk based on the road surface inclination information, the load information, etc., it is possible to make a more detailed risk judgment for each vehicle and to propose a travel route. Further, the determination unit 132 may suggest replacement of the tire 30 whose internal pressure has decreased.

The notification unit 133 outputs information regarding the risk determination performed by the determination unit 132 to the operation management device 60 . Information related to risk determination includes the above-mentioned warnings, images, avoidance routes, replacement suggestions for tires 30, and the like. A manager of the operation management device 60 can grasp the information regarding the risk determination from the notification unit 133 . In addition, the manager uses the voice notification or voice call function of the operation management device 60 and the operation recorder 80 to convey information related to risk determination to the driver of the vehicle 20, indicate an avoidance route, and change the travel route. It is possible to call for changes.

FIG. 5 is a flowchart illustrating an operation support method executed by the operation support device 10 according to this embodiment.

The information acquisition unit 131 acquires road surface information and mounted tire information (step S1).

Based on the road surface information, the determination unit 132 predicts the state of the road surface along the travel route at the scheduled time when the vehicle 20 travels (step S2).

If the road surface condition is frozen or covered with snow at the scheduled time when the vehicle 20 passes (Yes in step S3), the determination unit 132 proceeds to the process of step S4. If the state of the road surface is not frozen or covered with snow at the scheduled time when the vehicle 20 passes (No in step S3), the determination unit 132 proceeds to the process of step S8.

The determination unit 132 reads the vehicle management database from the storage unit 12, and when the type of the tires 30 mounted on the vehicle 20 is for winter use (Yes in step S4), the process proceeds to step S5. If the type of tire 30 mounted on the vehicle 20 is not for winter (No in step S4), the determination unit 132 proceeds to the process of step S6.

If the remaining groove of the tire 30 mounted on the vehicle 20 is greater than or equal to the first reference value (Yes in step S5), the determination unit 132 determines that the risk is not high, and terminates the process without issuing a warning. However, even if the process ends without giving a warning, the determination unit 132 generates an image such as that shown in FIG. you can

If the remaining groove of the tire 30 mounted on the vehicle 20 is less than the first reference value (No in step S5), the determination unit 132 determines that the risk is high, and causes the notification unit 133 to output a warning (step S7 ). In addition to the warning, the determination unit 132 may suggest changing the travel route.

If the type of tires 30 that the vehicle 20 is equipped with is not for winter, but chains are attached (Yes in step S6), the determination unit 132 terminates the process without issuing a warning.

If the type of tire 30 attached to vehicle 20 is not for winter use and chains are not attached (No in step S6), determination unit 132 causes notification unit 133 to output a warning (step S7). In addition to issuing a warning, the determination unit 132 may suggest changing the tires 30 from summer tires to winter tires and suggest changing the travel route.

If the road surface condition is wet at the scheduled time when the vehicle 20 passes (Yes in step S8), the determination unit 132 proceeds to the process of step S9. If the road surface condition is not wet at the scheduled time when the vehicle 20 passes (No in step S8), the determination unit 132 ends the process.

If the remaining groove of the tire 30 mounted on the vehicle 20 is equal to or greater than the second reference value (Yes in step S9), the determination unit 132 determines that the risk is not high, and terminates the process without issuing a warning. The second reference value is a reference value for risk evaluation of road surface wetness, and may be the same as or different from the first reference value.

If the remaining groove of the tire 30 mounted on the vehicle 20 is less than the second reference value (No in step S9), the determination unit 132 determines that the risk is high, and causes the notification unit 133 to output a warning (step S10 ). The determination unit 132 may include a deceleration instruction in the warning. Further, the determination unit 132 may calculate the braking distance from information such as the speed of the vehicle 20 and display the braking distance in addition to the warning.

As described above, the operation support device 10 and the operation support method according to the present embodiment enable risk determination for each vehicle according to the state of the mounted tires by the above configuration.

Although the embodiments of the present disclosure have been described with reference to drawings and examples, it should be noted that various variations or modifications can be easily made by those skilled in the art based on the present disclosure. Therefore, it should be noted that these variations or modifications are included within the scope of this disclosure. For example, functions included in each component or each step can be rearranged so as not to be logically inconsistent, and multiple components or steps can be combined into one or divided. is. Embodiments according to the present disclosure can also be implemented as a program executed by a processor provided in a device or as a storage medium recording the program. It should be understood that these are also included within the scope of the present disclosure.

In the above embodiments, the mounted tire information and load information are detected or generated by the detection device 70 . As another example, part of the mounted tire information and the load information may be acquired from the operation management device 60 . For example, the operation management device 60 may manage whether or not chains are attached to a plurality of vehicles under management, and the operation support device 10 may acquire this information.

In the above embodiment, the determination unit 132 performs risk determination by the same processing when the road surface is frozen and when it is covered with snow. As another example, in the case of snow cover, the determination unit 132 may perform processing different from freezing. For example, in the case of snow coverage, the determination unit 132 may set a reference value dedicated to snow coverage different from the first reference value.

1 operation support system 10 operation support device 11 communication unit 12 storage unit 13 control unit 20 vehicle 30 tire 40 network 60 operation management device 70 detection device 80 operation recorder 81 output unit 82 interface unit 131 information acquisition unit 132 determination unit 133 notification unit

Claims (8)

an information acquisition unit that acquires road surface information, which is information about the properties and conditions of the road surface, and mounted tire information, which is information about the properties and conditions of the tires mounted on the vehicle;
An operation support device, comprising: a determination unit that determines a risk based on the travel route of the vehicle, the road surface information, and the mounted tire information. The operation support device according to claim 1, wherein the determining unit predicts a road surface state of the travel route at a scheduled time when the vehicle travels, based on the road surface information. The operation support device according to claim 1 or 2, wherein the mounted tire information includes at least one of the tire type, wear state, presence/absence of chain mounting, and internal pressure. The operation support device according to any one of claims 1 to 3, wherein the road surface information includes information on at least one of road surface wetness, ice, and snow coverage. The operation support device according to any one of claims 1 to 4, wherein the road surface information includes road surface inclination information. The information acquisition unit acquires load information of the vehicle,
The operation support device according to any one of claims 1 to 5, wherein the determination unit determines risk based on the load information. For operation support equipment,
Acquiring road surface information, which is information about the properties and conditions of a road surface, and mounted tire information, which is information about the properties and conditions of tires mounted on a vehicle;
determining a risk based on the travel route of the vehicle, the road surface information, and the mounted tire information. An operation support method executed by an operation support device,
Acquiring road surface information, which is information about the properties and conditions of a road surface, and mounted tire information, which is information about the properties and conditions of tires mounted on a vehicle;
An operation support method, comprising determining a risk based on the travel route of the vehicle, the road surface information, and the mounted tire information.

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