Information processing system, information processing program and server
The system addresses the challenge of reducing greenhouse gas emissions by evaluating and providing feedback on accelerator operations, enhancing driver awareness and reducing emissions through clear feedback mechanisms.
Patent Information
- Application Number
- JP2025052753
- Authority / Receiving Office
- JP · JP
- Patent Type
- Patents
- Current Assignee / Owner
- Priority Date
- 2025-03-26
- Filing Date
- 2025-03-26
- Publication Date
- 2025-08-07
- Estimated Expiration
- 2045-03-26
AI Technical Summary
Existing technologies fail to effectively reduce greenhouse gas emissions, particularly for drivers who are not environmentally conscious, and lack clear feedback on their accelerator operations' impact on emissions.
An information processing system that acquires vehicle driving information, evaluates accelerator operations, calculates greenhouse gas emissions, and provides feedback to drivers, linking the evaluation with emissions over time, using a smartphone or server.
Enhances driver awareness of efficient accelerator operation, reducing greenhouse gas emissions and accidents, while enabling companies and local governments to recognize the importance of such training for profit and environmental impact.
Smart Images

Figure 0007720124000001_ABST
Abstract
Description
[Technical Field]
[0001] The present invention relates to an information processing system, an information processing program, and a server. [Background technology]
[0002] In the above technical field, Patent Document 1 discloses a driving assistance device that assists a driver in eco-driving. [Prior art documents] [Patent documents]
[0003] [Patent Document 1] Japanese Patent Application Laid-Open No. 2011-203456 Summary of the Invention [Problem to be solved by the invention]
[0004] However, the technology described in the above document has no effect on drivers who are not interested in environmental protection, and the effect of reducing carbon dioxide emissions is limited.
[0005] An object of the present invention is to provide a technique for solving the above-mentioned problems. [Means for solving the problem]
[0006] In order to achieve the above object, the system according to the present invention comprises: a travel information acquisition unit that acquires travel information of a vehicle; Based on the acquired driving information, the driver of the vehicle Among the operations by an accelerator operation evaluation unit that performs an accelerator operation evaluation specialized for accelerator operation; a notification unit that notifies the driver of the accelerator operation evaluation; an emission calculation unit that calculates greenhouse gas emissions based on the energy consumption included in the acquired driving information; a linking unit that links the accelerator operation evaluation and the greenhouse gas emissions for a certain period of time; It is an information processing system equipped with the above.
[0007] In order to achieve the above object, the program according to the present invention comprises: An information processing program for providing the information processing system, comprising: a travel information acquisition unit that acquires travel information of a vehicle; Based on the driving information, Among the operations by an accelerator operation evaluation unit that performs an accelerator operation evaluation specialized for accelerator operation; a notification unit that notifies the driver of the accelerator operation evaluation; It is an information processing program that functions as a
[0008] In order to achieve the above object, the server according to the present invention comprises: A server for providing the information processing system according to claim 1, a travel information acquisition unit that acquires travel information of a vehicle; Based on the driving information, Among the operations by an accelerator operation evaluation unit that performs an accelerator operation evaluation specialized for accelerator operation; an emission calculation unit that calculates greenhouse gas emissions based on the energy consumption included in the acquired driving information; a linking unit that links the accelerator operation evaluation and the greenhouse gas emissions for a certain period of time; It is a server equipped with [Effects of the Invention]
[0009] According to the present invention, greenhouse gas emissions can be reduced more effectively and clearly. [Brief explanation of the drawings]
[0010] [Figure 1] 1 is a block diagram showing a configuration of an information processing system according to a first embodiment. [Figure 2A]FIG. 10 is a diagram showing the background of an information processing system according to a second embodiment. [Figure 2B] FIG. 10 is a diagram showing a usage state of an information processing system according to a second embodiment. [Figure 3] FIG. 10 is a block diagram showing the functional configuration of an information processing system according to a second embodiment. [Figure 4] FIG. 10 is a diagram showing an evaluation table of the information processing system according to the second embodiment. [Figure 5] FIG. 10 is a diagram illustrating a hardware configuration of an information processing system according to a second embodiment. [Figure 6] 10 is a flowchart showing the flow of processing in an information processing system according to a second embodiment. [Figure 7] FIG. 10 is a diagram showing the relationship between the evaluation result of accelerator operation in the information processing system according to the second embodiment and the amount of greenhouse gas emissions per unit driving distance. [Figure 8] FIG. 10 is a graph showing the relationship between changes in accelerator operation evaluation and greenhouse gas emissions in the information processing system according to the second embodiment. [Figure 9] FIG. 10 is a block diagram showing the functional configuration of an information processing system according to a third embodiment. [Figure 10] FIG. 10 is a block diagram showing the functional configuration of an information processing system according to a fourth embodiment. DETAILED DESCRIPTION OF THE INVENTION
[0011] Hereinafter, embodiments of the present invention will be described in detail by way of example with reference to the drawings. However, the components described in the following embodiments are merely examples and are not intended to limit the technical scope of the present invention.
[0012] [First embodiment] An information processing system 100 according to a first embodiment of the present invention will be described with reference to FIG.
[0013] One of the objectives of this embodiment is to reduce CO2 emissions. However, even if each driver is vaguely requested to drive in a way that reduces CO2 emissions, the driver will not know what to do and will not comply with the request. In fact, very few people drive in an environmentally friendly manner.
[0014] On the other hand, it is possible to make drivers aware of safe driving and fuel-efficient driving, and this has been done up until now. Therefore, in this embodiment, a system is proposed that makes each driver aware of safe driving rather than the environment, and as a result, CO2 emissions are reduced.
[0015] Specifically, the driver is made directly aware that operating the accelerator slowly leads to fewer accidents, better fuel economy, and reduced costs, and the server is sent a message showing how changes in the driver's evaluation of accelerator operation have led to reduced CO2 emissions, as well as the relationship between accelerator operation evaluation and the amount of CO2 reduction.
[0016] For example, a non-life insurance company can contribute to reducing global CO2 emissions by encouraging accelerator operation training through this system for many individual drivers who are its policyholders. This can then generate profits for the company through trading in CO2 reductions.
[0017] On the other hand, taxi companies, transportation companies, and other companies whose business involves driving vehicles, as well as rental car companies and car sharing companies, can contribute to reducing global CO2 emissions and earn profits through trading of CO2 reductions by encouraging their large number of driver employees or customers to train how to operate the accelerator through this system.
[0018] Furthermore, by encouraging local governments or countries to use this system to train individual drivers who are also residents in accelerator operation, they can contribute to reducing global CO2 emissions. Furthermore, it may be possible to generate profits by trading the amount of CO2 reduction.
[0019] In particular, by clearly showing the relationship between accelerator operation evaluation and CO2 reductions, companies such as non-life insurance companies, taxi companies, transportation companies, local governments, and the country will be able to clearly recognize the importance of accelerator operation evaluation.
[0020] Specifically, the information processing system 100 of this embodiment includes a driving information acquisition unit 101, an accelerator operation evaluation unit 102, a notification unit 103, an emission calculation unit 104, and a linking unit 105, as shown in FIG.
[0021] The driving information acquisition unit 101 acquires driving information of the vehicle. The accelerator operation evaluation unit 102 performs an accelerator operation evaluation specific to the driver's accelerator operation based on the acquired driving information. The notification unit 103 notifies the driver of the accelerator operation evaluation.
[0022] The emission calculation unit 104 calculates the amount of greenhouse gas emissions based on the energy consumption included in the driving information. The linking unit 105 links the accelerator operation evaluation for a certain period with the amount of greenhouse gas emissions for the same certain period.
[0023] The information processing system 100 may be an on-board device installed in a vehicle, a server on the Internet, or a mobile terminal carried by a driver.
[0024] According to the above configuration, the driver is given an evaluation of their accelerator operation, and the greenhouse gas emissions linked to the evaluation are transmitted to a predetermined server. This makes the driver aware of the importance of careful accelerator operation, and also shows the company how much their accelerator operation evaluation contributes to greenhouse gas emissions.
[0025] [Second embodiment] Next, a smartphone 200 as an information processing system according to a second embodiment of the present invention will be described with reference to FIGS. 2A to 6. FIG. 2A is a diagram illustrating a scenario in which the smartphone 200 operates. FIG. 2A shows a scenario in which a sudden acceleration of the vehicle 210 causes a personal injury accident when the vehicle 210 starts from a parking lot. Drivers who normally operate the accelerator pedal suddenly or roughly operate the accelerator pedal are at high risk of causing a personal injury accident or property damage accident due to sudden acceleration when starting the vehicle 210. Reducing sudden acceleration can reduce the number of accidents and the amount of damage caused by the accidents.
[0026] Therefore, in order to improve the accelerator operation, the smartphone 200 acquires driving information from the vehicle 210, evaluates the accelerator operation of the driver of the vehicle 210, and notifies the driver of the evaluation result.
[0027] 2B is a diagram showing an example of notification by smartphone 200. As shown in Fig. 2B, an image 201 or animation showing the accelerator operation evaluation, a score showing the evaluation result, etc. are displayed on smartphone 200 carried by the driver. Other methods of notification include alert sounds, audio guidance, light, and vibration.
[0028] It is expected that the evaluation displayed on the smartphone 200 will encourage the driver to improve their accelerator operation, and ultimately help them to make slow accelerator operation a habit.
[0029] Meanwhile, the server 220 connected to the smartphone 200 via the network stores, in a viewable manner, the extent to which greenhouse gases (for example, CO2) have been reduced as a result of such an evaluation of the accelerator operation.
[0030] 3 is a block diagram showing the configuration of smartphone 200. Smartphone 200 includes, as functional components, a driving information acquisition unit 301, a change amount calculation unit 302, an accelerator operation evaluation unit 303, a notification unit 304, an emission amount calculation unit 305, and a transmission unit 306. These functional components are realized by a processor implemented in smartphone 200 executing a specific application.
[0031] The driving information acquisition unit 301 acquires driving information of the vehicle driven by the driver. The driving information includes, for example, the vehicle speed and acceleration, accelerator opening, accelerator depression amount, steering angle, remaining fuel, brake depression force, and location information, but is not limited to these. The driving information is acquired, for example, via OBD (On-board Diagnostics), CAN (Controller Area Network), ECU (Electrical Control Unit), etc. Note that vehicle location information may also be acquired from a GPS (Global Positioning System) device attached to the vehicle.
[0032] The accelerator opening is acquired via an APS (Accelerator Position Sensor) etc. Here, the accelerator opening refers to the degree of depression of the accelerator pedal, that is, the degree of opening of the throttle valve linked to the amount of depression of the accelerator pedal.
[0033] The change amount calculation unit 302 may calculate the amount of accelerator change per unit time of the vehicle from the driving information acquired by the driving information acquisition unit 301. That is, the amount of change in accelerator opening per unit time (for example, one second) may be calculated from the difference in accelerator opening before and after the unit time.
[0034] The accelerator operation evaluation unit 303 evaluates the accelerator operation of the driver. Specifically, if the driver presses the accelerator slowly, the accelerator operation evaluation unit 303 evaluates the driver's accelerator operation highly. For example, the accelerator operation score may be calculated by multiplying the number of seconds it takes to accelerate 20 km by 20, so that a score of 100 is obtained if it takes 5 seconds or more to change the accelerator opening to achieve an acceleration of 20 km. In other words, if the driver presses the accelerator suddenly, the smartphone 200 evaluates the driver's accelerator operation poorly.
[0035] Accelerator operation evaluation unit 303 may compare the accelerator change amount per unit time with a predetermined threshold and create a frequency distribution of accelerator change amounts for accelerator change amounts equal to or greater than the predetermined threshold. Accelerator operation evaluation unit 303 may then read the numerical trend of accelerator change amounts from the created frequency distribution of accelerator change amounts. As a result, if the accelerator change amount tends to be low, it can be determined that the accelerator is pressed slowly and smoothly, and the accelerator operation can be evaluated with a high score, for example.
[0036] Furthermore, instead of or in addition to scoring a single accelerator operation, accelerator operation evaluation unit 303 may score the accelerator operation based on a frequency distribution. That is, accelerator operation evaluation unit 303 may score the accelerator operation based on the proportion of the number of times the accelerator change per unit time was 1 to 6% (for example, the accelerator opening changed by 1 to 6% of the maximum accelerator change per second) to the total number of times. Specifically, if the proportion of times that the accelerator change was 1 to 6% was 60%, the score may be determined as follows: 50 points if the proportion was 60%, 60 points if the proportion was 65%, 70 points if the proportion was 70%, and 80 points if the proportion was 80%.
[0037] The accelerator operation evaluation unit 303 may evaluate the accelerator operation using the vehicle's speed and acceleration instead of the accelerator opening or frequency distribution. In this case, the change amount calculation unit 302 calculates the time required to reach a predetermined speed (e.g., 20 km / h) from the start of the start and the average acceleration up to three seconds after the start of the start. Furthermore, the change amount calculation unit 302 may calculate the average acceleration from three seconds before the end of the start of the start to the end of the start, the difference between the average acceleration of the acceleration three seconds after the start of the start and the acceleration three seconds before the end of the start and the daily average acceleration, and the time lag (creep period) from the start of the start to the accelerator operation. The accelerator operation evaluation unit 303 uses these calculated values to evaluate the accelerator operation. Among these, the time required to reach the predetermined speed from the start of the start may be particularly important in evaluating the accelerator operation. Here, the end of the start refers to the earlier of the time when the speed reaches 20 km / h or the time when the maximum speed is first reached within 10 seconds of the start of the start.
[0038] The driving information includes the vehicle type and the type of energy source, and the accelerator operation evaluation unit 303 may further take the vehicle type into account when evaluating the accelerator operation. That is, the accelerator operation evaluation unit 303 may adjust the score evaluation criteria based on the vehicle type, engine displacement, or both included in the driving information. That is, even if the accelerator change amount per unit time is the same, a driver of a heavy vehicle and a low-engine vehicle may be evaluated higher than a driver of a light vehicle and a high-engine vehicle. Specifically, for example, if the same accelerator opening change takes three seconds, the score may be adjusted so that a vehicle weighing one ton receives half the score of a vehicle weighing ten tons. The accelerator operation may be scored based on its effect on actual vehicle speed change. This is because safe driving ultimately depends on how the vehicle operated. The accelerator operation evaluation unit 303 may determine whether the vehicle is starting and evaluate the accelerator operation at the time of starting.
[0039] The notification unit 304 notifies the driver of the evaluation results evaluated by the accelerator operation evaluation unit 303. The notification to the driver may be made after each call operation or after each trip is completed. Furthermore, the evaluations for the day may be displayed together when the day's trip is completed.
[0040] The emission amount calculation unit 305 calculates the amount of greenhouse gas (e.g., CO2) emissions using the energy consumption data acquired by the driving information acquisition unit 301. At this time, it is desirable to calculate the amount of greenhouse gas emissions taking into account the type of energy source, because the relationship between energy consumption and greenhouse gas emissions differs depending on the type of energy source (including regular gasoline, high-octane gasoline, diesel, LPG, hydrogen, electricity, etc.).
[0041] Specifically, for example, if the travel information includes the amount of gasoline or LPG consumed, or if the amount of gasoline or LPG consumed can be calculated using the travel information, the amount of greenhouse gases generated by the combustion of gasoline or LPG is calculated, and the amount of greenhouse gases generated up to the time the gasoline or LPG is supplied to the vehicle may be added to this amount.
[0042] On the other hand, in cases where the driving information includes power consumption, such as in the case of an electric vehicle, or where power consumption can be calculated using the driving information, the amount of greenhouse gases generated to generate that power is calculated.
[0043] It is desirable that the emission calculation unit 305 further calculates the greenhouse gas emission amount by taking into account the vehicle type included in the driving information. This is because the relationship between energy consumption and emission amount differs for each vehicle type. The notification unit 304 may further notify the greenhouse gas emission amount calculated by the emission calculation unit 305. This is because some drivers are highly aware of greenhouse gas emission amount.
[0044] The transmission unit 306 links the accelerator operation evaluation and greenhouse gas emissions for a certain period of time and transmits them to a predetermined server. In other words, the transmission unit 306 transmits to the predetermined server an image indicating that the higher the accelerator operation evaluation, the more greenhouse gas emissions can be reduced. This makes it clear that training drivers to improve their accelerator operation evaluation leads to reduced greenhouse gas emissions, and raises awareness among companies and local governments of the importance of accelerator training, which ultimately leads to the prevention of global warming.
[0045] The transmission unit 306 may further link the accelerator operation evaluation and greenhouse gas emissions over a certain period to the number of accidents over that period. In this case, the relationship between the accelerator operation evaluation and the number of accidents may be notified to drivers, companies, and local governments. This is because it increases drivers' motivation to press the accelerator slowly, and it makes clearer the benefits of introducing accelerator training for companies and local governments.
[0046] 4 is a diagram showing an example of an evaluation table 401 included in the smartphone 200. The evaluation table 401 stores driver identification information 411, driving information 412, various amounts of change 413, evaluation scores 414, and emissions 415. The evaluation table 401 may also store the number of accidents 416, etc.
[0047] The driving information 412 is information about the vehicle, such as the vehicle type, energy source, and energy consumption, acquired by the driving information acquisition unit 301. The various change amounts 413 may include the accelerator change amount per unit time, and the accelerator change amount when the vehicle starts and the accelerator change amount while the vehicle is traveling may be stored separately.
[0048] In addition to the vehicle speed and acceleration, the various change amounts 413 may store the time from when the vehicle starts moving until it reaches a predetermined speed, the average acceleration immediately after the start of moving (3 seconds), the average acceleration immediately before the end of moving, the difference between the average value of the acceleration immediately after the start of moving and the acceleration immediately before the end and the daily average acceleration, and the time lag from when the vehicle starts moving until the accelerator pedal is operated, all of which are calculated by the change amount calculation unit 302. The various change amounts 413 may further store a change amount for evaluating the accelerator pedal operation while driving.
[0049] The evaluation score 414 is a score indicating the evaluation of the accelerator operation calculated by the accelerator operation evaluation unit 303. The greenhouse gas emission amount 415 is data indicating the greenhouse gas emission amount calculated by the emission calculation unit 305. The number of accidents 416 is the number of accidents detected from a drive recorder or acceleration data, or the number of accidents provided by a non-life insurance company. In addition to the number of actual accidents, the number of incidents (near misses) that did not result in an accident but could have led to an accident may also be recorded.
[0050] FIG. 5 is a diagram showing the hardware configuration of smartphone 200. CPU (Central Processing Unit) 510 is a processor for arithmetic control, and executes programs to realize the functional components of smartphone 200 in FIG. 3. ROM (Read Only Memory) 520 stores fixed data such as initial data and programs, as well as other programs. Note that CPU 510 is not limited to one, and may be multiple CPUs, or may include a GPU (Graphics Processing Unit) for image processing.
[0051] The network interface 530 communicates with other devices via a network. The network interface 530 preferably has a CPU independent of the CPU 510 and writes or reads transmitted or received data to or from an area of a random access memory (RAM) 540. It is also preferable to provide a direct memory access controller (DMAC) (not shown) that transfers data between the RAM 540 and the storage 550. The input / output interface 560 preferably has a CPU independent of the CPU 510 and writes or reads input / output data to or from an area of the RAM 540. Therefore, the CPU 510 processes the data after recognizing that data has been received or transferred to the RAM 540. The CPU 510 prepares the processing results in the RAM 540, and leaves subsequent transmission or transfer to the network interface 530, the DMAC, or the input / output interface 560.
[0052] The RAM 540 is a random access memory used by the CPU 510 as a work area for temporary storage. The RAM 540 has an area reserved for storing data necessary for implementing this embodiment. The driving information 541 is data related to the vehicle, such as the accelerator opening and speed of the vehicle. The various change amounts 542 are, for example, data related to the calculated accelerator change amount per unit time. The evaluation result 544 is data related to the evaluation result of the driver's accelerator operation. The emission amount 545 is greenhouse gas emission data. These data are, for example, data expanded from the evaluation table 401. The RAM 540 also has an application execution area 547 for executing various application modules.
[0053] The storage 550 stores a database, various parameters, or the following data or programs required to implement this embodiment. The storage 550 stores an evaluation table 401. The storage 550 further stores a driving information acquisition module 551, a various change amount calculation module 552, an accelerator operation evaluation module 553, a notification module 554, an emission amount calculation module 555, and a start-up determination module 556.
[0054] The driving information acquisition module 551 is a module that acquires driving information such as the accelerator opening and speed of the vehicle. The various change amount calculation module 552 is a module that calculates, for example, the accelerator change amount per unit time of the vehicle. The accelerator operation evaluation module 553 is a module that evaluates the accelerator operation of the driver based on the various change amounts. The notification module 554 is a module that notifies the driver of the evaluation result of the accelerator operation. The emission amount calculation module 555 is a module that determines the greenhouse gas emission amount from the driving information. The start time determination module 556 is a module that determines whether the vehicle is starting or not. In addition, an accident determination module may be provided. These modules 551 to 556 are read into the application execution area 547 of the RAM 540 by the CPU 510 and executed. The control program 557 is a program for controlling the entire smartphone 200.
[0055] The input / output interface 560 interfaces input / output data with input / output devices. A display unit 561 and an operation unit 562 are connected to the input / output interface 560. A storage medium 564 may also be connected to the input / output interface 560. A speaker 563 serving as an audio output unit, a microphone serving as an audio input unit, or a GPS position determination unit may also be connected. Note that the RAM 540 and storage 550 shown in FIG. 5 do not include programs or data related to the general-purpose functions of the smartphone 200 or other feasible functions.
[0056] 6 is a flowchart illustrating a processing procedure of the smartphone 200. This flowchart is executed by the CPU 510 using the RAM 540, and realizes the functional components of the smartphone 200 in FIG.
[0057] In step S601, the smartphone 200 acquires vehicle travel information. In step S603, the smartphone 200 determines whether the vehicle is starting to move. If the vehicle is not starting to move (NO in step S603), the smartphone 200 returns to step S601. If the vehicle is starting to move (YES in step S603), the smartphone 200 proceeds to step S605.
[0058] In step S605, smartphone 200 calculates the amount of change in accelerator opening per unit time of the vehicle, etc. Here, instead of the amount of change in accelerator opening per unit time of the vehicle, the amount of change in the vehicle's speed and acceleration, etc., may be used to evaluate the accelerator operation. The smartphone 200 calculates the time from the start of the vehicle's departure to a predetermined speed (e.g., 20 km / h), the average acceleration up to 3 seconds after the start of the vehicle's departure, the average acceleration from 3 seconds before the end of the vehicle's departure to the end of the vehicle's departure, the difference between the average acceleration for 3 seconds after the start of the vehicle and the acceleration for 3 seconds before the end of the vehicle's departure and the daily average acceleration, and the time lag (creep period) from the start of the vehicle to the accelerator operation.
[0059] In step S607, smartphone 200 evaluates the driver's accelerator operation based on various variations. In particular, the accelerator operation is evaluated with emphasis on the elapsed time from the start of the vehicle to a predetermined speed. In step S609, smartphone 200 notifies the driver of the evaluation result of the accelerator operation. In step S611, smartphone 200 calculates the amount of greenhouse gas emissions based on the driving information. In step S613, smartphone 200 links the evaluation result of the accelerator operation to the amount of greenhouse gas emissions and transmits the result to a pre-registered server.
[0060] Although the process is shown as continuous, it is desirable to evaluate and notify the accelerator operation and calculate and transmit greenhouse gas emissions at different times, intervals, and frequencies. For example, the accelerator operation may be evaluated and notified to the driver every hour, while the greenhouse gas emissions may be calculated and transmitted to the server once a day, once a week, or once a month. This is because the frequency of driver education and training differs from the period of data that companies and local governments want to view.
[0061] Fig. 7 is a table showing the relationship between accelerator scores as an evaluation result of accelerator operation and greenhouse gas emissions per unit driving distance (for example, 30 km), and Fig. 8 shows the relationship between changes in accelerator operation evaluation and greenhouse gas emissions in graph 801. The graph shows a comparison of CO2 emissions when the accelerator operation evaluation is improved and when it is not. By storing data such as that shown in Figure 7 in server 220, it becomes possible to display the data shown in Figure 8 on the server 220 side, and it is possible to show companies and the like that CO2 emissions per unit distance traveled can be reduced by training on accelerator operation and making it a habit to operate the accelerator slowly.
[0062] According to this embodiment, the driver can realize safe driving and fuel-efficient driving, and companies can benefit from CO2 reduction. It also reduces accidents caused by sudden acceleration when the vehicle departs. Since sudden acceleration of the vehicle can be reduced, a sufficient distance can be maintained between the vehicle and the vehicle in front, reducing rear-end collisions and preventing stones from being thrown from the vehicle in front. Furthermore, since sudden acceleration of the vehicle can be reduced, fuel efficiency is also improved. In particular, in these days when brake deterioration in heavy electric vehicles has become a problem, accelerator training can eliminate sudden acceleration and deceleration, thereby suppressing brake deterioration. Since the accelerator is not pressed, noise problems caused by engine noise can be reduced.
[0063] Although the embodiment in which all functions are realized by an application on smartphone 200 has been described above, the functions may be shared between smartphone 200 and a server on a network. For example, the scope of the present invention also includes a server that provides an information processing system as a whole and includes: a driving information acquisition unit that acquires vehicle driving information; an accelerator operation evaluation unit that performs an accelerator operation evaluation specific to the accelerator operation of the vehicle driver based on the driving information; an emission calculation unit that calculates greenhouse gas emissions based on the energy consumption included in the acquired driving information; and a linking unit that links the accelerator operation evaluation and greenhouse gas emissions over a certain period of time.
[0064] [Third embodiment] Next, a third embodiment of the present invention will be described with reference to FIG. 9. The information processing system 900 shown in FIG. 9 differs from the second embodiment in that it additionally includes an accident determination unit 901. The accident determination unit 901 determines an accident or near miss, links it to an evaluation of accelerator operation, and notifies users and companies, thereby more effectively raising awareness of the importance of accelerator training and improving the effectiveness of accelerator operation and greenhouse gas reduction. In this embodiment, it is desirable to superimpose a graph showing the transition in the number of accidents and near misses on the graph in FIG. 8.
[0065] [Fourth embodiment] Next, a fourth embodiment of the present invention will be described with reference to Fig. 10. An information processing system 1000 shown in Fig. 10 differs from the second embodiment in that it additionally includes a reward providing unit 1001 and a reward calculation unit 1002.
[0066] The reward provision unit 1001 provides a reward to the driver according to the accelerator operation evaluation. The reward calculation unit 1002 calculates the reward based on the greenhouse gas emissions. In this way, the driver can receive a reward according to the greenhouse gas emissions, and companies, local governments, the country, etc. can provide the driver with a reward according to the benefits brought about by the reduction of greenhouse gas emissions, making it possible to provide an extremely excellent system.
[0067] [Other embodiments] Although the present invention has been described above with reference to the embodiments, the present invention is not limited to the above embodiments. Various modifications can be made to the configuration and details of the present invention that are understandable to those skilled in the art within the technical scope of the present invention. Furthermore, systems or devices that combine the separate features included in each embodiment in any manner are also included in the technical scope of the present invention.
[0068] The present invention may also be applied to a system consisting of multiple devices or to a single device. Furthermore, the present invention may also be applied when an information processing program that realizes the functions of the embodiments is supplied to a system or device and executed by a built-in processor. The technical scope of the present invention also includes a program installed on a computer to realize the functions of the present invention, a medium storing the program, a server from which the program is downloaded, and a processor that executes the program. In particular, the technical scope of the present invention includes at least a non-transitory computer-readable medium storing a program that causes a computer to execute the processing steps included in the above-described embodiments.
Claims
1. a travel information acquisition unit that acquires travel information of a vehicle; an accelerator operation evaluation unit that performs an accelerator operation evaluation specific to accelerator operation among operations by the driver of the vehicle based on the acquired driving information; a notification unit that notifies the driver of the accelerator operation evaluation; an emission calculation unit that calculates greenhouse gas emissions based on the energy consumption included in the acquired driving information; a linking unit that links the accelerator operation evaluation and the greenhouse gas emissions for a certain period of time; An information processing system comprising:
2. The information processing system according to claim 1 , further comprising a transmission unit that transmits to a predetermined server an image indicating that the higher the accelerator operation evaluation, the more the greenhouse gas emissions can be reduced.
3. a reward providing unit that provides a reward to the driver in accordance with the accelerator operation evaluation; a remuneration calculation unit that calculates the remuneration based on the greenhouse gas emissions; 3. The information processing system according to claim 1, further comprising:
4. The driving information includes a vehicle type and a type of energy source, the accelerator operation evaluation unit further performs the accelerator operation evaluation taking into account the vehicle type, The information processing system according to claim 1 , wherein the emission calculation unit further takes into account the vehicle type and the type of energy source when calculating the greenhouse gas emission amount.
5. The information processing system according to claim 1 , wherein the notification unit further notifies the amount of greenhouse gas emissions.
6. The information processing system according to claim 1 , wherein the linking unit further links the accelerator operation evaluation and the greenhouse gas emissions for a certain period of time with the number of accidents for the certain period of time.
7. 2. An information processing program for providing the information processing system according to claim 1, comprising: a travel information acquisition unit that acquires travel information of a vehicle; an accelerator operation evaluation unit that performs an accelerator operation evaluation specific to an accelerator operation among operations by the driver of the vehicle based on the driving information; a notification unit that notifies the driver of the accelerator operation evaluation; An information processing program that functions as a
8. A server for providing the information processing system according to claim 1, a travel information acquisition unit that acquires travel information of a vehicle; an accelerator operation evaluation unit that performs an accelerator operation evaluation specific to an accelerator operation among operations by the driver of the vehicle based on the driving information; an emission calculation unit that calculates greenhouse gas emissions based on the energy consumption included in the acquired driving information; a linking unit that links the accelerator operation evaluation and the greenhouse gas emissions for a certain period of time; A server with
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