JP2024504221A - Rental car operation system using connected cars - Google Patents

Abstract

[Problem] To provide a rental car operation system. [Solution] The present invention provides traffic information, vehicle accident and abnormality information using rental car driving information, and oil cost by configuring a rental car with connected cars and collecting driving information of the rental car. This invention relates to a rental car operation system using connected cars that enables the provision of various information such as filing of fines, provision of sightseeing routes and store information, network diagnosis with rental cars, and efficient rental car operation. [Selection diagram] Figure 2

Description

The present invention relates to a rental car operation system, and more specifically, the present invention relates to a rental car operation system, and more specifically, by configuring rental cars with connected cars and collecting rental car driving information, traffic information using rental car driving information, vehicle accidents and abnormalities can be obtained. Using connected cars, it provides a variety of information such as providing information, claiming oil fees and penalty fees, providing sightseeing routes and store information, and diagnosing networks with rental cars, as well as enabling efficient rental car operations. Regarding the rental car operation system.

A connected car is a car that can be connected to the Internet by combining automobiles and IT technology, and can wirelessly connect with other vehicles or traffic and communication infrastructure to provide danger warnings, real-time navigation, remote vehicle control, and other functions. In addition to this, technology has evolved to provide email, multimedia streaming, and social network services (SNS).

In the future, it is expected to evolve into services such as autonomous driving, automatic vehicle charging, and services that check the driver's health status and blood alcohol concentration to check whether or not he or she can drive. development is being carried out continuously.

On the other hand, in tourist areas, it is common to rent a car for the convenience of sightseeing, use it for a certain period of time, and then return it, especially on islands such as Jeju Island and tourist areas where public transportation is inconvenient. Rental cars are essential.

Therefore, when applying connected cars to rental cars used at sightseeing spots, it becomes possible to manage rental cars that are difficult to manage, and by collecting various travel information for rental cars, rental car users can be provided with various information useful for sightseeing. could be provided.

Korean Publication Patent No. 10-2018-0105503

The present invention has been made in order to solve the above-mentioned problems, and its purpose is to configure rental cars with connected cars and collect driving information of rental cars. The purpose of the present invention is to provide a rental car operation system that enables the provision of diverse information and efficient rental car operation.

An object of the present invention is to provide a rental car operation system that can provide accurate traffic information by reflecting the actual traveling speed of a rental car.

The present invention enables traffic information to be calculated by removing information about vehicles that are turned off or stopped for a certain period of time or vehicles that deviate from the travel route when providing traffic information by a rental car. The purpose of the present invention is to provide a rental car operation system that can improve the accuracy of information.

The present invention provides a rental car operation that can improve the accuracy of traffic information provided by an external system by comparing traffic information obtained using a rental car with traffic information provided by an external system and diagnosing errors therebetween. The purpose is to provide a system.

An object of the present invention is to provide a rental car operation system that enables quick response to an accident by monitoring the impact of the rental car to detect an accident.

The present invention is a rental car operation system that checks the response of a rental car user when an impact exceeds a certain level, even if the impact is not as severe as an accident, and enables quick response to accidents and vehicle abnormalities with little impact. The purpose is to provide

The present invention provides a rental car operation system that enables efficient management of rental cars by responding to abnormal vibrations caused by vehicle abnormalities by recognizing and notifying even when weak shocks occur continuously. The purpose is to

The present invention analyzes the correlation between the operation status of each rental car and fuel consumption, and uses the analyzed correlation to automatically calculate and bill the rental car user's oil costs due to vehicle operation. The purpose of the present invention is to provide a rental car operation system that can reduce disputes and inconveniences regarding rental car oil costs.

The present invention provides convenience for users by allowing refueling to be carried out using a card installed in a rental car, and points are awarded to the user according to the price at which the rental car user refuels. The purpose of the present invention is to provide a rental car operation system that can reduce oil costs.

The present invention automatically detects the possibility of enforcement due to violation of traffic laws in accordance with the operation of a rental car and secures fines in advance, so that fines can be imposed quickly and smoothly. The purpose is to provide a rental car operation system that can protect the interests of users by automatically refunding fines if it is found that the violation has not been carried out. .

The present invention aims to provide a rental car operation system that can improve the convenience of sightseeing using a rental car by analyzing the operation route of a rental car user and recommending a sightseeing route. purpose.

The present invention analyzes product purchase information and preference information for each location in the area where the rental car is used, selects a location with a high purchase index on the route recommended for the rental car, and provides the selected location to the mobile store operator. The purpose of the present invention is to provide a rental car operation system that can increase users' satisfaction with purchasing tourism products and increase the sales rate of local tourism product sellers.

An object of the present invention is to provide a rental car operation system that allows smooth collection of information from rental cars by diagnosing network abnormalities with rental cars and taking prompt action.

In order to achieve the above object, the present invention is realized by an embodiment having the following configuration.

According to an embodiment of the present invention, the rental car operation system according to the present invention includes a rental car that is rented by a user for a certain period of time, used and returned by a user, and that measures and transmits operational information regarding the vehicle, and that searches for the rental car. A user terminal that selects a rental car to be used and receives information regarding the rental car; and an operation that communicates with the user terminal and the rental car to conclude a usage contract for the rental car, and receives operation information measured by the rental car. A server, the operation server is characterized in that it analyzes operation information measured by a rental car and provides information necessary for operation of the rental car.

According to another embodiment of the present invention, in the rental car operation system according to the present invention, the operation server includes a vehicle information collection unit that collects rental car operation information, and a vehicle information collection unit that collects rental car operation information, and analyzes traffic information using the collected operation information. a traffic information providing unit that provides information on the movement of rental cars for each section of the road, and a movement information collection module that collects movement information of rental cars for each section of the road; a speed calculation module; a speed information purification module that removes speed information of rental cars with excessively low or high moving speeds; an average speed calculation module that calculates the average speed of rental cars for each section; A traffic congestion level display module that calculates and displays the traffic congestion level using a navigation system, and a route automatic reflection module that automatically reflects the traffic congestion level on a travel route guided through navigation to update the route. do.

According to another embodiment of the present invention, in the rental car operation system according to the present invention, the traffic information providing unit includes a filtering module that removes rental car information that becomes noise in calculating the moving speed for each section, and the filtering module includes a start time determination module that removes information on rental cars whose start has been turned off for a certain period of time, a stop time determination module that removes information on rental cars that have stopped for a certain period of time even when the start has been turned on, and a stop time determination module that removes information on rental cars that have stopped for a certain period of time even when the start has been turned on. and a travel route determination module that removes information on rental cars that have routes that deviate from the route.

According to another embodiment of the present invention, in the rental car operation system according to the present invention, the operation server is configured to optimize traffic information by an external system using the traffic information analyzed by the traffic information providing unit. The traffic information optimization unit includes an external traffic information collection module that collects external traffic information, and a traffic information comparison module that compares the external traffic information with a result analyzed by the traffic information provision unit. If the external traffic information and the traffic information analyzed by the traffic information provider differ by more than a certain degree, there is a video discrimination module that allows the presence or absence of an accident to be confirmed using the video of the vehicle, and if the accident cannot be confirmed from the video. , an abnormality information generation module that generates abnormality information in traffic information, an abnormality count calculation module that calculates the number of times abnormality information occurs, and when the number of times abnormality information occurs for a certain period of time exceeds a standard value, traffic information by rental car is generated. and an anomaly information providing module that provides the information and reflects it on an external traffic information system.

According to another embodiment of the present invention, in the rental car operation system according to the present invention, the operation server includes an impact monitoring unit that monitors an impact of the rental car, and the impact monitoring unit includes a constant The present invention is characterized in that it includes an impact information receiving module that receives vibration information exceeding a certain level as impact information, and an accident determination module that determines that an accident has occurred and notifies the driver when the impact generated on the rental car exceeds a certain level.

According to another embodiment of the present invention, in the rental car operation system according to the present invention, if an impact of the rental car occurs within a certain range below an impact that is determined to be an accident, the impact monitoring unit confirms this and takes measures. The danger recognition module includes a danger shock detection module that detects a dangerous shock within a certain range below an impact that is determined to be an accident; a confirmation signal transmission module that sends a signal to the rental car to confirm the situation, a response signal confirmation module that recognizes a dangerous situation if a response to the confirmation signal is not received within a certain period of time, and an emergency signal confirmation module that recognizes the situation as dangerous. An emergency dispatch instruction module for instructing dispatch.

According to another embodiment of the present invention, in the rental car operation system according to the present invention, the impact monitoring unit detects the impact of the rental car if the impact of the rental car is not recognized as a dangerous impact but continues within a certain range below. It includes an abnormality confirmation module that determines an abnormality and notifies the user of the abnormality, and the abnormality confirmation module includes an impact information storage module that stores information regarding impacts within a certain range below a dangerous impact, and calculates the frequency at which the impact within a certain range is repeated. A repetition frequency calculation module, a reference value comparison module that compares the calculated frequency with a reference value, a continuous number calculation module that calculates the number of times that an impact with a frequency exceeding the reference value occurs consecutively, and a If the number of times exceeds the number of times, the present invention is characterized by including an abnormality notification module that notifies the rental vehicle of an abnormality.

According to another embodiment of the present invention, in the rental car operation system according to the present invention, the operation server includes an oil cost calculation unit that automatically calculates the oil cost of the rental car and charges the user. The related fee calculation unit includes a correlation analysis module that analyzes the correlation between the operating status and fuel consumption of each rental car, and an operation information reception module that receives operation information during the rental period of the rental car for which oil fees are to be claimed. and an oil cost calculation module that calculates oil costs by inputting operation information into the correlation analyzed by the correlation analysis module, and automatically charges the calculated oil costs to the user when returning the rental car. an automatic oil billing module, the correlation analysis module includes an operation information loading module that reads starting information, speed information, and acceleration/deceleration information of a rental car; a refueling information loading module that reads refueling information for the rental car; The present invention is characterized in that it includes a correlation derivation module that derives a correlation between operation information and fuel consumption for each rental car.

According to another embodiment of the present invention, in the rental car operation system according to the present invention, the operation server includes an oil cost discount unit that provides a discount on the oil cost according to the fuel unit price by the rental car user. , the oil cost discount section includes a refueling unit price loading module that reads refueling unit price information from the refueling information that the user has refueled, and a unit price information that collects the oil unit price information of the area where the rental car is used when the user refuels. a collection module; a standard unit price setting module that sets the average value of oil unit prices collected by the unit price information collection module as a standard unit price; and a standard unit price setting module that calculates an oil cost savings ratio based on the difference between the user's refueling unit price and the standard unit price. A savings ratio calculation module, a fueling point calculation module that calculates fueling points by multiplying the savings ratio by the user's fueling amount, and a fueling point calculation module that automatically deducts and reflects the calculated fueling points against the oil cost that the user should pay. and an automatic oil cost deduction module.

According to another embodiment of the present invention, in the rental car operation system according to the present invention, the operation server includes a penalty calculation unit that automatically reflects traffic law violation information of the rental car user and charges a penalty in advance. , the fine calculation unit includes a location information loading module that reads location information of a rental car, a speed information loading module that reads speed information, an enforcement location collection module that collects vehicle enforcement location information, and a speeding violation at the enforcement location. , a violation judgment module that determines whether or not there are violations of traffic regulations such as prohibition of parking, prohibition of cutting in, prohibition of using bus-only lanes, etc., and a violation judgment module that determines whether or not traffic regulations are violated, such as prohibition of parking or stopping, prohibition of cutting in, and prohibition of using bus-only lanes. There is a fines calculation module that calculates the fines, an automatic fines billing module that adds the fines to the user's oil expenses and charges them, and a fines billing module that reflects the actual enforcement situation and calculates the fines that are charged in the case of no enforcement. The present invention is characterized in that it includes a penalty money refund module that automatically returns the penalty money.

According to another embodiment of the present invention, in the rental car operation system according to the present invention, the operation server includes a tourist route providing unit that analyzes a travel route of a rental car user and recommends a tourist route, and the tourist route providing unit includes a user information collection module that collects information about the age, gender, and nationality of rental car users, a weather information collection module that collects weather information when using a rental car, and a timing information collection module that collects information about the timing of rental car usage. A retention information collection module that collects information on the rental car user's retention location based on the rental car operation route, a correlation analysis module that analyzes the correlation between user, weather, and season information and the retention location, and a rental car information collection module that analyzes the correlation between the user, weather, and season information and the rental location. A recommended route providing module that provides a recommended sightseeing route to a user.

According to another embodiment of the present invention, in the rental car operation system according to the present invention, the operation server analyzes product purchase information according to the travel route of the rental car user and recommends locations of mobile stores for tourists. a purchase analysis module that analyzes purchase information of products by region; and a purchase analysis module that recommends and provides the location of the mobile store based on the analysis result of the purchase analysis module. the purchase analysis module includes a location information input module that inputs location information of the area where the rental car is used, and a purchase information analysis module that analyzes purchase information for a specific product group at each location. , a preference information analysis module that analyzes preference information for a specific product group purchased at each location, and a purchase index calculation module that calculates a purchase index based on the degree of purchase and preference for a specific product group at each location based on the travel route. The location recommendation module includes a product information input module that inputs information about a product group for which a mobile store is to be installed, and a recommended route loading module that reads information about a travel route recommended to a rental car user by the sightseeing route providing unit. A purchasing index comparison module that compares the purchasing index by location of the recommended route during a unit period, and recommends the location of the store to be moved to a location with a high purchasing index considering the number of visits by location by the recommended route. A recommended location providing module.

According to another embodiment of the present invention, in the rental car operation system according to the present invention, the operation server includes a network diagnosis unit that transmits a confirmation signal to the rental car at regular time intervals to diagnose communication abnormality with the rental car, The network diagnosis section includes a failure detection section that determines a communication failure when a response to the confirmation signal is not received at a certain frequency or more, and the failure detection section includes a confirmation signal transmission module that transmits a confirmation signal to the rental car at certain time intervals. , a response signal receiving module that receives a response signal to the confirmation signal, an unreceived frequency calculation module that calculates the frequency at which a response signal is not received at a fixed unit time interval, and a failure when the unreceived frequency exceeds a reference value. and a failure determination module that determines and notifies the user.

According to another embodiment of the present invention, in the rental car operation system according to the present invention, the network diagnostic unit may maintain the frequency of non-reception of the response signal within a certain range, even if the frequency of non-reception of the response signal is not detected as a failure. In this case, the system includes an abnormality diagnosis unit that determines that the network performance has deteriorated and notifies the user of this, and the abnormality diagnosis unit recognizes that the frequency of not receiving response signals reaches a dangerous range below the frequency at which a failure is detected. A danger range recognition module that calculates the number of times the danger range lasts, a duration calculation module that calculates the number of times the danger range lasts, a reference value comparison module that compares the number of durations with a reference value, and a module that determines that performance has deteriorated if the number of durations exceeds the reference value. and an inspection notification instruction module for notifying this.

According to another embodiment of the present invention, in the rental car operation system according to the present invention, the network diagnosis section detects an emergency abnormality in the network even before it is diagnosed as a failure or performance degradation by the failure detection section or the abnormality diagnosis section. The emergency notification unit includes a non-response information receiving module that receives non-response information, a continuous number calculation module that calculates the number of consecutive non-responses, and a continuous number calculation module that calculates the number of consecutive non-responses. The present invention is characterized in that it includes an emergency abnormality transmitting module that determines and notifies an emergency abnormality when a predetermined value is exceeded.

The present invention can obtain the following effects through the present embodiment and the configuration, combination, and usage relationship described below.

The present invention has the effect of making it possible to provide a variety of information using rental car travel information and to efficiently operate a rental car by configuring a rental car with connected cars and collecting travel information of the rental car. .

The present invention has the effect of making it possible to provide accurate traffic information by providing traffic information that reflects the actual traveling speed of a rental car.

The present invention enables traffic information to be calculated by removing information about vehicles that are turned off or stopped for a certain period of time or vehicles that deviate from the travel route when providing traffic information by a rental car. This has the effect of increasing the accuracy of information.

The present invention has the effect that the accuracy of the traffic information provided by the external system can be improved by comparing the traffic information obtained using a rental car with the traffic information provided by the external system and diagnosing the error. There is.

INDUSTRIAL APPLICABILITY The present invention has the effect of enabling prompt response to an accident by monitoring the impact of a rental car to detect an accident.

The present invention has the effect that even if the impact is not as great as an accident, the response of the rental car user is checked when the impact exceeds a certain level, so that a quick response can be made even to an accident with a small impact or an abnormality in the vehicle. be.

The present invention has the effect of making it possible to efficiently manage rental cars by responding to abnormal vibrations caused by vehicle abnormalities by recognizing and notifying even when a weak impact occurs continuously.

The present invention analyzes the correlation between the operation status of each rental car and fuel consumption, and uses the analyzed correlation to automatically calculate and bill the rental car user's oil costs due to vehicle operation. This has the effect of reducing disputes and inconveniences regarding rental car oil fees.

The present invention provides convenience for users by allowing refueling to be carried out using a card installed in a rental car, and points are awarded to the user according to the price at which the rental car user refuels. This has the effect of reducing oil costs.

The present invention automatically detects the possibility of enforcement due to violation of traffic laws in accordance with the operation of a rental car and secures fines in advance, so that fines can be imposed quickly and smoothly. This has the effect of making it possible to protect the interests of users by automatically refunding fines if it is found that the violation has not been carried out.

The present invention has the effect of increasing the convenience of sightseeing using a rental car by analyzing the driving route of a rental car user and recommending a sightseeing route.

The present invention analyzes product purchase information and preference information for each location in the area where the rental car is used, selects a location with a high purchase index on the route recommended for the rental car, and provides the selected location to the mobile store operator. This has the effect of increasing users' satisfaction with purchasing tourism products and increasing the sales rate of local tourism product sellers.

The present invention has the effect of smoothly collecting information from rental cars by diagnosing network abnormalities with rental cars and taking prompt action.

1 is a configuration diagram of a rental car operation system using a connected car according to an embodiment of the present invention. FIG. 2 is a block diagram showing the configuration of the management server in FIG. 1. FIG. FIG. 3 is a block diagram showing the configuration of a vehicle information collection section in FIG. 2. FIG. 3 is a block diagram showing the configuration of a traffic information providing section in FIG. 2. FIG. 3 is a block diagram showing the configuration of a traffic information optimization section in FIG. 2. FIG. FIG. 3 is a block diagram showing the configuration of an impact monitoring section. 7 is a block diagram showing the configuration of the danger recognition module of FIG. 6. FIG. 7 is a block diagram showing the configuration of the abnormality confirmation module of FIG. 6. FIG. FIG. 3 is a block diagram showing the configuration of an oil cost calculation section in FIG. 2. FIG. FIG. 3 is a block diagram showing the configuration of an oil cost discount section in FIG. 2. FIG. 3 is a block diagram showing the configuration of a penalty calculation unit in FIG. 2. FIG. 3 is a block diagram showing the configuration of a sightseeing route providing section in FIG. 2. FIG. FIG. 3 is a block diagram showing the configuration of a store information providing section in FIG. 2. FIG. FIG. 3 is a block diagram showing the configuration of a network diagnosis section in FIG. 2. FIG. FIG. 3 is a block diagram showing the configuration of an operation server according to another embodiment of the present invention. FIG. 16 is a block diagram showing the configuration of a price model determining section in FIG. 15. FIG. FIG. 16 is a block diagram showing the configuration of a price calculation unit in FIG. 15. FIG. 16 is a block diagram showing the configuration of a price adjustment section in FIG. 15. FIG. FIG. 16 is a block diagram showing the configuration of a vendor-specific provision section in FIG. 15; FIG. 16 is a block diagram showing the configuration of the cancellation and resale section of FIG. 15;

DESCRIPTION OF THE PREFERRED EMBODIMENTS Hereinafter, a preferred embodiment of a rental car operation system using a connected car according to the present invention will be described in detail with reference to the accompanying drawings. In explaining the present invention below, if it is determined that a detailed explanation of a known function or configuration may make the gist of the present invention unclear, the detailed explanation will be omitted. Throughout the specification, when a part is said to "include" a certain component, this does not mean that it excludes other components, and unless there is a specific statement to the contrary, this does not mean that it can further include other components. means. In addition, terms such as "...unit" and "...module" described in the specification mean a unit that processes at least one function or operation, and this includes hardware, software, and hardware. This can be achieved by combining it with software.

A rental car operation system using a connected car according to an embodiment of the present invention will be described with reference to FIGS. 1 to 14. A rental car 200 that measures and transmits information, a user terminal 300 that searches the rental cars 200 to select the rental car 200 to be used and receives information regarding the rental car, and communicates with the user terminal 300 and the rental car 200; The system includes an operation server 100 that allows a usage contract to be concluded for a rental car 200 and receives operation information measured by the rental car 200.

The rental car operation system according to the present invention allows a usage contract for a rental car 200 to be concluded through the operation server 100, and a rental car user can purchase a necessary rental car through a user terminal 300 connected to the operation server 100 through wired/wireless communication. Search for and select it to conclude the usage contract. In particular, the present invention makes it possible to form the rental car 200 with a connected car, collect various information about the rental car 200 via the operation server 100, manage the rental car 200 using the collected information, and It is possible to provide various necessary information. Therefore, the rental car 200 is configured to collect starting information, speed information, acceleration/deceleration information, position information, vibration information, refueling information, video information, etc. through various sensors, and the collected information is transferred to the operating server. 100. Further, the user terminal 300 can be a smartphone, a tablet, a PC, or other various devices capable of wired or wireless communication with the operation server 100, and can receive and display rental car 200 information from the operation server 100 and use it. It is possible to select a rental car 200, enter into a usage contract, and receive various information regarding the rental car 200.

The management server 100 is configured to communicate with the user terminal 300 and the rental car 200 by wire or wire, conclude a usage contract for the rental car 200, and manage and provide various information to the rental car 200. Various information measured from the rental car 200 can be collected and processed. The operation server 100 collects and stores information measured by the rental car 200 in real time, and can provide traffic information for each road through the operation information of the rental car 200. The traffic information of external traffic systems can also be optimized through . In addition, the operation server 100 can monitor the impact of the rental car 200 to detect accidents, abnormalities, etc., and can accurately calculate and bill oil costs through the operation information of the rental car 200. It is also possible to provide discounts for refueling, and to charge fines in advance for violations of traffic laws, so that fines can be quickly paid to rental cars. In addition, the management server 100 analyzes the travel route of the rental car 200 and recommends sightseeing routes that are frequently visited by users, and uses this information to recommend locations of mobile stores to businesses that sell tourism products. Communication between the rental car 200 and the management server 100 can be monitored to detect abnormalities and maintain smooth communication. For this purpose, the operation server 100 includes a vehicle information collection section 1, a traffic information provision section 2', a traffic information optimization section 3, an impact monitoring section 4, an oil cost calculation section 5, an oil cost discount section 6, and a traffic information provision section 2'. It can include a money calculation section 7, a sightseeing route providing section 8, a store information providing section 9, and a network diagnosis section 10.

The vehicle information collection unit 1 is configured to collect information measured by the rental car 200, and may collect and store information measured through various sensors of the rental car 200 in real time. can. The vehicle information collecting section 1 includes a starting information collecting module 11 that collects starting information of the rental car 200, a speed information collecting module 12 that collects speed information, an acceleration/deceleration information collecting module 13 that collects information regarding acceleration and deceleration, and position information. a vibration information collection module 15 that collects information regarding vibrations of the rental car 200, a refueling information collection module 16 that collects refueling information regarding refueling timing, refueling amount, refueling unit price, etc.; It may include a video information collection module 17 that collects video information captured through a box or the like.

The traffic information providing unit 2' is configured to provide traffic information regarding the road using the operation information of the rental car 200, and may provide information regarding the degree of traffic congestion on the road. The traffic information providing unit 2' can collect movement information of the rental car 200 for each section of the road, calculate its speed, analyze the degree of congestion for each section, and provide the information. Preferably, the navigation route of the rental car 200 can be automatically reflected in the analyzed traffic jam information and corrected. Further, the traffic information providing unit 2' removes information about the rental car 200 such as stopping in the middle or leaving the rental car 200 at a stopover point in each section of movement, and calculates the speed. , more accurate traffic information can be provided. For this purpose, the traffic information providing unit 2' includes a section movement information collection module 21, a filtering module 22, a movement speed calculation module 23, a speed information purification module 24, an average speed calculation module 25, a congestion degree display module 26, and a route An automatic reflection module 27 may be included.

The section-specific movement information collection module 21 is configured to collect information on the rental car 200 moving on each section of the road, and collects information such as the location, speed, and start of the rental car 200.

The filtering module 22 is configured to remove information that reduces the accuracy of calculation of traffic information for each section from among information about the rental car 200 moving in each section, and includes a start time determination module 221 and a stop time determination module. 222 and a moving route determination module 223.

The start time determination module 221 is configured to determine whether or not the start of the rental car 200 is turned off during movement in each section, and if the start of the rental car 200 is turned off for a certain period of time or more, the corresponding rental car is analyzed for traffic information. 200 information will not be reflected.

The stoppage time determination module 222 is configured to determine the time during which the rental car 200 is stopped while moving in each section, and when the rental car 200 is stopped for a certain period of time or more, it is determined that the rental car 200 has stayed at a specific position and the rental car is stopped. Exclude information from traffic analysis.

The travel route determination module 223 is configured to analyze the travel route of the rental car 200 that travels through each section, and removes information for vehicles that travel through each section but leave each section in the middle. In this way, inaccurate traffic information is prevented from being calculated.

The moving speed calculation module 23 is configured to calculate the moving speed of the rental car 200 for each section, and calculates the moving speed using the time to pass the starting point and the ending point of each section and the distance information of each section. can do.

The speed information purification module 24 is configured to remove noise from the speed of the rental car 200 calculated by the moving speed calculation module 23, and removes noise from the average speed of the rental car 200 by a certain degree or more, that is, if the speed is too low or too high. Make sure to remove speed information. Therefore, the speed information refining module 24 may receive incorrect information due to errors in the network, data, sensors, etc., or the filtering module 22 may not operate properly, and the incorrect information may be used as it is to calculate the moving speed. It is possible to improve the accuracy of traffic information by blocking traffic information.

The average speed calculation module 25 is configured to calculate the average moving speed of each section, and calculates the average value for the moving speed of the rental car 200. At this time, the average speed calculation module 25 removes inaccurate information using the filtering module 22 and the speed information purification module 24 so that the average speed can be calculated.

The congestion degree display module 26 is configured to display the degree of congestion for each section of the road, and sets the degree of congestion according to the average speed for each section in advance, and provides information on the set degree of congestion to the user. Make it visible. The traffic congestion level display module 26 may be displayed via the user terminal 300, but preferably, it may be displayed directly on the screen of the rental car 200.

The automatic route reflection module 27 is configured to automatically reflect the degree of traffic congestion displayed by the traffic congestion degree display module 26 in route guidance provided through the navigation of the vehicle. By updating the route, optimal route guidance can be performed without any separate operation.

The traffic information optimization unit 3 is configured to optimize the traffic information of an external traffic information system using the traffic information provided via the traffic information provision unit 2′, and optimizes the traffic information of the external traffic information system. By reflecting the traffic information analyzed through the external traffic information system on the external traffic information system, it is possible to improve the accuracy of the traffic information provided from the external traffic information system. Existing external traffic information systems analyze road congestion information using various sensors and images, but it is extremely difficult to accurately analyze congestion information for all sections of the road in real time. This is the reality. Therefore, the traffic information optimization unit 3 is configured to grasp the degree of traffic congestion through the operation information of a large number of rental cars 200 operated in real time, and to be able to reflect such information in the external transportation system. The accuracy of traffic information from external traffic systems can also be improved. To this end, the traffic information optimization unit 3 includes an external traffic information collection module 31, a traffic information comparison module 32, a video discrimination module 33, an abnormality information generation module 34, an abnormality number calculation module 35, and an abnormality information provision module 36. be able to.

The external traffic information collection module 31 is configured to collect traffic information from an external system, and receives traffic information in real time from an external server that analyzes traffic information, such as an existing National Police Agency.

The traffic information comparison module 32 is configured to compare the traffic information analyzed by the traffic information providing unit 2' and the traffic information collected by the external traffic information collection module 31, and compares traffic information for each section. Try to compare information regarding the degree.

The video discrimination module 33 is configured to check the video of the section where the error occurred when the comparison result by the traffic information comparison module 32 shows an error of more than a certain level, and the video discrimination module 33 is configured to check the video of the section where the error occurred. can be checked and determined. The video discrimination module 33 can check whether an accident has occurred, and preferably can automatically read the video to determine whether an accident has occurred, and in some cases can check the video. It is also possible to enter accident information manually.

The abnormality information generation module 34 is configured to generate abnormality information when no accident has occurred as a result of the confirmation by the video discrimination module 33, and generates information that there is an abnormality in the traffic information provided by the external traffic information system. do it like this.

The abnormality number calculation module 35 is configured to calculate the number of times abnormality information occurs, and stores the number of times abnormality information is generated by the abnormality information generation module 34 together with time information.

The abnormality information providing module 36 determines that if the number of occurrences of abnormality information calculated by the abnormality number calculation module 35 exceeds a reference number within a certain period of time, there is an error in the analysis of traffic information by the external traffic information system. This information is transmitted to an external traffic information system so that the external traffic information system can inspect the system and correct the analysis method.

The impact monitoring unit 4 is configured to monitor the impact occurring on the rental car 200, and senses the impact using vibration information collected from the rental car 200, thereby quickly recognizing the occurrence of an accident or abnormality in the rental car 200. be able to do so. In particular, the impact monitoring unit 4 can not only recognize an accident through an impact of a certain degree or more, but also monitor the situation regarding the rental car 200 when an impact within a dangerous range occurs even if the impact is not a certain degree or more. It is possible to confirm this and take measures to deal with it, and if an impact below the dangerous range continues to occur, it can be determined that there is an abnormality in the vehicle and measures can be taken to deal with it. To this end, the impact monitoring unit 4 may include an impact information receiving module 41, an accident determination module 42, a danger recognition module 43, and an abnormality confirmation module 44.

The impact information receiving module 41 is configured to receive impact information of the rental car 200, and when vibration of a certain level or more occurs in the rental car 200, it is recognized as an impact and information regarding this is received. Therefore, the shock information receiving module 41 recognizes only vibrations of a certain degree or more caused by accidents or vehicle abnormalities as shocks, excluding general vibrations, and transmits them to the operation server 100. The amount of data used can be reduced.

The accident determination module 42 is configured to determine that an accident has occurred in the rental car 200 when the impact occurring on the rental car 200 exceeds a certain level, and automatically and quickly takes measures such as emergency dispatch and reporting due to the occurrence of an accident. ensure that it is done.

The danger recognition module 43 is configured to recognize that the impact of the rental car 200 is not enough to be recognized as an accident, but that the impact will occur in a lower dangerous range, and that the impact in the dangerous range has occurred. A confirmation signal is sent to the rental car to check whether there is an abnormality or not, and if there is no response within a certain period of time, an emergency dispatch is made to confirm the abnormality. Therefore, the danger recognition module 43 performs emergency dispatch after checking for shocks that are not as severe as an accident but are in a lower danger range, thereby efficiently managing rental car abnormalities. can be done. In other words, the accident judgment module 42 recognizes only impacts above a certain level as an accident and causes emergency dispatch, thereby sensitively recognizing accidents and preventing the problem of excessive emergency dispatch. The danger recognition module 43 can be used to confirm the rental car even in the event of an impact in the lower dangerous range, and then make an emergency dispatch, thereby responding to situations such as minor accidents or health problems of the driver. Even if a situation arises, prompt action can be taken. To this end, the danger recognition module 43 may include a danger impact sensing module 431, a confirmation signal transmission module 432, a response signal confirmation module 433, and an emergency dispatch instruction module 434.

The dangerous impact sensing module 431 is configured to detect when the impact of the rental car 200 reaches a dangerous range below a certain level where it is determined to be an accident. To be able to recognize shocks in a dangerous range that may cause serious accidents, and take countermeasures against them.

The confirmation signal transmission module 432 is configured to transmit a confirmation signal to the rental car 200 when an impact in a dangerous range is detected, and transmits the confirmation signal by installing a separate notification device in the rental car 200 itself. Alternatively, a confirmation signal can be sent via the user terminal 300.

The response signal confirmation module 433 is configured to confirm a response signal in response to a confirmation signal, and transmits the response signal through a notification device installed in the rental car 200 itself, or transmits the response signal through the user terminal 300. and check whether a response signal is received within a certain period of time.

The emergency dispatch instruction module 434 is configured to determine that an abnormality has occurred in the rental car 200 and instruct emergency dispatch if a response signal is not received within a certain period of time after transmitting the confirmation signal. To enable quick response to unforeseen accidents, driver abnormalities, etc.

The abnormality confirmation module 44 is configured to sense that an abnormal impact occurs continuously due to abnormality in the vehicle, although there is no possibility of an accident occurring, and allows notification or inspection of the abnormality of the vehicle to be performed. . To this end, the abnormality confirmation module 44 may include an impact information storage module 441 , a repetition frequency calculation module 442 , a reference value comparison module 443 , a continuous frequency calculation module 444 , and an abnormality notification module 445 .

The impact information storage module 441 is configured to store information regarding an impact within a certain range below the dangerous range, and also stores information regarding the time of occurrence.
The repetition frequency calculation module 442 is configured to calculate the occurrence frequency of the impact stored by the impact information storage module 441, and allows it to be determined how often the impact occurs.

The reference value comparison module 443 is configured to compare the frequency of impact occurrence calculated by the repetition frequency calculation module 442 with a reference value, and sets the frequency of occurrence at which it can be determined that the vehicle is abnormal as the reference value. and compare them.

The continuous number calculating module 444 is configured to calculate the consecutive number of times that the frequency of impact repetition exceeds a reference value, and can detect that the impact occurs frequently and continuously.

The abnormality notification module 445 is configured to notify an abnormality of the vehicle when the frequency of impact repetition exceeds a reference value and the number of consecutive impacts exceeds a predetermined number of times, and only when the impact occurs frequently and continuously, an abnormality is reported. To detect and notify only the occurrence of an impact due to an abnormality of a vehicle, excluding the occurrence of an impact due to an error for more than a temporary period. The abnormality notification module 445 can notify the rental car of an abnormality so that the rental car can perform self-inspection and take precautions, and can also dispatch the rental car to perform an inspection. can.

The oil cost calculation unit 5 is configured to calculate the oil cost due to the operation of the rental car 200, and charges the user for the calculated oil cost when the rental car 200 is returned. The oil cost for the existing rental car 200 can be calculated using the vehicle's fuel gauge and paid, or the vehicle can be rented full of fuel and returned fully filled. We are trying to get paid in the form of However, the accuracy of calculating oil costs using a fuel gauge decreases, and even if you return the vehicle with a full tank of fuel, you must refuel only near the return location where the unit price for refueling is high. This is a situation where the inconvenience and dissatisfaction of rental car users is enormous. Therefore, recently, in vehicle sharing systems, a method is used in which refueling is performed through the operator's refueling card installed in the vehicle, and the fuel fee is automatically charged according to the distance traveled by the vehicle. There is. However, even in such cases, although the convenience for users has increased, the accuracy of billing based solely on distance decreases, and the cost of refueling is higher than when refueling directly. The situation is such that the damage to users is rather high. Therefore, in this system, while refueling is performed via the refueling card installed in the rental car 200, the oil cost is automatically calculated according to the operating status of the vehicle. Calculation is performed by analyzing the correlation between operating conditions and fuel consumption, thereby making it possible to conveniently and rationally calculate oil costs. To this end, the oil cost calculation unit 5 may include a correlation analysis module 51, an operation information reception module 52, an oil cost calculation module 53, and an automatic oil cost billing module 54.

The correlation analysis module 51 is configured to analyze the correlation between the operating status and fuel consumption of each rental car 200, and collects the operating status and refueling information of the rental car 200 collected for a certain period of time to generate big data. The system will analyze the correlation between operating conditions and fuel consumption using a machine learning method using big data. To this end, the correlation analysis module 51 may include an operation information loading module 511, a refueling information loading module 512, and a correlation derivation module 513.

The operation information loading module 511 is configured to read the operation information of each rental car 200, and reads starting information, speed information, acceleration/deceleration information, position information, etc. that affect fuel consumption of the rental car 200.

The refueling information loading module 512 is configured to read the refueling information of each rental car 200, and is configured to use the loaded refueling information to calculate the amount of fuel consumed while driving the rental car 200. do.

The correlation derivation module 513 is configured to derive a correlation between operation information and fuel consumption, and calculates the correlation with fuel consumption using input variables such as rental car operation time, operation distance, speed, acceleration and deceleration, etc. be derived by machine learning.

The operation information receiving module 52 is configured to receive operation information for each rental car 200, and calculates operation information by receiving starting, speed, acceleration/deceleration, and position information collected during the usage period of the rental car 200. do it like this.

The oil cost calculation module 53 is configured to calculate the oil cost due to the use of the rental car 200, and uses the operation information received by the operation information receiving module 52 based on the correlation derived by the correlation analysis module 51. The relationship is input to calculate the consumed fuel consumption amount, and the consumed fuel consumption amount is used to calculate the oil cost.

The automatic oil fee billing module 54 is configured to automatically bill the rental car user for the oil fee calculated by the oil fee calculation module 53, and preferably, the oil fee billing module 54 is configured to automatically bill the rental car user for the oil fee calculated by the oil fee calculation module 53. The return can be completed only when the billed oil fee is settled.

The oil cost discount unit 6 is configured to discount the oil cost according to the fuel unit price of the rental car user via the fuel card installed in the rental car 200, and the oil cost calculation unit 5 The oil cost calculated by the above will be billed at a discount. According to the present invention, oil costs are automatically calculated and billed according to the operation status of the rental car, and refueling is settled using a refueling card installed in the rental car 200. In such cases, rental car users may refuel without checking the gas station's refueling unit price, which could increase the rental car operator's fuel costs. Therefore, the present invention provides a gas station with a low unit price of refueling by discounting the fuel cost according to the unit price of refueling for a rent-a-car user while conveniently refueling through the operator's refueling card. To reduce the burden on oil costs by guiding people to search for and refuel. For this purpose, the oil cost discount section 6 includes a fuel unit price loading module 61, a unit price information collection module 62, a standard unit price setting module 63, a savings ratio calculation module 64, a fuel point calculation module 65, and an automatic oil cost deduction module 66. can include.

The refueling unit price loading module 61 is configured to read the refueling unit price information for refueling by the rental car user, and can receive and read the unit price information for the gas station where the user refueled from an external server.

The unit price information collection module 62 is configured to collect fuel unit price information for gas stations in the area where the rental car is used, and collects unit price information on a fueling day from an external server that manages fuel unit price information.

The standard unit price setting module 63 is configured to use the refueling unit price information collected by the unit price information collection module 62 to set a standard unit price that is the basis for refueling cost discount, and sets the refueling unit price in the area on the refueling day. Set the average value for the standard unit price.

The saving ratio calculation module 64 is configured to calculate the rate at which the rental car user saves on refueling costs by dividing the difference between the user's refueling unit price loaded by the refueling unit price loading module 61 and the standard unit price by the standard unit price. Calculate the savings ratio.

The refueling point calculation module 65 is configured to calculate points based on the refueling cost saving ratio of the rental car user, and calculates the discount by multiplying the saving ratio calculated by the saving ratio calculation module 64 by the amount of refueling that the user refueled. Calculate the refueling points you will receive.

The automatic oil cost deduction module 66 is configured to automatically reflect and deduct the fuel points calculated by the fuel point calculation module 65 on the oil cost, and the automatic oil cost billing module To automatically deduct only fuel points when billing oil expenses according to No. 54.

The fine calculation unit 7 is configured to calculate and charge a fine in advance for violation of traffic laws by a rent-a-car user, and if the traffic law is violated at a location where a traffic law enforcement camera is installed, the fine will be charged. If the enforcement information reaches the operating server, the received fine will be paid immediately. In the past, when a rental car user violated traffic laws and was caught by a camera, the rental car user was found later and a separate fine was charged and paid. There was a problem in that if the registered or rental car user information was changed, the penalty charge would not be carried out normally. Therefore, the fine calculation unit 7 uses the operation information of the rental car 200 to determine whether or not there is a crackdown, and receives the fine in advance, so that fines can be promptly imposed without exception due to traffic law violations of the rental car 200. If it is later discovered that the enforcement action has not been taken, the penalty money received in advance can be automatically returned to prevent unfair penalties from being charged. Make it possible to prevent it. For this purpose, the fine calculation unit 7 includes a position information loading module 71, a speed information loading module 72, a crackdown position collection module 73, a violation judgment module 74, a fine calculation module 75, an automatic fine billing module 76, and A penalty refund module 77 may be included.

The position information loading module 71 is configured to read the position information of a rental car, and allows the travel route of the rental car to be understood through the position information.

The speed information loading module 72 is configured to read the speed information of a rental car, so that it can determine whether the rental car is violating the speed limit, and whether or not the vehicle will be parked at a specific location. do.

The enforcement position collection module 73 is configured to collect location information of cameras that crack down on violations of traffic regulations, and collects location information of cameras that crack down on speeding violations, parking violations, bus-only lanes, prohibition of cutting in, etc. You can do it like this.
The violation judgment module 74 is configured to judge whether the rental car violates traffic laws or not, and controls bus-only lanes to determine whether the rental car 20 exceeds the specified speed at the location captured by the speed enforcement camera. Whether or not to enter the bus lane at the location where the camera captures images, whether or not to park or stop for longer than the parking time at the location where the camera captures parking, and whether or not to cut in at the location where the camera captures the image. Try to judge whether or not.

The fine calculation module 75 is configured to calculate a fine for a traffic law violation determined by the violation judgment module 74, and calculates the fine by adding up the fines depending on the type of traffic law violation.

The automatic penalty billing module 76 is configured to bill the rental car user for the calculated penalty, and can be billed together with the oil fee when the rental car is returned via the user terminal 300.

The fine refund module 77 is configured to automatically return the fine if it is found that the rental car user who paid the fine in advance has not been arrested, and the fine is automatically refunded via the user's account. You can do it like this.

The tourist route providing unit 8 is configured to analyze the travel route of the rental car user and provide the rental car user with frequently visited sightseeing routes, and provides the information by analyzing the travel characteristics based on the characteristics of the rental car user and environmental information. do it like this. The tourist route providing unit 8 can perform big data analysis by collecting information and stay information of users who flow into the area where the rental car is used during a certain period of time, and can perform big data analysis based on the personal characteristics of the rental car user. By analyzing the correlation between travel routes and environmental information, the system provides rental car users with sightseeing routes that are frequently visited by users. For this purpose, the tourist route providing section 8 includes a user information collection module 81, a weather information collection module 82, a season information collection module 83, a stay information collection module 84, a correlation analysis module 85, a recommended route provision module 86, and a store information display module. A module 87 may be included.

The user information collection module 81 is configured to collect personal information of rental car users, and may collect information regarding age, gender, nationality, etc., for example.

The weather information collection module 82 is configured to collect weather information on a daily basis, and may collect weather information such as temperature, precipitation, wind speed, and humidity.

The timing information collection module 83 is configured to collect information regarding the time point at which the rental car is used, and may collect information such as the day of the week and the month.

The residence information collection module 84 is configured to collect residence location information of the rental car user, and can collect residence information by analyzing the travel route of the rental car and determining that the rental car has stayed at a location where it remains for a certain period of time or more. do it like this.

The correlation analysis module 85 is configured to analyze the correlation between the rental car user's personal characteristic information, period information, weather information, and retention information, and includes information regarding the rental car user's gender, age, nationality, temperature, precipitation, Weather information regarding wind speed and humidity, and time information such as month and day of the week are placed at the input end, and visit probabilities for each region of the tourist destination are placed at the output end, and machine learning is used to differentiate between the input end and the output end. Try to analyze correlations.

The recommended route providing module 86 is configured to use the correlation analyzed by the correlation analysis module 85 to collect locations frequently visited by rental car users and provide a recommended route. Information about age, gender, nationality, weather information at the time of rental car use, and time information such as day of the week and month are input into the correlation to calculate the staying location with a high probability of visit, and the recommended route is compiled by collecting this information. provide it. Therefore, the recommended route providing module 86 can easily find and visit tourist spots that are often visited by other users without a separate search.

The store information display module 87 is configured to display information on recommended store locations provided by the store information providing section 9 on the recommended route, and displays the location via the rental car navigation or the user terminal 300. It can be done. The store information providing unit 9 provides tourist product vendors with locations where the degree of purchase and preference for a specific product group is high according to the travel route of the rental car user, so that the tourist product vendor can set up a mobile store. , the store information display module 87 displays the location information of the recommended mobile store on the recommended route of the rental car user, so that the user can easily purchase tourist products and increase satisfaction with the purchase; It is also possible to increase the sales profits of tourism product companies. A detailed explanation regarding this will be given later.

The store information providing unit 9 is configured to analyze product purchase information according to the travel route of the rental car user and provide recommended locations of mobile stores to the tourism product vendor, and the store information provision unit 9 analyzes product purchase information according to the travel route of the rental car user and provides recommended locations of mobile stores to the tourist product vendor. Purchasing information is analyzed to provide a location where a user makes many purchases for a specific product group and has a high degree of preference as a recommended location for a mobile store. Further, the store information providing unit 9 can maximize the sales rate for a specific product group at the mobile store by recommending the location of the mobile store on the travel route recommended to the rental car user. . To this end, the store information providing unit 9 may include a purchase analysis module 91 and a location recommendation module 92.

The purchase analysis module 91 is configured to analyze purchase information by location in the area where the rental car is used, and is configured to analyze purchase information by location for a specific product group. The purchase analysis module 91 may collect card payment information, cash receipt information, etc. for product purchases from an external server and analyze the purchase information, and calculate the purchase ratio for each location for a specific product group. , a purchase index is calculated for a specific product group purchased at each location according to the preference level. To this end, the purchase analysis module 91 may include a location information input module 911, a purchase information analysis module 912, a preference information analysis module 913, and a purchase index calculation module 914.

The location information input module 911 is configured to input location information of each region where the rental car can move, and the regions are divided into fixed areas or jurisdictional units.

The purchasing information analysis module 912 is configured to analyze purchasing information for products at each location, and analyzes information such as card payments and cash receipts for each product group based on product type, and analyzes sales volume for each location. make it happen.

The preference information analysis module 913 is configured to analyze preference information for product groups for each location, and analyzes the online postscript information and the like for products purchased at each location through sensibility analysis and the like. to analyze preferences.

The purchase index calculation module 914 is configured to calculate a purchase index for a product group by location, and calculates a purchase index indicating a purchase ratio and preference level through analysis of purchase information and preference information. As an example, the purchasing index calculation module 914 calculates the ratio of sales volume by location from the total sales volume in the area where rental cars are used for a specific product group, and adds up the degree of preference for each location. The purchasing index can be calculated based on the above. Therefore, the higher the purchasing index, the higher the probability of purchasing a specific product group, and the higher the preference can be determined to be in the area, and such a location is recommended as the location of the mobile store. It is possible to provide useful information that can increase sales rates to local tourism product sellers and the like.

The location recommendation module 92 is configured to recommend the location of the mobile store in consideration of the recommended route of the rental car user, and uses the purchase index calculated by the purchase analysis module 91 to determine the location of the mobile store. Be recommended. The sightseeing route providing unit 8 provides rental car users with recommended routes that are often visited by users, and various routes are provided depending on the user's personal characteristics. Therefore, the location recommendation module 92 reads the recommended routes through the tourist route providing unit 8, compares the purchase index by location for each route, and calculates the number of times each location is recommended. To recommend a moving store to a position with the highest purchase probability in consideration of a purchase index. To this end, the location recommendation module 92 may include a product information input module 921, a recommended route loading module 922, a purchasing index comparison module 923, and a recommended location providing module 924.

The product information input module 921 is configured to input information regarding a product group for which the location of the mobile store is to be recommended, and input the type of product according to the product group to be analyzed by the purchase analysis module 91. Make it.

The recommended route loading module 922 is configured to load recommended route information for rental car users provided by the sightseeing route providing unit 8, and is configured to load recommended route information for rental car users provided by the tourist route providing unit 8. Load route information.

The purchasing index comparison module 923 is configured to compare the purchasing index by location of each route read by the recommended route loading module 922, and compares the purchasing index by considering all the recommended routes during a unit period. do it like this. In other words, the purchasing index comparison module 923 calculates the number of times each location is recommended by the recommended route, multiplies the calculated number of times by a purchasing index for each location, and compares the multiplied values for each location. I'll do what I do.

The recommended location providing module 924 is configured to recommend the location of a mobile store based on the comparison result by the purchasing index comparison module 923, and recommends a location with a high purchasing index for a specific product group and a high probability of a user visiting. To maximize the product sales rate by recommending the location of a mobile store.

The network diagnosis unit 10 is configured to manage the network status of the rental car 200 and the operation server 100, and transmits a signal to the rental car 200 at regular time intervals to check the response, and determines the network status depending on the response. to diagnose. In particular, the network diagnosis unit 10 determines that there is a communication failure if a response signal is not received a certain number of times within a certain unit time, and even if it is not determined that there is a failure, the network diagnosis unit 10 determines that there is a communication failure. If a response is not received for a certain period of time, it will be reported that the network performance has deteriorated, and an inspection will be carried out. To quickly notify even before a complete cut is determined and diagnosed as a failure so that prompt action can be taken. To this end, the network diagnosis section 10 may include a failure detection section 101, an abnormality diagnosis section 102, and an emergency notification section 103.

The failure detection unit 101 is configured to detect a network failure, and diagnoses a network failure when the number of times a response signal is not received within a certain unit time exceeds a reference value. To this end, the failure detection unit 101 may include a confirmation signal transmission module 101a, a response signal reception module 101b, an unreceived frequency calculation module 101c, and a failure confirmation module 101d.

The confirmation signal transmission module 101a is configured to transmit a signal for confirming the network state to each rental car 200, and transmits the confirmation signal at regular time intervals.

The response signal reception module 101b is configured to receive a response signal in response to the confirmation signal transmitted by the confirmation signal transmission module 101a, and in the rental car 200, the response signal is automatically transmitted in response to the confirmation signal. It is possible to check whether the network is operating normally or not on the management server 100.

The unreceived frequency calculation module 101c is configured to calculate the frequency at which a response signal is not received at a fixed unit time interval, and calculates the number of unreceived response signals relative to the number of confirmation signals transmitted during a fixed unit time. is calculated as the unreceived frequency.

The failure determination module 101d is configured to determine that there is a network failure when the unreceived frequency calculated by the unreceived frequency calculation module 101c exceeds a reference value, and is able to notify the failure and take prompt action. do it like this. Furthermore, the failure determination module 101d does not determine a failure based on one non-reception of a response signal, but temporarily determines a failure when the frequency of non-reception during a certain unit time exceeds a reference value. It is possible to prevent inefficiency in performing inspections, etc. by determining a failure due to non-reception of a response signal due to an abnormality.

The abnormality diagnosis unit 102 is configured to determine that network performance has deteriorated and notify this when the frequency of non-reception of response signals persists within a certain range, even if it is not at a level where a failure is detected. This makes it possible to diagnose not only network failures but also performance deterioration, thereby preventing communication failure problems due to deterioration in network performance. To this end, the abnormality diagnosis unit 102 may include a danger range recognition module 102a, a duration count calculation module 102b, a reference count comparison module 102c, and an inspection notification transmission module 102d.

The dangerous range recognition module 102a is configured to recognize that the frequency of non-reception of response signals reaches a dangerous range. It means a certain range.

The duration calculation module 102b is configured to calculate the number of durations when the frequency of non-reception of response signals reaches a dangerous range, and is configured to calculate the number of sustained times when the frequency of non-reception of response signals reaches the dangerous range. Calculate the number of times that continues.

The reference number comparison module 102c is configured to compare the number of durations calculated by the number of duration calculation module 102b with a reference number, and the comparison is performed by setting a reference number of times at which it can be determined that network performance has deteriorated. do it like this.

The inspection notification sending module 102d is configured to determine that the performance of the network has deteriorated if the number of sustained times exceeds the reference number as a result of the comparison by the reference number comparison module 102c, and notifies this so that a prompt inspection of the network can be carried out. make sure that you are

The emergency notification unit 103 is configured to notify the user when the number of times a response signal is not received continuously even if the network condition is not diagnosed as a failure or performance degradation, so that prompt action can be taken. Therefore, if response signals are not received continuously even within a unit time, it is determined that the network is completely disconnected, and prompt measures can be taken before a failure is diagnosed. To this end, the emergency notification unit 103 may include a non-response information receiving module 103a, a continuous frequency calculation module 103b, and an emergency abnormality transmission module 103c.

The non-response information receiving module 103a is configured to receive information in which a response signal has not been received, and determines whether or not response signals have not been received continuously.

The continuous number calculating module 103b is configured to calculate the number of consecutive times that a response signal is not received, and checks whether or not the response signal is not received continuously within a certain unit time.

The emergency abnormality transmission module 103c is configured to determine that the network connection is completely disconnected and transmit an emergency abnormality signal when the number of consecutive times calculated by the number of consecutive times calculation module 103b exceeds a predetermined number. Therefore, even before a failure is detected, an abnormality can be promptly notified and a prompt response can be taken.

A rental car operation system according to another embodiment of the present invention will be described with reference to FIGS. The operation server 100 calculates the rental fee for the rental car 200 according to the rental car usage rate predicted based on big data, so that a fair and reasonable price is determined for both the rental car company and the user. do it like this. Therefore, only the parts added to the management server 100 will be described below.

The management server 100 is configured to communicate with the user terminal 300 by wire or wire, conclude a usage contract for the rental car 200, and manage and provide various information for the rental car 200. By determining the rental fee of 200 cars and making it possible to provide them separately for each car rental company, when 200 car rental reservations are canceled, the reliability of this operating system is ensured through the resale of 200 car rental products, and the user damage can also be reduced. In particular, the operation server 100 makes it possible to provide a reasonable price by determining the price of the rental car 200 using big data, and adjusts the price for each reservation period for the rental car 200 to increase the reservation rate and improve efficiency. enables efficient management. To this end, the management server 100 may include a price model determination unit 1', a price calculation unit 2', a price adjustment unit 3', a vendor-specific provision unit 4', and a cancellation and resale unit 5'.

The price model determining unit 1' is configured to derive a correlation that can determine the rental price (hereinafter referred to as "price") of a rental car, and predicts the usage rate of a rental car by analyzing big data. The aim is to derive correlations that allow for Therefore, the price model determination unit 1' collects information regarding the variables that affect the rental car usage rate and the rental car usage rate during a certain period of time, and derives the correlation between them. The price calculation unit 2' can determine the rental car price for a specific unit period using the above formula. As an example, the price model determining unit 1' may collect information on variables and usage rates on a daily basis to derive the correlation, and calculate the correlation based on the information collected daily. Updates can be made to increase the accuracy of the correlation. To this end, the price model determining unit 1' may include a variable information storage module 11', a usage rate information storage module 12', a correlation derivation module 13', and a correlation update module 14'.

The variable information storage module 11' is configured to collect and store information on variables that affect the usage rate of rental cars. A season information storage module 112' that stores information on seasons such as busy season, off-season, semi-busy season, and consecutive holidays; and a season information storage module 113' that stores information on seasons such as busy season, low season, semi-busy season, and consecutive holidays; and weather information such as temperature, precipitation, wind speed, and humidity. The weather information storage module 114' may include a weather information storage module 114' for storing information, and an inflow rate storage module 115' for storing information regarding the inflow rate of tourists, etc. to the area where the rental car 200 is used. Here, the inflow rate stored by the inflow rate storage module 115' is set as the ratio of the actual number of inflow people to the total number of people that can be transported by means of transportation such as ships and airplanes that flow into the area, and that information is collected.・Enable it to be saved.

The usage rate information storage module 12' is configured to collect and store information regarding the usage rate of the rental cars 200, and sets the ratio of the actual number of used rental cars 200 to the total number of available rental cars 200 as the usage rate. For example, the usage rate can be calculated and saved on a daily basis.

The correlation derivation module 13' is configured to derive a correlation between the variables stored by the variable information storage module 11' and the usage rate of the rental car 200 stored by the usage information storage module 12', and Correlation is derived using big data collected over a certain period of time regarding usage rates. The correlation derivation module 13' can perform correlation analysis using various machine learning methods such as artificial neural networks, and can analyze the correlations for variables and usage rates on a daily basis. You can make it happen. Further, the correlation derivation module 13' can derive the correlation for each vehicle type, and can set input variable values according to the day of the week, month, and season, and set the input variable values according to the day of the week, month, and season, and By inputting weather information and inflow rate as input variables, a correlation with rental car usage rate can be derived.

The correlation update module 14' is configured to update the correlation derived by the correlation derivation module 13', and continuously updates the correlation using variables and usage data collected after the correlation is derived. Ensure that corrections are made. Therefore, the correlation update module 14' can improve the accuracy of the correlation over time.

The price calculation unit 2' is configured to calculate and determine a rental price for the rental car 200, and predicts the usage rate for the rental car 200 at a specific time using the correlation derived by the price model determination unit 1'. pricing based on predicted usage. In other words, the higher the usage rate of the rental car is predicted to be at a particular point in time, the greater the demand for rental cars, so the price calculation unit 2' sets a higher price for the rental car as the usage rate of the rental car is predicted to be higher. be able to. Further, the price calculation unit 2' may calculate and determine the price on a daily basis, and may calculate and provide the price on a daily basis according to the rental period selected by the user. Can be done. For this purpose, the price calculation unit 2' may include a selection information receiving module 21', a variable information loading module 22', an expected usage rate calculation module 23', a price standard setting module 24', and a price calculation module 25'. can.

The selection information receiving module 21' is configured to receive information selected via the user terminal 300, and receives information such as the type and rental period of the rental car 200 desired by the user.

The variable information loading module 22' is configured to read input variables for predicting the rental car usage rate and calculating the price, and reads variables for the car type and rental period selected by the user. Therefore, the variable information loading module 22' predicts the usage rate of the rental car 200 for the car type and rental period selected by the user, and determines the price based on the predicted usage rate. To this end, the variable information loading module 22' loads information regarding the vehicle type selected by the user via the vehicle type information loading module 221', and allows the user to load the rental car 200 via the time information loading module 222'. Seasonal information such as the day of the week and month for the period to be used is loaded, information about seasons such as the busy season is loaded through the season information loading module 223', and precipitation information is loaded through the weather information loading module 224'. Weather forecast information such as volume, temperature, etc. is loaded, and reservation rate information regarding transportation means such as ships and airplanes arriving at the area where the rental car 200 is used is loaded through the reservation rate information loading module 225'. do. At this time, the weather information loading module 224' may load weather forecast information from an external weather forecast system, and the reservation rate information loading module 225' may load weather forecast information from an external weather forecast system, and the reservation rate information loading module 225' may load weather forecast information from an external weather forecast system. Reservation rate information for the period in which the rental car 200 is desired to be used is read through the host's server or the like.

The expected usage rate calculation module 23' is configured to predict the expected usage rate of the rental car 200 for a period in which the user desires to use the rental car 200, using the correlation derived by the price model determination unit 1'. to predict utilization. Therefore, the expected usage rate calculation module 23' inputs the variables loaded by the variable information loading module 22' into the correlation by the price model determining unit 1', and calculates the expected usage rate of the rental car 200 for the usage period of the rental car 200. is calculated.

The price standard setting module 24' is configured to set a standard for determining the price based on the usage rate of the rental car 200, and divides the usage rate of the rental car 200 into a plurality of sections, and sets the price for each section. It is possible to set prices according to usage rates for each vehicle type.

The price calculation module 25' is configured to calculate and provide a price for the rental car 200 desired by the user, so that the price for the car type and period desired by the user is provided. The price calculation module 25' may determine the price based on the expected usage rate calculated by the expected usage rate calculation module 23' in accordance with the standard set by the price standard setting module 24'. The price can be calculated and displayed for each date of the desired period of use.

The price adjustment unit 3' is configured to adjust the price depending on the time when the user makes a reservation for a rental car, and can adjust the price calculated by the price calculation unit 2'. The price adjustment unit 3' can set the price to be lower as the rental car is reserved in advance, and in addition, the price can be adjusted according to the time, season, and reservation rate at the time when the rental car is to be used. It is possible to adjust the degree to which the Therefore, the price adjustment unit 3' adjusts the price according to the level of demand at the time the rental car is used, so that the price can be determined more rationally and accurately at the time of reservation. can do. To this end, the price adjustment unit 3' may include a period index setting module 31', a weight setting module 32', an adjustment index calculation module 33', and a price change module 34'.

The period index setting module 31' is configured to set the extent to which the price is adjusted according to the period remaining before the rental car usage period, and the longer the remaining period, the lower the price is adjusted. Can be set.

The weight setting module 32' is configured to set a weight for the period index set by the period index setting module 31', and the price is adjusted according to the time when the rental car 200 is used, the season, and the reservation rate. Adjustments can be made to a certain degree. Therefore, the weight setting module 32' may include a period setting module 321', a season setting module 322', and a reservation rate setting module 323'. The season setting module 322' sets the degree of price adjustment according to the season type regarding the busy season when the rental car is used. The reservation rate-based setting module 323' can set the degree of price adjustment according to the reservation rate of the rental car. At this time, the seasonal setting module 322' sets the price on days of the week such as Fridays, Saturdays, and Sundays during the busy season, and the reservation rate setting module 323' sets the price on days of the week such as Fridays, Saturdays, and Sundays. The degree of adjustment can be reduced. In addition, the reservation rate setting module 323' sets a weight to the extent that the price is adjusted based on the ratio of the current reservation rate to the rental car usage rate predicted for the time when the rental car is used. You can make it happen.

The adjustment index calculation module 33' is configured to set the degree to which the rental car price is finally adjusted, and is set by the weight setting module 32' to the period index set by the period index setting module 31'. Weights may be set such that the final adjustment index is set.

The price change module 34' is configured to change the price calculated by the price calculation unit 2' and display it on the user terminal 300, and changes the price to the final adjustment index calculated by the adjustment index calculation module 33'. to ensure that the changes are reflected in the changes.

The vendor-specific provision unit 4' is configured to provide information such as prices for the rental car 200 classified by rental car company, and calculate the price of the rental car 200 separately for each company. be able to. In the case of this system, multiple rental car companies can be registered and used, and the rental car 200 owned by each company can be registered, a usage contract for each rental car 200 is concluded, and the rental car 200 can be used. You can make it happen. Therefore, the vendor-specific providing unit 4' separately analyzes the correlation with the rental car usage rate of each rental car company, while separately displaying and providing information on the rental cars 200 of each rental car company, and separately analyzes the correlation with the rental car usage rate of each rental car company, and prices accordingly. can be calculated and provided separately. Further, the vendor-specific providing unit 4' can analyze the ratings, postscripts, etc. for rental cars for each vendor, and provide prices that reflect the preference for each vendor. Therefore, the vendor-specific provision unit 4' calculates a higher price for a vendor with a high usage rate under the same conditions for each vendor, and increases the rental car price of a vendor that is popular with users, thereby rationalizing the price. In addition, the higher the user's preference for a company, the higher the price can be determined, thereby motivating the company to carry out rental car quality control, and thereby increasing the company's performance. It can make it possible to improve profitability. For this purpose, the vendor-specific provision unit 4' includes a vendor-specific price display module 41', a rating information loading module 42', an analysis module 43' (described later), a preference index calculation module 44', a preference standard setting module 45', and a price A reflection module 46' may be included.

The vendor-specific price display module 41' has a configuration that classifies usage prices for each rental car vendor and displays them on the user terminal 300. A correlation with the rate is derived, and prices are calculated and displayed for each vendor via the price calculation section 2' and price adjustment section 3'.

The rating information loading module 42' is configured to load rating information for each rental car company, and may read rating information for a rental car that is input via the user terminal 300 after using the rental car 200. This system is capable of registering a score for the rental car 200 used by the user via the user terminal 300, and stores information regarding this for each vendor and transmits it via the score information loading module 42'. It can be read as follows.

The postscript analysis module 43' is configured to analyze the postscript of rental car use for each rental car company, and can analyze whether the user has a positive or negative preference for the car rental company. The postscript analysis module 43' can analyze postscripts created via the user terminal 300 and stored in the operation server 100, such as scores, and in addition, postscripts such as scores are analyzed from various external media. Information regarding rental car companies may be collected and analysis of preferences may be performed.

The preference index calculation module 44' is configured to calculate a preference index indicating the degree of preference for rental car companies, and is configured to calculate a preference index that indicates the degree of preference for rental car companies, and is based on the score information loaded by the score information loading module 42' and the score information analyzed by the analysis module 43' described later. The preference index can be calculated using the preference information described below. For example, the preference index calculation module 44' may calculate the preference index by adding up the average score and the score based on the preference level described below.

The preference standard setting module 45' is configured to set the degree of price adjustment according to the preference index, divides the preference index calculated by the preference index calculation module 44' into sections, and adjusts the preference index according to each section. The degree of price adjustment can be determined by At this time, the preference standard setting module 45' may set a standard such that the higher the preference for the rental car company, the higher the price.

The price reflection module 46' is configured to reflect the preference index on the price, and allows the price to be corrected based on the preference index based on the criteria set by the preference standard setting module 45'.

The cancellation and resale unit 5' is configured to allow the canceled rental car reservation to be resold when the user cancels the rental car reservation, and to cancel the rental car reservation at a discounted price without immediately canceling the rental car reservation. Allow resale to occur. If rental car reservations made through this system are frequently canceled, there is a risk that the rental car companies' trust in this system will decline, and users will also suffer damage from having to pay cancellation fees. Therefore, when a cancellation request is made via the user terminal 300, the cancellation resale unit 5' first determines whether the cancellation is possible, and if the cancellation is possible, the cancellation resale section 5' Require resale subject to a discounted cancellation fee, and if the user approves the resale, the rental car reservation will be resold at a discounted price. As a result, the cancellation and resale department 5' can maintain trust by minimizing cancellations of rental car reservations from the system operator's standpoint, and discount cancellation fees to users who cancel reservations. Damage can be reduced, and through discount sales of rental car reservations, the sales rate of canceled reservations can also be increased. To this end, the cancellation and resale unit 5' may include a cancellation request receiving module 51', a sales possibility determination module 52', a sales recommendation module 53', and a sales bulletin module 54'.

The cancellation request receiving module 51' is configured to receive cancellation information for a rental car reservation from a user, and receives cancellation request information transmitted from the user terminal 300.

The saleability determination module 52' is configured to determine whether or not a rental car reservation for which cancellation has been requested can be canceled, and determines whether or not the rental car reservation can be resold. The sales possibility determination module 52' determines whether or not there is a sales possibility by considering the rental car reservation rate at the time of rental car use, the remaining period, etc. The possibility of resale is determined by considering whether or not the predicted usage rate can be met. To this end, the sales availability determination module 52' includes a predicted usage rate receiving module 521', a reservation rate receiving module 522', a reservation progress rate calculation module 523', a period reflection module 524', and a propriety determining module 525'. Can be done.

The predicted usage rate receiving module 521' is configured to receive predicted usage rate information for the usage point of the rental car for which cancellation has been requested, and receives the predicted usage rate information calculated by the predicted usage rate calculation module 23'. Make sure to receive it.

The reservation rate receiving module 522' is configured to receive information on the current reservation rate at the time of use of the rental car for which cancellation has been requested, and receives information on the ratio of the number of currently reserved rental cars to the total number of rental cars owned. do it like this.

The reservation progress rate calculation module 523' is configured to calculate the reservation progress rate at the time of use of the rental car for which cancellation has been requested, and uses the reservation rate received by the reservation rate reception module 522' as the predicted usage rate reception. The reservation progress rate is determined by dividing by the predicted utilization rate received by module 521'. Therefore, the reservation progress rate calculation module 523' can grasp how far the reservation is currently progressing compared to the expected usage rate.

The period reflection module 524' is configured to reflect the period remaining until the rental car is used in calculating the reservation progress rate, and applies the reservation progress rate calculated by the reservation progress rate calculation module 523' to the time of the cancellation request. The amount will be revised at a certain rate taking into account the period remaining from the time the rental car is used.

The availability determining module 525' is configured to decide whether or not to resell the rental car for which cancellation has been requested, using the reservation progress rate information in which the remaining period is taken into account by the period reflection module 524'. to judge. The availability determining module 525' sets a certain reference value for determining whether resale is possible, and if the reservation progress rate corrected by the period reflection module 524' exceeds the reference value, resale is not allowed. For example, if the expected reservation progress rate based on the date of rental car use exceeds 90%, it can be determined that resale is possible.

The sales recommendation module 53' is configured to solicit resale to the user who cancels the rental car reservation when the sales possibility determination module 52' determines that the rental car reservation can be resold. If you do so, please provide information that the cancellation fee will be reduced.

The sales posting module 54' is configured to allow the rental car reservation to be resold if the canceled user agrees to the resale of the rental car reservation, and the sale is performed by posting the rental car at a discounted price. do it like this.

As mentioned above, the applicant has described various embodiments of the present invention, but these embodiments are merely embodiments for realizing the technical idea of the present invention, and as long as the technical idea of the present invention is realized, Any changes or modifications should be construed as falling within the scope of the invention.

100 Management server 1 Vehicle information collection department 2 Traffic information provision department 3 Traffic information optimization department 4 Impact monitoring department 5 Oil cost calculation department 6 Oil cost discount department 7 Fines calculation department 8 Sightseeing route provision department 9 Store information provision department 10 Network diagnosis section 1' Price model determination section 2' Price calculation section 3' Price adjustment section 4' Vendor specific provision section 5' Cancellation and resale section 200 Rental car 300 User terminal

Claims (15)

A rental car that is rented by a user for a certain period of time, used and returned, and that measures and transmits operational information about the vehicle;
a user terminal that searches for the rental car, selects the rental car to be used, and receives information regarding the rental car;
an operation server that communicates with the user terminal and the rental car, allows a usage contract for the rental car to be concluded, and receives operational information measured by the rental car;
The rental car operation system is characterized in that the operation server analyzes operation information measured by the rental car and provides information necessary for the operation of the rental car. The operating server is
A vehicle information collection unit that collects rental car operation information, and a traffic information provision unit that analyzes and provides traffic information using the collected operation information,
The traffic information provision department is
A movement information collection module that collects movement information of rental cars for each section of the road, a movement speed calculation module that calculates the movement speed of rental cars moving in each section, and a movement information collection module that calculates the movement speed of rental cars moving in each section. A speed information purification module to be removed, an average speed calculation module that calculates the average speed of a rental car for each section, a congestion degree display module that calculates and displays the degree of congestion according to the calculated average speed, and a degree of congestion display module that calculates the degree of congestion. 2. The rental car operation system according to claim 1, further comprising a route automatic reflection module that updates the route by automatically reflecting the travel route guided through navigation. The traffic information provision department is
Includes a filtering module that removes rental car information that becomes noise when calculating the travel speed for each section.
The filtering module includes:
A start time determination module that removes information about rental cars whose start has been turned off for more than a certain period of time, a stop time determination module that removes information about rental cars that have stopped for more than a certain period of time even if their start has been turned on, and routes for each section. 3. The rental car operation system according to claim 2, further comprising a travel route determination module that removes information on rental cars having routes that deviate from the above. The operating server is
a traffic information optimization unit that optimizes traffic information provided by an external system using the traffic information analyzed by the traffic information provision unit;
The traffic information optimization unit includes:
an external traffic information collection module that collects external traffic information; a traffic information comparison module that compares the external traffic information with a result analyzed by the traffic information providing unit; and an external traffic information analyzed by the traffic information providing unit. A video discrimination module that uses vehicle video to confirm whether there is an accident if the traffic information differs by more than a certain degree, and an abnormality information generation module that generates abnormality information in the traffic information if the accident cannot be confirmed from the video. and an abnormality count calculation module that calculates the number of times abnormal information occurs, and if the number of times abnormal information occurs for a certain period of time exceeds a standard value, it provides traffic information from rental cars and reflects it in the external traffic information system. The rental car operation system according to claim 2, further comprising: an abnormality information providing module. The operating server is
Includes an impact monitoring section that monitors impact on rental vehicles;
The impact monitoring section includes:
an impact information receiving module that receives vibration information measured by the rental car that exceeds a certain level as impact information; and an accident determination module that determines that an accident has occurred and notifies the driver if the impact that occurs to the rental car exceeds a certain level. The rental car operation system according to claim 1, characterized in that: The impact monitoring section includes:
It includes a danger recognition module that confirms this and takes measures when the impact of the rental car occurs within a certain range below the impact that is considered to be an accident.
The danger recognition module includes:
A dangerous impact sensing module that detects a dangerous impact within a certain range below the impact that is determined to be an accident, a confirmation signal transmission module that sends a signal to the rental car to confirm this when a dangerous impact is detected, and a certain period of time. Claim comprising: a response signal confirmation module that recognizes a dangerous situation when a response to the confirmation signal is not received within a period of time; and an emergency dispatch instruction module that instructs emergency dispatch when a dangerous situation is recognized. The rental car operation system described in Section 5. The impact monitoring section includes:
It includes an abnormality confirmation module that determines that there is an abnormality in the rental car and notifies the driver if the impact of the rental car is not recognized as a dangerous impact but continues within a certain range.
The abnormality confirmation module is
An impact information storage module that stores information about impacts in a certain range below a dangerous impact, a repetition frequency calculation module that calculates the frequency at which impacts in a certain range are repeated, and a standard value comparison module that compares the calculated frequency with a standard value. and a continuous number calculation module that calculates the number of times that an impact with a frequency exceeding a reference value occurs consecutively, and an abnormality notification module that notifies an abnormality of the rental vehicle when the consecutive number of times exceeds a predetermined number. The rental car operation system according to claim 6, characterized in that: The operating server is
Includes an oil cost calculation section that automatically calculates and charges users for rental car oil costs;
The oil cost calculation department is
a correlation analysis module that analyzes the correlation between the operation status and fuel consumption of each rental car; an operation information reception module that receives operation information during the rental period of the rental car for which oil costs are to be claimed; and the correlation analysis. An oil cost calculation module that calculates oil costs by inputting operating information into the correlations analyzed by the module, and an automatic oil cost billing that automatically charges the calculated oil costs to the user when returning the rental car. including a module;
The correlation analysis module includes:
An operation information loading module that loads rental car start information, speed information, and acceleration/deceleration information; a refueling information loading module that loads refueling information for rental cars; and a correlation derivation module that derives the correlation between operation information and fuel consumption for each rental car. The rental car operation system according to claim 1, characterized in that it includes the following. The operating server is
Includes an oil cost discount section that provides discounts on oil costs according to the unit price of refueling by rental car users;
The oil cost discount department is
A refueling unit price loading module that reads refueling unit price information from the refueling information that the user has refueled; a unit price information collection module that collects oil unit price information in the area where the rental car is used when the user refuels; and the unit price information collection module. A standard unit price setting module that sets the average value of the oil unit prices collected by A refueling point calculation module that calculates refueling points by multiplying the user's refueling amount, and an automatic oil cost deduction module that automatically deducts and reflects the calculated refueling points against the oil costs paid by the user. The rental car operation system according to claim 8, characterized in that the system includes: The operating server is
Includes a penalty calculation unit that automatically reflects traffic law violation information of rental car users and charges a penalty in advance.
The penalty calculation department is
A location information loading module that reads location information of a rental car, a speed information loading module that reads speed information, a enforcement location collection module that collects vehicle enforcement location information, and a speeding enforcement module, prohibition of parking, prohibition of interruptions, etc. at enforcement locations. a violation determination module that determines whether or not traffic laws such as prohibition of passing on bus-only lanes are violated; a penalty calculation module that calculates a penalty during the rental car usage period depending on whether or not the traffic regulations are violated; An automatic penalty billing module that charges fines by adding them to the user's oil costs, and a penalty bill that reflects the actual enforcement situation and automatically returns the billed penalty if no enforcement has been carried out. The rental car operation system according to claim 8, further comprising a return module. The operating server is
Includes a tourist route providing unit that analyzes the travel route of rental car users and recommends sightseeing routes;
The tourist route providing department is
A user information collection module that collects information about the age, gender, and nationality of rental car users; a weather information collection module that collects weather information when using a rental car; a timing information collection module that collects information about the rental car usage period; A retention information collection module that collects information on rental car users' retention locations based on the operating route; a correlation analysis module that analyzes the correlation between user, weather, and season information and retention locations; The rental car operation system according to claim 1, further comprising a recommended route providing module that provides recommended sightseeing routes. The operating server is
Includes a store information providing unit that analyzes product purchase information based on the travel route of rental car users and recommends locations of mobile stores for tourists;
The store information provision department is
a purchase analysis module that analyzes purchase information of products by region; and a location recommendation module that recommends and provides a location of a mobile store based on the results analyzed by the purchase analysis module;
The purchasing analysis module includes:
A location information input module that inputs location information of the area where the rental car is used, a purchase information analysis module that analyzes purchase information for a specific product group at each location, and a purchase information analysis module that analyzes preference information for a specific product group purchased at each location. a preference information analysis module for analyzing, and a purchase index calculation module for calculating a purchase index based on the degree of purchase and degree of preference for a specific product group at each position along the travel route,
The location recommendation module includes:
a product information input module for inputting information on a product group for which a mobile store is to be installed; a recommended route loading module for loading information on a travel route recommended to a rental car user by the sightseeing route providing section; The present invention is characterized by including a purchasing index comparison module that compares purchasing indices by location, and a recommended location providing module that recommends the location of a store with a high purchasing index by considering the number of visits by location along the recommended route. The rental car operation system according to claim 11. The operating server is
It includes a network diagnosis unit that sends a confirmation signal to the rental car at regular intervals to diagnose communication abnormalities with the rental car.
The network diagnosis section includes:
includes a failure detection unit that determines a communication failure if a response to the confirmation signal is not received at a certain frequency or more;
The failure detection section includes:
A confirmation signal transmission module that transmits a confirmation signal to the rental car at fixed time intervals, a response signal reception module that receives a response signal to the confirmation signal, and a non-reception frequency that calculates the frequency at which a response signal is not received at a fixed unit time interval. 2. The rental car operation system according to claim 1, comprising: a calculation module; and a failure confirmation module that determines and notifies a failure when the frequency of non-reception exceeds a reference value. The network diagnosis section includes:
If the frequency of non-reception of response signals persists within a certain range, even if it is not detected as a failure, it determines that the network performance has deteriorated, and includes an abnormality diagnosis unit that notifies the user of this,
The abnormality diagnosis section includes:
A dangerous range recognition module that recognizes that the frequency of unreceived response signals reaches a dangerous range that is less than the frequency at which it is detected as a failure, a duration calculation module that calculates the number of times the dangerous range lasts, and a reference value for the number of sustained times. 14. The rental car operation system according to claim 13, further comprising: a reference value comparison module for comparing with the reference value, and an inspection notification instruction module that determines that performance has deteriorated and notifies the user when the number of times of persistence exceeds the reference value. . The network diagnosis section includes:
an emergency notification unit that senses and notifies an emergency abnormality to the network even before it is diagnosed as a failure or performance degradation by the failure detection unit or abnormality diagnosis unit;
The emergency notification department is
A non-response information receiving module that receives non-response information, a continuous number calculation module that calculates the number of consecutive non-responses when non-responses occur continuously, and an emergency module that determines and notifies an emergency abnormality when the number of consecutive non-responses exceeds a predetermined value. The rental car operation system according to claim 14, further comprising: an abnormality transmission module.