IoT-BASED VEHICLE OCCUPANCY RATE PREDICTION SYSTEM

Abstract

The invention relates to a public transport information system (100) which enables the instantaneous and historical occupancy information of a public transport vehicle to be determined by the carbon dioxide (CO2) level and the users / passengers and / or managers / authorities / employer / administration to be informed about the said occupancy information.

Description

1 TARIFF IoT-BASED VEHICLE OCCUPANCY RATE PREDICTION SYSTEM Technical Area 5 The invention provides real-time and historical information on the occupancy level of a public transport vehicle. to be determined by the carbon dioxide (CO2) level and regarding the vehicle's interior occupancy information. users / passengers and / or managers / authorities / employer / administration It relates to a public transport information system that provides information. State of the Art In current technology, the use of public transportation is quite common, especially in large cities. The number and routes of vehicles in question are determined by administrations such as municipalities. Municipalities consider factors such as population density, working hours, when making decisions. It takes into account factors such as holidays. Despite the decision-making mechanism, a specific time is 15 and in some locations, there may be a shortage of vehicles. Vehicle occupancy rates are determined by the planning authorities. This is an important parameter. The occupancy rate of the vehicle in which passengers will travel. Many studies have been conducted providing information on this subject. When these studies are examined, the value of in-vehicle occupancy is revealed. Multiple pieces of equipment have been integrated into vehicles to predict or detect [mistakes]. Equipment procurement, vehicle integration, and technical service support are just some of the many short-term and long-term benefits offered. This brings with it costs. Some existing systems require related hardware. It may not be technically feasible to carry out the integrations. This would require large investments. This prevents administrations that are unable to do so from providing information on the occupancy rate of their vehicles. From the passengers' perspective, vehicle occupancy rate is also evaluated in terms of hygiene, health, safety, and planning. It is an important parameter for reasons such as these. 25 2 To overcome the aforementioned disadvantages in the known state of the art, new mechanisms are needed. It needs to be improved. Consequently, in relation to all the problems mentioned above, the relevant An innovation in the technical field has become necessary. Purpose and Advantages of the Invention 5 The invention aims to create a system that detects carbon dioxide emissions from IoT sensors installed in public transport vehicles. Estimation of in-vehicle occupancy value based on processed in-vehicle air pollution data. It is possible to do so. Another objective of the invention is to provide a decision support system based on in-vehicle density information. Another aim of the invention is to optimize the scheduling of public transport routes. This involves updating the system and consequently making adjustments to the route / stop information. Another purpose of the invention is to identify drivers who carry more passengers than they are allowed to. Another aim of the invention is to address concerns about high air pollution by utilizing information on vehicle occupancy levels. The aim is to enable passengers who hear this to plan their travels using public transportation. Another purpose of the invention is to use occupancy rate information received from the IoT sensor to improve public transportation. To ensure the matching of flight information obtained from the application and to provide this information to units such as passengers / authorized personnel. The goal is to extract meaningful information and conclusions, and consequently, to create decision support values. Explanation of the Figures Figure 1 Schematic view of the system 20 Explanation of References 100. System 3 1. IoT sensor 1.1. Communication unit 2. First database 3. Decision data generator unit 4. Second database 5 5. Public transportation app 6. First information interface 7. Second information interface Detailed Description of the Invention 10 The invention provides real-time and historical information on the occupancy level of a public transport vehicle. to be determined by the carbon dioxide (CO2) level and regarding the vehicle's interior occupancy information. users / passengers and / or managers / authorities / employer / administration It is related to a public transport information system (100) which provides information. system (100) IoT sensor (1), communication unit (1.1), primary database (2), decision data generator unit 15 (3), second database (4), public transport application (5), first information interface (6) and second It includes the elements of the information interface (7). The characteristics of these elements are listed below. • At least one IoT Sensor (1) At least one IoT sensor (1) placed at least at one point inside the vehicle, vehicle 20 IoT sensor (1) status data by measuring the carbon dioxide (CO2) values ​​inside. It produces. o The status data of the produced IoT sensor (1) is transmitted over a wireless network environment to at least one It writes to the first database (2) via the communication unit (1.1). • At least one primary database (2) 25 o Status of IoT sensor (1) from IoT sensor (1) via at least one communication unit It stores data. 4 the matching table information generated by the decision data producer unit (3) warehouses. o Decision data generator unit (3) requests IoT sensor (1) status data and sends the matching table information via a communication medium. • At least one decision data generator unit (3) 5 the status data of the IoT sensor (1) produced by the IoT sensor (1) (measured carbon dioxide Matching helps determine which vehicle the data belongs to. It enables the creation of the table and its storage in the first database (2). o IoT sensor (1) status via a communication medium from the first database (2) It retrieves the data and the matching table, 10 IoT sensor (1) identity values ​​included in the IoT sensor (1) status data by reading the status data of the IoT sensor (1) carbon dioxide which IoT sensor (1) the values ​​belong to and when this measurement It determines that it has been done. IoT 15 is included in the matching table taken from the first database (2). vehicle identification information (matched) corresponding to the sensor (1) identification value By reading, it detects the vehicle in which the IoT sensor (1) is installed. o Data from the public transport application (5) related to the identified vehicle identity, public transport application (5) a communication medium from the second database (4) which is a database It takes it from there. 20 With the help of the matching table, IoT sensor (1) status data can be transferred to public transport. By matching the data of the application (5) with the IoT sensor (1) ID, vehicle ID, measured Carbon dioxide levels, vehicle information, location information, trip information, and time information. It makes the match. By calculating the vehicle's occupancy rate data based on all matched information, 25 It generates in-vehicle occupancy information (decision support (occupancy) value). Occupancy rate and the public transport it pertains to, via a communication medium. application (5) data through a communication medium first information interface (6) and transmits to the second information interface (7). • Second database (4) where public transport application (5) data is stored 30 The public transport application (5) requested by the decision data producer unit (3) It transmits its data through a communication medium. public transport application (5) produced by public transport application (5) It receives and stores data via a communication medium. • At least one primary information interface (6) 5 The decision data is based on carbon dioxide in-vehicle data calculated by the producer unit (3). Public transportation processes based on occupancy rate data (decision support values) It helps in improvement and informs passengers / users. • At least one second information interface (7) The decision data producer unit (3) calculated the carbon dioxide-based in-vehicle 10 Public transportation processes according to occupancy rate data (decision support values) It helps to improve and the managers / authorities / employer / administration It informs. Status data of the mentioned IoT sensor (1); • CO2 (carbon dioxide) data / value; carbon dioxide inside the vehicle at the time of measurement 15 It is valuable. • Timestamp; information about the time the measurement was taken. that date that hour • IoT sensor (1) ID; the identification information of the sensor that measures the carbon dioxide level inside the vehicle / 20 It shows the number. Data from the aforementioned public transport application (5); Vehicle ID Vehicle information ▪ Fuel type 25 6 ▪ Vehicle type, ▪ License plate, ▪ Passenger capacity ▪ Ventilation status Location information 5 Trip information ▪ Hat ▪ Stop ▪ Route That time information 10 History ▪ Hour (minute, second) The content of the aforementioned matching table is as follows: • The estimated vehicle occupancy rate is based on the trip and / or location of the vehicle in question. Content of the table used in the rate estimation system (100); 15 Vehicle ID; the identification information of the vehicle in which the carbon dioxide sensor is installed. It shows. o IoT sensor (2) identity; IoT placed in the vehicle whose identity is determined by the vehicle identity This value shows the identification information of the sensor (1). This value is used if the IoT sensor is installed in the vehicle. (1) If there is more than one, each IoT sensor (1) is assigned a separate ID. 20 The mentioned in-vehicle occupancy information (decision support values) is based on public transport app (5) data and / or IoT sensor (1) includes status data and / or occupancy rate data. 7 The aforementioned occupancy rate calculation is carried out using rule-based and / or artificial intelligence methods for the transition. It is calculated by also utilizing retrospective data. The occupancy rate data mentioned refers to whether the vehicle is empty, moderately full, full, or 1% empty, 50% full, or 100% full. It contains information. The invention uses data from the IoT sensor (1) inside the vehicle to the system server (100) (Figure 5). (not shown) parameters of the first database (2) and public transport application (5) and / or other existing fleet tracking systems by integrating the parameters of the second database (4); It estimates the occupancy rate of the vehicle, including location, route, and stop information. The mentioned IoT sensor (1) uses CO2 parameters for occupancy rate assessment. It provides these values. Thus, air pollution can be measured with CO2, and this parameter is 10. Changes in these values ​​determine the passenger density, which is the occupancy rate inside the vehicle. According to the results of the prediction values, the relationship between human density and CO2 in public transport vehicles... The value appears to have a positive correlation, being directly proportional. The mentioned IoT sensor (1) is used in another configuration of the technology for purposes other than carbon dioxide. The use of sensors is also possible. Multiple sensors capable of measuring factors such as humidity, temperature, and pressure are available. A sensor can also be used. The communication established by the mentioned IoT sensor (1) with the first database (2) is wireless network technology. This is provided by. In the distribution of carbon dioxide levels by hour, • At what times does the CO2 level inside the vehicle increase and, consequently, how many people are in the vehicle? times when it increases and decreases, and the timing and frequency of the journeys. Inferences are made based on the values. • Carbon dioxide values ​​produced by the IoT sensor (1) with timestamp information first data is recorded in the base (2). • When meaningful information is extracted from the recorded data, the decision data generator unit (3) 25 It is used. 8 • Data transmitted to the first information interface (6) and the second information interface (7) According to the vehicle occupancy data, decisions were made regarding issues related to improving journeys. It is given. In an example application of the invention; a possible scenario in an indoor cinema screening. Considering the pandemic situation, the hall's occupancy rate pushing the limits of carbon dioxide levels is 5. occupancy rate that, when anticipated, allows new ticket sales to be made for another venue. The system is possible. The aforementioned "occupancy rate estimate" refers to events such as cinemas, theaters, concerts, volleyball or basketball games. This also applies to events held in enclosed spaces such as schools, and only public transport is permitted. Not for vehicles. 10 The aforementioned “first information interface (6)” is the passenger mobile application and / or web interface. It is used as an information system. These interfaces depend on the scenario being used. There may be one or more of these. The aforementioned “second information interface (7)” is an interface belonging to the employer who has managerial authority. It is used as such. This interface, depending on the scenario used, has one or 15 There may be more than one. Also, the second information interface (7) has administrator privileges. Thanks to this, occupancy rate estimates can be requested from the public transport application (5). If the public transport application (5) requests it, the decision support values ​​are second can transmit to the information interface (7) via a communication medium. Within the mentioned “first information interface (6) and second information interface (7)”, data 20 It has the option of storing or not storing. The first database (2) and the second database (4) Data becomes meaningful through the use of applications and programming languages, and the initial information... It is presented to the interface (6) and the second information interface (7). At the same time, there is no database. In this case, information is requested from the decision data generator unit (3). These interfaces (6, 7) are separate. They can run on servers or be connected to a server. 25 Among the elements mentioned are communications (communication unit (1.1) and first database (2), first data with the base (2) and the decision data generator unit (3), with the public transport application (5) and the second database (4), second database (4) and decision data generator unit (3), decision data generator unit (3) and first 9 communication between the first information interface (6) and the second information interface (7) (in the figures) (not shown); data transfer via wired or wireless data communication media This communication can take place on the same server or on separate servers. it could be. The term "vehicle" used here applies to all situations describing an enclosed space. 5 The aforementioned “public transport application (5)” includes buses, trains, trams, intercity buses, airplanes, etc. These can include vehicles as well as events involving the use of enclosed spaces such as cinema, theater, and concerts. These could be applications of systems that include public transport, as described in the invention. It was used to maintain the integrity of the overall scenario. The invention is a novel addition to the equipment / system on the vehicle (public transport application (5) solution). It is installed as a separate system without modification, and two systems are located in one center. by combining data, it provides occupancy rate information for the relevant flight for both passengers and management. Therefore, a public transport application (5) trip data and CO2 IoT sensor (1) The occupancy rate information of the occupancy rate estimation system (100) is combined and the instantaneous information for the relevant flight It generates occupancy rate information. 15 The invention is not limited to the above descriptions; a person skilled in the field can easily discover different aspects of the invention. They can present applications. These fall within the scope of the protection sought by the invention through claims. These are their evaluations. Brief Description of the Invention 20 The invention is based on carbon dioxide data from IoT sensors installed in public transport vehicles. It can estimate the vehicle occupancy rate based on the processed vehicle interior air pollution levels. The invention provides a decision support system based on in-vehicle density information. The invention aims to optimize and renew the schedules for public transport vehicles. and accordingly, route / stop information arrangements can be made. 25 The invention enables the identification of drivers who are carrying too many passengers. The invention leverages information on vehicle occupancy levels to alert passengers concerned about high levels of air pollution. It enables them to plan their trips using public transportation. The invention combines occupancy rate information from an IoT sensor with schedule data from a public transport application. To ensure the matching of information and to provide meaningful information and results to units such as passengers / authorities. 5 to derive and, consequently, create decision support values. The invention provides real-time and historical information on the occupancy level of a public transport vehicle. to be determined by the carbon dioxide level and regarding the vehicle's occupancy information. users / passengers and / or managers / authorities / employer / administration It is related to a public transport information system (100) that provides information. 10 The invention involves a device placed at least at one point inside the vehicle that monitors carbon dioxide levels within the vehicle. It includes at least one IoT sensor that generates status data by measuring. The invention relates the status data of the manufactured IoT sensor (1) to the first database (2) via wireless network. It includes at least one communication unit (1.1) that enables writing with technologies. The invention transmits IoT sensor (1) status data from IoT sensor (1) via at least one communication unit 15 the matching table information created by the decision data generator unit (3) that stores and produces the decision data storing and decision data generator unit (3) IoT sensor (1) status data requested by the decision data generator unit (3) and at least one primary database that sends matching table information via a communication medium. (2) includes. The invention relates to the status data (carbon dioxide data measured) of the IoT sensor (1) produced by the IoT sensor (1) 20 Creating a matching table that helps determine which vehicle it belongs to. and a communication medium from the first database (2) that enables it to be stored in the first database (2) Receiving IoT sensor (1) status data and matching table via IoT sensor (1) status data by reading the IoT sensor (1) identity values ​​and the IoT sensor (1) status data located inside. which IoT sensor (1) the carbon dioxide values ​​inside belong to and when this 25 matching table which detects that the measurement was made and is taken from the first database (2) Vehicle ID corresponding to the ID value of the IoT sensor (1) located inside (matched) 11 By reading the information, it detects the vehicle in which this sensor is installed and the detected vehicle public transport application (5) data belonging to his identity, public transport application (5) database IoT with the help of a communication medium and matching table from the second database (4) IoT sensor (1) by matching the sensor (1) status data with the public transport application (5) data ID, vehicle ID, measured carbon dioxide levels, vehicle information, location information, trip information and 5 The vehicle's occupancy rate is determined based on time information and all matched information. by calculating the data, it generates in-vehicle occupancy information (decision support value) and uses this information in a system. through the communication medium to the first information interface (6) and the second information interface (7) It contains at least one decision data generator unit (3) that transmits. The invention generates the data of the public transport application (5) requested by the decision data generator unit (3) 10 public transport transmitted through a communication medium and produced by public transport application (5) application (5) at least a second database which stores data received through a communication medium (4) includes. The invention relates to the carbon dioxide-based in-vehicle occupancy calculated by the decision data generator unit (3). 15 that help improve public transportation processes based on ratio information (decision support values). at least one primary information interface (6) that informs passengers / users It includes. The invention relates to the carbon dioxide-based in-vehicle occupancy calculated by the decision data generator unit (3). Based on ratio data (decision support values), it helps improve public transportation processes. and a second information interface (7) 20 that informs the managers / authorities / employer / administration It includes. Invention, carbon dioxide data / value, timestamp, IoT sensor (1) ID, IoT sensor (1) status It includes at least one IoT sensor (1) containing data. The invention includes at least vehicle identification, vehicle information, location information, trip information, and time information data. It includes a public transport application (5). 25 The invention is a passenger / user information system in the form of a mobile application and / or web interface. It includes at least one usable primary information interface (6). 12 The invention relates to a manager / authority / employer / administration with managerial authority. It can be used as an information system and, thanks to its administrator privileges, it monitors occupancy. can request the rate estimate values ​​from the public transport application (5) and public transport If the application (5) requests, decision support values ​​can be provided through a communication medium. It includes at least one second information interface (7) that can receive it. 5 The invention creates at least one first-party system that can run on separate servers or be connected to a single server. It includes an information interface (6) and at least one second information interface (7). The invention involves measuring humidity, temperature, pressure, etc., inside a vehicle in another configuration of the art. It includes at least one IoT sensor (1) that can do so. The invention is based on the communications mentioned between the elements (communication unit (1.1) and first database (2), 10 first database (2) and decision data generator unit (3), public transport application (5) and second data to the base (4), second database (4) and decision data generator unit (3), decision data generator unit (3) communication between the first information interface (6) and the second information interface (7); data transfer via wired or wireless data communication media, and which may be on the same server. It includes at least one communication medium, which may also be on a separate server. 15 The invention relates to public transport application (5) data and / or IoT sensor (1) status data and / or The decision uses in-vehicle occupancy information (decision support values) which includes occupancy rate data. The data includes the producer unit (3). The invention was developed using rule-based and / or artificial intelligence methods and from transitional data as well. It includes calculating the occupancy rate using the following methods. 20 Invention is a method, Installing the IoT sensor (1) inside the vehicle, The IoT sensor (1) measures the carbon dioxide level inside the vehicle, The measured values ​​are sent to the first database (2) via the wireless network technology communication unit (1.1) transmission, 25 13 The information, along with the values ​​in question, is stored as status data in the first database (2), Matching table of the first database (2), created by the decision data generator unit (3) storing information, The first database (2) stores information and uses a communication medium to generate decision data. transfer to unit (3), 5 data of public transport application (5) are transferred to second database (4) with the help of a communication medium transfer and storage, decision data generator unit (3), IoT sensor (1) identification data and IoT sensors (1) are placed Create a matching table containing the identification information of the vehicles and transfer the said data to the first storing in the database (2), 10 decision data generator unit (3), IoT sensor (1) status data which vehicle it belongs to determination, The decision data generator unit (3) determines which sensor the IoT sensor (1) status data comes from and which sensor it comes from. detecting that measurements were taken at that time, decision data generator unit (3), IoT sensor (1) ID 15 in the matching table By matching the data with the vehicle identification data, it identifies the vehicle in which the IoT sensor (1) is installed. to do, The decision data generator unit (3) aggregates the IoT sensor (1) status data with the help of the matching table. By matching the IoT sensor (1) ID, vehicle ID, and measured data with the transportation application (5) data. Matching carbon dioxide levels, vehicle information, location information, trip information, and time information. 20 to do, decision data generator unit (3), vehicle occupancy rate data based on matching information by calculating and generating in-vehicle occupancy information (decision support value), 14 decision data generator unit (3), occupancy rate and the public transport application to which this rate belongs (5) data through a communication medium first information interface (6) and second information transmitting to the interface (7) It includes the steps. Industrial Applicability of the Invention The invention provides real-time and historical information on the occupancy level of a public transport vehicle. to be determined by the carbon dioxide (CO2) level and regarding the vehicle's interior occupancy information. users / passengers and / or managers / authorities / employer / administration It is related to a public transport information system (100) which provides information to the industry 10 It is feasible.

Claims

REQUESTS 1. The invention relates to the real-time and historical occupancy information of a public transport vehicle. to be determined by the carbon dioxide level and regarding the vehicle's occupancy information. users / passengers and / or managers / authorities / employer / administration 5 a public transport information system that provides information (100) related to, feature; placed at least at one point inside the vehicle and measuring carbon dioxide levels inside the vehicle At least one IoT sensor that generates status data, 10 The status data of the IoT sensor (1) produced is transferred to the first database (2) wireless network at least one communication unit that enables writing with technologies (1.1), status data from IoT sensor (1) received from IoT sensor (1) via at least one communication unit the matching table information created by the decision data generator unit (3) that stores and produces the decision data storing and decision data produced by the IoT sensor (1) status data requested by the unit (3) 15 and at least one primary database that sends matching table information via a communication medium. (2), Which IoT sensor (1) status data (measured carbon dioxide data) is produced by the IoT sensor (1)? Creating a matching table that helps determine which vehicle it belongs to, and 20 which enables storage in the first database (2) and a communication medium from the first database (2) Receiving IoT sensor (1) status data and matching table via IoT sensor (1) status data by reading the IoT sensor (1) identity values ​​and the IoT sensor (1) status data located inside. which IoT sensor (1) the carbon dioxide values ​​inside belong to and when this matching table which detects that the measurement was made and is taken from the first database (2) Vehicle ID 25 corresponding to the ID value of the IoT sensor (1) located inside (matched). By reading the information, it detects the vehicle in which this sensor is installed and the detected vehicle public transport application (5) data belonging to his identity, public transport application (5) database 16 IoT with the help of a communication medium and matching table from the second database (4) IoT sensor (1) by matching the sensor (1) status data with the public transport application (5) data identity, vehicle identity, measured carbon dioxide values, vehicle information, location information, trip information and The vehicle's occupancy rate is determined based on time information and all matched information. By calculating the data, it generates in-vehicle occupancy information (decision support value) and presents this information as a 5-bit system. through the communication medium to the first information interface (6) and the second information interface (7) transmitting at least one decision data generator unit (3), The public transport application (5) data requested by the decision data producer unit (3) public transport transmitted through the communication medium and produced by the public transport application (5) application (5) at least one second database that stores data received through a communication medium 10 (4), Carbon dioxide-based in-vehicle occupancy rate calculated by decision data producer unit (3) based on their information (decision support values), they help improve public transportation processes. and at least one primary information interface (6) that informs passengers / users, Carbon dioxide-based vehicle occupancy rate calculated by decision data producer unit (3) 15 It helps improve public transportation processes based on information (decision support values). and a second information interface that informs the managers / authorities / employer / administration (7) It includes.

2. According to claim 1, a system (100) has the following features: carbon dioxide data / value, timestamp, The IoT sensor (1) ID contains at least one IoT sensor (1) with IoT sensor (1) status data. 20 3. According to claim 1, a system (100) has the following features: vehicle ID, vehicle information, location information, trip This includes at least one public transport application (5) which contains information and time information data.

4. According to claim 1, a system (100) is characterized by being a mobile application and / or web interface. at least one primary information interface that can be used as a passenger / user information system. (6) includes. 25 5. According to claim 1, a system (100) is characterized by having administrators with administrative authority / It can be used as an information system for authorities / employers / administration and for managers. Thanks to its authority, it can obtain occupancy rate prediction values ​​from the public transport application. 17 (5) can request and decision support if the public transport application (5) requests. at least a second information interface (7) that can receive its values ​​through a communication medium It includes.

6. According to claim 1, a system (100) has the characteristic that it can run on separate servers as well as a at least one primary information interface (6) which can also be connected to the server and at least one secondary 5 It includes an information interface (7).

7. It is a system according to Claim 1, the characteristic of which is that it is located inside a vehicle in another configuration of the technology. It includes at least one IoT sensor (1) that can take measurements such as humidity, temperature, and pressure.

8. According to claim 1, a system (100) is characterized by the communications mentioned between the elements. (communication unit (1.1) and first database (2), first database (2) and decision data generator unit 10 (3), public transport application (5) to the second database (4), decision data with the second database (4) producer unit (3), decision data producer unit (3) and first information interface (6) and second Communication between the information interface (7); via wired or wireless data communication media at least one communication channel that transmits data and can be on the same server or a separate server. It includes the environment. 15 9. It is a system according to claim 1, and its feature is; public transport application (5) data and / or IoT. in-vehicle occupancy information (decision) containing sensor (1) status data and / or occupancy rate data. It includes a decision data generator unit (3) that uses support values.

10. According to claim 1, a system (100) is characterized by its rule-based and / or artificial intelligence methods. calculating the occupancy rate using data from transitions as well. It includes.

11. It is a method according to claim 1, and its characteristic is; Installing the IoT sensor (1) inside the vehicle, The IoT sensor (1) measures the carbon dioxide level inside the vehicle, The measured values ​​are sent to the first database (2) via the wireless network technology communication unit (1.1) 25 transmission, The information, along with the values ​​in question, is stored as status data in the first database (2), 18 Matching table of the first database (2), created by the decision data generator unit (3) storing information, The first database (2) stores information and uses a communication medium to generate decision data. transfer to unit (3), Data belonging to the public transport application (5) are transferred to the second database (4) with the help of a communication medium. transfer and storage, decision data generator unit (3), IoT sensor (1) identification data and IoT sensors (1) are placed Create a matching table containing the identification information of the vehicles and transfer the said data to the first (2) storing in the database, The decision data generator unit (3) determines which vehicle the IoT sensor (1) status data belongs to. determination, The decision data generator unit (3) determines which sensor the IoT sensor (1) status data comes from and which sensor it comes from. detecting that measurements were taken at that time, The decision data generator unit (3) includes the IoT sensor (1) identity in the matching table. By matching the data with the vehicle identification data, the vehicle in which the IoT sensor (1) is installed can be identified. to do, The decision data generator unit (3) aggregates the IoT sensor (1) status data with the help of the matching table. By matching the IoT sensor (1) ID, vehicle ID, and measured data with the transportation application (5) data. matching carbon dioxide levels, vehicle information, location information, trip information, and time information. doing, 20 decision data generator unit (3), vehicle occupancy rate data based on matching information by calculating and generating in-vehicle occupancy information (decision support value), decision data generator unit (3), occupancy rate and the public transport application to which this rate belongs (5) data through a communication medium first information interface (6) and second information transmit to the interface (7) 25 19 It includes the steps. 10

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