Intelligent travel method and system for low-carbon travel

Abstract

The invention discloses an intelligent travel method and system for low-carbon travel, and the method comprises the steps: S1, regularly and automatically obtaining the newest flight carbon emission data from international and domestic aviation data platforms, and obtaining the carbon emission data of ground transportation modes except the flight in a virtual flight; s2, integrating flights and ground transportation modes, providing a comprehensive travel scheme, and searching a travel result according to a travel request input by a user; s3, splitting each journey result into segments, hooking freight rate information and flight and ground traffic mode information after splitting, generating a journey result, and verifying the journey result; s4, for each stroke section passing the verification, calculating the carbon dioxide emission amount per minute allocated by unit passengers in each stroke section according to the carbon emission data, and counting and calculating the total carbon emission amount of the unit passengers in the whole stroke; and S5, hanging the carbon emission data information in each stroke result and displaying the carbon emission data information. According to the invention, stroke carbon emission data is displayed, and a user can make an environmental protection choice conveniently.

Description

Technical Field

[0001] The present invention relates to a low-carbon travel technology, in particular to an intelligent travel method and system for low-carbon travel. Background Art

[0002] In the process of globalization and modernization, the civil aviation industry, as an important link connecting the world, has been growing in speed and scale. However, the carbon emission problem has become increasingly prominent, attracting widespread attention from the international community. According to statistics from the International Air Transport Association (IATA), the carbon emissions of the aviation industry account for about 2% of the global man-made carbon dioxide emissions, and this proportion has been increasing year by year.

[0003] Faced with this challenge, although the aviation industry has taken a series of measures to improve fuel efficiency and reduce carbon emissions, such as improving aircraft design, optimizing routes and operational processes, there is still a lack of a comprehensive and systematic solution to comprehensively manage the carbon footprint of air travel.

[0004] Existing technologies have obvious shortcomings in carbon emission management. First, most airlines and travel service platforms only provide itinerary planning based on a single mode of transportation (such as airplanes), and fail to fully utilize the potential of multimodal transport to reduce the carbon emissions of the overall journey. Second, existing itinerary recommendation systems usually do not take into account users' low-carbon travel preferences, and lack personalized low-carbon travel plans based on user travel preferences, historical data and carbon emission targets. In addition, the integration of real-time freight rates and carbon emission data is insufficient, and it is difficult for users to fully evaluate their cost-effectiveness and environmental impact when searching and comparing different itinerary options. At the same time, although there are some carbon offset projects on the market, they are often disconnected from the itinerary planning process, and users need to purchase carbon offset quotas separately on different platforms or services. This process is neither convenient nor transparent. Finally, when choosing a travel plan, users lack intuitive tools to compare the carbon emissions of different routes or modes of transportation, which limits their ability to make environmentally friendly choices. Summary of the invention

[0005] In response to the above problems, the present invention proposes a smart itinerary implementation method and system for low-carbon travel, which aims to recommend low-carbon plans based on the user's travel preferences and carbon emission targets through a convenient and fast algorithm, integrate different modes of transportation to optimize multimodal transport, and display freight rates and carbon emission data in real time to facilitate users to make environmentally friendly choices.

[0006] To this end, the present invention provides, on one hand, a method for realizing an intelligent itinerary for low-carbon travel, comprising the following steps: S1, regularly and automatically obtaining the latest flight carbon emission data from international and domestic aviation data platforms, and obtaining the carbon emission data of ground transportation modes other than flights in virtual flights; S2, integrating flights and ground transportation modes, providing a comprehensive travel plan, and searching for itinerary results according to itinerary requests input by users; S3, splitting each itinerary result into segments, each itinerary segment representing a single mode of transportation, and after splitting, attaching freight rate information, flight and ground transportation mode information, generating itinerary results and verifying them; S4, for each itinerary segment that passes the verification, according to the carbon emission data of flights and ground transportation modes, calculating the carbon dioxide emissions per minute shared by each passenger in each itinerary segment, and calculating the total carbon emissions of the entire itinerary per passenger based on this; S5, attaching the carbon emission data information to each itinerary result and displaying it.

[0007] According to another aspect of the present invention, a smart itinerary system for low-carbon travel is provided, comprising a data processing module, an intermodal transport module, a central database, a carbon compensation calculation module, and a display module, wherein the data processing module is used to automatically obtain the latest flight carbon emission data from international and domestic air traffic information platforms every month, and calculate the carbon dioxide emissions per minute shared by each passenger in each flight based on the data, and store the data in the central database; the intermodal transport module is used to obtain the carbon emission data of ground transportation modes other than flights in a virtual flight, and calculate the carbon dioxide emissions per minute shared by each passenger in the corresponding itinerary segment of the ground transportation mode based on the data, and store the data in the central database; the carbon compensation calculation module is used to integrate flights and ground transportation modes, provide a comprehensive travel plan, and search for itinerary results according to the itinerary request input by the user; split each itinerary result into segments, each itinerary segment represents a single transportation mode, and after splitting, the fare information, flight and ground transportation mode information are attached to generate itinerary results and verify them; for each itinerary segment that passes the verification, according to the carbon dioxide emissions per minute shared by each passenger in each itinerary segment, the total carbon emissions per passenger in the entire itinerary are statistically calculated; and the carbon emission data information is attached to each itinerary result.

[0008] The present invention also provides a computer program product, including a computer program, which is used to implement the steps of the above-mentioned intelligent itinerary implementation method for low-carbon travel when executed.

[0009] By integrating real-time flight data and multimodal transport options, the system can provide users with comprehensive travel options, including direct flights and connecting flights, and even virtual flight options such as buses and subways. This comprehensive approach not only increases the possibility of users choosing low-carbon travel options, but also encourages green travel habits by giving priority to showing itinerary results with low carbon emissions.

[0010] In addition, the present invention also helps airlines and transportation operators better understand the impact of their operations on the environment by providing carbon emission data information of itinerary results, and optimize their operation strategies accordingly to further reduce carbon emissions. In the long run, the implementation of this technical solution will help promote the entire aviation and transportation industry to develop in a more sustainable direction and contribute to achieving global carbon emission reduction goals.

[0011] Other features and advantages of the present invention will be described in the following description, and partly become apparent from the description, or understood by practicing the present invention. The purpose and other advantages of the present invention can be realized and obtained by the structures pointed out in the description, claims and drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0012] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0013] Figure 1 A flow chart of a method for realizing a low-carbon travel intelligent itinerary according to the present invention is shown.

[0014] Figure 2 A block diagram of a low-carbon travel intelligent itinerary system according to the present invention is shown;

[0015] Figure 3 The operation flow chart of the data processing module in the system according to the present invention is shown;

[0016] Figure 4 The operation flow chart of the multimodal transport module in the system according to the present invention is shown;

[0017] Figure 5 A CSV table showing the carbon emissions of flights used in the system according to the present invention is shown; DETAILED DESCRIPTION

[0018] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work.

[0019] like Figure 1 As shown, the low-carbon travel smart itinerary implementation method of the present invention includes the following steps S1-S5.

[0020] S1. Automatically obtain the latest flight carbon emission data from international and domestic air traffic information platforms every month, and obtain the carbon emission data of ground transportation modes other than flights in virtual flights.

[0021] S2. Integrate flights and ground transportation to provide comprehensive travel solutions and search for itinerary results based on the itinerary request entered by the user.

[0022] S3. Split each trip result into segments, each trip segment represents a single mode of transportation, and after splitting, attach the freight rate information, flight and ground transportation information to generate and verify the trip result.

[0023] S4. For each itinerary segment that has passed the verification, the carbon dioxide emissions per minute allocated to each passenger in each itinerary segment are calculated based on the carbon emission data of flights and ground transportation, and the total carbon emissions per passenger for the entire itinerary are calculated based on this.

[0024] S5. Attach the carbon emission data information to each trip result and display it.

[0025] like Figure 2 As shown, the intelligent itinerary system for low-carbon travel of the present invention includes a data processing module, a multimodal transport module, a carbon compensation calculation module, and a display module.

[0026] The following is a detailed description of the low-carbon travel smart itinerary solution of the present invention in conjunction with the smart itinerary system and implementation method.

[0027] As a key component of the low-carbon travel smart itinerary solution of the present invention, the data processing module plays a vital role. Its core task is to automatically obtain the latest flight carbon emission data from international and domestic air traffic information platforms every month. At the same time, the multimodal transport module will also collect carbon emission data from other modes of transportation, integrate them, and carefully organize and store them in a central database.

[0028] This central database not only serves as a hub for data storage, but also serves as the basis for the system's carbon emissions calculation module.

[0029] When a user initiates a trip request, the system will respond quickly, calculate all possible direct flights or flights with refueling and transfers on the same flight, and extract the carbon emission data information generated by the data processing module to provide users with detailed carbon emissions information for each trip.

[0030] For those itineraries involving virtual flights, such as complex multimodal transport involving buses, ships and coaches, the system delegates these tasks to a dedicated multimodal transport module.

[0031] The multimodal transport module splits the transportation information used in each transport segment of the journey and reads the carbon emission data corresponding to the corresponding virtual flight from the database to ensure that the carbon footprint information of the entire journey is complete.

[0032] Subsequently, these processed carbon emission data will be sent to the carbon compensation calculation module for accurate carbon emission calculation.

[0033] Ultimately, the system will attach the calculated total carbon emissions to the itinerary and intuitively display the total carbon emissions of the itinerary in the user's itinerary results, allowing users to understand at a glance the overall impact of their chosen itinerary plan on the environment.

[0034] 1. The data processing module is mainly responsible for data collection and pre-processing of flight carbon emissions.

[0035] like Figure 3 As shown in the figure, the pretreatment of flight carbon emissions is mainly carried out in the following three key steps:

[0036] 1. Calculate the total CO2 emissions of your flight

[0037] a. The flight schedule database is queried based on the selected route: If a match is found, up to 10 aircraft types are available for the user to choose from. By default, the most commonly used aircraft type is pre-selected. If no match is found, the (great circle) distance between the departure and destination airports is calculated based on the route. Up to 10 aircraft types with similar flying distances are available for the user to choose from. By default, the most commonly used aircraft type is pre-selected.

[0038] b. Total flight time (ground block time, gate to gate) depends on the route and the aircraft selected. Even when operating the same aircraft type, the scheduled flight time for a particular route may vary. In these cases, a weighted average flight time is used.

[0039] c. The IATACO2Connect calculator uses a time-based algorithm. Therefore, the flight time is multiplied by the fuel consumption factor (in kg / minute) for the selected aircraft type. The total fuel consumption for a flight is calculated.

[0040] d. Multiply the fuel consumption by the ICAO CORSIA jet kerosene carbon emission factor of 3.16 to get the total CO2 emissions of the flight.

[0041] 2. Allocate CO2 emissions between passengers and (belly) cargo

[0042] a. The estimated number of passengers on a flight is calculated based on the cabin configuration and load factor of the selected aircraft.

[0043] b. The total weight of all passengers (and their luggage) is calculated by multiplying the number of passengers by the standard weight of 100 kg.

[0044] c. Estimated (belly) cargo weight is determined by aircraft type.

[0045] d. Calculate the ratio of total passenger weight to total weight (passengers + belly cargo).

[0046] e. The total CO2 emissions of the flight are multiplied by this ratio to give the share of all passengers in the emissions of the flight. The difference between the total CO2 emissions of the flight and the total CO2 emissions of all passengers is the CO2 emissions allocated to belly cargo.

[0047] 3. Allocate carbon emissions to each passenger based on cabin / travel class

[0048] a. For each cabin class (Economy Class, Premium Economy Class, Business Class or First Class), the expected number of seats in that cabin class depends on the aircraft type selected.

[0049] b. Based on the cabin class, the CO2 emissions are allocated to passengers according to the carbon emissions of all passengers and the ratio of "cabin factor of the selected cabin" to "the sum of all cabins (number of cabin seats * cabin class factor)".

[0050] c. The cabin class selected by the passenger is used to calculate and display CO2 emissions.

[0051] 2. The multimodal transport optimization module is mainly responsible for collecting carbon emission data from other modes of transportation and pre-processing

[0052] like Figure 4 As shown, data for other modes of transportation are imported through the external multimodal transport module.

[0053] For example, for buses, it is necessary to collect the number of liters of fuel consumed by the bus and the distance traveled by the train. The carbon dioxide emissions of the bus (Kg) = number of liters of fuel consumed × 0.785.

[0054] The carbon emissions of trains can be calculated by the distance traveled. The specific formula is: carbon dioxide emissions from train travel (kg) = distance traveled (km) × 0.04.

[0055] The carbon emissions of the ship are calculated based on the actual measurement data by the ship partner based on the actual measurement method, and the carbon emissions data are imported into the database waiting for calculation.

[0056] The input items of the multimodal transport module are the three-letter codes of the origin and destination of each means of transport, the number of liters of fuel consumed by buses, the actual distance traveled by trains, the actual carbon emission data of ships, the predicted travel time, the predicted actual passenger capacity, the total passenger capacity, etc. The output items are the multimodal transport vehicle csv table, and the table structure involves the following items: type of transport (such as BUS, TRAIN, BOAT); model of transport (such as tram, oil car, motor car, high-speed rail, ship), month, passenger load factor, and CO2 emission per person per minute.

[0057] The multimodal transport module calculates the load factor by predicting the actual passenger capacity of the trip, that is, the ratio of the predicted passenger capacity to the total passenger capacity. Using the load factor and emissions data, we can further calculate the average carbon dioxide emissions per passenger in the trip and their emissions per minute. This entire calculation process helps to analyze the environmental impact of different transportation modes and provide decision support for improving transportation efficiency and reducing carbon footprint.

[0058] 3. The carbon emission calculation module is mainly responsible for integrating different modes of transportation and providing a comprehensive travel solution

[0059] The carbon emission calculation module first receives a trip request input by a user, and searches for trip results including information such as a departure place, a destination, a departure date, and the number of passengers.

[0060] This system breaks down complex itineraries into simple segments through itinerary splitting, each of which represents a single mode of transportation, such as a direct flight, a connecting flight, or a virtual flight (bus, subway, ship, coach, etc.).

[0061] After the split, the system will attach the freight rate information, calculate the cost for each segment of the journey, and attach the detailed information of the flight and the virtual flight to ensure that the detailed information of all segments of the journey are accurately recorded. When generating the itinerary results, the system verifies each itinerary according to the rules set by each airline to ensure that all itineraries meet the requirements of safety, convenience and cost control.

[0062] The verified trip results will be further processed to calculate the carbon emissions of each trip. At this time, the system will assign corresponding carbon emissions to each trip segment according to the CSV file generated by the data processing module. The system adds up the carbon emissions of all trip segments to get the total carbon emissions of the entire trip.

[0063] When the system displays all the trip results, it will attach the carbon emission data information to each trip result, so that users can intuitively see the carbon emission of each trip, and users can also choose to prioritize trips with low carbon emissions. This not only helps users choose more environmentally friendly travel options, but also encourages low-carbon travel habits, which helps achieve the carbon peak target.

[0064] To ensure the security and performance of the system, all user data transmissions are encrypted using HTTPS.

[0065] The system implements multiple layers of security measures, including data encryption, access control, and security auditing. In terms of performance, the system uses Redis to cache frequently queried carbon emission data to reduce the number of database accesses, and uses load balancing technology to disperse requests to multiple servers under high traffic conditions. In terms of system monitoring and maintenance, Prometheus and Grafana are used to monitor system performance, and the ELK stack records and analyzes logs. Through these measures, the system can ensure data security and privacy while providing efficient services.

[0066] The following is an example of how to calculate carbon emissions during an airplane flight.

[0067] Calculate the total fuel consumption: First, calculate the total fuel consumption (11,600 kg) based on the flight time (145 minutes) and the fuel consumption rate per minute (80 kg / min).

[0068] Calculate total CO2 emissions: Next, use the total fuel consumption (11,600 kg) and multiply it by the emission factor (3.16 kg of CO2 per kg of fuel) to get the total CO2 emissions (36,656 kg of CO2).

[0069] Calculate the total passenger weight: Then, based on the total number of passengers (240) and the average weight per person (100 kg), calculate the total passenger weight (24,000 kg).

[0070] Calculate the total passenger and cargo weight: Using the total passenger weight (24,000 kg) and the passenger weight percentage (90%), calculate the total passenger and cargo weight (24,000 kg + 2,666 kg).

[0071] Calculate passenger CO2 emissions: Multiply the total CO2 emissions (36,656 kg CO2) by the passenger weight share (90%) to arrive at passenger CO2 emissions (32,990 kg CO2).

[0072] Calculate CO2 emissions for passengers in different classes: Finally, the CO2 emissions for passengers in each class are calculated based on the number of passengers in Economy, Premium Economy, Business and First Class and their respective class factors. The calculation is done by multiplying the number of passengers in each class by the corresponding class factor and then adding them up. This calculation takes into account flight time, fuel consumption, passenger and cargo weight, and passenger distribution in different classes to estimate the carbon emissions of the entire flight.

[0073] In the low-carbon travel smart itinerary solution system, the implementation method of the carbon emission calculation module covers the entire process from data collection to final display. The following are three specific implementation examples, corresponding to direct flights, flight connections, and air-rail transport.

[0074] Example 1: Calculation of carbon emissions from direct flights

[0075] Suppose a user plans to fly directly from Beijing (PEK) to Shanghai (SHA). The system will perform the following operations: The user first selects the departure point "Beijing", the destination "Shanghai", the economy class, and sets the departure date to "2024-10-01" on the system interface. The system then splits the itinerary. Suppose the system splits a direct flight path from Beijing (PEK) to Shanghai (SHA). Next, the system will attach flight information, locate all available direct flights from PEK to SHA, including flights with the aircraft type MU 319, and obtain detailed information including flight number, estimated departure and arrival time. Based on the itinerary results that have passed the rule verification, the system starts to calculate the carbon emissions. By querying the CSV file, the airline, aircraft model, and cabin in the itinerary results are matched with the data in the CSV table. According to the airline MU, aircraft model 319, and economy class, the corresponding CO2 emissions per person per minute are extracted. Assuming the flight time is 155 minutes, the carbon emissions of passengers in economy class in this itinerary can be calculated as 155X1.1180827=173.3028185kg / person. Finally, the system will display the itinerary results, including flight details, fare details, and the corresponding carbon emissions of passengers in this itinerary.

[0076] Example 2: Calculation of carbon emissions from connecting flights

[0077] Suppose a user plans to depart from Beijing (PEK) to New York (JFK) and chooses a flight with a transfer in Seoul (I CN): In the user input processing stage, the user enters the departure place "Beijing", the destination "New York" and sets the departure date to "2024-10-01" in the system interface. Next, the system automatically gives a connecting flight plan when searching for the route and splits the entire itinerary into two segments: from PEK to I CN, and then from I CN to JFK. The system then connects to the flight information, finds and lists all available flights from PEK to I CN and from I CN to JFK. When calculating carbon emissions, the system calculates the carbon emissions of each segment separately. Take the flight time from PEK to I CN as 180 minutes and the flight time from I CN to JFK as 15 hours (i.e. 900 minutes) as an example, and assume that the user takes the MU319 model from PEK to I CN and the 31B model from I CN to JFK. Given that the passenger chose economy class, the system will calculate the passenger's total carbon emissions for the entire journey as 180 minutes multiplied by 1.1180827 kg per minute, plus 15 hours multiplied by 1.1180827 kg per hour. Finally, the system will display the itinerary results including the details of the connecting flights and the total carbon emissions.

[0078] Example 3: Calculation of carbon emissions from air-rail transport

[0079] Assume that the user plans to travel from Beijing (PEK) to New York (JFK) and chooses the air-rail intermodal mode of airplane and high-speed rail: During the user input processing stage, the user enters the departure place "Beijing", the destination "New York", the departure date "2024-10-01" in the system interface, and selects "air-rail intermodal" as the travel mode. The system then splits the itinerary into two main segments: first, the high-speed rail virtual flight segment from PEK to Shanghai Hongqiao Airport (SHA), and then the airplane intermodal segment from Shanghai to JFK. The system then connects the specific information of each transportation segment, including flight and train schedules, aircraft models, estimated travel time, etc. When calculating carbon emissions, the system will calculate the carbon emissions of each transportation segment separately. Take the train time from PEK to SHA as 120 minutes, the flight time from SHA to JFK as 1200 minutes, and assume that the PEK to SHA section is taken by train, and the SHA to JFK section is taken by MU913 aircraft, and the user chooses economy class as an example. The system will calculate the total carbon emissions of the passenger in the entire journey as 120 minutes multiplied by the kilograms of carbon emissions per minute for each passenger of this type of vehicle in the multimodal transport table, plus 1200 minutes multiplied by the kilograms of carbon emissions per minute for each passenger of this type of vehicle in the flight table. In addition, the system also needs to consider the carbon emissions of the bus or subway connection from SHA to Shanghai Railway Station. Assuming that the travel time for this section is 30 minutes, the kilograms of carbon emissions per minute for each passenger of this type of vehicle in the multimodal transport table should be multiplied, and the three pieces of data should be added together to form the final carbon emissions. The system will display the itinerary results including detailed information for each transportation segment and the total carbon emissions of the entire air-rail intermodal journey.

[0080] Through these examples, we can see how the system calculates the corresponding carbon emissions based on different travel needs and provides them to users as a reference for travel decisions.

[0081] The following describes the CSV table of flight carbon emissions (such as Figure 5 The table contains the airline, aircraft type, and month. The data in the table is the CO2 emissions per person per minute for Economy Class, Premium Economy Class, Business Class, and First Class. The system should find the CO2 estimate based on the following combination of airline, aircraft type, and month:

[0082] a. If a match is found between airline, aircraft and travel month, the values ​​for each travel class reflecting airline specific data will be displayed (flag = 1).

[0083] b. If no match is found, then the values ​​for each travel class reflecting generic industry data for that aircraft type will be displayed (flag = 2).

[0084] The system should multiply columns (4) Econ (5) Prem (6) Bi z (7) First (as appropriate) by the travel time in minutes to obtain the final CO2 estimate.

[0085] The system can also integrate carbon offset functions in trip planning, allowing users to directly purchase carbon offset quotas to achieve carbon neutrality. In addition, the system can also provide a visualization tool, such as a carbon emission map, to show the carbon emission distribution of different routes or modes of transportation, helping users understand the environmental impact of different choices.

[0086] Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent substitutions for some of the technical features therein; and these modifications or substitutions do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for realizing a smart itinerary for low-carbon travel, characterized in that , including the following steps: S1. Regularly and automatically obtain the latest flight carbon emission data from international and domestic aviation data platforms, and obtain carbon emission data of ground transportation modes other than flights in virtual flights; S2. Integrate flights and ground transportation to provide comprehensive travel solutions and search for itinerary results based on the itinerary request entered by the user; S3, split each trip result into segments, each trip segment represents a single mode of transportation, after splitting, attach the freight rate information, flight and ground transportation mode information, generate the trip result and verify it; S4. For each itinerary segment that has passed the verification, the carbon dioxide emissions per minute allocated to each passenger in each itinerary segment are calculated based on the carbon emission data of flights and ground transportation, and the total carbon emissions of the entire itinerary per passenger are calculated based on this. S5. Attach the carbon emission data information to each trip result and display it.

2. The method for realizing the intelligent itinerary of low-carbon travel according to claim 1 is characterized in that The itinerary request includes a departure place, a destination, a departure date, a flight mode preference, and a cabin / travel class preference. The flight mode preference includes direct flights, transfer flights, and virtual flights. The virtual flight is a combination of flight and ground transportation.

3. The method for realizing the intelligent itinerary of low-carbon travel according to claim 1 is characterized in that ,All trip results are sorted from small to large according to the total carbon emissions, and all trip results are displayed.

4. The method for realizing the intelligent itinerary of low-carbon travel according to claim 1 is characterized in that ,The carbon emission data information includes the total carbon emissions of the entire journey of a unit passenger and the carbon dioxide emissions per minute allocated to the unit passenger in each journey segment.

5. The method for realizing the intelligent itinerary of low-carbon travel according to claim 1 is characterized in that ,The comprehensive travel plan includes direct flights, transfer and virtual flights.

6. The method for realizing the intelligent itinerary of low-carbon travel according to claim 1 is characterized in that , based on the carbon emission data of flights and ground transportation, calculate the carbon dioxide emissions per minute per passenger in each journey segment, including the carbon dioxide emissions per minute per passenger in the flight journey segment and the carbon dioxide emissions per minute per passenger in the journey segment corresponding to the ground transportation mode.

7. The method for realizing the intelligent itinerary of low-carbon travel according to claim 6 is characterized in that ,Calculate the carbon dioxide emissions per minute per passenger in the flight journey segment, specifically including the following steps: S41. Calculate the total carbon dioxide emissions per minute of the flight; S42. Allocate CO2 emissions between passengers and belly cargo; S43. Allocate carbon emissions to each passenger based on cabin / travel class.

8. The method for realizing a smart itinerary for low-carbon travel according to claim 6 is characterized in that ,Calculate the carbon dioxide emissions per minute per passenger in the corresponding journey segment of ground transportation, specifically including the following steps: S44, calculating the passenger load factor by predicting the actual passenger load of the trip, that is, the ratio of the predicted passenger load to the total passenger load; S45. Using the load factor and emissions data, calculate the average CO2 emissions per passenger during the journey, as well as their emissions per minute.

9. A low-carbon travel intelligent itinerary system, characterized in that: It includes data processing module, multimodal transport module, carbon compensation calculation module and display module, among which: The data processing module is used to automatically obtain the latest flight carbon emission data from international and domestic air traffic information platforms every month, calculate the carbon dioxide emissions per minute per passenger in each flight, and store it in the central database; The multimodal transport module is used to obtain carbon emission data of ground transportation modes other than flights in the virtual flight, and calculate the carbon dioxide emissions per minute allocated to each passenger in the corresponding itinerary segment of the ground transportation mode based on the data, and store it in the central database; The carbon compensation calculation module is used to integrate flights and ground transportation modes, provide a comprehensive travel plan, and search for itinerary results according to the itinerary request input by the user; split each itinerary result into segments, each itinerary segment represents a single transportation mode, and after the split, the freight rate information, flight and ground transportation mode information are attached to generate and verify the itinerary results; for each itinerary segment that passes the verification, the total carbon emissions of the unit passenger for the entire itinerary are statistically calculated based on the per-minute carbon dioxide emissions allocated to the unit passenger in each itinerary segment; and the carbon emission data information is attached to each itinerary result.

10. A computer program product, comprising a computer program, characterized in that When executed, the program is used to implement each step of the method for realizing a smart itinerary for low-carbon travel according to any one of claims 1 to 8.

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