With the development of the economy and science and technology, the construction scale of urban rail transit networks is gradually deepening and improving, and it tends to the development trend of network operation. Passengers can choose more travel plans between destination stations. The diversity of passenger travel plans leads to uneven passenger flow distribution, on the other hand, which makes the operation and management of urban rail transit face great challenges. At the same time, with the rise of the concept of travel and service, passengers' requirements for travel services are gradually improving. At present, the main travel route recommendations are mainly based on the comparison of the routes themselves, and the characteristics and needs of passengers are less considered. Therefore, it is of great significance to provide passengers with efficient and accurate urban rail travel routes suitable for them. In this paper, a travel route recommendation method based on passenger portrait is proposed, and grouping design is carried out based on passenger portrait, to provide a travel plan that meets the characteristics and needs of passengers for low-frequency passengers. This method quantifies the characteristics of passengers’ travel and gives a personalized travel recommendation scheme, which provides passengers with accurate operation services, improves service quality, and improves the efficiency of passenger flow organization of operation managers.


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    Title :

    Research on Travel Route Recommendation of Urban Rail Transit Based on Passenger Portrait


    Additional title:

    Lect. Notes Electrical Eng.


    Contributors:
    Qin, Yong (editor) / Jia, Limin (editor) / Yang, Jianwei (editor) / Diao, Lijun (editor) / Yao, Dechen (editor) / An, Min (editor) / He, Jie (author) / Qin, Yong (author) / Sun, Xuan (author) / Guo, Jianyuan (author)

    Conference:

    International Conference on Electrical and Information Technologies for Rail Transportation ; 2023 ; Beijing, China October 19, 2023 - October 21, 2023



    Publication date :

    2024-02-03


    Size :

    12 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English




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