In order to encourage carpooling between workplace personnel and college students, this research article gives a unique method that makes use of machine getting to know and synthetic intelligence (AI) algorithms. The file contends that although carpooling remains an underused mode of transportation, it has the ability to significantly lessen visitors’ congestion and air pollution in metropolitan areas. The look at shows a brand-new web tool that compares commuter routes for drivers and passengers while taking vicinity, vacation spot, and preference into attention. Users might also chat with each other and prepare excursions at the utility’s user-pleasant platform. The effectiveness of the advised software in encouraging carpooling and decreasing traffic congestion and air pollution is classified within the article. The studies’ conclusions offer insightful information on how carpooling can be used to alleviate urban transportation issues.


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    Title :

    Intelligent Carpooling - Machine Learning Route and Pickup Optimisation


    Contributors:


    Publication date :

    2024-02-09


    Size :

    342617 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English




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