The theory and design method of campus traffic planning is an important part of the overall campus planning. At present, the planning and design of university campus roads refer to the planning and design of urban roads to a great extent, but there are some differences between the urban traffic organization and that of university campus. The intelligent transportation system needs the traffic state prediction of the road network, but most of the current traffic state prediction methods are single-section prediction methods, which seldom consider the relationship between adjacent sections. Only the simple sum of traffic conditions of each section cannot reflect the spatial distribution of road network sections. In this paper, through the analysis and research of road planning and design and road traffic organization of university campus, an intelligent planning model of university campus road based on Support Vector Machine (SVM) algorithm is proposed. The experimental results show that the errors of this algorithm are small, and the accuracy rate is high, reaching 92.84%, which is about 18% higher than the traditional algorithm. Therefore, this method can build a good campus humanistic environment and natural environment, and effectively reduce the interference of motor vehicles on students.


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    Title :

    Construction of university campus road planning decision system based on support vector machine algorithm


    Contributors:
    Patnaik, Srikanta (editor) / Shen, Tao (editor) / Ren, Yiqing (author) / Shao, Shuai (author)

    Conference:

    Seventh International Conference on Mechatronics and Intelligent Robotics (ICMIR 2023) ; 2023 ; Kunming, China


    Published in:

    Proc. SPIE ; 12779


    Publication date :

    2023-09-11





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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