The invention discloses an urban traffic network traffic flow prediction method considering a carbon emission model. According to the invention, a carbon emission index is introduced and is brought into charge accounting, so that the road network flow prediction precision is improved, and the current low-carbon energy-saving emission-reducing green travel concept and development trend are met; according to the invention, a carbon emission gradient activation acceleration algorithm G3ACE is adopted, so that a prediction result keeps high precision, and the number of iterations is effectively reduced at the same time, that is, compared with an original algorithm, more efficient and faster prediction is realized.

    本发明公开了一种考虑碳排放模型的城市交通路网交通流量预测方法;本发明引入碳排放量指标并将其纳入费用核算,使路网流量预测精度提高并且符合当下低碳节能减排绿色出行理念和发展趋势;本发明采用碳排放的梯度激活加速算法G3ACE使得预测结果保持较高精度的同时有效减少迭代次数,即相较原算法实现更为高效快速的预测。


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    Title :

    Urban traffic road network traffic flow prediction method considering carbon emission model


    Additional title:

    一种考虑碳排放模型的城市交通路网交通流量预测方法


    Contributors:
    LI RUI (author) / HU YUEGUI (author) / YANG ZHIJIA (author) / XU HAORUO (author) / JIANG MENGYAO (author) / ZHENG GE (author)

    Publication date :

    2024-10-29


    Type of media :

    Patent


    Type of material :

    Electronic Resource


    Language :

    Chinese


    Classification :

    IPC:    G08G Anlagen zur Steuerung, Regelung oder Überwachung des Verkehrs , TRAFFIC CONTROL SYSTEMS / G06Q Datenverarbeitungssysteme oder -verfahren, besonders angepasst an verwaltungstechnische, geschäftliche, finanzielle oder betriebswirtschaftliche Zwecke, sowie an geschäftsbezogene Überwachungs- oder Voraussagezwecke , DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES



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