基於熱影像視覺車流資料採集之電動車污染排放分析
廖浚評 - 2023 - tdr.lib.ntu.edu.tw
… a transfer learning approach from a deep learning model and … to predict emissions by [26]
. Models used for assessing … Perugu, “Emission modelling of light-duty vehicles in India using …
. Models used for assessing … Perugu, “Emission modelling of light-duty vehicles in India using …
[PDF][PDF] 人工智能在发动机控制开发中的应用及前景
徐宏明， 周泉 - 汽车安全与节能学报, 2021 - researchgate.net
… 统一瞬态工况 (worldwide light-duty test cycle , WLTC) 下发动机工… Prediction of diesel engine
NOx emissions based on long-… electric tracked vehicles using online reinforcement learning […
NOx emissions based on long-… electric tracked vehicles using online reinforcement learning […
融合工况预测的燃料电池汽车里程自适应等效氢耗最小控制策略
林歆悠， 叶锦泽， 王召瑞 - 工程科学学报, 2024 - cje.ustb.edu.cn
… driving cycle prediction is proposed. A backpropagation-based neural network is used to
predict short-term vehicle velocity and analyze future changes in vehicle demand power. …
predict short-term vehicle velocity and analyze future changes in vehicle demand power. …
面向碳减排的城市交通微观仿真模型优化研究
刘博， 林建新， 刘依妮， 张栋 - 系统仿真学报, 2024 - china-simulation.com
… 微观交通排放模型中, MOVES(motor vehicle emission simulator)结合车辆 比功率和速度参数
量化尾气排放具有较高精度[6-7]. 因此,高效获取城市微观区域内全部车辆的高频 轨迹数据是研究…
量化尾气排放具有较高精度[6-7]. 因此,高效获取城市微观区域内全部车辆的高频 轨迹数据是研究…