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收藏分享 收藏 Laboratory measurement and machine learning-based analysis of driving factors for brake wear particle emissions from light-duty electric vehicles and heavy-duty vehicles实验室测量和基于机器学习的分析方法，用于研究轻型电动汽车和重型车辆制动磨损颗粒物排放的驱动因素
Yin, Jiawei; Xu, Zhou; Wei, Wendi; Jia, Zhenyu; Fang, Tiange; Jiang, Zhiwen; Cao, Zeping; Wu, Lin; Wei, Ning; Men, Zhengyu; Guo, Quanyou; Mao, Hongjun 分享 收藏 Sustainable transportation emission reduction through intelligent transportation systems: Mitigation drivers, and temporal trendsJia, Zhenyu; Yin, Jiawei; Cao, Zeping; Wei, Ning; Jiang, Zhiwen; Zhang, Yanjie; Wu, Lin; Zhang, Qijun; Mao, Hongjun 分享 收藏 A comprehensive OBD data analysis framework: Identification and factor analysis of high-emission heavy-duty vehicles综合OBD数据分析框架：高排放重型车辆的识别与因素分析Cao, Zeping; Shi, Kai; Qin, Hao; Xu, Zhou; Zhao, Xiaoyang; Yin, Jiawei; Jia, Zhenyu; Zhang, Yanjie; Liu, Hailiang; Mao, Hongjun 分享 收藏 Regional vehicle energy consumption evaluation framework to quantify the benefits of vehicle electrification in plateau city: A case study of Xining, ChinaJia, Zhenyu; Yin, Jiawei; Cao, Zeping; Wu, Lin; Wei, Ning; Zhang, Yanjie; Jiang, Zhiwen; Guo, Dongping; Zhang, Qijun; Mao, Hongjun 分享 收藏 Machine learning helps reveal key factors affecting tire wear particulate matter emissions机器学习有助于揭示影响轮胎磨损颗粒物排放的关键因素Jia, Zhenyu; Yin, Jiawei; Fang, Tiange; Jiang, Zhiwen; Zhong, Chongzhi; Cao, Zeping; Wu, Lin; Wei, Ning; Men, Zhengyu; Yang, Lei; Zhang, Qijun; Mao, Hongjun 分享 收藏 分享 收藏 
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