王宏伟

博士

华为智能驾驶产品部 研究科学家
Research Scientist at Huawei's Autonomous Driving Solution (ADS)
地点:北京市海淀区北清路156号中关村环保科技园华为北京研究所Q22大楼
研究方向:机器学习组合优化,运动和时空预测,城市交通系统韧性(Resilience),城市计算及复杂网络
教育背景

2013.09 -- 至今,上海交通大学 船舶海洋与建筑工程学院 土木工程专业(交通运输方向) 工学博士

博士论文:基于深度学习的极端天气下城市道路交通韧性研究

2016.01 -- 2018.01,美国佛罗里达大学(University of Florida) 城市规划系 ,联合培养博士生

研究课题:基于深度学习的极端气象灾害下城市道路交通网络韧性时空变化评估和预测

2009.09 -- 2013.07,西南交通大学 交通运输与物流学院 交通运输工程 工学学士

奖励与荣誉

2020年6月,获上海交通大学2016年顾国华博士研究生奖学金

2016年10月,获上海交通大学2016年光华奖学金

2016年6月,获上海交通大学2016年顾国华博士研究生奖学金

2015年12月,获第十二届全国研究生数学建模竞赛二等奖

2010-2013年,获西南交通大学综合一等奖学金两次,综合三等奖学金两次,创新奖学金一次

2012年5月,获第七届全国大学生交通科技大赛一等奖(国家级)

学术成果

[1]

Wang, H. W., Peng, Z. R., Wang, D., Meng, Y., Wu, T., Sun, W.*, Lu, Q. C.* (2020). Evaluation and prediction of transportation resilience under extreme weather events: A diffusion graph convolutional approach. Transportation Research Part C: Emerging Technologies, 115, 102619. doi: https://doi.org/10.1016/j.trc.2020.102619

[2]

Wang, H. W., Li, X. B., Wang, D., Zhao, J., He, H. D.*, Peng, Z. R.* (2020). Regional prediction of ground-level ozone using a hybrid sequence-to-sequence deep learning approach. Journal of Cleaner Production, 253, 119841. doi: https://doi.org/10.1016/j.jclepro.2019.119841

[3]

Wang, H. W., Peng, Z. R.*, Lu, Q. C., Sun, D., Bai, C. (2018). Assessing effects of bus service quality on passengers’ taxi-hiring behavior. Transport, 33(4), 1030-1044. [SCI-JCR Q4, IF 1.469] doi: https://doi.org/10.3846/16484142.2016.1275786

[4]

Wang, H. W., Cheng, K., Lu, Q. C., Peng, Z. R.* (2016). Improved model of start-wave velocity at intersections based on unmanned aerial vehicle data. Journal of Donghua University (English Edition), 33(1), 13-19.

[5]

Wang, D., Wang, H. W. *, Lu, K. F., Peng, Z. R., Zhao, J. (2022). Regional Prediction of Ozone and Fine Particulate Matter Using Diffusion Convolutional Recurrent Neural Network. International Journal of Environmental Research and Public Health, 19(7), 3988. [SCI-JCR Q2, IF 3.390] doi: https://doi.org/10.3390/ijerph19073988

[6]

Wang, D., Wang, H. W.*, Li, C., Lu, K. F., Peng, Z. R., Zhao, J., Fu, Q., Pan, J. (2020). Roadside air quality forecasting in shanghai with a novel sequence-to-sequence model. International Journal of Environmental Research and Public Health, 17(24), 9471. [SCI-JCR Q2, IF 3.390] doi: https://doi.org/10.3390/ijerph17249471

[7]

Zhang, Z., He, H. D., Yang, J. M., Wang, H. W., Xue, Y., & Peng, Z. R. (2022). Spatiotemporal evolution of NO2 diffusion in Beijing in response to COVID-19 lockdown using complex network. Chemosphere, 133631. [SCI-JCR Q1, IF 7.086] doi: https://doi.org/10.1016/j.chemosphere.2022.133631

[8]

Lu, K. F., Wang, H. W., Li, X. B., Peng, Z. R.*, He, H. D., Wang, Z. P. (2021). Assessing the effects of non-local traffic restriction policy on urban air quality. Transport Policy, 115, 62-67. [SCI-JCR Q1, IF 4.674] doi: https://doi.org/10.1016/j.tranpol.2021.11.005

[9]

Wu, C. L., Wang, H. W., Cai, W. J., Ni, A. N., Peng, Z. R.* (2021). Impact of the COVID-19 lockdown on roadside traffic-related air pollution in Shanghai, China. Building and environment, 194, 107718. [SCI-JCR Q1, IF 6.456] doi: https://doi.org/10.1016/j.buildenv.2021.107718

[10]

Cai, W. J., Wang, H. W., Wu, C. L., Lu, K. F., Peng, Z. R.*, He, H. D. (2021). Characterizing the interruption-recovery patterns of urban air pollution under the COVID-19 lockdown in China. Building and Environment, 205, 108231. [SCI-JCR Q1, IF 6.456] doi: https://doi.org/10.1016/j.buildenv.2021.108231

[11]

Zheng, T., Wang, H. W., Li, X. B., Peng, Z. R.*, He, H. D. (2021). Impacts of traffic on roadside particle variations in varied temporal scales. Atmospheric Environment, 253, 118354. [SCI-JCR Q1, IF 4.798] doi: https://doi.org/10.1016/j.atmosenv.2021.118354

[12]

Luo, Z. G., Wang, Z. Y., Wang, H. W., Peng, Z. R.* (2021). Characterizing spatiotemporal distributions of black carbon and PM2.5 at a toll station: Observations on manual and electronic toll collection lanes. Building and Environment, 199, 107933. [SCI-JCR Q1, IF 6.456] doi: https://doi.org/10.1016/j.buildenv.2021.107933

[13]

Zhao, H. M., He, H. D., Zhao, J. Q., Ding, Y., Peng, Z. R.*, Wang, H. W. (2021). Characterizing the particle variations and human exposure in port and urban areas. Transportation Research Record, 2675(11), 669–684. doi: https://doi.org/10.1177/03611981211019041

[14]

Lu, K. F., He, H. D., Wang, H. W., Li, X. B., Peng, Z. R.* (2020). Characterizing temporal and vertical distribution patterns of traffic-emitted pollutants near an elevated expressway in urban residential areas. Building and Environment, 172, 106678. [SCI-JCR Q1, IF 6.456] doi: https://doi.org/10.1016/j.buildenv.2020.106678

[15]

Chen, Q., Li, X., Song, R., Wang, H. W., Li, B., He, H. D.*, Peng, Z. R.* (2020). Development and utilization of hexacopter unmanned aerial vehicle platform to characterize vertical distribution of boundary layer ozone in wintertime. Atmospheric Pollution Research, 11(7), 1073-1083. [SCI-JCR Q2, IF 4.352] doi: https://doi.org/10.1016/j.apr.2020.04.002

期刊审稿人

IEEE Transactions on Neural Networks and Learning Systems (TNNLS)

IEEE Transactions on Big Data (TBD)

ACM Transactions on Intelligent Systems and Technology (TIST)

Atmospheric Pollution Research

学生工作

2015 -- 2016,任上海交通大学船舶海洋与建筑工程学院研究生会主席