目前任职

上海交通大学船舶海洋与建筑工程学院，长聘教规副教授，博士生导师。

 

教育背景

2006.09 -- 2010.07 香港城市大学建筑学与土木工程系, 博士

2003.09 -- 2006.07 上海大学上海市应用数学和力学研究所，流体力学，硕士

1999.09 -- 2003.07 西北工业大学应用数学系，信息与计算科学，学士

 

工作背景

2019.02 -- 至今 上海交通大学船建学院 交通运输工程系 长聘教规副教授（博导）

2010.10 -- 2019.01 上海海事大学物流研究中心 讲师 副教授

2017.09 -- 2018.11 美国康乃尔大学 访问学者

2016.07 -- 2016.09 香港城市大学 Research Fellow

 

研究方向

1 人工智能与智能交通 (Application of AI in Intelligent Transport System)

2  新能源车及其能耗分析（New energy vehicles and energy consumption）

3  交通、环境与健康研究 (Transportation, Environment and Community Healthy)

4  无人机在交通及其环境中的应用研究(Application of Unmanned Aerial Vehicle (UAV) in Transportation and Environment)

 

学术任职

2021.05 -- 至今 《上海大学学报（自然科学版）》青年编委

2017.08 -- 至今 世界交通运输大会 交叉学部 交通污染技术委员会主席

2016.09 -- 至今 上海市力学学会 交通流动力学与数据科学专业委员会委员

2014.06 -- 至今 交通科学与计算专题研讨会 组委会成员

 

科研项目

[1]. 国家自然科学基金面上项目， 智能网联环境下混动车油耗与电池能耗的协同优化研究， 2025-2028， 项目负责人

[2]. 上海市新能源汽车公共数据采集与监测研究中心2024揭榜挂帅项目，基于通用预训练算法的电动车电池状态评估与预警， 2024-2025， 项目负责人

[3]. 国家自然科学基金面上项目，基于垂直监测的城市高架交通排放物的三维扩散机理研究，2021-2024，项目负责人

[4]. 2023年上海市人民政府决策咨询研究项目，中国邮轮全产业链生态体系建设研究，2023-2024，项目负责人

[5]. 上海市2023年度“科技创新行动计划”软科学研究项目, 上海新能源车服务产业的数据基础制度建设路径研究, 2023-2024, 项目负责人

[6]. 2021年度上海市人民政府决策咨询研究重点课题，科技创新赋能上海碳达峰碳中和目标的路径与对策研究，2021-2022，项目负责人

[7]. 上海交通大学-康奈尔大学合作项目：Spatiotemporal Distributions of Traffic-related Carbon Emission in Near-road Neighbourhoods，2022-2023，项目负责人

[8]. 上海交通大学-大阪大学合作项目：Assessment of mobility as a service (MaaS) in sustainable development，2019-2020，项目负责人

[9]. 国家自然科学基金面上项目，交通拥堵产生的超细颗粒物的动态分布及控制策略研究，2017-2020，项目负责人

[10]. 国家自然科学基金青年项目，基于颗粒物减排的城市道路交叉口交通流的动力学建模与优化，2014-2016，项目负责人

[11]. 上海市浦江人才计划项目，上海城市车辆流的动态优化与可吸入细颗粒物的污染控制，2012-2014，项目负责人

[12]. 上海市科委项目，港口细颗粒物排放特征及对区域空气质量的影响，2014-2016，项目负责人

[13]. 中国科技部国家重点研发计划子课题，基于无人机和大载荷气艇的大气垂直结构探测技术，2016-2020，项目参与人

[14]. 国家社会科学基金重大项目，城市交通政策和设施建设对大气环境影响的评价研究，2016-2020，项目参与人

[15]. 上海市环境保护局，上海市智能环保综合决策与大数据应用研究，2018-2019，项目参与人

[16]. 中国交通运输部，基于船舶运动轨迹的船舶能耗和碳排放统计算法研究，2014-2016，项目参与人

[17]. 上海市交通运输与港口管理局，港口综合发展指数，2012，项目参与人

 

讲授课程

本科生课程《运筹学》（校级课程思政示范课程）

研究生课程《交通环境工程》

研究生课程《交通统计分析与建模》

研究生课程《定量分析：模型与方法》

 

所获荣誉

2024年 上海交通大学2024年教书育人三等奖

2023年 第六届上海新能源汽车大数据竞赛二等奖（3/543)，指导老师

2022年 第五届上海新能源汽车大数据竞赛一等奖（1/492)，指导老师

2021年 第三届“交通·未来”大学生科创作品大赛一等奖，指导老师

2021年 上海交通大学2021年度教学成果奖一等奖

2013年 上海市教学成果二等奖

2012年 上海市浦江人才计划

 

代表性论文与专著

截至2021年5月，累计发表学术论文80余篇，其中SCI论文60余篇（JCR Q1类论文36篇、Q2类论文14篇）。代表性文章：

[1].He, H. D*., Lu, D. N., Zhao, H. M., Peng, Z. R. Characterizing CO2 and NOx emission of vehicles crossing toll stations in highway. Transportation Research Part D: Transport and Environment, 2024, 126: 104024.

[2].Huang, H. C., Li, B. W., Wang, Y. Z., Zhang, Z., He, H. D*. Analysis of factors influencing energy consumption of electric vehicles: Statistical, predictive, and causal perspectives. Applied Energy, 2024, 375: 124110.

[3].Huang, H. C., He, H. D*., Peng, Z. R. Urban-scale estimation model of carbon emissions for ride-hailing electric vehicles during operational phase. Energy, 2024, 293: 130665.

[4].Zhang, Z., Qing, Y., Gao, K., He, H. D*., Liu, Y., Huang, H. C. Carbon emission reduction benefits of ride-hailing vehicle electrification considering energy structure. Applied Energy, 2024, 375: 4905243.

[5].Zhao, H. M., He, H. D*., Lu, D. N., Zhou, D., Lu, C. X., Fang, X. R., Peng, Z. R. Evaluation of CO2 and NOx emissions from container diesel trucks using a portable emissions measurement system. Building and Environment, 2024, 252: 111266.

[6].Jin, M. Y., Gallagher, J., Li, X. B., Lu, K. F., Peng, Z. R*., He, H. D*. Characterizing the distribution pattern of traffic-related air pollutants in near-road neighborhoods. Environmental Monitoring and Assessment, 2024, 196: 767.

[7].Zhang, Z., Gao, K., He, H. D*., Cui, S. H., Hu, L. Y., Yu, Q., Peng, Z. R. Environmental impacts of ridesplitting considering modal substitution and associations with built environment. Transportation Research Part D: Transport and Environment, 2024, 130: 104160.

[8].Jin, M. Y., Zhang, L. Y., Peng, Z. R., He, H. D., Kumar, P., Gallagher, J*. The impact of dynamic traffic and wind conditions on green infrastructure performance to improve local air quality. Science of the Total Environment, 2024, 917: 170211.

[9].Zhao, H. M., He, H. D*., Wu, C. L., Zhu, X. H., Zhou, D., Peng, Z. R. Multifractal property change of NOx and O3 variations in port area in responding to COVID-19 lockdown. Stochastic Environmental Research and Risk Assessment, 2024, 38: 1145-1161.

[10].Huang, H. C., Chen, Z. H., Li, B. W., Ma, Q. H., He, H. D*. FeSTGCN: A frequency-enhanced spatio-temporal graph convolutional network for traffic flow prediction under adaptive signal timing. Applied Intelligence, 2024, 54: 4848-4864.

[11].Chen, Z. H., Li, B. W., Li, B., Peng, Z. R., Huang, H. C., Wu, J. Q., He, H. D*. Identification of particle distribution pattern in vertical profile via unmanned aerial vehicles observation. Environmental Pollution, 2024, 348: 123893.

[12].Huang, H. C., He, H. D*., Fu, Q. Y., Pan, J., Peng, Z. R. A deep learning model incorporating frequency domain information for ultra multi-step air pollutant forecasting: A case study of Shanghai. Atmospheric Pollution Research, 2024, 15: 102247.

[13].He, H. D*., Wang, Z. Y., Zhao, H. M., Pan, W., Lu, W. Z. Spatial-temporal distribution and pedestrian exposure assessment of size-fractionated particles on crosswalk of urban intersection. Environmental Science and Pollution Research, 2023, 30: 83917-83928.

[14].Zhang, Z., Gao, K., He, H. D*., Yang, J. M., Jia, R., Peng, Z. R. How do travel characteristics of ridesplitting affect its benefits in emission reduction? evidence from Chengdu. Transportation Research Part D: Transport and Environment, 2023, 123: 103912.

[15].Fang, X. R., Zhu, X. H., Li, X. Z., Peng, Z. R*., H, Q. Y*., He, H. D., AJ, Y. C., Cheng, H. Assessing the effects of short-term traffic restriction policies on traffic-related air pollutants. Science of The Total Environment, 2023, 867: 161451.

[16].Cen, B. L., Xue, Y*., Qiao, Y. F., Wang, Y., Pan, W., He, H. D. Global stability and bifurcation of macroscopic traffic flow models for upslope and downslope. Nonlinear Dynamics, 2023, 111: 3725-3742.

[17].Liu, R., He, H. D*., Zhang, Z., Wu, C. L., Yang, J. M., Zhu, X. H., Peng, Z. R. Integrated MOVES model and machine learning method for prediction of CO2 and NO from light-duty gasoline vehicle. Journal of Cleaner Production, 2023, 422: 138612.

[18].Wu, C. L., He, H. D*., Song, R. F., Zhu, X. H., Peng, Z. R., Fu, Q. Y., Pan, J. A hybrid deep learning model for regional O3 and NO2 concentrations prediction based on spatiotemporal dependencies in air quality monitoring network. Environmental Pollution, 2023, 320: 121075.

[19].Liu, X., Shi, X. Q., Peng, Z. R*., He, H. D*. Quantifying the effects of urban fabric and vegetation combination pattern to mitigate particle pollution in near-road areas using machine learning. Sustainable Cities and Society, 2023, 93: 104524.

[20].Xu, S. Q., He, H. D*., Yang, M. K., Wu, C. L., Zhu, X. H., Peng, Z. R., Sasaki, Y., Doi, K., Shimojo, S. To what extent the traffic restriction policies can improve its air quality? An inspiration from COVID-19. Stochastic Environmental Research and Risk Assessment, 2023, 37: 1479-1495.

[21].Lu, D. N., He, H. D*., Zhao, H. M., Lu, K. F., Peng, Z. R., Li, J*. Quantification of traffic-related carbon emission on elevated roads through on-road measurement. Environmental Research, 2023, 231: 116200.

[22].Lu, D. N., He, H. D*., Wang, Z., Zhao, H. M., Peng, Z. R. Impact of urban viaducts on the vertical distribution of fine particles in street canyons. Atmospheric Pollution Research, 2023, 14: 101726.

[23].Huang, H. C., Cheng, J., Shi, B. C., He, H. D*. Multi-step forecasting of short-term traffic flow based on Intrinsic Pattern Transform. Physica A: Statistical Mechanics and its Applications, 2023, 621: 128798.

[24].何红弟*，卢丹妮，赵红梅，城市高架街谷交通污染物的扩散研究综述。上海大学学报（自然科学版），2022, 28: 569-581

[25].Li, B., Cao, R., He, H. D., Peng, Z. R*., Qin, H., Qin, Q. Three-dimensional diffusion patterns of traffic-related air pollutants on the roadside based on unmanned aerial vehicles monitoring. Building and Environment, 2022, 219: 109159.

[26].Lu, K. F., Wang, H. W., Li, X. B., Peng, Z. R*., He, H. D., Wang, Z. P. Assessing the effects of non-local traffic restriction policy on urban air quality. Transport Policy, 2022, 115: 62-74.

[27].Zhu, X. H., He, H. D*., Lu, K. F., Peng, Z. R*., Gao, H. O. Characterizing carbon emissions from China V and China VI gasoline vehicles based on portable emission measurement systems. Journal of Cleaner Production, 2022, 378: 134458.

[28].Li, C., He, H. D*., Peng, Z. R. Spatial distributions of particulate matter in neighborhoods along the highway using unmanned aerial vehicle in Shanghai. Building and Environment, 2022, 211: 108754.

[29].Wu, C. L., He, H. D*., Song, R. F., Peng, Z. R. Prediction of air pollutants on roadside of the elevated roads with combination of pollutants periodicity and deep learning method. Building Environment, 2022, 207: 108436.

[30].Zhang, Z., He, H. D*., Yang, J. M., Wang, H. W., Peng, Z. R. Spatiotemporal evolution of NO2 diffusion in Beijing in response to COVID-19 lockdown using complex network. Chemosphere, 2022, 293: 133631.

[31].Zhao, H. M., He, H. D*., Lu, K. F., Hang, X. L., Ding, Y*., Peng, Z. R. Measuring the impact of an exogenous factor: An exponential smoothing model of the response of shipping to COVID-19. Transport Policy, 2022, 118: 91-100.

[32].Jiang, Y. H., Li, B., He, H. D*., Li, X. B., Wang, D. S., Peng, Z. R. Identification of the atmospheric boundary layer structure through vertical distribution of PM2.5 obtained by unmanned aerial vehicle measurements. Atmospheric Environment, 2022, 278: 119084.

[33].Zhu, X. H., Lu, K. F., Peng, Z. R*., He, H. D*., Xu, S. Q. Spatiotemporal variations of carbon dioxide (CO2) at Urban neighborhood scale: Characterization of distribution patterns and contributions of emission sources. Sustainable Cities and Society, 2022, 78: 103646.

[34].Liu, X., Shi, X. Q., He, H. D*., Peng, Z. R*. Distribution characteristics of submicron particle influenced by vegetation in residential areas using instrumented unmanned aerial vehicle measurements. Sustainable Cities and Society, 2022, 78: 103616.

[35].Liu, R., Wang, F. T., Wang, Z. P., Wu, C. L., He, H. D*. Identification of Subway Track Irregularities Based on Detection Data of Portable Detector. Transportation Research Record, 2022, 2676: 703-713.

[36].He, H. D*., Gao, H. O. Particulate Matter Exposure at a Densely Populated Urban Traffic Intersection and Crosswalk. Environmental Pollution, 2021, 268: 115931 (ESI).

[37].Wu, C. L., Wang, H. W., Cai, W. J., He, H. D*., Ni, A. N., Peng, Z. R. Impact of the COVID-19 lockdown on roadside traffic-related air pollution in Shanghai, China. Building Environment, 2021, 194: 107718.

[38].Cai, W. J., Wang, H. W., Wu, C. L., Lu, K. F., Peng, Z. R*., He, H. D. Characterizing the interruption-recovery patterns of urban air pollution under the COVID-19 lockdown in China. Building and environment, 2021, 205: 108231.

[39].Zheng, T., Jia, Y. P., Zhang, S., Li, X. B., Wu, Y., Wu, C. L., He, H. D., Peng, Z. R*. Impacts of vegetation on particle concentrations in roadside environments. Environmental Pollution, 2021, 282: 117067.

[40].Zhao, H. M., He, H. D*., Zhao, J. Q., Ding, Y., Peng, Z. R., Wang, H. W. Characterizing the Particle Variations and Human Exposure in Port and Urban Areas. Transportation Research Record, 2021, 2675: 669-684.

[41].Song, R. F., Wang, D. S., Li, X. B., Li, B., Peng, Z. R., He, H. D*. Characterizing vertical distribution patterns of PM2.5 in low troposphere of Shanghai city, China: Implications from the perspective of unmanned aerial vehicle observations. Atmosphere Environment, 2021, 265: 118724.

[42].Wang, Z. Y., He, H. D*., Zhao, H. M., Peng, Z. R. Spatiotemporal analysis of pedestrian exposure to submicron and coarse particulate matter on crosswalk at urban intersection. Building Environment, 2021, 204: 108149.

[43].Tanvir, M. R. A., He, H. D*., Peng, Z. R. Spatio-temporal variability in black carbon concentrations at highway toll plaza: Comparison between manual and electronic toll lanes. Atmospheric Pollution Research, 2021, 12: 286-294.

[44].Jia, Y. P., Lu, K. F., Zheng, T., Li, X. B., Liu, X., Peng, Z. R., He, H. D*. Effects of roadside green infrastructure on particle exposure: A focus on cyclists and pedestrians on pathways between urban roads and vegetative barriers. Atmospheric Pollution Research, 2021, 12: 1-12.

[45].Yang, J. M., Peng, Z. R*., Lin, L. Real-time spatiotemporal prediction and imputation of traffic status based on LSTM and Graph Laplacian regularized matrix factorization. Transportation Research Part C: Emerging Technologies, 2021, 129: 103228.

[46].Luo, Z. G., Wang, Z. Y., Wang, H. W., He, H. D*., Peng, Z. R. Characterizing spatiotemporal distributions of black carbon and PM2.5 at a toll station: Observations on manual and electronic toll collection lanes. Building Environment, 2021, 199: 107933.

[47].Zheng, T., Wang, H. W., Li, X. B., Peng, Z. R., He, H. D*. Impacts of traffic on roadside particle variations in varied temporal scales. Atmospheric Environment, 2021, 253: 118354.

[48].He, H. D*., Lu, W. Z. Comparison of three prediction strategies within PM2.5 and PM10 monitoring networks. Atmospheric Pollution Research, 2020, 11: 590-597.

[49].Xue, Y*., Wang, X., Cen, B. L., Zhang, P., He, H. D. Study on fuel consumption in the Kerner–Klenov–Wolf three-phase cellular automaton traffic flow model. Nonlinear Dynamics, 2020, 102: 393-402.

[50].Gao, Y., Wang, Z., Li, C. Y., Zheng, T., Peng, Z. R*. Assessing neighborhood variations in ozone and PM2.5 concentrations using decision tree method. Building and Environment, 2021, 188: 107479.

[51].Lu, K. F., He, H. D., Wang, H. W., Li, X. B., Peng, Z. R*. Characterizing temporal and vertical distribution patterns of traffic-emitted pollutants near an elevated expressway in urban residential areas. Building Environment, 2020, 172: 106678.

[52].Wang, H. W., Peng, Z. R., Wang, D., Meng, Y., Wu, T., Sun, W*., Lu, Q. C*. Evaluation and prediction of transportation resilience under extreme weather events: A diffusion graph convolutional approach. Transportation Research Part C: Emerging Technologies, 2020, 115: 102619.

[53].Chen, Q., Li, X. B., Song, R. F., Wang, H. W., Li, B., He, H. D*., Peng, Z. R. Development and utilization of hexacopter unmanned aerial vehicle platform to characterize vertical distribution of boundary layer ozone in wintertime. Atmospheric Pollution Research, 2020, 11: 1073-1083.

[54].Lu, K. F., He, H. D., Wang, H. W., Li, X. B., Peng, Z. R*. Characterizing temporal and vertical distribution patterns of traffic-emitted pollutants near an elevated expressway in urban residential areas. Building Environment, 2020, 172: 106678.

[55].Wang, H. W., Li, X. B., Wang, D. S., Zhao, J., He, H. D*., Peng, Z. R. Regional prediction of ground-level ozone using a hybrid sequence-to-sequence deep learning approach. Journal of Cleaner Production, 2020, 253: 119841.

[56].Li, X. B., Peng, Z. R., Lu, Q. C., Wang, D. F., Hu, X. M., Wang, D. S., Li, B., Fu, Q. Y., Xiu, G. L., He, H. D*. Evaluation of unmanned aerial system in measuring lower tropospheric ozone and fine aerosol particles using portable monitors. Atmospheric Environment, 2020, 222: 117134.

[57].Xue, Y*., Zhang, Y., Fan, D., Zhang, P., He, H. D. An extended macroscopic model for traffic flow on curved road and its numerical simulation. Nonlinear Dynamics, 2019, 95: 3295-3307.

[58].He, H. D*., Li, M., Wang, W. L., Wang, Z. Y., Xue, Y. Prediction of PM2.5 Concentration based on the Similarity in Air Quality Monitoring Network. Building Environment, 2018, 137: 11-17.

[59].He, H. D*., Zhang, C. Y., Wang, W. L., Hao, Y. Y., Ding, Y. Feedback control scheme for traffic jam and energy consumption based on two-lane traffic flow model. Transportation Research Part D: Transport and Environment, 2018, 60: 76-84.

[60].Wang, Z*., Zhong, S., Peng, Z. R., Cai, M**. Fine-scale variations in PM2.5 and black carbon concentrations and corresponding influential factors at an urban road intersection. Building and Environment, 2018, 141: 215-225.

[61].He, H. D*., Shi, W., Lu, W. Z*. Investigation of exhaust gas dispersion in the near-wake region of a light-duty vehicle. Stochastic Environmental Research and Risk Assessment, 2017, 31: 775-783.

[62].He, H. D*., Qiao, Z. X., Pan, W., Lu, W. Z. Multiscale multifractal properties between ground-level ozone and its precursors in rural area in Hong Kong. Journal of environmental management, 2017, 196: 270-277.

[63].He, H. D*. Multifractal analysis of interactive patterns between meteorological factors and pollutants in urban and rural areas. Atmospheric Environment, 2017, 149: 47-54.

[64].He, H. D*., Pan, W., Lu, W. Z., Xue, Y. Multifractal property and long-range cross-correlation behavior of particulate matters at urban traffic intersection in Shanghai. Stochastic Environmental Research and Risk Assessment, 2016, 30: 1515-1525.

[65].He, H. D*., Wang, J. L., Wei, H. R., Ye, C., Ding, Y. Fractal behavior of traffic volume on urban expressway through adaptive fractal analysis. Physica A: Statistical Mechanics and Its Applications, 2016, 443: 518-525.

[66].He, H. D., Lu, W. Z*., Xue, Y. Prediction of Particulate Matter at Urban Intersection by using Multilayer Perceptron Model based on Principal Components. Stochastic Environmental Research and Risk Assessment, 2015, 29: 2107-2114.

[67].He, H. D., Lu, W. Z*., Xue, Y. Prediction of particulate matter at street level using artificial neural networks coupling with chaotic particle swarm optimization algorithm. Building and Environment, 2014, 78: 111-117.

[68].He, H. D., Lu, W. Z*. Spectral analysis of vehicle pollutants at traffic intersection in Hong Kong. Stochastic Environmental Research and Risk Assessment, 2012, 26: 1053-1061.

[69].He, H. D., Lu, W. Z*. Decomposition of Pollution Contributors to Urban Ozone Levels Concerning Regional and Local Scales. Building Environment, 2012, 49: 97-103.

[70].He, H. D., Lu, W. Z*. Urban Aerosol Particulates on Hong Kong roadsides: Size Distribution and Concentration Levels with Time. Stochastic Environmental Research and Risk Assessment, 2012, 26: 177-187.

[71].He, H. D., Lu, W. Z*., Dong, L. Y. An Improved Cellular Automaton Model Considering Effect of Traffic Lights and Driving Behavior. Chinese Physics B, 2011, 20: 040514.

[72].He, H. D., Lu, W. Z*., Dong, L. Y. Jam formation of traffic flow in harbor tunnel. Communications in Theoretical Physics, 2011, 56: 1140.

[73].Lu, W. Z*., He, H. D., Leung, A. Y. Leung, Assessing air quality in Hong Kong: A proposed, revised air pollution index (API). Building Environment, 2011, 46: 2562-2569.

[74].Lu, W. Z*., He, H. D., Dong, L. Y. Performance assessment of air quality monitoring networks using principal component analysis and cluster analysis. Building Environment, 2011, 46: 577-583.

[75].He, H. D., Lu, W. Z*., Xue, Y. Prediction of PM10 concentrations at urban traffic intersections using semi-empirical box modelling with instantaneous velocity and acceleration. Atmospheric Environment, 2009, 43: 6336-6342.

[76].He, H. D., Lu, W. Z*., Xue, Y., Dong, L. Y. Dynamic characteristics and simulation of traffic flow with slope. Chinese Physics B, 2009, 18: 2703-2708.