智能交通与无人机应用研究中心

科研项目
期刊论文
专著教材

[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

2024

1. He, HD*, LU, DN., Zhao, HM, Peng, ZR. Characterizing CO2 and NOx emission of vehicles crossing toll stations in highway. Trans. Res. Part D, 2024, 126: 104024.

2. Huang, H.C., Li, BW., Wang, YZ., 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, HD*., Peng, Z.R. Urban-scale estimation model of carbon emissions for ride-hailing electric vehicles during operational phase. Energy, 2024, 293: 130665.

4. Zhang, Zhe., Qing, Y., Gao, Kun., 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, HM, He, HD*, Lu, DN, Zhou, D, Lu, CX, Fang, XR, Peng, ZR. Evaluation of CO2 and NOx emissions from container diesel trucks using a portable emissions measurement system, Build. Environ. 2024, 252: 111266.

6. Zhang, Z., Gao, K., He, HD*., Cui, SH., Hu, LY., Yu, Q., Peng, ZR. Environmental impacts of ridesplitting considering modal substitution and associations with built environment. Trans. Res. Part D, 2024, 130: 104160.

7. 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.

8. 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.

9. Chen, Z.H., Li, B. W., Li, B.W., 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.

10. [10].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.

2023

1. 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.

2. Zhang, Z., Gao, K., He, HD*., Yang, JM., Jia R., Peng, ZR. How do travel characteristics of ridesplitting affect its benefits in emission reduction? evidence from Chengdu. Trans. Res. Part D, 2023, 123: 103912.

3. 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.

4. 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.

5. 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.

6. 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.

7. 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, 116200.

8. 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.

9. 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.

2022

1. Kai-Fa Lu, Hong-Wei Wang, Xiao-Bing Li, Zhong-Ren Peng*, Hong-Di He, Zhi-Peng Wang, 2022, Assessing the effects of non-local traffic restriction policy on urban air quality, Transport Policy, Volume 115, Pages 62-74, https://doi.org/10.1016/j.tranpol.2021.11.005

2. Li, B., Cao, R., He, H. D., Peng, Z. R., Qin, H., & Qin, Q. (2022). Three-dimensional diffusion patterns of traffic-related air pollutants on the roadside based on unmanned aerial vehicles monitoring. Building and Environment, 109159. https://doi.org/10.1016/j.buildenv.2022.109159

3. Jiang, Y. H., Li, B., Li, X. B., Wang, D. S., & Peng, Z. R. (2022). Identification of the atmospheric boundary layer structure through vertical distribution of PM2. 5 obtained by unmanned aerial vehicle measurements. Atmospheric Environment, 119084. https://doi.org/10.1016/j.atmosenv.2022.119084

4. Zhu, X. H., Lu, K. F., Peng, Z. R., He, H. D., & Xu, S. Q. (2022). Spatiotemporal variations of carbon dioxide (CO2) at Urban neighborhood scale: Characterization of distribution patterns and contributions of emission sources. Sustainable Cities and Society, 78, 103646.https://doi.org/10.1016/j.scs.2021.103646

5. Liu, X., Shi, X. Q., He, H. D., & Peng, Z. R. (2022). Distribution characteristics of submicron particle influenced by vegetation in residential areas using instrumented unmanned aerial vehicle measurements. Sustainable Cities and Society, 78, 103616. https://doi.org/10.1016/j.scs.2021.103616

6. Li, C., H.D. He, and Z.R. Peng, Spatial distributions of particulate matter in neighborhoods along the highway using unmanned aerial vehicle in Shanghai. Building and Environment, 2022. 211.https://doi.org/10.1016/j.buildenv.2022.108754

7. Zhang, Z., et al., Spatiotemporal evolution of NO2 diffusion in Beijing in response to COVID-19 lockdown using complex network. Chemosphere, 2022. 293.https://doi.org/10.1016/j.chemosphere.2022.133631

8. Hong-Mei Zhao, Hong-Di He, Kai-Fa Lu, Xiao-Long Han, Zhong-Ren Peng. Characterizing the distribution pattern of submicron and coarse particles on high-density container truck roads through mobile monitoring, Atmospheric Pollution Research, 2022. https://doi.org/10.1016/j.apr.2022.101561

9. Xing-hang Zhu, Hong-di He, Kai-fa Lu, Zhong-ren Peng, H. Oliver Gao. Characterizing carbon emissions from China V and China VI gasoline vehicles based on portable emission measurement systems,Journal of Cleaner Production, 2022. https://doi.org/10.1016/j.jclepro.2022.134458

10. Tie Zheng, Zhong-Ren Peng, Hong-Di He, Shaojun Zhang, Ye Wu. Horizontal profiles of size-segregated particle number concentration and black carbon beside a major roadway,Atmospheric Environment: X,Volume 16, 2022. https://doi.org/10.1016/j.aeaoa.2022.100187

11. Hong-Mei Zhao, Hong-Di He, Kai-Fa Lu, Xiao-Long Han, Yi Ding, Zhong-Ren Peng. Measuring the impact of an exogenous factor: An exponential smoothing model of the response of shipping to COVID-19,Transport Policy, Volume 118, 2022, Pages 91-100. https://doi.org/10.1016/j.tranpol.2022.01.015

2021

1. He, H.D*., Gao, H. Oliver. Particulate Matter Exposure at a Densely Populated Urban Traffic Intersection and Crosswalk. Environmental Pollution. 2021, 268:115931(ESI). https://doi.org/10.1016/j.envpol.2020.115931

2. 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. https://doi.org/10.1177/03611981211019041

3. 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 https://doi.org/10.1016/j.buildenv.2021.108149

4. Xin Liu, Xue-Qing Shi, Hong-Di He, Zhong-Ren Peng*, 2021, Distribution characteristics of submicron particle influenced by vegetation in residential areas using instrumented unmanned aerial vehicle measurements, Sustainable Cities and Society, https://doi.org/10.1016/j.scs.2021.103616

5. Wu, Cui-lin, Hong-wei Wang, Wan-jin Cai, Hong-di He, An-ning Ni, Zhong-Ren Peng (2021), Impact of the COVID-19 lockdown on roadside traffic-related air pollution in Shanghai, China, Building and Environment, Volume 194, May 2021, 107718, https://doi.org/10.1016/j.buildenv.2021.107718

6. Wu, Cui-lin, Hong-di He, Rui-feng Song, Zhong-ren Peng, (2021), Prediction of air pollutants on roadside of the elevated roads with combination of pollutants periodicity and deep learning method, Building and Environment, 108436, https://doi.org/10.1016/j.buildenv.2021.108436

7. X. Liu, X. Shi, H. He, X. Li, Z. Peng (2021), Vertical distribution characteristics of particulate matter beside an elevated expressway by unmanned aerial vehicle measurements, Build. Environ. 206 (2021) 108330. https://doi.org/10.1016/j.buildenv.2021.108330.

8. Rui-feng Song, Dong-sheng Wang, Xiao-bing Li, Bai Li, Zhong-Ren Peng, Hong-di He, (2021), Characterizing Vertical Distribution Patterns of PM2.5 in Low Troposphere of Shanghai city, China: implications from the perspective of unmanned aerial vehicle observations, Atmospheric Environment, Available online 14 September 2021, 118724, https://doi.org/10.1016/j.atmosenv.2021.118724

9. Cai, Wan-Jin, Hong-Wei Wang, Cui-Lin Wu, Kai-Fa Lu, Zhong-Ren Peng, Hong-Di He (2021), Characterizing the interruption-recovery patterns of urban air pollution under the COVID-19 lockdown in China, Building and Environment, Volume 205, 108231, https://doi.org/10.1016/j.buildenv.2021.108231

10. Yang, J., Peng, Z.R.*, Lin, L. (2021). Real-time Spatiotemporal Prediction and Imputation of Traffic Status Based on LSTM and Graph Laplacian Regularized Matrix Factorization, Transportation Research Part C, Vol. 129, 203228, https://doi.org/10.1016/j.trc.2021.103228

11. Luo, Z., Wang, Z., Wang, H., He, H., & 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. https://doi.org/10.1016/j.buildenv.2021.107933

12. Zhai, W., Liu, M., Fu, X., Peng, Z.R*. (2021). American Inequality Meets COVID-19: Uneven Spread of the Disease across Communities, Annals of the American Association of Geographers. https://doi.org/10.1080/24694452.2020.1866489

13. Zheng, Tie, Yue-Ping Jia, Shaojun Zhang, Xiao-Bing Li, Ye Wu, Cui-Lin Wu, Hong-Di He, Zhong-Ren Peng, (2021). Impacts of vegetation on particle concentrations in roadside environments, Environmental Pollution, Volume 282, 117067, https://doi.org/10.1016/j.envpol.2021.117067

14. Tanvir, M. R. A., He, H. di, & Peng, Z. R. (2021). Spatio-temporal variability in black carbon concentrations at highway toll plaza: Comparison between manual and electronic toll lanes. Atmospheric Pollution Research, 12(1), 286–294. https://doi.org/10.1016/j.apr.2020.09.010

15. Zheng, T., Li, B., Li, X. B., Wang, Z., Li, S. Y., & Peng, Z. R. (2021). Vertical and horizontal distributions of traffic-related pollutants beside an urban arterial road based on unmanned aerial vehicle observations. Building and Environment, 187, 107401. https://doi.org/10.1016/j.buildenv.2020.107401

16. Zheng, T., Wang, H. W., Li, X. B., Peng, Z. R., & He, H. Di. (2021). Impacts of traffic on roadside particle variations in varied temporal scales. Atmospheric Environment, 253, 118354. https://doi.org/10.1016/j.atmosenv.2021.118354

17. Luo, Z., Wang, Z., Wang, H., He, H., & 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. https://doi.org/10.1016/j.buildenv.2021.107933

18. Jia, Y. P., Lu, K. F., Zheng, T., Li, X. B., Liu, X., Peng, Z. R., & He, H. Di. (2021). 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, 12(3), 1–12. https://doi.org/10.1016/j.apr.2021.01.017

2020

1. Gao, Ya, Zhanyong Wang, Chao-yang Li, Tie Zheng, Zhong-Ren Peng, (2020), Assessing neighborhood variations in ozone and PM2.5 concentrations using decision tree method, Building and Environment, https://doi.org/10.1016/j.buildenv.2020.107479

2. 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. https://doi.org/10.1016/j.apr.2019.12.010

3. 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, 117134. https://doi.org/10.1016/j.atmosenv.2019.117134

4. Wang, Dongsheng, Hong-Wei Wang, Chao Li, Kai-Fa Lu, Zhong-Ren Peng, Juanhao Zhao, Qingyan Fu, and Jun Pan. (2020). "Roadside Air Quality Forecasting in Shanghai with a Novel Sequence-to-Sequence Model" International Journal of Environmental Research and Public Health 17, no. 24: 9471. https://doi.org/10.3390/ijerph17249471

5. Cao, R., Li, B., Wang, H. W., Tao, S., Peng, Z. R., & He, H. D. (2020). Vertical and Horizontal Profiles of Particulate Matter and Black Carbon Near Elevated Highways Based on Unmanned Aerial Vehicle Monitoring. Sustainability, 12(3), 1204. https://www.mdpi.com/2071-1050/12/3/1204

6. 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. https://doi.org/10.1016/j.trc.2020.102619

7. Chen, Q., Li, X., Song, R., Wang, H. W., Li, B., He, H. D.* and 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, https://doi.org/10.1016/j.apr.2020.04.002

8. Cao, Rong, Bai Li, Zhanyong Wang, Zhong-Ren Peng, Shikang Tao, Shengrong Lou, 2020, “Using a distributed air sensor network to investigate the spatiotemporal patterns of PM2.5 concentrations,” Environmental Pollution, https://doi.org/10.1016/j.envpol.2020.114549

9. Lu, Kai-Fa, Hong-Di He, Hong-Wei Wang, Xiao-Bing Li, Zhong-Ren Peng*, 2020, “Characterizing temporal and vertical distribution patterns of traffic-emitted pollutants near an elevated expressway in urban residential areas,” Building and Environment, https://doi.org/10.1016/j.buildenv.2020.106678

10. Wang, Hong-Wei, Xiao-Bing Li, Dongsheng Wang, Juanhao Zhao, Hong-Di He, Zhong-Ren Peng*, 2020, “Regional prediction of ground-level ozone using a hybrid sequence-to-sequence deep learning approach,” Journal of Cleaner Production, Volume 253, 20 April 2020, 119841, https://doi.org/10.1016/j.jclepro.2019.119841

2019

1. Chen, Qian, Dongsheng Wang, Xiaobing Li, Bai Li, Ruifeng Song, Hongdi He*, Zhong-Ren Peng* (2019), “Vertical Characteristics of Winter Ozone Distribution within the Boundary Layer in Shanghai Based on Hexacopter Unmanned Aerial Vehicle Platform,” Sustainability 2019, 11(24), 7026; https://doi.org/10.3390/su11247026

2. Li, Xiao-Bing, Zhong-Ren Peng*, Qing-Chang Lu, Dongfang Wang, Xiao-Ming Hu, Dongsheng Wang, BaiLi, Qingyan Fu, Guangli, Xiu, Hongdi He (2019), Evaluation of unmanned aerial system in measuring lower tropospheric ozone and fine aerosol particles using portable monitors, Atmospheric Environment, https://doi.org/10.1016/j.atmosenv.2019.117134

3. Li, B., Li, X. B., Li, C., Zhu, Y., Peng, Z. R*., Wang, Z., & Lu, S. J. (2019). Impacts of wind fields on the distribution patterns of traffic emitted particles in urban residential areas. Transportation Research Part D: Transport and Environment, 68, 122-136. https://doi.org/10.1016/j.trd.2018.01.030

4. Li, Bai, Rong Cao, Zhanyong Wang, Rui-Feng Song, Zhong-Ren Peng*, Guangli Xiu, Qingyan Fu (2019), “Use of multi-rotor unmanned aerial vehicles for fine-grained road-side air quality monitoring,” Transportation Research Record: Journal of the Transportation Research Board, https://doi.org/10.1177/0361198119847991

2018

1. Chao Li, Zhanyong Wang*, Bai Li, Zhong-Ren Peng*, Qingyan Fu (2018), Investigating the relationship between air pollution variation and urban form. Building and Environment, https://doi.org/10.1016/j.buildenv.2018.06.038

2. 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. https://doi.org/10.1016/j.buildenv.2018.03.058

3. 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 2018, 60:76-84. https://doi.org/10.1016/j.trd.2015.11.005

4. Bai Li, Yi Zhu, Zhanyong Wang*, Chao Li, Zhong-Ren Peng,* and Lixin Ge, 2018, “Use of Multi-Rotor Unmanned Aerial Vehicles for Radioactive Source Search,” Remote Sensing, 2018, 10(5), 728; https://doi.org/10.3390/rs10050728

5. Li, Xiao-Bing, Dongfang Wang, Qing-Chang Lu, Zhong-Ren Peng*, Qingyan Fu, Xiao-Ming Hu, Juntao Huo, Guangli Xiu, Bai Li, Chao Li, Dong-Sheng Wang, Hanyu Wang, (2018), Three-dimensional analysis of ozone and PM2.5 distributions obtained by observations of tethered balloon and unmanned aerial vehicle in Shanghai, China, Stochastic Environmental Research and Risk Assessment, 32(5), pp. 1189-1203, DOI:10.1007/s00477-018-1524-2

6. Jiang, Ruoyun, Qing-Chang Lu, Zhong-Ren Peng*, (2018) “A station-based rail transit network vulnerability measure considering land use dependency,” Journal of Transport Geography, Volume 66, Pages 10-18, https://doi.org/10.1016/j.jtrangeo.2017.09.009

2017

2016

1. 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.

2. 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 2016, 443:518–525.

3. 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

4. Li, Xiao-Bing, Qing-Chang Lu, Si-Jia Lu, Hong-Di He, Zhong-Ren Peng*, Ya Gao, Zhan-Yong Wang (2016), The impacts of roadside vegetation barriers on the dispersion of gaseous traffic pollution in urban street canyons, Urban Forestry & Urban Greening, Volume 17, Pages 80–91, doi:10.1016/j.ufug.2016.03.006

5. Gao, Ya, Zhanyong Wang, Qing-Chang Lu, Chao Liu, Zhong-Ren Peng*, Yue Yu (2016), “Prediction of vertical PM 2.5, concentrations alongside an elevated expressway by using the neural network hybrid model and generalized additive model.” Frontiers of Earth Science, 2016:1-14

2015

1. Wang Q., Liu Z., Peng Z* (2015), A PSO-SVM model for short-term travel time prediction based on bluetooth technology, Journal of Harbin Institute of Technology (New Series) 22（3） 7-14

2. Sun D.J., Xu Y., Peng Z.-R.（2015）Timetable optimization for single bus line based on hybrid vehicle size model. Journal of Traffic and Transportation Engineering (English Edition).2(3)179-186

3. Peng, Zhong-Ren*, Dongsheng Wang, Zhanyong Wang, Ya Gao, Sijia Lu, (2015), A study of vertical distribution patterns of PM2.5 concentrations based on ambient monitoring with unmanned aerial vehicles: A case in Hangzhou, China, Atmospheric Environment, doi:10.1016/j.atmosenv.2015.10.074

4. Ni, Xun-You; Sun, Daniel Jian*; & Peng, Zhong-Ren (2015). An improved incremental assignment model for parking variable message sign location problem. Journal of advanced transportation, 49(4). doi:10.1002/atr.1305

5. Bai, Cong, Zhong-Ren Peng, Qing-Chang Lu, and Jian Sun, (2015) Dynamic Bus Travel Time Prediction Models on Road with Multiple Bus Routes, Computational Intelligence and Neuroscience Volume 2015, Article ID 432389, http://dx.doi.org/10.1155/2015/432389

6. 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.

2014

1. Zhang, Dao-Zheng & Peng, Zhong-Ren* (2014). Near-road fine particulate matter concentration estimation using artificial neural network approach. International Journal of Environmental Science and Technology, 11(8), 2403-2412. doi: 10.1007/s13762-014-0565-4

2. Zhang, Dao-Zheng; Peng, Zhong-Ren; & Sun, Jian* (2014). A Comprehensive Taxi Assessment Index Using Floating Car Data. Journal of Harbin Institute of Technology, 21(1), 7-16.

3. Sun, Daniel, C Zhang, L Zhang, F Chen, ZR Peng (2014), Urban travel behavior analyses and route prediction based on floating car data, Transportation Letters, Pages 118-125. https://doi.org/10.1179/1942787514Y.0000000017

4. He, H.D., Lu, W. Z., Xue, Y. Prediction of Particulate Matter at Urban Intersection by using Artificial Neural Networks combined with Chaotic Particle Swarm Optimization Algorithm. Building Environment 2014, 78:111-117.

2013

1. Chang, Jing-Jing; Peng, Zhong-Ren; & Sun, Jian* (2013). Freight vehicle routing optimization for sporadic orders using floating car data. Journal of Donghua University (English Edition), 30(2) ,96-102.

2. Zhang Dao-Zheng; Sun, Jian*; & Peng, Zhong-Ren (2013). Urban Taxi Goodness Index and System Implementation of GIS. Journal of Transportation Systems Engineering and Information Technology, 13(1), 87-96. (In Chinese)

2012

1. Peng, Zhong-Ren; Sun, Jian; & Lu, Qing-Chang (2012). China’s Public Transportation: Problems, Policies and Future Prospective to Sustainability. Journal of the Institute of Transportation Engineers, 82(5), 36-40.

2. Sun, Jian*; Zhang, Li-Hui; Peng, Chun-Lu; Peng, Zhong-Ren; & Xu, Meng (2012). CA-based urban land use prediction model: A case study on Orange County, FL. Journal of Transportation Systems Engineering and Information Technology, 12(6), 85–92.

3. 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.

4. 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.

5. 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.

2011

1. Sun, Jian*; Peng, Zhong-Ren; Shan, Xiao-Fang; Chen, Wei-Ya; & Zeng, Xiao-Qing (2011). Development of Web-based transit trip planner using service oriented computing environment. Transportation Research Record: Journal of Transportation Research Board, 2217, 87-94. doi:10.3141/2217-11

2. Sun, Jian*; Liu, Qiong; & Peng, Zhong-Ren (2011). Research and analysis on causality and spatial-temporal evolution of urban traffic congestions - A case study on Shenzhen of China. Journal of Transportation Systems Engineering and Information Technology, 11(5), 86-93. doi:10.1016/S1570-6672(10)60143-2

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

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

5. 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.

何红弟