个人简介

基本情况

姓  名:

翟志强

职  务:

职  称:

讲师

学  历:

学  位:

博士

通信地址:

北京市海淀区上园村3号

邮  编:

100044

办公电话:

电子邮箱:

zhqzhai@bjtu.edu.cn

教育背景

2013/092019/06  北京交通大学,交通运输学院,交通运输规划与管理
    工学博士,导师:宋国华
2017/092018/09  Virginia TechCivil & Environmental Engineering
    访问学者,导师:Hesham Rakha
2008/092012/06  北京交通大学,理学院,信息与计算科学
    理学学士

工作经历

2021/11-现在  北京交通大学,交通运输学院
    讲师
2019/092021/09  University of TorontoDepartment of Civil & Mineral Engineering
    博士后,导师:Marianne Hatzopoulou

研究方向

招生专业

科研项目

  1. 中国国际可持续交通创新和知识中心项目,“可持续交通体系建设进展评估与监测研究”,主持
  2. 北京交通发展研究院项目,“小客车加油和冷启动特征分析与指标算法研究”,主持
  3. 北京交通大学人才基金项目,“基于比功率分布图谱的车辆碳排放实测技术与核算方法”,主持
  4. 北京科佳同创新能源科技有限公司项目,“机场新能源车辆及充电设备主动安全评估技术”,参与
  5. 国家自然科学基金面上项目,“面向街区尺度交通排放污染的出行人群暴露测度及健康风险评估”,参与
  6. 北京蜂云科创信息技术有限公司项目,“氢燃料电池车辆实际工况能耗测算模型”,参与
  7. Natural Sciences and Engineering Research Council (NSERC),“Investigating the potential of mobile air quality monitoring in urban areas in the development of real-time air pollution maps and applications to reduce population exposure”, 加拿大自然科学和工程研究委员会项目,参与
  8. Canada Foundation for Innovation,“Characterization of exhaust emissions from on-road vehicles using portable emission monitoring systems (PEMS)”,加拿大创新基金会项目,参与
  9. 国家重点研发计划项目,“大规模网联车辆协同服务平台”课题“新型多功能智能车载终端研制及应用”,参与
  10. 国家自然科学基金项目,“CAV条件下道路交通拥堵和排放的仿真评估方法的改进研究,参与
  11. 北京交通发展研究院项目,“典型货车与客车排放质量评估修正与排放因子提取方法”,参与
  12. 国家自然科学基金项目,“面向排放的基于行驶轨迹的交通仿真模型优化”,参与
  13. 国家“863计划项目,基于交通与环境数据共享的区域交通排放监测及预测技术,参与
  14. 北京交通发展研究院项目, 交通排放分布规律研究整体架构设计与技术难点研究,参与

教学工作

《交通设计》
《交通设计综合设计》
交通工程专业认知实习
交通工程专业生产实习

论文/期刊

期刊论文

  1. Zhai, Z., L. Zhang, G. Song, X. Li, and L. Yu. Modeling Energy Consumption for Battery Electric Vehicles Based on In-Use Vehicle Trajectories. Transportation Research Part D: Transport and Environment, 2024, 137: 104509. (IF 7.3)
  2. Zhai, Z., J. Xu, M. Zhang, A. Wang, and M. Hatzopoulou. Quantifying Start Emissions and Impact of Reducing Cold and Warm Starts for Gasoline and Hybrid Vehicles. Atmospheric Pollution Research, 2023, 307: 101646. (IF 3,9)
  3. Zhai Z., J. Xu, G. Song, M. Hatzopoulou. Comparative analysis of drive-cycles, speed limit violations, and emissions in two cities: Toronto and Beijing. Science of the Total Environment, 2022, 811: 152323. (IF 8.2)
  4. Zhai Z., R. Tu, J. Xu, A. Wang, M. Hatzopoulou. Capturing the Variability in Instantaneous Vehicle Emissions Based on Field Test Data. Atmosphere, 2020, 11 (7). (IF 2.5)
  5. Zhai Z., G. Song, Y. Liu, Y. Cheng, W. He, and L. Yu. Characteristics of Operating Mode Distributions for Light Duty Vehicles by Road Type, Average Speed, and Driver Type for Emissions Estimations in Beijing. Journal of Intelligent Transportation Systems: Technology, Planning, and Operations, 2019, 23 (2). (IF 2.8)
  6. Zhai Z., G. Song, and L. Yu. How Much Vehicle Activity Data Is Needed to Develop Robust Vehicle Specific Power Distributions for Emission Estimates? A Case Study in Beijing. Transportation Research Part D: Transport and Environment, 2018, 65. (IF 7.3)
  7. Zhai Z., G. Song, H. Lu, W. He, and L. Yu. Validation of Temporal and Spatial Consistency of Facility-and Speed-specific VSP Distribution for Emission Estimation: A Case Study in Beijing. Journal of the Air & Waste Management Association, 2017, 67 (9). (IF 2.1)
  8. Wang An, R. Tu, J. Xu, Z. Zhai, M. Hatzopoulou. A Novel Modal Emission Modeling Approach and its Application with On-Road Emission Measurements. Applied Energy, 2022, 306: 117967.
  9. Wang, A., J. Xu, M. Zhang, Z. Zhai, G. Song, and M. Hatzopoulou. Emissions and Fuel Consumption of a Hybrid Electric Vehicle in Real-World Metropolitan Traffic Conditions. Applied Energy, 2022, 306: 118077.
  10. Fan, P., G. Song, Z. Zhu, Y. Wu, Z. Zhai, and L. Yu. Road Grade Estimation Based on Large-Scale Fuel Consumption Data of Connected Vehicles. Transportation Research Part D: Transport and Environment, 2022, 106: 103262.
  11. Tu, R., J. Xu, A. Wang, M. Zhang, Z. Zhai, and M. Hatzopoulou. Real-World Emissions and Fuel Consumption of Gasoline and Hybrid Light Duty Vehicles under Local and Regulatory Drive Cycles. Science of The Total Environment, 2022, 805: 150407.
  12. Wang, X., G. Song, Z. Zhai, Y. Wu, H. Yin, and L. Yu. Effects of Vehicle Load on Emissions of Heavy-Duty Diesel Trucks: A Study Based on Real-World Data. International Journal of Environmental Research and Public Health, 2021, 18 (8): 3877.
  13. Zhang, Z., G. Song, L. Zhang, Z. Zhai, W. He, and L. Yu. How Do Errors Occur When Developing Speed Correction Factors for Emission Modeling? Transportation Research Part D: Transport and Environment, 2021, 101: 103094.
  14. Meng, D., G. Song, Y. Wu, Z. Zhai, L. Yu, and J. Zhang. Modification of Newell’s Car-Following Model Incorporating Multidimensional Stochastic Parameters for Emission Estimation. Transportation Research Part D: Transport and Environment, 2021, 91: 102692.
  15. Jiang, Y., G. Song, Z. Zhang, Z. Zhai, and L. Yu. Estimation of Hourly Traffic Flows from Floating Car Data for Vehicle Emission Estimation. Journal of Advanced Transportation, 2021, 2021: 1–11.
  16. Tu R., J. Xu, A. Wang, Z. Zhai, M. Hatzopoulou. Effects of ambient temperature and cold starts on excess NOx emissions in a gasoline direct injection vehicle. Science of The Total Environment, 2021, 760: 143402.
  17. Xu J., R. Tu, A. Wang, Z. Zhai, M. Hatzopoulou. Generation of spikes in ultrafine particle emissions from a gasoline direct injection vehicle during on-road emission tests. Environmental Pollution, 2020, 276: 115695.
  18. Zhang Z., G. Song, J. Chen, Z. Zhai, and L. Yu. Development of a Simplified Model of Speed-Specific Vehicle-Specific Power Distribution Based on Vehicle Weight for Fuel Consumption Estimates. Transportation Research Record: Journal of the Transportation Research Board, 2020, 2674 (12).
  19. Wang X., G. Song, Y. Wu, L. Yu, and Z. Zhai. NOx Emission Model Incorporating Temperature for Heavy-duty Diesel Vehicles with Urea-SCR Systems based on Field Operating Modes. Atmosphere, 2019, 10 (6).
  20. Li M., L. Yu, Z. Zhai, W. He, and G. Song. Development of Emission Factors for an Urban Road Network Based on Speed Distributions. Journal of Transportation Engineering, 2016, 142 (9).

会议论文

  1. Zhai, Z., L. Zhang, G. Song, X. Li, and L. Yu. Energy Consumption Estimates for Light-Duty Electric Vehicles Based on Trajectories of in-Use Vehicles. Transportation Research Board 103rd Annual Meeting, Washington DC. 2024.
  2. Zhai Z., G. Song, L. Yu. A Comparative Analysis on Methods of Using Second-by-Second Vehicle Speed Profiles and Operating Mode Distributions for Real-Time Emissions Estimations at the Link Level. Transportation Research Board 97th Annual Meeting, Washington DC, 2018.
  3. Zhai Z., G. Song, H. Lu, C. Lv, and L. Yu. Eco-Routing Approach for Hybrid Electric Vehicles Based on Vehicle Specific Power: A Case Study in Beijing. Transportation Research Board 95th Annual Meeting, Washington DC, 2016.
  4. Zhai Z., G. Song, H. Lu, W. He, and L. Yu. A Validation of Temporal and Spatial Consistency of Facility-and Speed-Specific VSP Distribution for Emissions Estimation: A Case Study in Beijing. Transportation Research Board 95th Annual Meeting, Washington DC, 2016.
  5. Wang X., G. Song, Z. Zhai, and Y. Wu. Road Grade Identification based on Power Demand of Heavy-Duty Diesel Trucks for Emission Estimation. Transportation Research Board 101st Annual Meeting, Washington DC, 2022.
  6. Lei X., G. Song, Z. Zhai, Y. Wu, and Z. Li. Eco-routing Method for Electric Vehicles Based on the Distribution of Vehicle Specific Power: A Case Study in Beijing. Transportation Research Board 100th Annual Meeting, Washington DC, 2021.
  7. Wang X., G. Song, Y. Wu, Z. Zhai, L. Yu. Identification of Vehicle Load Based on Power Characteristics of Heavy-Duty Trucks for Emissions Estimation. Transportation Research Board 99th Annual Meeting, Washington DC, 2020.
  8. Song G., M. Li, L. Yu, Z. Zhai, and W. He. Development of Emission Factors for an Urban Road Network Based on Speed Distributions. Transportation Research Board 94th Annual Meeting, Washington DC, 2015.

专著/译著

专利

宋国华,翟志强,于雷. 一种基于VSP分布的交通运行数据与排放数据耦合方法与系统,CN104715605B. 

软件著作权

获奖与荣誉

2018年研究生国家奖学金
2019年北京交通大学优秀博士学位论文

社会兼职

论文评审

  1. Energy
  2. Energy Sources, Part A
  3. Energy Sources, Part B
  4. Energy Conversion and Management
  5. Environmental Impact Assessment Review
  6. Sustainable Energy Technologies and Assessments
  7. Transportation Research Part D: Transport and Environment
  1. Transportation Research Board (TRB)
  2. World Transport Convention (WTC)

指导本科毕设

  1. 基于出行轨迹的机动车电动化碳减排评价模型
  2. 燃油车和混合动力车启动排放时空分布特征研究
  3. 基于机动车停车信息的私家电动车充电桩配置方案研究
  4. 基于行驶轨迹的氢燃料电动货车能耗和碳排放评价模型