ACADEMICS

CONTACT

School of
Transportation,
2 Southeast University Road,
Jiangning District, Nanjing, Jiangsu Province
211189
P.R.China
Office: 025-52091255
dndxjtxy@126.com

TU Ran


Ph.D., Associate Professor

Affiliation: School of Transportation, Southeast University, Nanjing, China                        

 Email Address: turancoolgal@seu.edu.cn

 ResearchGate: https://www.researchgate.net/profile/Ran-Tu-3

 Research interests: traffic planning, traffic-related air quality, transport-energy integration

Education

PhD in Transportation, 2016 – 2020

 Dept. of Civil and Mineral Engineering, University of Toronto

Master of Science in Transportation, 2014 – 2016

 Dept. of Civil and Environmental Engineering, Virginia Polytechnic Institute and State University

Exchange Student in Civil Engineering, 2013 – 2014

 Dept. of Civil Engineering, École polytechnique fédérale de Lausanne  

Bachelor of Engineering in Transportation, 2010 - 2014

 School of Transportation Engineering, Tongji University                                                                   

Working Experiences

Associate Professor

2020.11-current, School of Transportation, Southeast University, China

Postdoctoral Fellow

2020.04-2020.09, Dept. of Civil and Mineral Engineering, University of Toronto, Canada

Academic Service

Standing Committee Member, Transportation Research Board, Air Quality and Greenhouse Gas Mitigation (AMS10), since 2023

Editorial Board Member, Transportation Research Part D, since 2023

Awards and Scholarships

  1. Best Paper Award, National Transportation Conference for Young Scholars (2023)

  2. Young Talent, China Association for Science and Technology (2022)

  3. Innovation and Entrepreneurship Talent of Jiangsu Province (2021)

  4. Best Dissertation Award 2020, Chinese Overseas Transportation Association (COTA)

  5. Dr. Mazen Hassounah Graduate Scholarship in Mass Events Transportation And Crowd Management (2018, 2017, 2016)

  6. First prize, National Transportation Technology Competition for University Students (2013)

Selected Projects

  1. Data Mining Methods for Multi-Modal Traveling Characteristics, Transportation Science Research Institute of National Ministry of Transport, PI, 2023-2024

  2. Dynamic Optimization of Electric Bus Services with Energy Consumption Uncertainties, FAW-Volkswagen China Environmental Protection Foundation Automotive Environmental Innovation Leading Program, PI, 2022-2023

  3. Innovative E-Bus Operation and Management Strategies to Improve the Profits. The China Association for Science and Technology Youth Talent Program, PI, 2022-2023

  4. Eco-driving Guidance Decision Modelling Based on Drivers' Dynamic Cognitive Behaviour, National Natural Science Foundation of China, PI, 2022-2024

  5. Eco-driving Guidance Based on the Heterogeneity of Drivers’ Cognitive Workload, Natural Science Foundation of Jiangsu Province, PI, 2021-2024

  6. Modify Drivers’ behaviour to Adapt for Lower Emissions, National Key R&D Program of China, Co-PI, 2021-2024

  7. Eco-Score: environmental evaluation of driving operations (Participation), NSERC of Canada, Participation, 2019-2020

Seminars and Talks

  1. “Decarbonizing daily traveling from a behavior perspective: building up people’s attitude towards low-carbon traveling recommendations” Seminar Talk at University of Illinois, Chicago, Feb 2nd, 2024.

  2. “Investigating the Relationship between the Multi-modal Transport Network and Civil Aviation Emissions” Lecture in the International Aviation Technology and Business Conference at Hong Kong Polytechnic University, Oct 13th, 2023.

  3. “Green Road Transportation for Cleaner Air” Seminar Talk at The Hong Kong University of Science and Technology, Guangzhou, Apr 14th, 2023.

  4. “Low-Emission Transport Strategies with the Trend of Electrification and Automation” Seminar Talk at School of Transportation, Southeast University, November 12th, 2020.

  5. “What Happens to On-Road Emissions when Travel Time on a Road Network is Improved Through End-to-End Dynamic Routing for Connected Autonomous Vehicles?” in ADC10 lecture session at 98th Transportation Research Board Annual Meeting, Washington DC, USA, 2019

  6. “Reducing transportation greenhouse gas emissions through the development of policies targeting high-emitting trips” in ADC20 lecture session at 97th Transportation Research Board Annual Meeting, Washington DC, USA, 2019

Student Supervision

    • Current supervision

      1. Yanfeng Xu, from 2023, Ph.D. Student

      2. Xinran Ju, from 2024, Ph.D. Student

      3. Qiuzi Chen, from 2022, Master Student

      4. Shan Xue, from 2023, Master Student

      5. Suyang Xu, from 2024, Master Student

      6. Sirui Nan, from 2020, Ph.D. Student (co-supervision)

      7. Jiaran Wei, from 2021, Master Student (co-supervision)

    • Alumni

      1. Chenming Niu, Bachelor of Engineering (graduate in 2023), currently studying at UC Berkeley

      2. Shiyu Zhao, Bachelor of Engineering (graduate in 2023), currently studying at the University of British Columbia

      3. Yuchen Ling, Bachelor of Engineering (graduate in 2023), currently studying at the Hong Kong University (co-supervision)

      4. Hao Xu, Master of Science (graduate in 2023), currently working in BYD (co-supervision)

      5. Lei Xue, Master of Science (graduate in 2022)(co-supervision)

      6. Qian Han, Master of Science (graduate in 2022)(co-supervision)

      7. Yifei Su, Bachelor of Engineering (graduate in 2021) (co-supervision)

Teaching Experiences

    • Decision Making for Decarbonized Transportation (Lecturer), Southeast University (Grad)

    • Transport Management (Lecturer), Southeast University (Undergrad)

Selected Publications (check my Google Scholar for the full list)

  • Journal articles

  1. Chen, Q., Niu, C., Tu, R.*, Li, T., Wang, A., & He, D. (2023). Cost-effective electric bus resource assignment based on optimized charging and decision robustness. Transportation Research Part D: Transport and Environment, 118, 103724.

  2. Xu, H., Tu, R.*, Li, T., & Chen, H. (2023). Interpretable bus energy consumption model with minimal input variables considering powertrain types. Transportation Research Part D: Transport and Environment, 119, 103742.

  3. Nan, S., Tu, R.*, Li, T., Sun, J., & Chen, H. (2022). From driving behavior to energy consumption: A novel method to predict the energy consumption of electric bus. Energy, 261, 125188.

  4. Tu, R., Xue, L., Meng, C., Xu, L., Li, T., & Chen, H. (2022). Identifying specifications of in-use vehicles failing the inspection/maintenance emission test. Transportation Research Part D: Transport and Environment, 108, 103327.

  5. Tu, R., Xu, J., Li, T., & Chen, H. (2022). Effective and Acceptable Eco-Driving Guidance for Human-Driving Vehicles: A Review. International Journal of Environmental Research and Public Health, 19(12), 7310.

  6. Tu, R.*, Xu, J., Wang, A., Zhang, M., Zhai, Z., Hatzopoulou, M., 2022. Real-world emissions and fuel consumption of gasoline and hybrid light duty vehicles under local and regulatory drive cycles. Sci. Total Environ. 805, 150407.

  7. Tu, R., Xu, J., Wang, A., Zhai, Z., Hatzopoulou, M., 2021. Effects of ambient temperature and cold starts on excess NOx emissions in a gasoline direct injection vehicle. Sci. Total Environ. 760, 143402.

  8. Tu, R., Li, T., Meng, C., Xie, Y., Xie, F., Yang, F., Chen, H., Li, Y., Gao, J., Liu, Y., 2021. Real-world Emissions of Construction Mobile Machines and Comparison to a Non-road Emission Model. Sci. Total Environ. 771, 145365.

  9. Tu, R., Gai, Y. (Jessie), Farooq, B., Posen, D., Hatzopoulou, M., 2020. Electric vehicle charging optimization to minimize marginal greenhouse gas emissions from power generation. Appl. Energy 277, 115517.

  10. Tu, R., Alfaseeh, L., Djavadian, S., Farooq, B., Hatzopoulou, M., 2019. Quantifying the impacts of dynamic control in connected and automated vehicles on greenhouse gas emissions and urban NO2 concentrations. Transp. Res. Part D Transp. Environ. 73, 142–151. https://doi.org/10.1016/j.trd.2019.06.008

  11. Tu, R., Kamel, I., Abdulhai, B., Hatzopoulou, M., 2018. Reducing Transportation Greenhouse Gas Emissions Through the Development of Policies Targeting High-Emitting Trips. Transp. Res. Rec.

  12. Tu, R., Kamel, I., Wang, A., Abdulhai, B., Hatzopoulou, M., 2018. Development of a hybrid modelling approach for the generation of an urban on-road transportation emission inventory. Transp. Res. Part D Transp. Environ. 62, 604–618.

  13. Tu, R., Wang, A., Hatzopoulou, M., 2019. Improving the Accuracy of Emission Inventories with a Machine-Learning Approach and Investigating Transferability across Cities. J. Air Waste Manage. Assoc. 69, 1377–1390.

  14. Wei, J., Tu, R., Zhang, L. (2024)Temporal-spatial analysis of transportation CO2 emissions in China: Clustering and policy recommendations. Heliyon (in press).

  15. Huang, P., Tu, R., Zhang, X., Han, M., Sun, Y., Hussain, S. A., & Zhang, L. (2022). Investigation of electric vehicle smart charging characteristics on the power regulation performance in solar powered building communities and battery degradation in Sweden. Journal of Energy Storage, 56, 105907.

  16. Nan, S., Tu, R., Li, T., & Sun, J. (2022). Identifying route-wise energy-saving driving operations of electric buses with real-word measurements. International Journal of Green Energy, 1-11.

  17. Ahmed, U., Tu, R., Xu, J., Amirjamshidi, G., Hatzopoulou, M., & Roorda, M. J. (2023). GPS-Based Traffic Conditions Classification Using Machine Learning Approaches. Transportation Research Record, 2677(2), 1445–1454.

  18. Dong, C., Li, Y., Wang, H., Tu, R., Chen, Y., Ni, D., & Liu, Y. (2023). Lane-changing trajectory control strategy on fuel consumption in an iterative learning framework. Expert Systems with Applications, 228, 120251.

  19. Wang, A., Tu, R., Xu, J., Zhai, Z., Hatzopoulou, M., 2022. A novel modal emission modelling approach and its application with on-road emission measurements. Appl. Energy 306, 117967.

  20. Wang, A., Tu, R., Gai, Y., Pereira, L.G., Vaughan, J., Posen, I.D., Miller, E.J., Hatzopoulou, M., 2020. Capturing uncertainty in emission estimates related to vehicle electrification and implications for metropolitan greenhouse gas emission inventories. Appl. Energy 265, 114798.

  21. Wang, A., Xu, J., Tu, R., Saleh, M., Hatzopoulou, M., 2020. Potential of machine learning for prediction of traffic related air pollution. Transp. Res. Part D Transp. Environ. 88, 102599.

  22. Wang, A., Xu, J., Tu, R., Zhang, M., Adams, M., Hatzopoulou, M., 2021. Near-road air quality modelling that incorporates input variability and model uncertainty. Environ. Pollut. 284, 117145.

  23. Xu, J., Tu, R., Ahmed, U., Amirjamshidi, G., Hatzopoulou, M., Roorda, M.J., 2021. An eco-score system incorporating driving behavior, vehicle characteristics, and traffic conditions. Transp. Res. Part D Transp. Environ. 95, 102866.

  24. Xu, J., Tu, R., Wang, A., Zhai, Z., Hatzopoulou, M., 2020. Generation of spikes in ultrafine particle emissions from a gasoline direct injection vehicle during on-road emission tests. Environ. Pollut. 267, 115695.

  25. Gao, J., Chen, H., Liu, Y., Laurikko, J., Li, Y., Li, T., Tu, R., 2021. Comparison of NOx and PN emissions between Euro 6 petrol and diesel passenger cars under real-world driving conditions. Sci. Total Environ. 801, 149789.

  26. Liu, Y., Chen, H., Li, Y., Gao, J., Dave, K., Chen, J., Li, T., Tu, R., 2022. Exhaust and non-exhaust emissions from conventional and electric vehicles: A comparison of monetary impact values. J. Clean. Prod. 331, 129965.

  • Conference and Arxiv articles

    1. Wang, J., Huang, C., He, D., Tu, R. (2023). Range Anxiety among Battery Electric Vehicle Users: Both Distance and Waiting Time Matter. Proceedings of the Human Factors and Ergonomics Society Annual Meeting.

    2. Wang, J., Huang, C., Tu, R., He, D. (2023). Influential Factors of Users' Trust in the Range Estimation Systems of Battery Electric Vehicles - A Survey Study in China. arXiv preprint arXiv:2301.10076.

    3. Xue S., He D., Tu R.*, 2024. Does Eco-Driving Really Save Energy: Re-assessing the Effect of Eco-driving Considering the Heterogeneity of Driver Acceptance, in The 103rd Transportation Research Board Annual Meeting. Washington D.C., USA.

    4. Chen Q., Liu H., Tu R.*, 2024. Modifying MOVES Brake Wear Emission Modelling for Light-Duty Vehicles in a Metropolitan Area, in: The 103rd Transportation Research Board Annual Meeting. Washington D.C., USA.

    5. Tu H., Zhao L., Tu R.*, 2023. Does early-stage automatic driving save energy? Empirical evidence from large-scale public road testing with varied road scenarios and vehicle types, in: The 102nd Transportation Research Board Annual Meeting. Washington D.C., USA.

    6. Chen Q., Niu C., Tu R.*, Li T., Wang A., He D., 2023. Investigating the Resource Allocation of Electric Buses with Uncertainty through Optimal Charging Strategy, in: The 102nd Transportation Research Board Annual Meeting. Washington D.C., USA.

    7. Su, Y., Zhang, A., Li, T., Chen, Q., Sun, J., Tu, R.*, 2022. Optimizing the Charging Plan and Fleet Size of Electric Buses with Energy Consumption Variations, in: The 101st Transportation Research Board Annual Meeting. Washington D.C., USA.

    8. Tu Ran, Tiezhu Li, Chunsheng Meng, Yisong Xie, Fangjian Xie, Feng Yang, Haibo Chen, Ying Li. “Estimating Emissions from Non-road Construction Machineries and Its Uncertainty Analysis”. Presented in the 24th International Transport and Air Pollution (TAP) Conference. Virtual Meeting, 2021.

    9. Tu Ran, Junshi Xu, An Wang, Zhiqiang Zhai, Marianne Hatzopoulou. “Real World Emissions under Local Drive Cycles and Comparison with Certification Testing”. Presented in the 100th Transportation Research Board Annual Meeting. Virtual Meeting, 2021.

    10. Tu Ran, Tiezhu Li, Chunsheng Meng, Yisong Xie, Fangjian Xie, Feng Yang. “Urban Emission Estimation and Uncertainty Analysis of Nonroad Construction Machinery with Field Measurement: A Case Study in Nanjing, China”. Presented in the 100th Transportation Research Board Annual Meeting. Virtual Meeting, 2021.

    11. Tu Ran, Yijun Gai, Bilal Farooq, Marianne Hatzopoulou. “Electric Vehicle Charging Optimization to Minimize Marginal Greenhouse Gas Emissions”. Presented in the 99th Transportation Research Board Annual Meeting. Washington DC, USA, 2020

    12. Tu Ran, Lama Alfaseeh, Shadi Djavadian, Bilal Farooq, Marianne Hatzopoulou. “Quantifying the Air Quality and Energy Consumption Impacts of Connected and Autonomous Vehicles in an Urban Network”. Presented in the Air and Waste Management Association’s the 112th Annual Conference & Exhibition (ACE), Quebec City, QC, Canada, 2019

    13. Tu Ran, An Wang, Marianne Hatzopoulou. “Improving the Spatial Accuracy of Regional Emission Inventories and Investigating the Transferability of Emission Modeling Approaches across Different Cities”. Presented in the 98th Transportation Research Board Annual Meeting, Washington DC, USA, 2019

    14. Tu Ran, Lama Alfaseeh,Shadi Djavadian, Marc Saleh, Bilal Farooq, Marianne Hatzopoulou. “What Happens to On-Road Emissions when Travel Time on a Road Network is Improved Through End-to-End Dynamic Routing for Connected Autonomous Vehicles?”. Presented in the 98th Transportation Research Board Annual Meeting, Washington DC, USA, 2019

    15. Tu Ran, Islam Kamel, Baher Abdulhai, Marianne Hatzopoulou. “Reducing transportation greenhouse gas emissions through the development of policies targeting high-emitting trips”. Presented in the 97th Transportation Research Board Annual Meeting, Washington DC, USA, 2018

    16. Tu Ran, Islam Kamel, An Wang, Baher Abdulhai, Marianne Hatzopoulou. “Developing Urban Transportation GHG Emission Inventories: Which Model Resolution and Input Detail is Appropriate?”.Presented in the 97th Transportation Research Board Annual Meeting, Washington DC, USA, 2018

    17. Tu Ran, Jianhe Du, Hesham Rakha. “System-Wide Impacts of Arterial and Freeway Eco-Cooperative Adaptive Cruise Control”. Presented in the 96th TRB Annual Meeting. Washington DC, USA, Jan 8-12, 2017

    18.  Xue, L., Tian, J., Li, T., Tu, R., 2022. Emission Deterioration Characteristics of Light-duty Gasoline Vehicles and Factor Analysis for Emissions Using Machine Learning Methods, in: The 101st Transportation Research Board Annual Meeting. Washington D.C., USA.

    19. Ahmed, U., Tu, R., Xu, J., Amirjamshidi, G., Hatzopoulou, M., Roorda, M.J., 2022. GPS Based Traffic Condition Classification using Machine Learning Approaches, in: The 101st Transportation Research Board Annual Meeting2. Washington D.C., USA.

    20. Wang An,Ran Tu, Junshi Xu, Zhiqiang Zhai, Marianne Hatzopoulou. “A Novel Modal Emission Modeling Approach and its Application with On-Road Emission Measurements”. Presented in the 100th Transportation Research Board Annual Meeting. Virtual Meeting, 2021

    21.  Xu Junshi,Ran Tu, Usman Ahmed, Glareh Amirjamshidi, Marianne Hatzopoulou, Matthew J. Roorda. “An Eco-Score System Incorporating Driving Behaviour, Vehicle Characteristics, and Traffic Conditions”. Presented in the 100th Transportaion Research Board Annual Meeting. Virtual Meeting, 2021

    22. Xu Junshi, An Wang, Ran Tu, Marc Saleh,Nicole Schmidt, Marianne Hatzopoulou. “Data-Driven Approach to Capture the Association Between Local Truck Movements and Near-Road Black Carbon Concentrations Using Mobile Measurements”. Presented in the 99th Transportation Research Board Annual Meeting. Washington DC, USA, 2020

    23.  Alfaseeh Lama, Shadi Djavadian, Ran Tu, Bilal Farooq, Marianne Hatzopoulou. “Multi-Objective Eco-Routing in a Distributed Traffic Management Framework with a Case Study of Downtown Toronto”. Presented in the 99th Transportation Research Board Annual Meeting. Washington DC, USA, 2020

    24.  Wang An, Ran Tu, Yijun (Jessie) Gai, I. Daniel Posen, Marianne Hatzopoulou. “Capturing the Uncertainties in Regional Emission Estimates Related to Vehicle Electrification Can Improve the Robustness of Decision-making”. Presented in the 98th Transportation Research Board Annual Meeting, Washington DC, USA, 2019