Projects per year
Personal profile
Biography
Dr. Nan Zheng received his BSc, MSc. and PhD degrees, in Transportation Engineering, from the Southeast University (China), Delft University of Technology, École polytechnique fédérale de Lausanne (EPFL), in 2007, 2009, and 2014, respectively. From November 2014 to August 2015, September 2015 to September 2016, he was appointed as a Post-doc by EPFL and the Federal Institute of Technology Zurich (ETHZ). Since October 2016, he was with Beihang University in Beijing, as an Associate Professor in the School of Transportation. He recently joins the Institute of Transport Studies at Monash University, as a Senior Lecturer. Dr. Nan Zheng’s research interests include traffic flow theory, traffic big data, urban traffic operation and control, multi-modal and new-generation traffic management. Most of his publications goes to the prestigious journals in traffic engineering, such as in Transportation Research series (Part A, B and C) on these topics.
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
Research area keywords
- Big Data
- Smart Cities
- mobility infrastructure
- Transport Planning
- Traffic Engineering
- Connected vehicles
- Autonomous Vehicles
Collaborations and top research areas from the last five years
Projects
- 1 Finished
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Research on Service Platform and Key Technologies of Semi-closed Park Autopilot System Driven by Multi-source Data
Zheng, N. & Lv, Y.
1/07/18 → 30/06/21
Project: Research
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Analyzing Riders’ Behavioral Adaptation to Driving Patterns of Advanced Autonomous Vehicles: A Virtual Reality Simulation Study
Xu, Z., Jiang, T., Xiao, D., Fang, Y. & Zheng, N., 30 Aug 2024, (Accepted/In press) In: International Journal of Human-Computer Interaction. 19 p.Research output: Contribution to journal › Article › Research › peer-review
Open Access -
Analyzing scenario criticality and rider's intervention behavior during high-level autonomous driving: A VR-enabled approach and empirical insights
Xu, Z., Zheng, N., Lv, Y., Fang, Y. & Vu, H. L., Jan 2024, In: Transportation Research Part C: Emerging Technologies. 158, 10 p., 104451.Research output: Contribution to journal › Article › Research › peer-review
Open Access7 Citations (Scopus) -
An efficient multi-modal urban transportation network partitioning approach for three-dimensional macroscopic fundamental diagram
Tang, S., Zheng, F., Zheng, N. & Liu, X., 1 Mar 2024, In: Physica A: Statistical Mechanics and its Applications. 637, 31 p., 129487.Research output: Contribution to journal › Article › Research › peer-review
2 Citations (Scopus) -
A novel generative adversarial network for improving crash severity modeling with imbalanced data
Chen, J., Pu, Z., Zheng, N., Wen, X., Ding, H. & Guo, X., Jul 2024, In: Transportation Research Part C: Emerging Technologies. 164, 29 p., 104642.Research output: Contribution to journal › Article › Research › peer-review
1 Citation (Scopus) -
A novel parallel computing framework for traffic assignment problem: Integrating alternating direction method of multipliers with Jacobi over relaxation method
Liu, Z., Dong, Y., Zhang, H., Zheng, N. & Huang, K., Sept 2024, In: Transportation Research Part E: Logistics and Transportation Review. 189, 17 p., 103687.Research output: Contribution to journal › Article › Research › peer-review