Dr. Nan Zheng

Dr. Nan Zheng

Deputy Director of Research Training, Senior Lecturer in Transport Engineering
Department of Civil Engineering
Room 101, 23 College Walk (B60), Clayton Campus

Dr. Nan Zheng received his BSc, MScand 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. 

Previous appointments:

  • Beihang University, Beijing, China,  Associate professor, 2016-2018
  • ETHZ, Post-doctoral researcher, Switzerland, 2015-2016
  • EPFL, Post-doctoral researcher, Switzerland, 2014-2015


  • Doctor of Philosophy in Traffic Engineering, Ecole Polytechnique Federal de Lausanne (EPFL)
  • Master of Science in Transport and Planning, Delft University of Technology
  • Bachelor of Science in Traffic Engineering, Southeast University


Modeling and Optimization of Transport Systems, Traffic Operation and Control, Connected and Automated Mobility

Research Interests

Over decades, traffic models and control strategies based on dis-aggregated traffic flow models, which track individual vehicle movements on a second or sub-second basis, have been proposed and applied for isolated intersections or coordinated intersections in urban cities. Most recently, macroscopic network traffic modelling which shifts to a network level aims at simplifying the complex task of urban network modelling where the collective traffic flow dynamics of sub-networks(regions) capture the key characteristics of traffic congestion propagation, such as the evolution of traffic states in different regions of the city. The macro approaches have been demonstrated by many as an innovative and efficient tool for monitoring and control in urban networks, at an entirely different layer. Dr. Nan Zheng believes deeply the rational and the academic potential of the macroscopic approach in traffic modeling and optimization. His research and development thus closely follow and promote this research direction, in particular with focus on multimodal traffic modelling and control, addressing both theoretical and empirical aspects.

Our current research are carried on from the following aspects:

  • Macroscopic modeling of multi-modal traffic dynamics
  • Network-level traffic flow and multi-modal  optimization
  • Design and operation of new-generation transport systems

Research Projects

Past projects

Movement Conflicts in multi-modal urban traffic systems: Modeling congestion and developing more sustainable cities

Swiss National Science Foundation project 2010-2014

Modeling and controlling traffic congestion and propagation in large-scale urban multimodal networks,

ERC Starting Grant ‘‘METAFREW” 2014-2016

NetCap intermodal capacity of links, segments and networks

Swiss federal institute ETH-EPFL joint project 2012-2015

DIPLOMAT: Design, optimization and control of urban multimodal systems

Swiss National Science Foundation project 2016-2019

Journal publications

Fine-tuning time-of-day partitions for signal timing plan development: Revisiting clustering approaches (2019), Peng Chen, Nan Zheng*, Weili Sun, Yunpeng Wang, Transportmetrica A: 1-20.

Approximative network partitioning for MFDs from stationary sensor data (2019), Lukas Ambuehl, Allister Loder, Nan Zheng*, Kay Axhausen, Monica Menendez, Transportation Research Record (accepted)

Investigation on the bi-modal Macroscopic Fundamental Diagrams in large-scale urban networks – An empirical study with GPS data of Shenzhen city (2019), Chongxuan Huang, Nan Zheng*, Jun Zhang, Transportation Research Record (accepted)

A systematic analysis of multimodal transport systems with road space distribution and responsive bus service (2018),  Fangni Zhang, Nan Zheng*, Hai Yang, Nikolas Geroliminis, Transportation Research Part C 96: 208-230.

Multi-scale perimeter control approach in a connected-vehicle environment (2018), Kaidi Yang, Nan Zheng*, Monica Menendez, Transportation Research Part C 94: 32-49.

Perimeter flow control for bi-modal urban road networks (2017), Konstantinos Aboudolas, Nan Zheng, Nikolas Geroliminis. Transportation Research Part B 104: 616-637.

A macroscopic approach for optimizing road space allocation of bus lanes in multimodal urban networks through simulation analysis (2017), Nan Zheng*, Takao Dantsuji, Pengfei Wang, Nikolas Geroliminis, Transportation Research Record  2651: 42-51.

Modeling and optimization of multimodal urban networks with limited parking and dynamic pricing (2016), Nan Zheng, Nikolas Geroliminis, Transportation Research Part B 83: 36-58.

Time-dependent area-based pricing for multimodal systems with heterogeneous users in an agent-based environment (2016), Nan Zheng, Guillaume Rerat, Nikolas Geroliminis, Transportation Research Part C 62: 133-148.

A three-dimensional macroscopic fundamental diagram for mixed bi-modal urban networks (2014), Nikolas Geroliminis, Nan Zheng*, Konstantinos Aboudolas, Transportation Research Part C 57: 168-181.

On the distribution of road space for urban multimodal congested networks (2013), Nan Zheng, Nikolas Geroliminis, Transportation Research Part B 57: 326-341.

A dynamic cordon pricing scheme combining the Macroscopic Fundamental Diagram and an agent-based traffic model (2012), Nan Zheng, Rashid A. Waraich, Kay W. Axhausen, Nikolas Geroliminis, Transportation Research Part A 46(8): 1291–1303.


Conferences proceedings

On the distribution of urban road space for multimodal congested networks (2013), Nan Zheng, Nikolas Geroliminis, In the Proc. of the 20th International Symposium on Transportation and Traffic Theory (ISTTT), Noordwijk, the Netherlands

Multi-scale perimeter control approach in a connected-vehicle environment (2017), Kaidi Yang, Nan Zheng*, Monica Menendez, In the Proc. of the 22nd International Symposium on Transportation and Traffic Theory (ISTTT), Evanston, the U.S.

2018.08~present, Multi-source and Advanced Vehicle Solutions for Operation of CAV-based Semi-closed Mobility Systems, Monash-JITRI Research Funding, in collaboration with Suzhou Automobile Research Institute by Tsinghua University, PI

2018.01~2018.12, Understanding and Modeling Traffic Dynamics and Congestion Propagation in Complex Multi-modal Urban Networks, National Science Funds China – Starting Grant, PI



Furqan Bhat (Monash-IITB, supervisor)
Effect of human factor and dynamics of connected and autonomous vehicles on highway infrastructure elements

Ruyang YIN (Monash, supervisor)
Operation of CAV-based semi-closed mobility systems
2019 to ongoing

Dong XIAO (Monash, co-supervisor)
Spatial and traffic analytics through agent-based modeling and multi-source data
2019 to ongoing

Yifan CHEN (Monash, co-supervisor)
Large-scale traffic flow modeling and control
2019 to ongoing

Yingxu Rui (Beihang, co-supervisor)
Modeling and control of bicycle traffic flow
2018 to ongoing

Jiali Li (Southwest Jiaotong, co-supervisor)
Modeling and optimization of traffic signal for multimodal corridors
2018 to ongoing

Wenhua JIANG (Monash, co-supervisor)
Short-term passenger demand prediction and crowd management for special events
2017 to ongoing

Ming LI (Beihang, co-supervisor)
On the demand-supply matching, optimal planning and operation for ride sharing vehicle systems
2017 to ongoing

Yutong SHEN (Beihang, co-supervisor)
Dynamic modeling and optimization of network-level traffic flow for new-generation ride-sharing system: A macroscopic approach
2016 to ongoing


Andy Carlos (Monash, supervisor)
Guideline for design integrated multimodal network with CAV and EV considerations

Huan Liu (SEU, visiting)
Understanding network traffic flow dynamics via machine learning approaches

Zonglin Guo (SEU, visiting)
Interactive approach combining network partition with multi-region control

Tamara Katai (Monash, supervisor)
Planning and operation guideline for CAV shared mobility zones

Chongxuan HUANG (Beihang, supervisor)
The empirical finds on the multi-modal Macroscopic Fundamental Diagrams in mega urban cities: the existence, network partition and bus operation control
2017 to 2019

Jun ZHANG (Beihang, supervisor)
Understanding the demand of non-motorized mobility in urban cities, optimal design and operation of infrastructure
2017 to onging

Stafan NAEF (EPFL, co-supervisor)
Integration of user groups with different value-of-time in the bi-modal Macroscopic Fundamental Diagram model
2013 to 2014

Takao DANTUJI (EPFL, co-supervisor)
Optimal space allocation for multimudal urban road networks with macroscopic appraoch
2014 to 2015

Hugo LAKSHMANAN (EPFL, co-supervisor)
Advanced analysis of performance and disruptions in the operations of public transport systems
2014 to 2015

Teaching Commitments

  • CIV5301/6301 - Advanced traffic engineering
  • CIV5308 - Case studies in transport
  • CIV2282 - Transport and traffic engineering
Last modified: 14/01/2021