MARRS collaboration signing ceremony, photograph 3
MARRS collaboration signing ceremony, photograph 1
MARRS collaboration signing ceremony, photograph 2

Welcome to MARRS Lab

The Monash Research Center of Automated and Resilient Road Systems (MARRS) was established in 2018 and expanded in 2024. Led by Associate Professor Nan Zheng, we advance transport research through collaboration and interdisciplinary methods. Our work spans urban and freight transport, robotic vehicles, resilient networks and future mobility services.

We are committed to excellence in research, education, and service. Our lab provides a supportive and collaborative environment where creativity and innovation thrive. We welcome collaborations with industry partners, other academic institutions, and researchers from around the world.

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News & Updates

Nan Zheng's 2026 top 2% scientists listing for single-year citation impact in Logistics and Transportation

Nan Zheng among the world's top 2% scientists

Associate Professor Nan Zheng is listed among the world's top 2% scientists in the 2026 Stanford–Elsevier release for citation impact, in Logistics & Transportation.

MARRS team at the 2026 NEXUS pitch competition finals in Melbourne

First place at NEXUS 2026

MARRS won first place at the 2026 NEXUS “AI-Powered Innovation for Cities” Pitch Competition in Melbourne, showcasing AI-enabled innovation for future cities.

Teaching award medal

Teaching award for Nan Zheng

Associate Professor Nan Zheng received the Dean's Award for Innovation in Learning and Teaching and was nominated for the President's Award.

Visiting students with the MARRS team

Welcoming visiting students

MARRS hosted more than 20 visiting students from China, including Central South University, Beijing Jiaotong University and Dalian University of Technology.

Portrait of Xiaowei Yu

Xiaowei Yu joins MARRS

Xiaowei Yu has joined the lab to research human–AI interaction.

Portrait of Lingwen Zhu

Lingwen Zhu joins MARRS

Lingwen Zhu has joined the lab to research medical and emergency logistics.

Mohan Kumar and Ji Zhou at the postgraduate conference

Monash Engineering Postgraduate Conference

Mohan Kumar and Ji Zhou gave oral and poster presentations at the 5th Monash Engineering Postgraduate Conference.

Xiaowei Yu presenting at CICTP 2026

CICTP 2026 presentation

Xiaowei Yu gave an oral presentation at the 26th COTA International Conference of Transportation Professionals (CICTP 2026).

Portrait of Haoran Hu

PhD offer for Haoran Hu

Haoran Hu received a PhD offer to research logistics and urban air mobility.

Autonomous haulage system

New studies on autonomous mining systems

Recent studies on autonomous mining systems have been published, including Zhou et al. (2026) in Transport Policy, 185, 104218; Transportmetrica B: Transport Dynamics, 14, 2659893; and the IEEE Intelligent Vehicles Symposium (IV), 1932–1937. Transport Policy paper · Trajectory planning paper.

Automated heavy goods vehicle research

Research on automated heavy goods vehicles

A study on ADS-equipped heavy goods vehicle operations has been published: Xu et al. (2026), Accident Analysis & Prevention, 234, 108594. View paper.

Highway traffic simulation calibration

Calibrating highway traffic simulation

A study on an integrated multi-scenario calibration framework for driving behaviour parameters in highway traffic simulation has been published: Shi et al. (2026), Computer-Aided Civil and Infrastructure Engineering, 48, 100095. View paper.

Smart modular delivery lockers

Last-mile delivery with smart modular lockers

A study on last-mile delivery optimisation with smart modular lockers has been published: Zhou et al. (2026), Computers & Industrial Engineering, 217, 112069. View paper.

Portrait of Ji Zhou

PhD confirmation for Ji Zhou

Ji Zhou successfully completed their PhD confirmation.

Portrait of Yuxuan Li

PhD confirmation for Yuxuan Li

Yuxuan Li successfully completed their PhD confirmation.

Portrait of Jiaxuan Zhou

Jiaxuan Zhou joins MARRS

Jiaxuan Zhou has joined the lab to research human–vehicle interaction.

Portrait of Zheng Xu

Zheng Xu appointed Professor

Dr. Zheng Xu has joined Central South University as a Professor.

Drone and low-altitude transport research

Research on low-altitude transport and autonomous systems

Our research on low-altitude transport and autonomous systems includes Xu et al. (2026), Journal of Air Transport Management, 132, 102948; Xu et al. (2025), Transportation Research Part C, 181, 105367; Huang et al. (2025), Transportation Research Part C, 179, 105271; Zhao et al., IEEE Transactions on Vehicular Technology (online 2025; issue 2026); and Zhou et al. (2025), IEEE Transactions on Intelligent Vehicles, 10, 5008–5022. Low-altitude transport study.

SIDRA SOLUTIONS Postgraduate Award

SIDRA SOLUTIONS Postgraduate Award

Dr. Zheng Xu received the 2025 SIDRA SOLUTIONS Postgraduate Award for his thesis, 'Human-Centric Analysis of Critical Scenarios and Operational Efficiency during High-level Autonomous Driving'.

Portrait of Ji Zhou

Ji Zhou joins MARRS

Ji Zhou has joined the lab to research optimisation in autonomous systems.

Portrait of Yinfei Xi

PhD completion for Yinfei Xi

Congratulations to Dr. Yinfei Xi on completing his PhD.

Portrait of Zheng Xu

PhD completion for Zheng Xu

Congratulations to Dr. Zheng Xu on completing his PhD.

Outstanding Supervision Award certificate

Outstanding Supervision Award

Nan Zheng received the Outstanding Supervision Award in recognition of exceptional graduate research supervision.

Portrait of Dong Xiao

PhD completion for Dong Xiao

Congratulations to Dr. Dong Xiao on completing his PhD.

Excellence in Research Award certificate

Excellence in Research Award

Dr. Nan Zheng is awarded Excellence in Research in recognition of a strong publication record in high-impact journals, evidence of attracting competitive research grants, successful postgraduate supervision, active research collaborations and networks, invitations to present at conferences, and contributions to prestigious journal editorial boards.

Portrait of Ruyang Yin

PhD completion for Ruyang Yin

Congratulations to Dr. Ruyang Yin on completing her PhD.

Lab Director

Portrait of Associate Professor Nan Zheng

Nan Zheng

Associate Professor & Lab Director

Associate Professor Nan Zheng is the founding director of MARRS. He received his BSc, MSc and PhD in Transportation Engineering from Southeast University, Delft University of Technology and École polytechnique fédérale de Lausanne (EPFL) in 2007, 2009 and 2014, respectively.

Before joining Monash University in 2018, he held postdoctoral appointments at EPFL and ETH Zurich and an Associate Professor position at Beihang University.

His research focuses on macroscopic traffic flow theory, regional traffic control and optimisation, autonomous systems, safety assessment and future transport services.

His publications connect transport network modelling, intelligent control and data-driven methods with real-world mobility challenges.

Contact Information

nan.zheng@monash.edu LinkedIn Profile Google Scholar Personal Homepage

Lab Members

Portrait of Dr. Yinfei Xi

Dr. Yinfei Xi

Research Fellow

Project Manager

Portrait of Dr. Zheng Xu

Dr. Zheng Xu

Research Fellow

Simulation

Portrait of Dr. Dong Xiao

Dr. Dong Xiao

Research Fellow

Data

Portrait of Mohan Kumar

Mohan Kumar

Ph.D. Student

Road

Portrait of Ji Zhou

Ji Zhou

Ph.D. Student

Optimisation in autonomous systems

Portrait of Yuxuan Li

Yuxuan Li

Ph.D. Student

Human factors

Portrait of Jiaxuan Zhou

Jiaxuan Zhou

Ph.D. Student

Human–vehicle interaction

Portrait of Lingwen Zhu

Lingwen Zhu

Ph.D. Student

Medical and emergency logistics

Portrait of Xiaowei Yu

Xiaowei Yu

Ph.D. Student

Human–AI interaction

Portrait of Haoran Hu

Haoran Hu

Ph.D. Student

Logistics and urban air mobility

Portrait of Junlan Chen

Junlan Chen

Ph.D. Student

Algorithm

Portrait of Tanghan Jiang

Tanghan Jiang

Ph.D. Student

Simulation

Portrait of Qishen Ye

Qishen Ye

Ph.D. Student

Simulation

Past Members

Portrait of Dr. Ruyang Yin

Dr. Ruyang Yin

Alumna

Algorithm

Now academic at Southeast University

Portrait of Dr. Wenhua Jiang

Dr. Wenhua Jiang

Alumnus

Data

Now academic at Heriot-Watt University

Profile illustration for Dr. Yifan Chen

Dr. Yifan Chen

Alumnus

Simulation

Now academic at Nanjing University of Science and Technology

Research Areas

Traffic Flow Operation and Control

Traffic Flow, Resilience & Network Control

Our research connects macroscopic traffic flow theory, macroscopic fundamental diagrams (MFDs) and network science to understand and manage congestion in large urban road networks. We develop perimeter and hierarchical control, coordinated operations and pricing strategies for multimodal and connected transport, with attention to resilience, uncertainty and equitable access.

Traffic flowMFDNetwork resilienceCoordinated control

Selected Publications

Mitigating traffic oscillations in mixed traffic flow with scalable deep Koopman predictive control

Hao Lyu, Yanyong Guo, Pan Liu, Nan Zheng, Ting Wang, Quansheng Yue

Advanced Engineering Informatics, 71(Part A), 104258, 2026

View paper

Ramp layout optimization and integrated control for mixed networks of freeways and arterial roads in an intelligent connected vehicle environment

Heng Ding, Yuanhao Meng, Nan Zheng, Xiaoyan Zheng, Wenjuan Huang, Chenyang Qin

Transportation Research Part C: Emerging Technologies, 176, 105124, 2025

View paper

Two-layer control strategy response to regional cyberattacks on large-scale road networks in a connected vehicle environment

Liangwen Wang, Heng Ding, Nan Zheng, Xiaoyan Zheng

Transportation Research Part C: Emerging Technologies, 174, 105116, 2025

View paper

A novel hierarchical perimeter control method for road networks considering boundary congestion in a mixed CAV and HV traffic environment

Heng Ding, Liangwen Wang, Nan Zheng, Zeyang Cheng, Xiaoyan Zheng, Jiye Li

Transportation Research Part B: Methodological, 195, 103219, 2025

View paper

Percolation-based dynamic perimeter control for mitigating congestion propagation in urban road networks

Homayoun Hamedmoghadam, Nan Zheng, Daqing Li, Hai L. Vu

Transportation Research Part C: Emerging Technologies, 145, 103922, 2022

View paper

Dynamic dispatch of connected taxis for large-scale urban road networks with stochastic demands: An MFD-enabled hierarchical and cooperative approach

Heng Ding, Jiye Li, Nan Zheng, Xiaoyan Zheng, Wenjuan Huang, Haijian Bai

Transportation Research Part C: Emerging Technologies, 142, 103792, 2022

View paper

Resilient perimeter control for hyper-congested two-region networks with MFD dynamics

Shengling Gao, Daqing Li, Nan Zheng, Ruiqi Hu, Zhikun She

Transportation Research Part B: Methodological, 156, 50–75, 2022

View paper

Area-based equitable pricing strategies for multimodal urban networks with heterogeneous users

Nan Zheng, Nikolas Geroliminis

Transportation Research Part A: Policy and Practice, 136, 357–374, 2020

View paper

Modeling and optimization of multimodal urban networks with limited parking and dynamic pricing

Nan Zheng, Nikolas Geroliminis

Transportation Research Part B: Methodological, 83, 36–58, 2016

View paper

Time-dependent area-based pricing for multimodal systems with heterogeneous users in an agent-based environment

Nan Zheng, Guillaume Rérat, Nikolas Geroliminis

Transportation Research Part C: Emerging Technologies, 62, 133–148, 2016

View paper

A dynamic cordon pricing scheme combining the macroscopic fundamental diagram and an agent-based traffic model

Nan Zheng, Rashid A. Waraich, Kay W. Axhausen, Nikolas Geroliminis

Transportation Research Part A: Policy and Practice, 46(8), 1291–1303, 2012

View paper
Robotics & Autonomous Systems

Robotics & Autonomous Systems

We study autonomous vehicles and robotic transport systems, from motion and trajectory planning to robust control, high-fidelity simulation and human–vehicle interaction. Our work supports coordinated vehicles in complex road and off-road environments, including autonomous haulage, and evaluates safety, operational performance and the experience of road users.

Autonomous vehiclesTrajectory planningHuman–vehicle interactionSafety validation

Selected Publications

Robust Path-Tracking Control of Networked Autonomous Vehicles for Multiple Source Uncertainties

Wenqiang Zhao, Hongqian Wei, Chen Lin, Nan Zheng, Youtong Zhang

IEEE Transactions on Vehicular Technology, 75(6), 9157–9170, 2026

View paper

A multi-level framework for collaborative vehicle trajectory planning in unstructured road environments

Ji Zhou, Biao Xu, Yougang Bian, Hongmao Qin, Chen Wang, Nan Zheng

Transportmetrica B: Transport Dynamics, 14(1), 2659893, 2026

View paper

Post-interactive multimodal trajectory prediction for autonomous driving

Ziyi Huang, Yang Li, Dushuai Li, Yao Mu, Hongmao Qin, Nan Zheng

Transportation Research Part C: Emerging Technologies, 179, 105271, 2025

View paper

Analyzing riders’ behavioral adaptation to driving patterns of advanced autonomous vehicles: A virtual reality simulation study

Zheng Xu, Tanghan Jiang, Dong Xiao, Yihai Fang, Nan Zheng

International Journal of Human–Computer Interaction, 41(12), 7273–7291, 2025

View paper

Safety validation for connected autonomous vehicles using large-scale testing tracks in high-fidelity simulation environment

Zheng Xu, Xiaomeng Wang, Xuesong Wang, Nan Zheng

Accident Analysis & Prevention, 215, 108011, 2025

View paper

Time-dependent effect of advanced driver assistance systems on driver behavior based on connected vehicle data

Yuzhi Chen, Yuanchang Xie, Chen Wang, Liguo Yang, Nan Zheng, Lan Wu

Analytic Methods in Accident Research, 45, 100370, 2025

View paper

String stability under general topologies for CAVs: A coupled sliding surface-based distributed TMPC approach

Xuan Wang, Hongmao Qin, Yougang Bian, Dezong Zhao, Nan Zheng

Transportation Research Part E: Logistics and Transportation Review, 194, 103937, 2025

View paper

Real-time model predictive control of path-following for autonomous vehicles towards model mismatch and uncertainty

Wenqiang Zhao, Hongqian Wei, Qiang Ai, Nan Zheng, Chen Lin, Youtong Zhang

Control Engineering Practice, 153, 106126, 2024

View paper

Investigating the Impact of Automated Vehicles on the Safety and Operation of Low‐Speed Urban Networks

Amir Hossein Karbasi, Nan Zheng, Steve O’Hern

Journal of Advanced Transportation, 2024(1), 3835831, 2024

View paper

Integrating connected autonomous shuttle buses as an alternative for public transport – A simulation-based study

Zheng Xu, Nan Zheng

Multimodal Transportation, 3(2), 100133, 2024

View paper

Analyzing scenario criticality and rider’s intervention behavior during high-level autonomous driving: A VR-enabled approach and empirical insights

Zheng Xu, Nan Zheng, Yisheng Lv, Yihai Fang, Hai L. Vu

Transportation Research Part C: Emerging Technologies, 158, 104451, 2024

View paper

Infrastructure requirement for autonomous vehicle integration for future urban and suburban roads – Current practice and a case study of Melbourne, Australia

Hesavar Manivasakan, Riddhi Kalra, Steve O'Hern, Yihai Fang, Yinfei Xi, Nan Zheng

Transportation Research Part A: Policy and Practice, 152, 36–53, 2021

View paper
Emergency response applications across transport, infrastructure and remote environments

Emergency & Disaster Response

We build on our foundations in resilient transport networks, urban traffic coordination, autonomous vehicles and UAVs, and intelligent systems and algorithms to explore emergency and disaster response. We consider how urban infrastructure and coordinated traffic management can maintain essential access during disruption, how emergency services can be planned across complex urban environments, and how autonomous ground vehicles and UAVs can support inspection, situational awareness and response in remote mountain and bushfire settings.

Resilient networksEmergency service planningCoordinated trafficAutonomous response

Selected Publications

A Unified Optimization Approach for Surveillance and Delivery Tasks by Unmanned Vehicles in Emergency Response

Ji Zhou, Yuanda Wang, Wei Xu, Xuekai Cen, Nan Zheng

30th International Conference of Hong Kong Society for Transportation Studies, Hong Kong, 14–15 December 2026 (upcoming conference)

Conference website

Robust Path-Tracking Control of Networked Autonomous Vehicles for Multiple Source Uncertainties

Wenqiang Zhao, Hongqian Wei, Chen Lin, Nan Zheng, Youtong Zhang

IEEE Transactions on Vehicular Technology, 75(6), 9157–9170, 2026

View paper

A novel hierarchical perimeter control method for road networks considering boundary congestion in a mixed CAV and HV traffic environment

Heng Ding, Liangwen Wang, Nan Zheng, Zeyang Cheng, Xiaoyan Zheng, Jiye Li

Transportation Research Part B: Methodological, 195, 103219, 2025

View paper

Performance evaluation of struck-by-accident alert systems for road work zone safety

Qishen Ye, Yihai Fang, Nan Zheng

Automation in Construction, 168, 105837, 2024

View paper

Bimodal Traffic Evacuation Management for Road Tunnels Considering Social Fairness: CTM-Based Model

Ruyang Yin, Nan Zheng, Zhen Zhou

Journal of Transportation Engineering, Part A: Systems, 149(7), 04023058, 2023

View paper

Resilient perimeter control for hyper-congested two-region networks with MFD dynamics

Shengling Gao, Daqing Li, Nan Zheng, Ruiqi Hu, Zhikun She

Transportation Research Part B: Methodological, 156, 50–75, 2022

View paper
Low-altitude logistics connecting drones, road vehicles and communities

Low-Altitude Logistics & Future Services

We investigate future logistics services that integrate drones, road vehicles and local infrastructure. Our work connects infrastructure planning, operations research for routing and scheduling, and service evaluation that accounts for the built environment, geography and population distribution. We examine cost, responsiveness, community impacts and spatial equity, alongside policy and governance, with the aim of improving access for rural and remote residents and supporting community-led services for Aboriginal and Torres Strait Islander peoples.

Infrastructure planningRouting and schedulingService evaluationSpatial equityPolicy and governance

Selected Publications

Sustainable Design of Smart Multimodal Urban Logistics in the Era of AI and Low-Altitude Economy

Hui Fu, Hongpeng Li, Youbin Chen, Jiahong Zhao, Zhixuan Wu, Zhenqi Liang, Nan Zheng

Design for Augmented Humanity, 1(1), 67–82, 2026

View paper

Multi-perspective evaluation of human factors in advanced low-altitude transportation adoption: a virtual reality simulation study

Zheng Xu, Jun Hua, Guangquan Lu, Nan Zheng

Journal of Air Transport Management, 132, 102948, 2026

View paper

Spatially Selective Drone Delivery in Low-altitude Logistics: Built Environment Effects on Operational Costs, Responsiveness, Community Exposure and Equity

Ji Zhou, Yinfei Xi, Yunlong Tang, Hui Fu, Nan Zheng

SSRN, posted 6 August 2026 Preprint · not peer reviewed

View preprint

Area-based equitable pricing strategies for multimodal urban networks with heterogeneous users

Nan Zheng, Nikolas Geroliminis

Transportation Research Part A: Policy and Practice, 136, 357–374, 2020

View paper
Machine Learning & Artificial Intelligence

Machine Learning & Artificial Intelligence

We develop data-driven and agentic AI methods for transport planning and operations. Our work combines large language models, reinforcement learning, robust optimisation and predictive control to support route choice, vehicle coordination and service dispatch under uncertain demand and travel conditions.

Agentic AIReinforcement learningOperations researchPredictive control

Selected Publications

Agentic Large Language Models for day-to-day route choices

Leizhen Wang, Peibo Duan, Zhengbing He, Cheng Lyu, Xin Chen, Nan Zheng, Li Yao, Zhenliang Ma

Transportation Research Part C: Emerging Technologies, 180, 105307, 2025

View paper

Mitigating traffic oscillations in mixed traffic flow with scalable deep Koopman predictive control

Hao Lyu, Yanyong Guo, Pan Liu, Nan Zheng, Ting Wang, Quansheng Yue

Advanced Engineering Informatics, 71(Part A), 104258, 2026

View paper

Data-driven optimization for ride-sourcing vehicle dispatching and relocation under demand and travel time uncertainty

Yunping Huang, Nan Zheng, Zheng Huang, Enming Liang, Shu-Chien Hsu, Renxin Zhong

Transportation Research Part C: Emerging Technologies, 178, 105217, 2025

View paper

Bi-objective robust nonlinear decision approach for en-route bus speed control considering implementation errors and traffic uncertainties

Pengjie Liu, Liang Zheng, Nan Zheng

Transportation Research Part C: Emerging Technologies, 169, 104870, 2024

View paper

Coordinated optimization of signal timing for intersections with dynamic shared through- and right-turn lanes

Zhe Zheng, Jian Yuan, Kun An, Nan Zheng, Wanjing Ma

Journal of Intelligent and Connected Vehicles, 7(3), 219–228, 2024

View paper

A novel parallel computing framework for traffic assignment problem: Integrating alternating direction method of multipliers with Jacobi over relaxation method

Zhiyuan Liu, Yu Dong, Honggang Zhang, Nan Zheng, Kai Huang

Transportation Research Part E: Logistics and Transportation Review, 189, 103687, 2024

View paper

A deep reinforcement learning based distributed control strategy for connected automated vehicles in mixed traffic platoon

Haotian Shi, Danjue Chen, Nan Zheng, Xin Wang, Yang Zhou, Bin Ran

Transportation Research Part C: Emerging Technologies, 148, 104019, 2023

View paper

A simulation-based model for continuous network design problem using Bayesian optimization

Ruyang Yin, Zhiyuan Liu, Nan Zheng

IEEE Transactions on Intelligent Transportation Systems, 23(11), 20352–20367, 2022

View paper

Reconstructing vehicle trajectories on freeways based on motion detection data of connected and automated vehicles

Peng Chen, Tong Wang, Nan Zheng

Journal of Intelligent Transportation Systems, 26(6), 639–654, 2022

View paper

Improved dynamic time warping algorithm for bus route trajectory curve fitting

Yinfei Xi, Di Huang, Yu Yuan, Zhiyuan Liu, Khadka Anish, Nan Zheng

Journal of Transportation Engineering, Part A: Systems, 147(8), 04021044, 2021

View paper
Data Science & Analytics

Data Science & Analytics

We analyse transport and safety data to support evidence-based decisions. Our work includes crash modelling with imbalanced data, the effects of built environment and traffic conditions, road work zone safety, and simulation-based evaluation. Statistical learning, interpretable models and virtual reality help connect system performance with human behaviour.

Safety analyticsBuilt environmentStatistical learningSimulation

Selected Publications

Prediction and interpretation of crash severity using machine learning based on imbalanced traffic crash data

Junlan Chen, Pei Liu, Shuo Wang, Nan Zheng, Xiucheng Guo

Journal of Safety Research, 93, 185–199, 2025

View paper

Estimating safety benefit of in-vehicle work zone safety technology alerts: A counterfactual Monte-Carlo simulation approach

Qishen Ye, Yihai Fang, Nan Zheng

Accident Analysis & Prevention, 215, 108014, 2025

View paper

Does built environment have impact on traffic congestion?—A bootstrap mediation analysis on a case study of Melbourne

Dong Xiao, Inhi Kim, Nan Zheng

Transportation Research Part A: Policy and Practice, 190, 104297, 2024

View paper

Performance evaluation of struck-by-accident alert systems for road work zone safety

Qishen Ye, Yihai Fang, Nan Zheng

Automation in Construction, 168, 105837, 2024

View paper

Understanding construction workers’ cognitive processes under risky scenarios through electroencephalography

Tanghan Jiang, Yihai Fang, Nan Zheng, Jiayu Chen

Automation in Construction, 166, 105674, 2024

View paper

Investigating built environment and traffic flow impact on crash frequency in urban road networks

Dong Xiao, Hongliang Ding, N. N. Sze, Nan Zheng

Accident Analysis & Prevention, 201, 107561, 2024

View paper

A novel generative adversarial network for improving crash severity modeling with imbalanced data

Junlan Chen, Ziyuan Pu, Nan Zheng, Xiao Wen, Hongliang Ding, Xiucheng Guo

Transportation Research Part C: Emerging Technologies, 164, 104642, 2024

View paper

Assessing bicycle-vehicle conflicts at urban intersections utilizing a VR integrated simulation approach

Zheng Xu, Nan Zheng, David B. Logan, Hai L. Vu

Accident Analysis & Prevention, 191, 107194, 2023

View paper

Simulation-based analysis of second-best multimodal network capacity

Ruyang Yin, Xin Liu, Nan Zheng, Zhiyuan Liu

Transportation Research Part C: Emerging Technologies, 145, 103925, 2022

View paper

Ongoing Projects

Autonomous Driving Key Technology and Control Platform for Operating Open-pit Mine Trucks

Autonomous Driving Key Technology and Control Platform for Operating Open-pit Mine Trucks

Research on autonomous driving technologies and a control platform for open-pit mine truck operations.

OngoingA$490kFunded by JITRI & Monash University2025–2028
Remote Control Training Platform and Program Development for Autonomous Driving Trucks

Remote Control Training Platform and Program Development for Autonomous Driving Trucks

Development of a remote-control training platform and training programme for autonomous trucks.

OngoingA$182kFunded by WIIRI2024–2026
Hierarchical Control for Multi-structure Large-scale Urban Road Networks using Network Science

Hierarchical Control for Multi-structure Large-scale Urban Road Networks using Network Science

Network-science methods for hierarchical control across large urban road networks with multiple structures.

OngoingA$160kFunded by NSF-China2025–2027

Completed Projects

Platform, Technologies and Service Solutions for Autonomous Vehicles for Touristic Shuttle Buses

Platform, Technologies and Service Solutions for Autonomous Vehicles for Touristic Shuttle Buses

Autonomous vehicle platforms, enabling technologies and service solutions for tourism shuttle bus operations.

CompletedA$921kFunded by JITRI & Monash University2018–2022
Macroscopic Approaches for Monitoring and Managing Traffic Congestion in Multimodal Road Networks

Macroscopic Approaches for Monitoring and Managing Traffic Congestion in Multimodal Road Networks

Macroscopic methods to monitor and manage congestion across multimodal road networks.

CompletedA$145kFunded by NSF-China2017–2019
Traffic Control for Large-scale Signalised Road Networks of Connected Vehicles and Demand Uncertainties

Traffic Control for Large-scale Signalised Road Networks of Connected Vehicles and Demand Uncertainties

Large-scale signalised network control accounting for connected vehicles and uncertain travel demand.

CompletedA$160kFunded by NSF-China2017–2020