Projects and experience

• Investigation of (shared) bicycle user behaviors based on GPS-based naturalistic cycling data for policy making and infrastructure design – funded by BJTU, 2024.9– 2025.9. PI
• Active mode traffic flow behavioral analysis and modeling based on advanced positioning systems and stated preference approach – funded by BJTU, 2023.9– 2024.9. PI
• Analysis on the reduction of sensor points Digitale Gracht (DG) – funded by municipality of Amsterdam, 2024. 1 – 2025. Co-PI
  • Analysed number, location and type of sensors in DG, to see how this affects information provided to municipality
  • Determined performance of potential alternative sensors while maintaining KPI quality
• MEDIATOR - MEdiating between Driver and Intelligent Automated Transport systems on Our Roads – funded by EU Horizon,  2020-2023.
  • The project develops a self-learning mediating system for car drivers, guaranteeing safe, real-time switching between the human driver and automated system based on which is fittest to drive
  • Performed data analysis to gain insights and evaluate the developed system using field-test driving data collected from experienced drivers
• Nationale standaardisatie Fiets verplaatsingsdata - national cycling data analysis and exploration - funded by Dutch Ministry of Transport (Rijkswaterstaat-RWS), 2023.1 – 2023.9.
  • Developed bicycle data-driven application framework to harness cycling data and extract relevant insights
  • Cyclist behavioral analysis and bicycle traffic state estimation
  • Proposed a conceptual framework for bike delay estimation at signalized intersections
• MOCOLODO: Mobility during and after corona lock-down: sustainability, safety, inclusion - funded by ZonMw, 2020.10 – 2022.10.
  • Investigated Covid effect on traffic demand (car, bike and PT) and travel behaviour change (pedestrians, cyclists)
  • Analysed multi-modal traffic data (loop detection, Translink OV check in/out data, UMO panel survey data)
• STIMULUS Project: Modelling Cyclist Behaviour in a Shared Space Environment - funded by AMS (Amsterdam Institute for Advanced Metropolitan Solutions), 2016.10-2017.10. PI
  • Modelled shared space traffic flow
  • Performed simulation study and design scenario analysis
• Quanzhou Hub Traffic Analysis and Pedestrian Simulation, 2016.10 -2017.10. PI
  • Performed static passenger demand analysis
  • Conducted dynamic crowd simulation and analysis
  • Supported and improved the transportation hub facility design
• Allegro (Unravelling Active Mode Traffic and Transportation in Cities) - funded by ERC Advance Grant: Multi-scale Multi-agent Simulation Platform Development, 2016.1- 2021.1.
  • Developed multi-scale simulation platform for slow/active modes
  • Modelled mixed traffic flow at shared space areas
  • Crowd monitoring and simulation

• Served for the organizing committee of TRISTAN-Symposium 2016, 2015.5-2016.6
• Served for TrafficQuest (a Jointly Initiated Centre of Delft University of Technology, Rijkswaterstaat and TNO), 2014.12-2015.8.
  • Wrote annual report for traffic management in the Netherlands
  • Investigation on practical traffic problems (delay problem when the MTM system is failed at surveyed Dutch freeways - TrafficQuest Memo: Uitval spitsstrooksysteem A1)
• Sail Project: Crowd Monitoring and Management for SAIL Event - funded by Municipality of Amsterdam, 2015.5-2015.12.
  • Designed a traffic state estimation and data fusion module for crown management dashboard at large-scale events
  • Evaluated the project regarding data collection and estimation components
• Open-Traffic-Simulator Project for DiTTLab - Delft University of Technology, 2013.5-2015.10.
  • Developing an open-source multi-scale multi-modal traffic simulation platform
  • Performed SCRUM project management and model verification tests
• Dutch Next Generation Infrastructures (NGI) Programme under the Project: Emergency Evacuation and System Resilience, 2013.5-2013.12.
  • Performed agent-based modelling to investigate driving behaviour transition during evacuations
• Praktijkproef Amsterdam (PPA) Project - funded by Dutch Ministry of Transport (Rijkswaterstaat), 2012.6-2013.5.
  • Designed a traffic state estimation module for coordinated traffic network management
  • Performed validation study for the overall PPA products
• C4C Project: Control for Coordination of Distributed Systems - funded by European FP7 (7^th Framework Program), Task 4: Road Traffic Work Package, 2008.10-2011.9.
  • Performed state estimation and data assimilation research for road network control.
  • Supported this work package
• Visiting Scholar at Transportation Research Group (TRG) in University of Southampton (U.K.), COST Exchange Programme, 2011.5-2011.8.
  • Performed a short-term project on Estimation of Multi-class and Multi-lane Traffic Behaviour
• Dynamax In-Car Project - funded by Dutch Ministry of Transport (Rijkswaterstaat), 2012.3-2012.5.
  • Worked on traffic state estimation algorithm for congestion detection using diverse data sources including loop detector data, camera data and probe vehicle data
  • Performed validation study of the proposed algorithm
• National Data Warehouse (CHECK) Project - funded by Dutch Ministry of Transport (Rijkswaterstaat), 2008.10-2009.5.
  • Applied and evaluated a new algorithm for traffic data processing and purification within computational environment.
• Amsterdam Freeway Congestion Control (Fileproef) Project - funded by Dutch Ministry of Transport (Rijkswaterstaat), 2008.1-2009.3.
  • Evaluated a coordination ramp metering control strategy in Amsterdam freeway network based on a microscopic simulation environment
  • Published master thesis entitled “Coordination of Ramp Metering Control in Motorway Networks”

• Internship at PEEK Traffic B.V., 2007.9-2007.12.
  • Performed a simulation study on Urban vs. Inter-urban (Den Bosch, the Netherlands) traffic control scenario management
  • Assessed a mixed urban UTOPIA (Coordinated Traffic Control System) and motorway network in VISSIM
  • Evaluated route choice behaviour under road work condition (A2).
• Additional certificate:
  
  • University Teaching Qualification ‘Basis Kwalificatie Onderwijs’ – Delft University of Technology (2020)