Associate Professor Jiwon Kim
Associate Professor

Jiwon Kim

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+61 7 334 63008

Background

Jiwon Kim is an Associate Professor in Transport Engineering and the Director of Higher Degree by Research in the School of Civil Engineering at the University of Queensland. She was a DECRA Fellow (2019-2022) sponsored by the Australian Research Council. She joined UQ in 2014 after completing her PhD research at Northwestern University. Prior to joining Northwestern, she worked at Samsung C&T (Engineering & Construction Group). She received Bachelor’s and Master’s degrees in civil engineering from Korea University.

Her research interests broadly encompass the application of Artificial Intelligence and Machine Learning (AI/ML) to enhance prediction, automation, and insight generation in transportation and urban mobility. She is passionate about developing intelligent autonomous systems that facilitate real-time traffic management and control, mobility service optimization, and traveller support. Her current research explores the potential of deep learning, reinforcement learning, and other cutting-edge AI/ML approaches to achieve these objectives.

Availability

Associate Professor Jiwon Kim is:
Available for supervision

Fields of research

Built Environment and Design Civil engineering Engineering Information and Computing Sciences Transport engineering Urban and regional planning

Qualifications

  • Doctor of Philosophy, Northwestern University

Research interests

  • Machine Learning and Artificial Intelligence (AI) applications in transport and logistics

    Data-driven modelling of traffic networks and mobility services; Data-driven traffic simulation; AI and multi-agent systems (reinforcement learning, imitation learning)

  • Predictive analytics for real-time traffic management and operations

    Real-time traffic estimation and prediction for Intelligent Transportation Systems (ITS); Traffic incident management; Decision support systems and automation

  • Urban Trajectory Data Analytics

    Urban vehicle trajectories in large-scale networks: data mining, pattern recognition, trajectory prediction and generation, and visualization; urban mobility insights and travel behavour

  • Traffic simulation and Traffic flow theory

    Traffic simulation (microsimulation/mesosimulation); Dynamic traffic assignment (DTA); Scenario generation and analysis

Search Professor Jiwon Kim’s works on UQ eSpace

112 works between 2010 and 2024
All (112) Journal Article (45) Conference Publication (66) Other Outputs (1)

101 - 112 of 112 works

2014

Conference Publication

Compound gamma representation for modeling vehicle-to-vehicle and day-to-day travel time variability in a traffic network

Kim, Jiwon and Mahmassani, Hani S. (2014). Compound gamma representation for modeling vehicle-to-vehicle and day-to-day travel time variability in a traffic network. Transportation Research Board Annual Meeting, Washington, DC, United States, 12-16 January 2014.

Compound gamma representation for modeling vehicle-to-vehicle and day-to-day travel time variability in a traffic network

2013

Journal Article

Implementation and evaluation of weather-responsive traffic management strategies

Kim, Jiwon, Mahmassani, Hani S., Alfelor, Roemer, Chen, Ying, Hou, Tian, Jiang, Lan, Saberi, Meead, Verbas, Oemer and Zockaie, Ali (2013). Implementation and evaluation of weather-responsive traffic management strategies. Transportation Research Record, 2396 (2396), 93-106. doi: 10.3141/2396-11

Implementation and evaluation of weather-responsive traffic management strategies

2013

Journal Article

Calibration of traffic flow models under adverse weather and application in mesoscopic network simulation

Hou, Tian, Mahmassani, Hani S., Alfelor, Roemer M., Kim, Jiwon and Saberi, Meead (2013). Calibration of traffic flow models under adverse weather and application in mesoscopic network simulation. Transportation Research Record, 2391 (2391), 92-104. doi: 10.3141/2391-09

Calibration of traffic flow models under adverse weather and application in mesoscopic network simulation

2013

Conference Publication

Toward capturing sources of travel time unreliability in microscopic traffic models: driver heterogeneity, flow breakdown, and crash occurrence

Talebpour, Alireza, Mahmassani, Hani S. and Kim, Jiwon (2013). Toward capturing sources of travel time unreliability in microscopic traffic models: driver heterogeneity, flow breakdown, and crash occurrence. Transportation Research Board Annual Meeting, Washington, DC USA, 13-17 January 2013.

Toward capturing sources of travel time unreliability in microscopic traffic models: driver heterogeneity, flow breakdown, and crash occurrence

2013

Journal Article

Scenario-based approach to analysis of travel time reliability with traffic simulation models

Kim, Jiwon, Mahmassani, Hani S., Vovsha, Peter, Stogios, Yannis and Dong, Jing (2013). Scenario-based approach to analysis of travel time reliability with traffic simulation models. Transportation Research Record: Journal of the Transportation Research Board, 2391 (1), 56-68. doi: 10.3141/2391-06

Scenario-based approach to analysis of travel time reliability with traffic simulation models

2013

Conference Publication

Scenario-based approach to analysis of travel time reliability with traffic simulation models

Kim, Jiwon, Mahmassani, Hani, Vovsha, Peter, Stogios, Yannis and Dong, Jing (2013). Scenario-based approach to analysis of travel time reliability with traffic simulation models. Transportation Research Board Annual Meeting, Washington, DC, United States, 13-17 January 2013.

Scenario-based approach to analysis of travel time reliability with traffic simulation models

2013

Conference Publication

Calibration of Traffic Flow Models Under Adverse Weather and Application in Mesoscopic Network Simulation

Hou, Tian , Mahmassani, Hani , Alfelor, Roemer , Kim, Jiwon and Saberi, Meead (2013). Calibration of Traffic Flow Models Under Adverse Weather and Application in Mesoscopic Network Simulation. Transportation Research Board Annual Meeting, Washington, DC, United States, 13-17 January 2013.

Calibration of Traffic Flow Models Under Adverse Weather and Application in Mesoscopic Network Simulation

2013

Conference Publication

Implementation and evaluation of weather-responsive traffic management strategies: insight from different networks

Kim, Jiwon, Mahmassani, Hani, Alfelor, Roemer, Chen, Ying, Hou, Tian, Jiang, Lan, Saberi, Meead, Verbas, Ömer and Zockaie, Ali (2013). Implementation and evaluation of weather-responsive traffic management strategies: insight from different networks. Transportation Research Board Annual Meeting, Washington, DC, United States, 13-17 January 2013.

Implementation and evaluation of weather-responsive traffic management strategies: insight from different networks

2011

Journal Article

Correlated parameters in driving behavior models: car-following example and implications for traffic microsimulation

Kim, Jiwon and Mahmassani, Hani S. (2011). Correlated parameters in driving behavior models: car-following example and implications for traffic microsimulation. Transportation Research Record, 2249 (1), 62-77. doi: 10.3141/2249-09

Correlated parameters in driving behavior models: car-following example and implications for traffic microsimulation

2011

Conference Publication

Correlated Parameters in Driving Behavior Models: Car-Following Example and Implications for Traffic Microsimulation

Kim, Jiwon and Mahmassani, Hani S. (2011). Correlated Parameters in Driving Behavior Models: Car-Following Example and Implications for Traffic Microsimulation. Transportation Research Board Annual Meeting, Washington, DC, United States, 23-27 January 2011.

Correlated Parameters in Driving Behavior Models: Car-Following Example and Implications for Traffic Microsimulation

2010

Journal Article

Likelihood and duration of flow breakdown: modeling the effect of weather

Kim, Jiwon, Mahmassani, Hani S. and Dong, Jing (2010). Likelihood and duration of flow breakdown: modeling the effect of weather. Transportation Research Record, 2188 (2188), 19-28. doi: 10.3141/2188-03

Likelihood and duration of flow breakdown: modeling the effect of weather

2010

Conference Publication

Likelihood and Duration of Flow Breakdown: Modeling the Effect of Weather

Kim, Jiwon , Mahmassani, Hani S. and Dong, Jing (2010). Likelihood and Duration of Flow Breakdown: Modeling the Effect of Weather. Transportation Research Board Annual Meeting, Washington, DC, United States, 10-14 January 2010.

Likelihood and Duration of Flow Breakdown: Modeling the Effect of Weather

Current funding

  • 2024 - 2028
    Safe and efficient eco-driving using connected and automated vehicles
    ARC Discovery Projects
    Open grant
  • 2020 - 2025
    Making Spatiotemporal Data More Useful: An Entity Linking Approach
    ARC Discovery Projects
    Open grant

Past funding

  • 2022 - 2024
    Framework and Conceptual Solution for Integrating Road Network Operations Planning into Real-time Traffic Management
    iMove Cooperative Research Centre
    Open grant
  • 2022 - 2023
    UQ AWARE - Jiwon Kim
    UQ Amplify Women's Academic Research Equity
    Open grant
  • 2020 - 2021
    UQ AWARE - Dr Jiwon KIM
    UQ Amplify Women's Academic Research Equity
    Open grant
  • 2019 - 2024
    Real-time Analytics on Urban Trajectory Data for Road Traffic Management
    ARC Linkage Projects
    Open grant
  • 2019 - 2022
    An Integrated Demographic and Transport Demand Modelling Framework (ID-TDM)
    iMove Cooperative Research Centre
    Open grant
  • 2019 - 2023
    Data-driven Simulation of Large Traffic Networks using Trajectory Data
    ARC Discovery Early Career Researcher Award
    Open grant
  • 2018 - 2019
    Urban mobility analytics-based crash risk prediction for real-time traffic incident management
    UQ Early Career Researcher
    Open grant

Availability

Associate Professor Jiwon Kim is:
Available for supervision

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Available projects

  • We are currently hiring a research assistant / software developer.

    This Advanced Research Assistant will work as a part of Dr Jiwon Kim's research team to provide a technical support for developing and maintaining open-source software that is designed to analyse large-scale urban mobility data, specifically spatio-temporal trajectory data of vehicles and people travelling around a city (e.g., trajectories from GPS, Bluetooth, cellphones, and transit smart cards).

    Please contact jiwon.kim@uq.edu.au for more information.

  • Intelligent Transport Systems (ITS)

    - Big data analytics and artificial intelligence (AI) applications

    - Real-time traffic management and control

    - Spatio-temporal analysis of trajectory data in road networks

    - Data-driven approaches to traffic estimation and prediction

    - Congestion management and avoidance

    - Incident detection and traffic incident management

  • AI and Machine Learning for Urban Mobility

    - Learning human mobility behaviours from large-scale movement data

    - Imitation learning for human behaviour modelling in traffic networks

    - Multi-agent reinforcement learning for network traffic managmenet

  • Traffic flow theory and simulation

    - Advanced analysis techniques for micro- and meso-scopic traffic simulation models

    - Analysis of traffic flow breakdown phenomena

    - Modeling driver behavior and traffic flow characteristics under a connected and/or autonomous vehicle environment (e.g., V2V, V2I, and self-driving car)

    - Analysis of traffic flow variables using new sources of data (e.g., GPS devices, RFID tags, radar, and video)

  • Other topics

    - Use of video data (e.g., CCTV, drones) for traffic data collection and analysis

    - Resilient transport systems; vulnerability and risk assessment of road networks related to extreme weather events

    Dr. Kim is also happy to consider other topics related to transport planning and operations, traffic modeling and analysis, and urban traffic management.

Supervision history

Current supervision

  • Doctor Philosophy

    Model interpretation and data-centric modeling for advanced traffic prediction (MINDMAP)

    Principal Advisor

    Other advisors: Dr SangHyung Ahn, Dr Mehmet Yildirimoglu

  • Master Philosophy

    Synthetic Travel Demand Generation using Data-Driven Methods

    Principal Advisor

    Other advisors: Honorary Professor Carlo Prato, Professor Zuduo Zheng

  • Doctor Philosophy

    Hybrid Deep Learning Platform for Real-time Traffic Incident Prediction and Management

    Principal Advisor

    Other advisors: Professor Mark Hickman

  • Doctor Philosophy

    Data-driven Modelling of Urban Traffic Networks using Spatial Trajectory Data

    Principal Advisor

    Other advisors: Dr SangHyung Ahn

  • Doctor Philosophy

    Zonal inference in congestion modelling

    Principal Advisor

    Other advisors: Honorary Professor Carlo Prato, Professor Zuduo Zheng

  • Doctor Philosophy

    Model interpretation and data-centric modelling for advanced traffic prediction

    Principal Advisor

  • Doctor Philosophy

    Graph-based Learning Platform for Real-time Traffic Incident Prediction and Management

    Principal Advisor

    Other advisors: Professor Mark Hickman

  • Master Philosophy

    Deep Representation Learning of Spatio-Temporal Trajectory Data

    Principal Advisor

    Other advisors: Professor Mark Hickman

  • Doctor Philosophy

    Interpretable Adversarial Inverse Reinforcement Learning for Driving Behaviour Learning

    Principal Advisor

    Other advisors: Dr SangHyung Ahn

  • Doctor Philosophy

    Modelling Driving Behaviour of Mixed Autonomous and Human-Driven Vehicles Flow

    Associate Advisor

    Other advisors: Professor Zuduo Zheng

  • Master Philosophy

    Visualisation of passenger and freight transport flows

    Associate Advisor

    Other advisors: Professor Mark Hickman

  • Doctor Philosophy

    An investigation on the allocation of fast-charging stations considering renewable energy sources

    Associate Advisor

    Other advisors: Dr Mehmet Yildirimoglu

  • Doctor Philosophy

    Real-time Analytics on Urban Trajectory Data for Road Traffic Management

    Associate Advisor

    Other advisors: Dr Miao Xu

  • Doctor Philosophy

    Queue Length Estimation and Prediction at Isolated Signalized Intersections

    Associate Advisor

    Other advisors: Dr Mehmet Yildirimoglu

  • Doctor Philosophy

    Operation Strategy of Shared Autonomous Vehicles with Various Passenger Capacity on the Basis of Ridesharing

    Associate Advisor

    Other advisors: Professor Zuduo Zheng

  • Doctor Philosophy

    Operation Strategy of Shared Autonomous Vehicles with Various Passenger Capacity on the Basis of Ridesharing

    Associate Advisor

    Other advisors: Professor Zuduo Zheng

  • Doctor Philosophy

    Real-time Analytics on Urban Trajectory Data for Road Traffic Management

    Associate Advisor

    Other advisors: Dr Mehmet Yildirimoglu

  • Doctor Philosophy

    Autonomous Eco-driving in the Vicinity of Signalized Intersection Using Deep Reinforcement Learning

    Associate Advisor

    Other advisors: Professor Zuduo Zheng

  • Doctor Philosophy

    Methods for Public Transport Operations Planning and Management

    Associate Advisor

    Other advisors: Professor Mark Hickman

Completed supervision

Enquiries

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