Associate Professor Jiwon Kim
Associate Professor

Jiwon Kim

Email: 
Phone: 
+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)

81 - 100 of 112 works

2016

Conference Publication

Characterizing green light optimal speed advisory trajectories for platoon-based optimization

Stebbins, Simon, Kim, Jiwon, Hickman, Mark and Vu, Hai (2016). Characterizing green light optimal speed advisory trajectories for platoon-based optimization. Transportation Research Board Annual Meeting, Washington, DC, United States, 10-14 January 2016.

Characterizing green light optimal speed advisory trajectories for platoon-based optimization

2016

Conference Publication

Graph-based analysis of city-wide traffic dynamics using time-evolving graphs of trajectory data

Kim, Jiwon, Zheng, Kai, Ahn, Sanghyung, Papamanolis, Marty and Chao, Pingfu (2016). Graph-based analysis of city-wide traffic dynamics using time-evolving graphs of trajectory data. ATRF 2016 - Australasian Transport Research Forum 2016, Melbourne, VIC Australia, 16 – 18 November 2016. Canberra, ACT Australia: ATRF, Commonwealth of Australia.

Graph-based analysis of city-wide traffic dynamics using time-evolving graphs of trajectory data

2016

Conference Publication

Network-wide time-dependent link travel time distributions with temporal and spatial correlations

Zockaie, Ali, Mahmassani, Hani S. and Kim, Jiwon (2016). Network-wide time-dependent link travel time distributions with temporal and spatial correlations. Transportation Research Board Annual Meeting, Washington, DC, United States, 10-14 January 2016.

Network-wide time-dependent link travel time distributions with temporal and spatial correlations

2016

Conference Publication

Combining model predictive intersection control with green light optimal speed advisory in a connected vehicle environment

Stebbins, Simon, Kim, Jiwon, Hickman, Mark and Vu, Hai L. (2016). Combining model predictive intersection control with green light optimal speed advisory in a connected vehicle environment. ATRF 2016 - Australasian Transport Research Forum 2016, Melbourne, VIC Australia, 16 – 18 November 2016. Canberra, ACT Australia: ATRF, Commonwealth of Australia.

Combining model predictive intersection control with green light optimal speed advisory in a connected vehicle environment

2016

Journal Article

Diagnosis and prediction of traffic congestion on urban road networks using Bayesian networks

Kim, Jiwon and Wang, Guangxing (2016). Diagnosis and prediction of traffic congestion on urban road networks using Bayesian networks. Transportation Research Record, 2595 (1), 108-118. doi: 10.3141/2595-12

Diagnosis and prediction of traffic congestion on urban road networks using Bayesian networks

2016

Conference Publication

Analysing functional connectivity and causal dependence in road traffic networks with Granger causality

Mahmud Hasan, Md and Kim, Jiwon (2016). Analysing functional connectivity and causal dependence in road traffic networks with Granger causality. ATRF 2016 - Australasian Transport Research Forum 2016, Melbourne, VIC Australia, 16 – 18 November 2016. Canberra, ACT Australia: ATRF, Commonwealth of Australia.

Analysing functional connectivity and causal dependence in road traffic networks with Granger causality

2016

Conference Publication

The prediction of traffic congestion and incident on urban road networks using Naive Bayes classifier

Wang, Guangxing and Kim, Jiwon (2016). The prediction of traffic congestion and incident on urban road networks using Naive Bayes classifier. ATRF 2016 - Australasian Transport Research Forum 2016, Melbourne, VIC Australia, 16 – 18 November 2016. Canberra, ACT Australia: ATRF, Commonwealth of Australia.

The prediction of traffic congestion and incident on urban road networks using Naive Bayes classifier

2015

Journal Article

Compound Gamma representation for modeling travel time variability in a traffic network

Kim, Jiwon and Mahmassani, Hani S. (2015). Compound Gamma representation for modeling travel time variability in a traffic network. Transportation Research Part B: Methodological, 80, 40-63. doi: 10.1016/j.trb.2015.06.011

Compound Gamma representation for modeling travel time variability in a traffic network

2015

Conference Publication

Trajectory clustering for discovering spatial traffic flow patterns in road networks

Kim, Jiwon and Mahmassani, Hani S. (2015). Trajectory clustering for discovering spatial traffic flow patterns in road networks. Transportation Research Board Annual Meeting, Washington, DC USA, 11-15 January 2015.

Trajectory clustering for discovering spatial traffic flow patterns in road networks

2015

Conference Publication

Spatial and temporal characterization of travel patterns in a traffic network using vehicle trajectories

Kim, Jiwon and Mahmassani, Hani S. (2015). Spatial and temporal characterization of travel patterns in a traffic network using vehicle trajectories. International Symposium on Transportation and Traffic Theory, Kobe, Japan, 5-7 August 2015. Amsterdam, Netherlands: Elsevier. doi: 10.1016/j.trpro.2015.07.010

Spatial and temporal characterization of travel patterns in a traffic network using vehicle trajectories

2015

Conference Publication

On-line implementation and evaluation of weather responsive coordinated signal timing operations

Chen, Ying, Mahmassani, Hani S., Hong, Zihan, Hou, Tian, Kim, Jiwon, Halat, Hooram and Alfelor, Roemer (2015). On-line implementation and evaluation of weather responsive coordinated signal timing operations. Transportation Research Board Annual Meeting, Washington, DC, United States, 11-15 January 2015.

On-line implementation and evaluation of weather responsive coordinated signal timing operations

2015

Conference Publication

Characterizing travel time distributions in earthmoving operations using GPS data

Ahn, Sanghyung, Kim, Jiwon, Dunston, Phillip S., Kandil, Amr and Martinez, Julio C. (2015). Characterizing travel time distributions in earthmoving operations using GPS data. 2015 International Workshop on Computing in Civil Engineering, Austin, TX, United States, 21-23 June 2015. Reston, VA, United States: American Society of Civil Engineers. doi: 10.1061/9780784479247.036

Characterizing travel time distributions in earthmoving operations using GPS data

2015

Journal Article

Spatial and temporal characterization of travel patterns in a traffic network using vehicle trajectories

Kim, Jiwon and Mahmassani, Hani S. (2015). Spatial and temporal characterization of travel patterns in a traffic network using vehicle trajectories. Transportation Research Part C: Emerging Technologies, 59, 375-390. doi: 10.1016/j.trc.2015.07.010

Spatial and temporal characterization of travel patterns in a traffic network using vehicle trajectories

2014

Journal Article

How many runs? Analytical method for optimal scenario sampling to estimate travel time variance in traffic networks

Kim, Jiwon and Mahmassani, Hani S. (2014). How many runs? Analytical method for optimal scenario sampling to estimate travel time variance in traffic networks. Transportation Research Record: Journal of the Transportation Research Board, 2467 (1), 49-61. doi: 10.3141/2467-06

How many runs? Analytical method for optimal scenario sampling to estimate travel time variance in traffic networks

2014

Journal Article

A finite mixture model of vehicle-to-vehicle and day-to-day variability of traffic network travel times

Kim, Jiwon and Mahmassani, Hani S. (2014). A finite mixture model of vehicle-to-vehicle and day-to-day variability of traffic network travel times. Transportation Research Part C: Emerging Technologies, 46, 83-97. doi: 10.1016/j.trc.2014.05.011

A finite mixture model of vehicle-to-vehicle and day-to-day variability of traffic network travel times

2014

Conference Publication

Development of real-time simulation-based decision support system for weather responsive traffic signal operations

Kim, Jiwon, Mahmassani, Hani S., Hou, Tian and Alfelor, Roemer M. (2014). Development of real-time simulation-based decision support system for weather responsive traffic signal operations. 2014 17th IEEE International Conference on Intelligent Transportation Systems, ITSC 2014, Qingdao, China, 8-11 October 2014. Piscataway, NJ, United States: IEEE. doi: 10.1109/ITSC.2014.6957789

Development of real-time simulation-based decision support system for weather responsive traffic signal operations

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 93rd Annual Meeting, Washington, DC, United States, 12-16 January 2014. Washington, DC, United States: Transportation Research Board.

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

2014

Conference Publication

A finite mixture model of vehicle-to-vehicle and day-to-day variability of traffic network travel times

Kim, Jiwon and Mahmassani, Hani S. (2014). A finite mixture model of vehicle-to-vehicle and day-to-day variability of traffic network travel times. Transportation Research Board Annual Meeting, Washington, DC, United States, 12-16 January 2014.

A finite mixture model of vehicle-to-vehicle and day-to-day variability of traffic network travel times

2014

Conference Publication

Pattern recognition using clustering algorithm for scenario definition in traffic simulation-based decision support systems

Chen, Ying, Kim, Jiwon and Mahmassani, Hani S. (2014). Pattern recognition using clustering algorithm for scenario definition in traffic simulation-based decision support systems. 2014 17th IEEE International Conference on Intelligent Transportation Systems, ITSC 2014, Qingdao, China, 8-11 October 2014. Piscataway, NJ, United States: IEEE. doi: 10.1109/ITSC.2014.6957787

Pattern recognition using clustering algorithm for scenario definition in traffic simulation-based decision support systems

2014

Conference Publication

How many runs? Analytical method for optimal scenario sampling to estimate the variance of travel time distributions in vehicular traffic networks

Kim, Jiwon and Mahmassani, Hani (2014). How many runs? Analytical method for optimal scenario sampling to estimate the variance of travel time distributions in vehicular traffic networks. Transportation Research Board Annual Meeting, Washington, DC, United States, 12-16 January 2014.

How many runs? Analytical method for optimal scenario sampling to estimate the variance of travel time distributions in vehicular traffic networks

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

Before you email them, read our advice on how to contact a supervisor.

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

    Interpretable Adversarial Inverse Reinforcement Learning for Driving Behaviour Learning

    Principal Advisor

    Other advisors: Dr SangHyung Ahn

  • Doctor Philosophy

    Model interpretation and data-centric modelling for advanced traffic prediction

    Principal Advisor

  • Doctor Philosophy

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

    Principal Advisor

    Other advisors: Dr SangHyung Ahn

  • Doctor Philosophy

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

    Principal Advisor

    Other advisors: Dr SangHyung Ahn, Dr Mehmet Yildirimoglu

  • 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

    Zonal inference in congestion modelling

    Principal Advisor

    Other advisors: Honorary Professor Carlo Prato, Professor Zuduo Zheng

  • 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

    Queue Length Estimation and Prediction at Isolated Signalized Intersections

    Associate Advisor

    Other advisors: Dr Mehmet Yildirimoglu

  • Doctor Philosophy

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

    Associate Advisor

    Other advisors: Professor Zuduo Zheng

  • Doctor Philosophy

    Methods for Public Transport Operations Planning and Management

    Associate Advisor

    Other advisors: Professor Mark Hickman

  • Doctor Philosophy

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

    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

    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

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

    Associate Advisor

    Other advisors: Dr Miao Xu

  • Doctor Philosophy

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

    Associate Advisor

    Other advisors: Dr Mehmet Yildirimoglu

  • Master Philosophy

    Visualisation of passenger and freight transport flows

    Associate Advisor

    Other advisors: Professor Mark Hickman

Completed supervision

Enquiries

For media enquiries about Associate Professor Jiwon Kim's areas of expertise, story ideas and help finding experts, contact our Media team:

communications@uq.edu.au