Dr Jiwon Kim

Lecturer

School of Civil Engineering
Faculty of Engineering, Architecture and Information Technology
jiwon.kim@uq.edu.au
+61 7 334 63008

Overview

Jiwon Kim is Lecturer in Transport Engineering in the School of Civil Engineering. She joined UQ in 2014 after completing her PhD research at Northwestern University. Her doctoral work was on the travel time reliability of transportation networks. Prior to joining Northwestern, she worked as an assistant manager at Samsung C&T (Engineering & Construction Group). She received Bachelor’s and Master’s degrees in civil engineering from Korea University.

Dr. Kim’s research is broadly in the area of modeling and analysis of intelligent transport systems (ITS) and human mobility, with an emphasis on the analysis of vehicle trajectories in large-scale traffic networks and predictive analytics for real-time traffic management and operations. Her current research focuses on urban mobility analytics, interdisciplinary research that discovers patterns and insights from massive collections of movement data (e.g., GPS trajectories, public transport smart card data, Bluetooth and WiFi data) using data mining and machine learning algorithms and develops solutions to transport-related challenges in our cities.

Research Interests

  • Urban mobility analytics, Spatio-temporal analysis of trajectory data
    Vehicle trajectories in large-scale networks: data mining, pattern recognition, and visualization; Urban mobility insights and travel behavour
  • Big Data and Artificial Intelligence (AI) applications in transportation
    Data-driven modeling of transport networks; Computer vision (image/video processing, traffic scene recognition, anomaly detection)
  • Predictive analytics for real-time traffic management and operations
    Real-time traffic estimation and prediction for Intelligent Transportation Systems (ITS); Traffic incident management and decision support systems
  • Traffic simulation and Traffic flow theory
    Traffic simulation (microsimulation/mesosimulation); Dynamic traffic assignment (DTA); Scenario generation and analysis

Qualifications

  • Doctor of Philosophy, Northwestern University

Publications

View all Publications

Supervision

  • Master Philosophy

  • Doctor Philosophy

  • Doctor Philosophy

View all Supervision

Available Projects

  • - Big data analytics for intelligent transport

    - Data mining and artificial intelligence (AI) applications in traffic analysis

    - Spatio-temporal analysis of trajectory data in road networks

    - Data-driven approaches to traffic estimation and prediction

    - Decision support systems for real-time traffic management and control

    - Congestion management and avoidance

    - Incident detection and traffic incident management

  • - Characterizing travel time variability patterns (e.g., vehicle-to-vehicle, day-to-day, and within-day variability)

    - Analysis of network uncertainty sources and their impacts on travel time reliability

    - Estimating the probability distribution of route travel times using multi-source data

    - Development and use of travel time reliability performance indicators

    - Analysis of travel time reliability in mixed traffic

  • - Advanced analysis techniques for micro- and meso-scopic traffic simulation models (e.g., model calibration, input parameter sampling, sensitivity analysis, and uncertainty analysis)

    - 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)

View all Available Projects

Publications

Journal Article

Conference Publication

Grants (Administered at UQ)

PhD and MPhil Supervision

Current Supervision

  • Master Philosophy — Principal Advisor

  • Doctor Philosophy — Principal Advisor

    Other advisors:

  • Doctor Philosophy — Principal Advisor

    Other advisors:

  • Doctor Philosophy — Associate Advisor

  • Doctor Philosophy — Associate Advisor

    Other advisors:

  • Doctor Philosophy — Associate Advisor

    Other advisors:

  • Doctor Philosophy — Associate Advisor

Completed Supervision

Possible Research Projects

Note for students: The possible research projects listed on this page may not be comprehensive or up to date. Always feel free to contact the staff for more information, and also with your own research ideas.

  • - Big data analytics for intelligent transport

    - Data mining and artificial intelligence (AI) applications in traffic analysis

    - Spatio-temporal analysis of trajectory data in road networks

    - Data-driven approaches to traffic estimation and prediction

    - Decision support systems for real-time traffic management and control

    - Congestion management and avoidance

    - Incident detection and traffic incident management

  • - Characterizing travel time variability patterns (e.g., vehicle-to-vehicle, day-to-day, and within-day variability)

    - Analysis of network uncertainty sources and their impacts on travel time reliability

    - Estimating the probability distribution of route travel times using multi-source data

    - Development and use of travel time reliability performance indicators

    - Analysis of travel time reliability in mixed traffic

  • - Advanced analysis techniques for micro- and meso-scopic traffic simulation models (e.g., model calibration, input parameter sampling, sensitivity analysis, and uncertainty analysis)

    - 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)

  • - Use of video data (e.g., CCTV) for road traffic management and control

    - 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.