Jiwon Kim is an ARC DECRA Fellow (2019-2022) and Senior 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 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.
Journal Article: Transformer-based map-matching model with limited labeled data using transfer-learning approach
Jin, Zhixiong, Kim, Jiwon, Yeo, Hwasoo and Choi, Seongjin (2022). Transformer-based map-matching model with limited labeled data using transfer-learning approach. Transportation Research Part C: Emerging Technologies, 140 103668, 103668. doi: 10.1016/j.trc.2022.103668
Manirul Islam, Sheikh, Washington, Simon, Kim, Jiwon and Haque, Mazharul (2022). A comprehensive analysis on the effects of signal strategies, intersection geometry, and traffic operation factors on right-turn crashes at signalised intersections: an application of hierarchical crash frequency model. Accident Analysis and Prevention, 171 106663, 106663. doi: 10.1016/j.aap.2022.106663
Journal Article: Joint prediction of next location and travel time from urban vehicle trajectories using long short-term memory neural networks
Sun, Jie and Kim, Jiwon (2021). Joint prediction of next location and travel time from urban vehicle trajectories using long short-term memory neural networks. Transportation Research. Part C: Emerging Technologies, 128 103114, 103114. doi: 10.1016/j.trc.2021.103114
(2022–2023) UQ Amplify Women's Academic Research Equity
Making Spatiotemporal Data More Useful: An Entity Linking Approach
(2020–2022) ARC Discovery Projects
(2020–2021) UQ Amplify Women's Academic Research Equity
(2021) Master Philosophy
Prediction of Traffic Congestion and Incidents on Urban Road Networks Using Deep Learning
Doctor Philosophy
Safety Evaluation on right turn traffic control strategies at signalized intersections using two-level hierarchical models with cross-level interaction
Doctor Philosophy
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).
See the posting at UQ Careers for more details.
If you have any questions, please contact jiwon.kim@uq.edu.au
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
Transformer-based map-matching model with limited labeled data using transfer-learning approach
Jin, Zhixiong, Kim, Jiwon, Yeo, Hwasoo and Choi, Seongjin (2022). Transformer-based map-matching model with limited labeled data using transfer-learning approach. Transportation Research Part C: Emerging Technologies, 140 103668, 103668. doi: 10.1016/j.trc.2022.103668
Manirul Islam, Sheikh, Washington, Simon, Kim, Jiwon and Haque, Mazharul (2022). A comprehensive analysis on the effects of signal strategies, intersection geometry, and traffic operation factors on right-turn crashes at signalised intersections: an application of hierarchical crash frequency model. Accident Analysis and Prevention, 171 106663, 106663. doi: 10.1016/j.aap.2022.106663
Sun, Jie and Kim, Jiwon (2021). Joint prediction of next location and travel time from urban vehicle trajectories using long short-term memory neural networks. Transportation Research. Part C: Emerging Technologies, 128 103114, 103114. doi: 10.1016/j.trc.2021.103114
TrajGAIL: Generating urban vehicle trajectories using generative adversarial imitation learning
Choi, Seongjin, Kim, Jiwon and Yeo, Hwasoo (2021). TrajGAIL: Generating urban vehicle trajectories using generative adversarial imitation learning. Transportation Research Part C: Emerging Technologies, 128 103091. doi: 10.1016/j.trc.2021.103091
Sharma, Anshuman, Zheng, Zuduo, Kim, Jiwon, Bhaskar, Ashish and Mazharul Haque, Md. (2021). Assessing traffic disturbance, efficiency, and safety of the mixed traffic flow of connected vehicles and traditional vehicles by considering human factors. Transportation Research Part C: Emerging Technologies, 124 102934, 1-21. doi: 10.1016/j.trc.2020.102934
Activity-trip based model for friend recommendation with transit smart card records
Faroqi, Hamed, Mesbah, Mahmoud and Kim, Jiwon (2020). Activity-trip based model for friend recommendation with transit smart card records. Journal of Urban Planning and Development, 146 (4) 04020041, 04020041. doi: 10.1061/(asce)up.1943-5444.0000624
Sharma, Anshuman, Zheng, Zuduo, Kim, Jiwon, Bhaskar, Ashish and Haque, Mazharul (2020). Is an informed driver a better decision maker? A grouped random parameters with heterogeneity-in-means approach to investigate the impact of the connected environment on driving behaviour in safety-critical situations. Analytic Methods in Accident Research, 27 100127, 100127. doi: 10.1016/j.amar.2020.100127
Modelling socioeconomic attributes of public transit passengers
Faroqi, Hamed, Mesbah, Mahmoud and Kim, Jiwon (2020). Modelling socioeconomic attributes of public transit passengers. Journal of Geographical Systems, 22 (4), 519-543. doi: 10.1007/s10109-020-00328-0
Deep-learning based urban vehicle trajectory prediction
Choi, Seongjin, Kim, Jiwon, Yu, Hwapyeong, Ka, Dongho and Yeo Hwasoo (2019). Deep-learning based urban vehicle trajectory prediction. Journal of Korean Society of Transportation, 37 (5), 422-429. doi: 10.7470/jkst.2019.37.5.422
Behavioural advertising in the public transit network
Faroqi, Hamed, Mesbah, Mahmoud and Kim, Jiwon (2019). Behavioural advertising in the public transit network. Research in Transportation Business and Management, 32 100421, 100421. doi: 10.1016/j.rtbm.2019.100421
Faroqi, Hamed, Mesbah, Mahmoud and Kim, Jiwon (2019). Comparing sequential with combined spatiotemporal clustering of passenger trips in the public transit network using smart card data. Mathematical Problems in Engineering, 2019 5070794, 1-16. doi: 10.1155/2019/5070794
Chen, Ying, Kim, Jiwon and Mahmassani, Hani S. (2019). Operational Ssenario definition in traffic simulation-based decision support systems: pattern recognition using a clustering algorithm. Journal of Transportation Engineering Part A: Systems, 145 (4), 04019008. doi: 10.1061/JTEPBS.0000222
Estimating and comparing response times in traditional and connected environments
Sharma, Anshuman, Zheng, Zuduo, Kim, Jiwon, Bhaskar, Ashish and Haque, Md. Mazharul (2019). Estimating and comparing response times in traditional and connected environments. Transportation Research Record, 2673 (4), 036119811983796-684. doi: 10.1177/0361198119837964
Duives, Dorine C., Wang, Guangxing and Kim, Jiwon (2019). Forecasting pedestrian movements using recurrent neural networks: an application of crowd monitoring data. Sensors, 19 (2) 382, 382. doi: 10.3390/s19020382
Network-wide vehicle trajectory prediction in urban traffic networks using deep learning
Choi, Seongjin, Yeo, Hwasoo and Kim, Jiwon (2018). Network-wide vehicle trajectory prediction in urban traffic networks using deep learning. Transportation Research Record, 2672 (45), 173-184. doi: 10.1177/0361198118794735
Urban trajectory analytics: day-of-week movement pattern mining using tensor factorization
Naveh, Kianoosh Soltani and Kim, Jiwon (2018). Urban trajectory analytics: day-of-week movement pattern mining using tensor factorization. IEEE Transactions on Intelligent Transportation Systems, 20 (7) 8479365, 2540-2549. doi: 10.1109/TITS.2018.2868122
A model for measuring activity similarity between public transit passengers using smart card data
Faroqi, Hamed, Mesbah, Mahmoud, Kim, Jiwon and Tavassoli, Ahmad (2018). A model for measuring activity similarity between public transit passengers using smart card data. Travel Behaviour and Society, 13, 11-25. doi: 10.1016/j.tbs.2018.05.004
Applications of transit smart cards beyond a fare collection tool: a literature review
Faroqi, H., Mesbah, M. and Kim, J. (2018). Applications of transit smart cards beyond a fare collection tool: a literature review. Advances in Transportation Studies, 45, 107-122. doi: 10.4399/978255166098
Identification of communities in urban mobility networks using multi-layer graphs of network traffic
Yildirimoglu, Mehmet and Kim, Jiwon (2018). Identification of communities in urban mobility networks using multi-layer graphs of network traffic. Transportation Research Part C: Emerging Technologies, 89, 254-267. doi: 10.1016/j.trc.2018.02.015
Time-dependent route scheduling on road networks
Li, Lei, Kim, Jiwon, Xu, Jiajie and Zhou, Xiaofang (2018). Time-dependent route scheduling on road networks. SIGSPATIAL Special, 10 (1), 10-14. doi: 10.1145/3231541.3231545
Kim, Jiwon, Corcoran, Jonathan and Papamanolis, Marty (2017). Route choice stickiness of public transport passengers: measuring habitual bus ridership behaviour using smart card data. Transportation Research. Part C: Emerging Technologies: an international journal, 83, 146-164. doi: 10.1016/j.trc.2017.08.005
Spatial-temporal similarity correlation between public transit passengers using smart card data
Faroqi, Hamed, Mesbah, Mahmoud and Kim, Jiwon (2017). Spatial-temporal similarity correlation between public transit passengers using smart card data. Journal of Advanced Transportation, 2017 1318945, 1-15. doi: 10.1155/2017/1318945
Characterising Green Light Optimal Speed Advisory trajectories for platoon-based optimisation
Stebbins, Simon, Hickman, Mark, Kim, Jiwon and Vu, Hai L. (2017). Characterising Green Light Optimal Speed Advisory trajectories for platoon-based optimisation. Transportation Research Part C: Emerging Technologies, 82, 43-62. doi: 10.1016/j.trc.2017.06.014
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
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
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
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
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
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
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
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
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
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
Route reconstruction using low-quality bluetooth readings
Xu, Yehong, He, Dan, Chao, Pingfu, Kim, Jiwon, Hua, Wen and Zhou, Xiaofang (2020). Route reconstruction using low-quality bluetooth readings. 28th International Conference on Advances in Geographic Information Systems, Online, 3 - 6 November 2020. New York NY, United States: Association for Computing Machinery. doi: 10.1145/3397536.3422224
Faroqi, Hamed, Mesbah, Mahmoud and Kim, Jiwon (2020). Investigating the correlation between activity similarity and trip similarity of public transit passengers using smart card data. World Conference on Transport Research, Mumbai, India, 26-31 May 2019. Amsterdam, Netherlands: Elsevier. doi: 10.1016/j.trpro.2020.08.249
Choi, Seongjin, Kim, Jiwon, Yu, Hwapyeong and Yeo, Hwasoo (2019). Real-time prediction of arterial vehicle trajectories: an application to predictive route guidance for an emergency vehicle. 2019 IEEE Intelligent Transportation Systems Conference (ITSC), Auckland, New Zealand, 27-30 October 2019. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/ITSC.2019.8917122
Attention-based recurrent neural network for urban vehicle trajectory prediction
Choi, Seongjin, Kim, Jiwon and Yeo, Hwasoo (2019). Attention-based recurrent neural network for urban vehicle trajectory prediction. 10th International Conference on Ambient Systems, Networks and Technologies (ANT 2019) / The 2nd International Conference on Emerging Data and Industry 4.0 (EDI40 2019), Leuven, Belgium, 29 April - 2 May, 2019. Amsterdam, Netherlands: Elsevier B.V.. doi: 10.1016/j.procs.2019.04.046
Agent-based simulation modeling of a Bus Rapid Transit (BRT) station using smart card data
Ahn, Sanghyung, Hislop-Lynch, Samuel Richard, Kim, Jiwon and Zhu, Roy (2018). Agent-based simulation modeling of a Bus Rapid Transit (BRT) station using smart card data. 2017 Winter Simulation Conference, WSC 2017, Las Vegas, NV United States, 3-6 December 2017. Piscataway, NJ United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/WSC.2017.8248193
Inferring socioeconomic attributes of public transit passengers using classifiers
Faroqi, Hamed, Mesbah, Mahmoud and Kim, Jiwon (2018). Inferring socioeconomic attributes of public transit passengers using classifiers. ATRF 2018 - Australasian Transport Research Forum 2018, Darwin, NT Australia, 30 October – 1 November 2018. Canberra ACT Australia: ATRF, Commonwealth of Australia.
A large scale neural network model for crash prediction in urban road networks
Wang, Guangxing and Kim, Jiwon (2017). A large scale neural network model for crash prediction in urban road networks. ATRF 2017 - Australasian Transport Research Forum 2017, Auckland, New Zealand, 27 - 29 November 2017. Canberra, ACT Australia: ATRF, Commonwealth of Australia.
Balancing computational requirements with performance in model predictive traffic control
Stebbins, Simon, Hickman, Mark, Kim, Jiwon and Vu, Hai L. (2017). Balancing computational requirements with performance in model predictive traffic control. ATRF 2017 - Australasian Transport Research Forum 2017, Auckland, New Zealand, 27 - 29 November 2017. Canberra ACT Australia: ATRF, Commonwealth of Australia.
Identification of communities in urban mobility networks using multi-layer graphs of network traffic
Yildirimoglu, Mehmet and Kim, Jiwon (2017). Identification of communities in urban mobility networks using multi-layer graphs of network traffic. 20th EURO Working Group on Transportation Meeting, EWGT 2017, Budapest, Hungary, 4-6 September 2017. Elsevier. doi: 10.1016/j.trpro.2017.12.070
Pedestrian tracking framework utilising computer vision for rapid analysis of public spaces
Hislop-Lynch, Samuel R., Ahn, SangHyung and Kim, Jiwon (2017). Pedestrian tracking framework utilising computer vision for rapid analysis of public spaces. ATRF 2017 - Australasian Transport Research Forum 2017, Auckland, New Zealand, 27 - 29 November 2017. Canberra, ACT Australia: ATRF, Commonwealth of Australia.
Spatial variable selection methods for network-wide short-term traffic prediction
Hasan, Md. Mahmud, Kim, Jiwon and Prato, Carlo (2017). Spatial variable selection methods for network-wide short-term traffic prediction. ATRF 2017 - Australasian Transport Research Forum 2017, Auckland, New Zealand, 27 - 29 November 2017. Canberra, ACT Australia: ATRF, Commonwealth of Australia.
Kim, Jiwon, Zheng, Kai, Corcoran, Jonathan, Ahn, Sanghyung and Papmanolis, Marty (2017). Trajectory Flow Map: Graph-based approach to analyse temporal evolution of aggregated traffic flows in large-scale urban networks. Transportation Research Board 96th Annual Meeting, Washington DC United States, December 2016. Washington, DC United States: Transportation Research Board.
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.
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.
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.
Ahn, SangHyung, Kim, Jiwon, Bekti, Antonius, Cheng, Liang-Chuan, Clark, Emma, Robertson, Michelle and Salita, Roland (2016). Real-time information system for spreading rail passengers across train carriages: Agent-based simulation study. ATRF 2016 - Australasian Transport Research Forum 2016, Melbourne, VIC Australia, 16 – 18 November 2016. Canberra, ACT Australia: ATRF, Commonwealth of Australia.
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.
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
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
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.
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
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
Too wet? Too cold? Too hot? This is how weather affects the trips we make
Corcoran, Jonathan, Pojani, Dorina, Rowe, Francisco, Zhou, Jiangping, Kim, Jiwon, Wei, Ming, Tao, Sui, Sigler, Thomas and Liu, Yan (2018, 04 09). Too wet? Too cold? Too hot? This is how weather affects the trips we make
(2022–2023) UQ Amplify Women's Academic Research Equity
Making Spatiotemporal Data More Useful: An Entity Linking Approach
(2020–2022) ARC Discovery Projects
(2020–2021) UQ Amplify Women's Academic Research Equity
Data-driven Simulation of Large Traffic Networks using Trajectory Data
(2019–2023) ARC Discovery Early Career Researcher Award
Real-time Analytics on Urban Trajectory Data for Road Traffic Management
(2019–2023) ARC Linkage Projects
An Integrated Demographic and Transport Demand Modelling Framework (ID-TDM)
(2019–2022) iMove Cooperative Research Centre
Urban mobility analytics-based crash risk prediction for real-time traffic incident management
(2018–2019) UQ Early Career Researcher
Prediction of Traffic Congestion and Incidents on Urban Road Networks Using Deep Learning
Doctor Philosophy — Principal Advisor
Other advisors:
Safety Evaluation on right turn traffic control strategies at signalized intersections using two-level hierarchical models with cross-level interaction
Doctor Philosophy — Principal Advisor
Graph-based Learning Platform for Real-time Traffic Incident Prediction and Management
Doctor Philosophy — Principal Advisor
Other advisors:
Data-driven Modelling of Urban Traffic Networks using Spatial Trajectory Data
Doctor Philosophy — Principal Advisor
Other advisors:
Capture, Processing and Analysis of Vehicle Trajectories from Multiple Unmanned-Aerial-Vehicles with Computer-Vision and Artificial-Intelligence
Doctor Philosophy — Associate Advisor
Other advisors:
Real-time Analytics on Urban Trajectory Data for Road Traffic Management
Doctor Philosophy — Associate Advisor
Other advisors:
Real-time Analytics on Urban Trajectory Data for Road Traffic Management
Doctor Philosophy — Associate Advisor
Other advisors:
Operation Strategy of Shared Autonomous Vehicles with Various Passenger Capacity on the Basis of Ridesharing
Doctor Philosophy — Associate Advisor
Other advisors:
Behavioural econometrics applies to transport
Doctor Philosophy — Associate Advisor
Other advisors:
Visualisation of passenger and freight transport flows
Master Philosophy — Associate Advisor
Other advisors:
(2021) Master Philosophy — Principal Advisor
Other advisors:
(2020) Master Philosophy — Principal Advisor
Other advisors:
(2020) Doctor Philosophy — Principal Advisor
Other advisors:
Developing a Model for Targeted Transit Advertising using Smart Card Data
(2020) Doctor Philosophy — Associate Advisor
Understanding and Modelling the Car-Following Behaviour of Connected Vehicles
(2019) Doctor Philosophy — Associate Advisor
Other advisors:
Computer vision based pedestrian trajectory analysis
(2018) Master Philosophy — Associate Advisor
Other advisors:
(2018) Doctor Philosophy — Associate Advisor
Other advisors:
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.
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).
See the posting at UQ Careers for more details.
If you have any questions, please contact jiwon.kim@uq.edu.au
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.