Jiwon Kim is a Senior Lecturer in Transport Engineering in the School of Civil Engineering at the University of Queensland and a former 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.
Dr. Kim's 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.
Journal Article: MSGNN: A Multi-structured Graph Neural Network model for real-time incident prediction in large traffic networks
Tran, Thanh, He, Dan, Kim, Jiwon and Hickman, Mark (2023). MSGNN: A Multi-structured Graph Neural Network model for real-time incident prediction in large traffic networks. Transportation Research Part C: Emerging Technologies, 156 104354, 104354. doi: 10.1016/j.trc.2023.104354
Journal Article: A hierarchical multinomial logit model to examine the effects of signal strategies on right-turn crash injury severity at signalised intersections
Islam, Sheikh Manirul, Washington, Simon, Kim, Jiwon and Haque, Md Mazharul (2023). A hierarchical multinomial logit model to examine the effects of signal strategies on right-turn crash injury severity at signalised intersections. Accident Analysis and Prevention, 188 107091, 1-14. doi: 10.1016/j.aap.2023.107091
Conference Publication: Map-matching on Wireless Traffic Sensor Data with a Sequence-to-Sequence Model
Zhu, Zichun, He, Dan, Hua, Wen, Kim, Jiwon and Shi, Hua (2023). Map-matching on Wireless Traffic Sensor Data with a Sequence-to-Sequence Model. IEEE. doi: 10.1109/mdm58254.2023.00048
(2022–2023) iMove Cooperative Research Centre
(2022–2023) UQ Amplify Women's Academic Research Equity
Making Spatiotemporal Data More Useful: An Entity Linking Approach
(2020–2024) ARC Discovery Projects
Safety Evaluation on Right-turn Traffic Control Strategies at Signalised Intersection using Hierarchical Models
Doctor Philosophy
Graph-based Learning Platform for Real-time Traffic Incident Prediction and Management
Doctor Philosophy
Solid-phase temperature analysis and correction for multi-scale fire experimentation
(2023) 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).
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
Tran, Thanh, He, Dan, Kim, Jiwon and Hickman, Mark (2023). MSGNN: A Multi-structured Graph Neural Network model for real-time incident prediction in large traffic networks. Transportation Research Part C: Emerging Technologies, 156 104354, 104354. doi: 10.1016/j.trc.2023.104354
Islam, Sheikh Manirul, Washington, Simon, Kim, Jiwon and Haque, Md Mazharul (2023). A hierarchical multinomial logit model to examine the effects of signal strategies on right-turn crash injury severity at signalised intersections. Accident Analysis and Prevention, 188 107091, 1-14. doi: 10.1016/j.aap.2023.107091
Islam, Sheikh Manirul, Washington, Simon, Kim, Jiwon and Haque, Md. Mazharul (2023). A Hierarchical Multinomial Logit model to examine the effects of signal strategies on right-turn crash risks by crash movement configuration. Accident Analysis and Prevention, 184 106993, 106993. doi: 10.1016/j.aap.2023.106993
Autonomous anomaly detection on traffic flow time series with reinforcement learning
He, Dan, Kim, Jiwon, Shi, Hua and Ruan, Boyu (2023). Autonomous anomaly detection on traffic flow time series with reinforcement learning. Transportation Research Part C: Emerging Technologies, 150 104089, 1-21. doi: 10.1016/j.trc.2023.104089
Zhong, Miner, Kim, Jiwon and Zheng, Zuduo (2023). Estimating link flows in road networks with synthetic trajectory data generation: inverse reinforcement learning approach. IEEE Open Journal of Intelligent Transportation Systems, 4, 14-29. doi: 10.1109/ojits.2022.3233904
An efficient algorithm for maximum trajectory coverage query with approximation guarantee
He, Dan, Zhou, Thomas, Zhou, Xiaofang and Kim, Jiwon (2022). An efficient algorithm for maximum trajectory coverage query with approximation guarantee. IEEE Transactions on Intelligent Transportation Systems, PP (99), 1-13. doi: 10.1109/tits.2022.3207499
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
Targeted advertising in the public transit network using smart card data
Faroqi, Hamed, Mesbah, Mahmoud, Kim, Jiwon and Khodaii, Ali (2022). Targeted advertising in the public transit network using smart card data. Networks and Spatial Economics, 22 (1), 97-124. doi: 10.1007/s11067-022-09558-9
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, 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
Map-matching on Wireless Traffic Sensor Data with a Sequence-to-Sequence Model
Zhu, Zichun, He, Dan, Hua, Wen, Kim, Jiwon and Shi, Hua (2023). Map-matching on Wireless Traffic Sensor Data with a Sequence-to-Sequence Model. IEEE. doi: 10.1109/mdm58254.2023.00048
Yang, Zhiwei, Zheng, Zuduo, Kim, Jiwon and Rakha, Hesham (2023). An autonomous eco-driving strategy for mixed traffic in the vicinity of signalized intersection using deep reinforcement learning. Transportation Research Board Annual Meeting, Washington, DC USA, 8-12 January 2023.
Automatic traffic flow anomaly detection with reinforcement learning
He, Dan, Kim, Jiwon, Ruan, Boyu and Shi, Hua (2023). Automatic traffic flow anomaly detection with reinforcement learning. Transportation Research Board Annual Meeting, Washington, DC USA, 8-12 January 2023.
Interpretable data-driven car-following modelling with adversarial inverse reinforcement learning
Lin, Lin, Kim, Jiwon, Sun, Jie and Ahn, Sanghyung (2023). Interpretable data-driven car-following modelling with adversarial inverse reinforcement learning. Transportation Research Board Annual Meeting, Washington, DC, United States, 8-12 January 2023.
Tran, Thanh, He, Dan, Kim, Jiwon and Hickman, Mark (2023). MSGNN: a multi-structured graph neural network model for real-time incident prediction in large traffic networks. Transportation Research Board Annual Meeting, Washington, DC, United States, 8-12 January 2023.
Multivariate time-varying Kalman filter approach for cycle-based maximum queue length estimation
Abewickrema, Wanuji, Yildirimoglu, Mehmet and Kim, Jiwon (2023). Multivariate time-varying Kalman filter approach for cycle-based maximum queue length estimation. Transportation Research Board Annual Meeting, Washington, DC United States, 8-12 January.
A cooperative eco-driving system for mixed traffic on urban roads
Yang, Zhiwei, Zheng, Zuduo, Kim, Jiwon and Rakha, Hesham (2022). A cooperative eco-driving system for mixed traffic on urban roads. Australasian Transport Research Forum, Adelaide, 28-30 September 2022.
Online traffic incident prediction with hybrid graph-based neural network and continual learning
Tran, Thanh, He, Dan, Kim, Jiwon and Hickman, Mark (2022). Online traffic incident prediction with hybrid graph-based neural network and continual learning. Australasian Transport Research Forum, Adelaide, SA Australia, 28-30 September 2022.
Threshold-free anomaly detection on traffic flow data with reinforcement learning
He, Dan, Ruan, Boyu, Kim, Jiwon and Shi, Hua (2022). Threshold-free anomaly detection on traffic flow data with reinforcement learning. Australasian Transport Research Forum, Adelaide, SA Australia, 28-30 September 2022.
Multivariate time-varying Kalman filter approach for cycle-based maximum queue length estimation
Abewickrema, Wanuji, Yildirimoglu, Mehmet and Kim, Jiwon (2022). Multivariate time-varying Kalman filter approach for cycle-based maximum queue length estimation. Australasian Transport Research Forum, Adelaide, SA, Australia, 28-30 September 2022.
Car following modelling with constrained generative adversarial imitation learning
Lin, Lin, Kim, Jiwon and Ahn, Sanghyung (2021). Car following modelling with constrained generative adversarial imitation learning. Australasian Transport Research Forum, Brisbane, QLD, Australia, 8-10 December 2021.
Data-driven traffic incident prediction with hybrid graph-based neural network
Tran, Thanh, He, Dan, Kim, Jiwon and Hickman, Mark (2021). Data-driven traffic incident prediction with hybrid graph-based neural network. Australasian Transport Research Forum, Brisbane, QLD, Australia, 8-10 December 2021.
Zhong, Miner, Kim, Jiwon and Zheng, Zuduo (2021). Estimating link flows from limited traffic volume and sparse trajectory data: reinforcement learning approaches. Transportation Research Board Annual Meeting, Washington, DC, United States, 25-29 January 2021.
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 Board Annual Meeting, Washington, DC, United States, 25-29 January 2021.
Maximum queue length estimation at signalized intersections using shockwave theory and Kalman filter
Abewickrema, Wanuji, Yildirimoglu, Mehmet and Kim, Jiwon (2021). Maximum queue length estimation at signalized intersections using shockwave theory and Kalman filter. Australasian Transport Research Forum 2021, Brisbane, QLD Australia, 8-10 December 2021. Australasian Transport Research Forum.
Network-wide traffic simulation with multi-agent imitation learning
Sun, Jie and Kim, Jiwon (2021). Network-wide traffic simulation with multi-agent imitation learning. Australasian Transport Research Forum, Brisbane, QLD, Australia, 8-10 December 2021.
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 Board Annual Meeting, Washington, DC, United States, 25-29 January 2021.
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
Drone-based vehicle identification: an empirical study of convolutional neural network performance
Hislop-Lynch, Samuel, Ahn, Sanghyung and Kim, Jiwon (2020). Drone-based vehicle identification: an empirical study of convolutional neural network performance. Transportation Research Board Annual Meeting, Washington, DC, United States, 12–16 January 2020.
Incorporating network traffic state for urban vehicle trajectory prediction
Choi, Seongjin, Kim, Jiwon and Yeo, Hwasoo (2020). Incorporating network traffic state for urban vehicle trajectory prediction. Transportation Research Board Annual Meeting, Washington, DC, United States, 12–16 January 2020.
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
Sharma, Anshuman, Zheng, Zuduo, Kim, Jiwon, Bhaskar, Ashish and Haque, Mazharul (2020). Investigating the impact of the connected environment on driver response time in car-following scenarios. Transportation Research Board Annual Meeting, Washington, DC, United States, 12-16 January 2020.
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
Estimating and comparing response times in traditional and connected environments
Sharma, Anshuman, Zheng, Zuduo, Kim, Jiwon, Bhaskar, Ashish and Haque, Mazharul (2019). Estimating and comparing response times in traditional and connected environments. Transportation Research Board Annual Meeting, Washington, DC, United States, 13 - 17 January 2019.
Wang, Guangxing and Kim, Jiwon (2019). Real-time prediction of inter-region traffic flow using urban vehicle trajectory data: a deep learning approach. Transportation Research Board Annual Meeting, Washington, DC, United States, 13-17 January 2019.
A large-scale neural network model for real-time crash prediction in urban road networks
Wang, Guangxing and Kim, Jiwon (2018). A large-scale neural network model for real-time crash prediction in urban road networks. Transportation Research Board Annual Meeting, Washington, DC USA, 7-11 January 2018.
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 Board Annual Meeting, Washington, DC USA, 7-11 January 2018.
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
Balancing computational requirements with performance in model predictive traffic control
Stebbins, Simon, Hickman, Mark, Kim, Jiwon and Vu, Hai (2018). Balancing computational requirements with performance in model predictive traffic control. Transportation Research Board Annual Meeting, Washington, DC, United States, 7-11 January 2018.
Hasan, Md Mahmud, Kim, Jiwon and Prato, Carlo (2018). Identifying relevant predictors and spatial relations of traffic parameters for network-wide short-term traffic prediction. Transportation Research Board Annual Meeting, Washington, DC, United States, 7-11 January 2018.
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.
Faroqi, Hamed, Mesbah, Mahmoud and Kim, Jiwon (2018). Investigating the correlation between activity similarity and trip similarity of public transit passengers using smart card data. Australasian Transport Research Forum, Darwin, NT, Australia, 30 October – 1 November 2018.
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.
Stebbins, Simon, Hickman, Mark, Kim, Jiwon and Vu, Hai (2017). Combining intersection control schedule optimisation with green light optimal speed advisory in a connected vehicle environment. Transportation Research Board Annual Meeting, Washington, DC, United States, 8-12 January 2017.
Hasan, Md Mahmud and Kim, Jiwon (2017). Granger causality method to detect spatial dependency in a road traffic network and its application in traffic flow prediction. Transportation Research Board Annual Meeting, Washington, DC, United States, 8 - 12 January 2017.
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.
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 Board Annual Meeting, Washington, DC USA, 10-14 January 2016.
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.
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.
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.
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.
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.
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.
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
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.
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). 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.
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 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.
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
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.
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
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.
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.
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.
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.
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.
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.
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) iMove Cooperative Research Centre
(2022–2023) UQ Amplify Women's Academic Research Equity
Making Spatiotemporal Data More Useful: An Entity Linking Approach
(2020–2024) 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
Safety Evaluation on Right-turn Traffic Control Strategies at Signalised Intersection using Hierarchical Models
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:
Behavioural econometrics applies to transport
Doctor Philosophy — Associate Advisor
Other advisors:
Methods for Public Transport Operations Planning and Management
Doctor Philosophy — Associate Advisor
Other advisors:
Real-time Analytics on Urban Trajectory Data for Road Traffic Management
Doctor Philosophy — Associate Advisor
Other advisors:
Zonal inference in congestion modelling
Doctor Philosophy — Associate Advisor
Other advisors:
Real-time Analytics on Urban Trajectory Data for Road Traffic Management
Doctor Philosophy — Associate Advisor
Operation Strategy of Shared Autonomous Vehicles with Various Passenger Capacity on the Basis of Ridesharing
Doctor Philosophy — Associate Advisor
Other advisors:
Visualisation of passenger and freight transport flows
Master Philosophy — Associate Advisor
Other advisors:
Solid-phase temperature analysis and correction for multi-scale fire experimentation
(2023) Doctor Philosophy — Principal Advisor
Other advisors:
(2021) Master Philosophy — Principal Advisor
Other advisors:
(2020) Master Philosophy — Principal Advisor
Other advisors:
(2020) Doctor Philosophy — Principal Advisor
Other advisors:
(2023) Doctor Philosophy — Associate 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).
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.