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2025

Journal Article

Understanding everyday public transit travel habits: A measurement framework for the peakedness of departure time distributions

Kim, Jiwon and Corcoran, Jonathan (2025). Understanding everyday public transit travel habits: A measurement framework for the peakedness of departure time distributions. Travel Behaviour and Society, 41 101040, 101040. doi: 10.1016/j.tbs.2025.101040

Understanding everyday public transit travel habits: A measurement framework for the peakedness of departure time distributions

2025

Journal Article

Activity-aware urban area embedding with contrastive learning for intelligent transportation systems applications

Li, Gen, Feng, Tao, He, Dan, Yan, Li and Kim, Jiwon (2025). Activity-aware urban area embedding with contrastive learning for intelligent transportation systems applications. Transportation Research Part C: Emerging Technologies, 178 105252, 105252-178. doi: 10.1016/j.trc.2025.105252

Activity-aware urban area embedding with contrastive learning for intelligent transportation systems applications

2025

Journal Article

An Ensemble Deep Learning Framework for Real-Time Queue Length Estimation at Signalized Intersections

Abewickrema, Wanuji, Yildirimoglu, Mehmet and Kim, Jiwon (2025). An Ensemble Deep Learning Framework for Real-Time Queue Length Estimation at Signalized Intersections. Data Science for Transportation, 7 (2) 15. doi: 10.1007/s42421-025-00129-1

An Ensemble Deep Learning Framework for Real-Time Queue Length Estimation at Signalized Intersections

2025

Journal Article

Integrating road network operations planning into real-time traffic management: A conceptual framework

Keblawi, Mahmud, Maripini, Himabindu, Kim, Jiwon, Hickman, Mark, Zheng, Zuduo and Yildirimoglu, Mehmet (2025). Integrating road network operations planning into real-time traffic management: A conceptual framework. Transportation Research Interdisciplinary Perspectives, 32 101525, 101525. doi: 10.1016/j.trip.2025.101525

Integrating road network operations planning into real-time traffic management: A conceptual framework

2025

Journal Article

A gentle introduction and tutorial on Deep Generative Models in transportation research

Choi, Seongjin, Jin, Zhixiong, Ham, Seung Woo, Kim, Jiwon and Sun, Lijun (2025). A gentle introduction and tutorial on Deep Generative Models in transportation research. Transportation Research Part C: Emerging Technologies, 176 105145, 105145-176. doi: 10.1016/j.trc.2025.105145

A gentle introduction and tutorial on Deep Generative Models in transportation research

2025

Journal Article

A Survey and Experimental Study on Neural Trajectory-User Linking Models

Shi, Hua, He, Dan, Jin, Fengmei, Hua, Wen, Kim, Jiwon, Wang, Qilin and Zhou, Xiaofang (2025). A Survey and Experimental Study on Neural Trajectory-User Linking Models. IEEE Transactions on Knowledge and Data Engineering, PP (99), 1-17. doi: 10.1109/TKDE.2025.3607902

A Survey and Experimental Study on Neural Trajectory-User Linking Models

2024

Conference Publication

CLMM: Uncertainty-Aware Map-Matching for Bluetooth Data Through Contrastive Learning

Zhu, Zichun, Jin, Fengmei, Hua, Wen and Kim, Jiwon (2024). CLMM: Uncertainty-Aware Map-Matching for Bluetooth Data Through Contrastive Learning. 35th Australasian Database Conference, ADC 2024, Gold Coast, QLD Australia, 16–18 December 2024. Singapore: Springer. doi: 10.1007/978-981-96-1242-0_23

CLMM: Uncertainty-Aware Map-Matching for Bluetooth Data Through Contrastive Learning

2024

Journal Article

Eco-driving strategies using reinforcement learning for mixed traffic in the vicinity of signalized intersections

Yang, Zhiwei, Zheng, Zuduo, Kim, Jiwon and Rakha, Hesham (2024). Eco-driving strategies using reinforcement learning for mixed traffic in the vicinity of signalized intersections. Transportation Research Part C: Emerging Technologies, 165 104683, 1-35. doi: 10.1016/j.trc.2024.104683

Eco-driving strategies using reinforcement learning for mixed traffic in the vicinity of signalized intersections

2024

Journal Article

Modelling two-dimensional driving behaviours at unsignalised intersection using multi-agent imitation learning

Sun, Jie and Kim, Jiwon (2024). Modelling two-dimensional driving behaviours at unsignalised intersection using multi-agent imitation learning. Transportation Research Part C: Emerging Technologies, 165 104702, 1-16. doi: 10.1016/j.trc.2024.104702

Modelling two-dimensional driving behaviours at unsignalised intersection using multi-agent imitation learning

2023

Journal Article

Toward data-driven simulation of network-wide traffic: a multi-agent imitation learning approach using urban vehicle trajectory data

Sun, Jie and Kim, Jiwon (2023). Toward data-driven simulation of network-wide traffic: a multi-agent imitation learning approach using urban vehicle trajectory data. IEEE Transactions on Intelligent Transportation Systems, 25 (7), 6645-6657. doi: 10.1109/tits.2023.3343452

Toward data-driven simulation of network-wide traffic: a multi-agent imitation learning approach using urban vehicle trajectory data

2023

Journal Article

Variables affecting the risk of vehicle collisions in Australian road tunnels

Hidayat, Edwin, Lange, David, Karlovsek, Jurij and Kim, Jiwon (2023). Variables affecting the risk of vehicle collisions in Australian road tunnels. Journal of Road Safety, 34 (4), 20-30. doi: 10.33492/JACRS-D-22-00032

Variables affecting the risk of vehicle collisions in Australian road tunnels

2023

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

MSGNN: A Multi-structured Graph Neural Network model for real-time incident prediction in large traffic networks

2023

Journal Article

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 Part C: Emerging Technologies, 154 104238, 1-19. doi: 10.1016/j.trc.2023.104238

Multivariate time-varying Kalman filter approach for cycle-based maximum queue length estimation

2023

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

A hierarchical multinomial logit model to examine the effects of signal strategies on right-turn crash injury severity at signalised intersections

2023

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. 24th IEEE International Conference on Mobile Data Management (MDM), Singapore, Singapore, 3-6 July 2023. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/mdm58254.2023.00048

Map-matching on wireless traffic sensor data with a sequence-to-sequence model

2023

Conference Publication

A deep learning framework to generate synthetic mobility data

Arkangil, Eren, Yildirimoglu, Mehmet, Kim, Jiwon and Prato, Carlo (2023). A deep learning framework to generate synthetic mobility data. 8th International Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS), Nice, France, 14-16 June 2023. Piscataway, NJ United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/mt-its56129.2023.10241677

A deep learning framework to generate synthetic mobility data

2023

Journal Article

A Hierarchical Multinomial Logit model to examine the effects of signal strategies on right-turn crash risks by crash movement configuration

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

A Hierarchical Multinomial Logit model to examine the effects of signal strategies on right-turn crash risks by crash movement configuration

2023

Journal Article

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

Autonomous anomaly detection on traffic flow time series with reinforcement learning

2023

Conference Publication

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 Board Annual Meeting, Washington, DC, United States, 8-12 January 2023.

MSGNN: a multi-structured graph neural network model for real-time incident prediction in large traffic networks

2023

Conference Publication

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.

Multivariate time-varying Kalman filter approach for cycle-based maximum queue length estimation