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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

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. 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

2023

Conference Publication

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.

Automatic traffic flow anomaly detection with reinforcement learning

2023

Conference Publication

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.

Interpretable data-driven car-following modelling with adversarial inverse reinforcement learning

2023

Conference Publication

An autonomous eco-driving strategy for mixed traffic in the vicinity of signalized intersection using deep reinforcement learning

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.

An autonomous eco-driving strategy for mixed traffic in the vicinity of signalized intersection using deep reinforcement learning

2023

Journal Article

Estimating link flows in road networks with synthetic trajectory data generation: inverse reinforcement learning approach

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

Estimating link flows in road networks with synthetic trajectory data generation: inverse reinforcement learning approach

2022

Journal Article

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

An efficient algorithm for maximum trajectory coverage query with approximation guarantee

2022

Conference Publication

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.

Online traffic incident prediction with hybrid graph-based neural network and continual learning

2022

Conference Publication

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.

A cooperative eco-driving system for mixed traffic on urban roads

2022

Conference Publication

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.

Threshold-free anomaly detection on traffic flow data with reinforcement learning