|
2023 Conference Publication Map-matching on wireless traffic sensor data with a sequence-to-sequence modelZhu, 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 |
|
2023 Conference Publication A deep learning framework to generate synthetic mobility dataArkangil, 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 |
|
2023 Conference Publication Interpretable data-driven car-following modelling with adversarial inverse reinforcement learningLin, 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. |
|
2023 Conference Publication An autonomous eco-driving strategy for mixed traffic in the vicinity of signalized intersection using deep reinforcement learningYang, 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. |
|
2023 Conference Publication MSGNN: a multi-structured graph neural network model for real-time incident prediction in large traffic networksTran, 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. |
|
2023 Conference Publication Multivariate time-varying Kalman filter approach for cycle-based maximum queue length estimationAbewickrema, 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. |
|
2023 Conference Publication Automatic traffic flow anomaly detection with reinforcement learningHe, 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. |
|
2022 Conference Publication A cooperative eco-driving system for mixed traffic on urban roadsYang, 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. |
|
2022 Conference Publication Online traffic incident prediction with hybrid graph-based neural network and continual learningTran, 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. |
|
2022 Conference Publication Threshold-free anomaly detection on traffic flow data with reinforcement learningHe, 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. |
|
2022 Conference Publication Multivariate time-varying Kalman filter approach for cycle-based maximum queue length estimationAbewickrema, 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. |
|
2021 Conference Publication Car following modelling with constrained generative adversarial imitation learningLin, 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. |
|
2021 Conference Publication Network-wide traffic simulation with multi-agent imitation learningSun, 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. |
|
2021 Conference Publication Data-driven traffic incident prediction with hybrid graph-based neural networkTran, 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. |
|
2021 Conference Publication TrajGAIL: generating urban vehicle trajectories using generative adversarial imitation learningChoi, 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. |
|
2021 Conference Publication Maximum queue length estimation at signalized intersections using shockwave theory and Kalman filterAbewickrema, 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. |
|
2021 Conference Publication Joint prediction of next location and travel time from urban vehicle trajectories using long short-term memory neural networksSun, 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. |
|
2021 Conference Publication Estimating link flows from limited traffic volume and sparse trajectory data: reinforcement learning approachesZhong, 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. |
|
2020 Conference Publication Route reconstruction using low-quality bluetooth readingsXu, 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 |
|
2020 Conference Publication Drone-based vehicle identification: an empirical study of convolutional neural network performanceHislop-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. |
