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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. |
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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. |
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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. |
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2020 Journal Article Activity-trip based model for friend recommendation with transit smart card recordsFaroqi, 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 |
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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 |
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2020 Journal Article 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 situationsSharma, 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 |
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2020 Journal Article Modelling socioeconomic attributes of public transit passengersFaroqi, 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 |
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2020 Conference Publication Investigating the correlation between activity similarity and trip similarity of public transit passengers using smart card dataFaroqi, 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 |
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2020 Conference Publication Investigating the impact of the connected environment on driver response time in car-following scenariosSharma, 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. |
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2020 Conference Publication Incorporating network traffic state for urban vehicle trajectory predictionChoi, 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. |
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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. |
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2019 Journal Article Deep-learning based urban vehicle trajectory predictionChoi, 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 |
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2019 Conference Publication Real-time prediction of arterial vehicle trajectories: an application to predictive route guidance for an emergency vehicleChoi, 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 |
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2019 Journal Article Behavioural advertising in the public transit networkFaroqi, 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 |
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2019 Journal Article Comparing sequential with combined spatiotemporal clustering of passenger trips in the public transit network using smart card dataFaroqi, 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 (1) 5070794, 1-16. doi: 10.1155/2019/5070794 |
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2019 Journal Article Operational Ssenario definition in traffic simulation-based decision support systems: pattern recognition using a clustering algorithmChen, 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 |
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2019 Journal Article Estimating and comparing response times in traditional and connected environmentsSharma, 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 |
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2019 Journal Article Forecasting pedestrian movements using recurrent neural networks: an application of crowd monitoring dataDuives, 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 |
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2019 Conference Publication Real-time prediction of inter-region traffic flow using urban vehicle trajectory data: a deep learning approachWang, 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. |
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2019 Conference Publication Estimating and comparing response times in traditional and connected environmentsSharma, 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. |
