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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 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. |
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2019 Conference Publication Attention-based recurrent neural network for urban vehicle trajectory predictionChoi, 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. doi: 10.1016/j.procs.2019.04.046 |
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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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2018 Journal Article Network-wide vehicle trajectory prediction in urban traffic networks using deep learningChoi, 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 |
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2018 Journal Article Urban trajectory analytics: day-of-week movement pattern mining using tensor factorizationNaveh, 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 |
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2018 Journal Article A model for measuring activity similarity between public transit passengers using smart card dataFaroqi, 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 |
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2018 Journal Article Applications of transit smart cards beyond a fare collection tool: a literature reviewFaroqi, 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 |
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2018 Other Outputs Too wet? Too cold? Too hot? This is how weather affects the trips we makeCorcoran, 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 |
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2018 Journal Article Identification of communities in urban mobility networks using multi-layer graphs of network trafficYildirimoglu, 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 |
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2018 Journal Article Time-dependent route scheduling on road networksLi, 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 |
