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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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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 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 |
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2017 Journal Article Route choice stickiness of public transport passengers: measuring habitual bus ridership behaviour using smart card dataKim, Jiwon, Corcoran, Jonathan and Papamanolis, Marty (2017). Route choice stickiness of public transport passengers: measuring habitual bus ridership behaviour using smart card data. Transportation Research. Part C: Emerging Technologies: an international journal, 83, 146-164. doi: 10.1016/j.trc.2017.08.005 |
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2017 Journal Article Spatial-temporal similarity correlation between public transit passengers using smart card dataFaroqi, Hamed, Mesbah, Mahmoud and Kim, Jiwon (2017). Spatial-temporal similarity correlation between public transit passengers using smart card data. Journal of Advanced Transportation, 2017 1318945, 1-15. doi: 10.1155/2017/1318945 |
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2017 Journal Article Characterising Green Light Optimal Speed Advisory trajectories for platoon-based optimisationStebbins, Simon, Hickman, Mark, Kim, Jiwon and Vu, Hai L. (2017). Characterising Green Light Optimal Speed Advisory trajectories for platoon-based optimisation. Transportation Research Part C: Emerging Technologies, 82, 43-62. doi: 10.1016/j.trc.2017.06.014 |
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2016 Journal Article Diagnosis and prediction of traffic congestion on urban road networks using Bayesian networksKim, Jiwon and Wang, Guangxing (2016). Diagnosis and prediction of traffic congestion on urban road networks using Bayesian networks. Transportation Research Record, 2595 (1), 108-118. doi: 10.3141/2595-12 |
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2015 Journal Article Compound Gamma representation for modeling travel time variability in a traffic networkKim, Jiwon and Mahmassani, Hani S. (2015). Compound Gamma representation for modeling travel time variability in a traffic network. Transportation Research Part B: Methodological, 80, 40-63. doi: 10.1016/j.trb.2015.06.011 |
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2015 Journal Article Spatial and temporal characterization of travel patterns in a traffic network using vehicle trajectoriesKim, Jiwon and Mahmassani, Hani S. (2015). Spatial and temporal characterization of travel patterns in a traffic network using vehicle trajectories. Transportation Research Part C: Emerging Technologies, 59, 375-390. doi: 10.1016/j.trc.2015.07.010 |
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2014 Journal Article How many runs? Analytical method for optimal scenario sampling to estimate travel time variance in traffic networksKim, Jiwon and Mahmassani, Hani S. (2014). How many runs? Analytical method for optimal scenario sampling to estimate travel time variance in traffic networks. Transportation Research Record: Journal of the Transportation Research Board, 2467 (1), 49-61. doi: 10.3141/2467-06 |
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2014 Journal Article A finite mixture model of vehicle-to-vehicle and day-to-day variability of traffic network travel timesKim, Jiwon and Mahmassani, Hani S. (2014). A finite mixture model of vehicle-to-vehicle and day-to-day variability of traffic network travel times. Transportation Research Part C: Emerging Technologies, 46, 83-97. doi: 10.1016/j.trc.2014.05.011 |
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2013 Journal Article Implementation and evaluation of weather-responsive traffic management strategiesKim, Jiwon, Mahmassani, Hani S., Alfelor, Roemer, Chen, Ying, Hou, Tian, Jiang, Lan, Saberi, Meead, Verbas, Oemer and Zockaie, Ali (2013). Implementation and evaluation of weather-responsive traffic management strategies. Transportation Research Record, 2396 (2396), 93-106. doi: 10.3141/2396-11 |
