| Spatial and temporal characterization of travel patterns in a traffic network using vehicle trajectories J Kim, HS Mahmassani Transportation Research Part C: Emerging Technologies 59, 375-390, 2015 | 203 | 2015 |
| Correlated parameters in driving behavior models: Car-following example and implications for traffic microsimulation J Kim, HS Mahmassani Transportation research record 2249 (1), 62-77, 2011 | 135 | 2011 |
| Characterising Green Light Optimal Speed Advisory trajectories for platoon-based optimisation S Stebbins, M Hickman, J Kim, HL Vu Transportation Research Part C: Emerging Technologies 82, 43-62, 2017 | 125 | 2017 |
| TrajGAIL: Generating urban vehicle trajectories using generative adversarial imitation learning S Choi, J Kim, H Yeo Transportation Research Part C: Emerging Technologies 128, 103091, 2021 | 117 | 2021 |
| Assessing traffic disturbance, efficiency, and safety of the mixed traffic flow of connected vehicles and traditional vehicles by considering human factors A Sharma, Z Zheng, J Kim, A Bhaskar, MM Haque Transportation Research Part C: Emerging Technologies 124, 102934, 2021 | 97 | 2021 |
| Identification of communities in urban mobility networks using multi-layer graphs of network traffic M Yildirimoglu, J Kim Transportation Research Part C: Emerging Technologies 89, 254-267, 2018 | 95 | 2018 |
| Calibration of traffic flow models under adverse weather and application in mesoscopic network simulation T Hou, HS Mahmassani, RM Alfelor, J Kim, M Saberi Transportation Research Record 2391 (1), 92-104, 2013 | 92 | 2013 |
| Route choice stickiness of public transport passengers: Measuring habitual bus ridership behaviour using smart card data J Kim, J Corcoran, M Papamanolis Transportation Research Part C: Emerging Technologies 83, 146-164, 2017 | 85 | 2017 |
| Compound Gamma representation for modeling travel time variability in a traffic network J Kim, HS Mahmassani Transportation Research Part B: Methodological 80, 40-63, 2015 | 85* | 2015 |
| Likelihood and duration of flow breakdown: modeling the effect of weather J Kim, HS Mahmassani, J Dong Transportation Research Record 2188 (1), 19-28, 2010 | 73 | 2010 |
| Incorporating Weather Impacts in Traffic Estimation and Prediction Systems [Report] HS Mahmassani, J Dong, J Kim, RB Chen, BB Park United States. Joint Program Office for Intelligent Transportation Systems, 2009 | 73 | 2009 |
| Joint prediction of next location and travel time from urban vehicle trajectories using long short-term memory neural networks J Sun, J Kim Transportation Research Part C: Emerging Technologies 128, 103114, 2021 | 67 | 2021 |
| Attention-based Recurrent Neural Network for Urban Vehicle Trajectory Prediction S Choi, J Kim, H Yeo Procedia Computer Science 151, 327-334, 2019 | 59 | 2019 |
| 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 … A Sharma, Z Zheng, J Kim, A Bhaskar, MM Haque Analytic methods in accident research 27, 100127, 2020 | 58 | 2020 |
| Diagnosis and Prediction of Traffic Congestion on Urban Road Networks Using Bayesian Networks J Kim, G Wang Transportation Research Record: Journal of the Transportation Research Board …, 2016 | 53 | 2016 |
| Network-Wide Vehicle Trajectory Prediction in Urban Traffic Networks Using Deep Learning S Choi, H Yeo, J Kim Transportation Research Record 2672 (45), 173-184, 2018 | 50 | 2018 |
| Estimating and comparing response times in traditional and connected environments A Sharma, Z Zheng, J Kim, A Bhaskar, MM Haque Transportation Research Record 2673 (4), 674-684, 2019 | 47 | 2019 |
| A finite mixture model of vehicle-to-vehicle and day-to-day variability of traffic network travel times J Kim, HS Mahmassani Transportation Research Part C: Emerging Technologies 46, 83-97, 2014 | 47 | 2014 |
| Scenario-based approach to analysis of travel time reliability with traffic simulation models J Kim, HS Mahmassani, P Vovsha, Y Stogios, J Dong Transportation Research Record 2391 (1), 56-68, 2013 | 44 | 2013 |
| Forecasting Pedestrian Movements Using Recurrent Neural Networks: An Application of Crowd Monitoring Data DC Duives, G Wang, J Kim Sensors 19 (2), 382, 2019 | 43 | 2019 |
Hani MahmassaniW. A. Patterson Chair in Transportation; Director, Northwestern University Transportation Center在 northwestern.edu 的电子邮件经过验证
