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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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2014 Conference Publication Development of real-time simulation-based decision support system for weather responsive traffic signal operationsKim, Jiwon, Mahmassani, Hani S., Hou, Tian and Alfelor, Roemer M. (2014). Development of real-time simulation-based decision support system for weather responsive traffic signal operations. 2014 17th IEEE International Conference on Intelligent Transportation Systems, ITSC 2014, Qingdao, China, 8-11 October 2014. Piscataway, NJ, United States: IEEE. doi: 10.1109/ITSC.2014.6957789 |
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2014 Conference Publication Compound gamma representation for modeling vehicle-to-vehicle and day-to-day travel time variability in a traffic networkKim, Jiwon and Mahmassani, Hani S. (2014). Compound gamma representation for modeling vehicle-to-vehicle and day-to-day travel time variability in a traffic network. Transportation Research Board 93rd Annual Meeting, Washington, DC, United States, 12-16 January 2014. Washington, DC, United States: Transportation Research Board. |
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2014 Conference Publication 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 Board Annual Meeting, Washington, DC, United States, 12-16 January 2014. |
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2014 Conference Publication Pattern recognition using clustering algorithm for scenario definition in traffic simulation-based decision support systemsChen, Ying, Kim, Jiwon and Mahmassani, Hani S. (2014). Pattern recognition using clustering algorithm for scenario definition in traffic simulation-based decision support systems. 2014 17th IEEE International Conference on Intelligent Transportation Systems, ITSC 2014, Qingdao, China, 8-11 October 2014. Piscataway, NJ, United States: IEEE. doi: 10.1109/ITSC.2014.6957787 |
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2014 Conference Publication How many runs? Analytical method for optimal scenario sampling to estimate the variance of travel time distributions in vehicular traffic networksKim, Jiwon and Mahmassani, Hani (2014). How many runs? Analytical method for optimal scenario sampling to estimate the variance of travel time distributions in vehicular traffic networks. Transportation Research Board Annual Meeting, Washington, DC, United States, 12-16 January 2014. |
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2014 Conference Publication Compound gamma representation for modeling vehicle-to-vehicle and day-to-day travel time variability in a traffic networkKim, Jiwon and Mahmassani, Hani S. (2014). Compound gamma representation for modeling vehicle-to-vehicle and day-to-day travel time variability in a traffic network. Transportation Research Board Annual Meeting, Washington, DC, United States, 12-16 January 2014. |
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2013 Journal Article Calibration of traffic flow models under adverse weather and application in mesoscopic network simulationHou, Tian, Mahmassani, Hani S., Alfelor, Roemer M., Kim, Jiwon and Saberi, Meead (2013). Calibration of traffic flow models under adverse weather and application in mesoscopic network simulation. Transportation Research Record, 2391 (2391), 92-104. doi: 10.3141/2391-09 |
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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 |
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2013 Conference Publication Toward capturing sources of travel time unreliability in microscopic traffic models: driver heterogeneity, flow breakdown, and crash occurrenceTalebpour, Alireza, Mahmassani, Hani S. and Kim, Jiwon (2013). Toward capturing sources of travel time unreliability in microscopic traffic models: driver heterogeneity, flow breakdown, and crash occurrence. Transportation Research Board Annual Meeting, Washington, DC USA, 13-17 January 2013. |
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2013 Journal Article Scenario-based approach to analysis of travel time reliability with traffic simulation modelsKim, Jiwon, Mahmassani, Hani S., Vovsha, Peter, Stogios, Yannis and Dong, Jing (2013). Scenario-based approach to analysis of travel time reliability with traffic simulation models. Transportation Research Record: Journal of the Transportation Research Board, 2391 (1), 56-68. doi: 10.3141/2391-06 |
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2013 Conference Publication Scenario-based approach to analysis of travel time reliability with traffic simulation modelsKim, Jiwon, Mahmassani, Hani, Vovsha, Peter, Stogios, Yannis and Dong, Jing (2013). Scenario-based approach to analysis of travel time reliability with traffic simulation models. Transportation Research Board Annual Meeting, Washington, DC, United States, 13-17 January 2013. |
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2013 Conference Publication Calibration of Traffic Flow Models Under Adverse Weather and Application in Mesoscopic Network SimulationHou, Tian , Mahmassani, Hani , Alfelor, Roemer , Kim, Jiwon and Saberi, Meead (2013). Calibration of Traffic Flow Models Under Adverse Weather and Application in Mesoscopic Network Simulation. Transportation Research Board Annual Meeting, Washington, DC, United States, 13-17 January 2013. |
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2013 Conference Publication Implementation and evaluation of weather-responsive traffic management strategies: insight from different networksKim, Jiwon, Mahmassani, Hani, Alfelor, Roemer, Chen, Ying, Hou, Tian, Jiang, Lan, Saberi, Meead, Verbas, Ömer and Zockaie, Ali (2013). Implementation and evaluation of weather-responsive traffic management strategies: insight from different networks. Transportation Research Board Annual Meeting, Washington, DC, United States, 13-17 January 2013. |
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2011 Journal Article Correlated parameters in driving behavior models: car-following example and implications for traffic microsimulationKim, Jiwon and Mahmassani, Hani S. (2011). Correlated parameters in driving behavior models: car-following example and implications for traffic microsimulation. Transportation Research Record, 2249 (1), 62-77. doi: 10.3141/2249-09 |
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2011 Conference Publication Correlated Parameters in Driving Behavior Models: Car-Following Example and Implications for Traffic MicrosimulationKim, Jiwon and Mahmassani, Hani S. (2011). Correlated Parameters in Driving Behavior Models: Car-Following Example and Implications for Traffic Microsimulation. Transportation Research Board Annual Meeting, Washington, DC, United States, 23-27 January 2011. |
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2010 Journal Article Likelihood and duration of flow breakdown: modeling the effect of weatherKim, Jiwon, Mahmassani, Hani S. and Dong, Jing (2010). Likelihood and duration of flow breakdown: modeling the effect of weather. Transportation Research Record, 2188 (2188), 19-28. doi: 10.3141/2188-03 |
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2010 Conference Publication Likelihood and Duration of Flow Breakdown: Modeling the Effect of WeatherKim, Jiwon , Mahmassani, Hani S. and Dong, Jing (2010). Likelihood and Duration of Flow Breakdown: Modeling the Effect of Weather. Transportation Research Board Annual Meeting, Washington, DC, United States, 10-14 January 2010. |
