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2014

Conference Publication

Pattern recognition using clustering algorithm for scenario definition in traffic simulation-based decision support systems

Chen, 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

Pattern recognition using clustering algorithm for scenario definition in traffic simulation-based decision support systems

2013

Journal Article

Calibration of traffic flow models under adverse weather and application in mesoscopic network simulation

Hou, 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

Calibration of traffic flow models under adverse weather and application in mesoscopic network simulation

2013

Journal Article

Implementation and evaluation of weather-responsive traffic management strategies

Kim, 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

Implementation and evaluation of weather-responsive traffic management strategies

2013

Conference Publication

Toward capturing sources of travel time unreliability in microscopic traffic models: driver heterogeneity, flow breakdown, and crash occurrence

Talebpour, 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.

Toward capturing sources of travel time unreliability in microscopic traffic models: driver heterogeneity, flow breakdown, and crash occurrence

2013

Journal Article

Scenario-based approach to analysis of travel time reliability with traffic simulation models

Kim, 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

Scenario-based approach to analysis of travel time reliability with traffic simulation models

2013

Conference Publication

Implementation and evaluation of weather-responsive traffic management strategies: insight from different networks

Kim, 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.

Implementation and evaluation of weather-responsive traffic management strategies: insight from different networks

2013

Conference Publication

Scenario-based approach to analysis of travel time reliability with traffic simulation models

Kim, 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.

Scenario-based approach to analysis of travel time reliability with traffic simulation models

2013

Conference Publication

Calibration of Traffic Flow Models Under Adverse Weather and Application in Mesoscopic Network Simulation

Hou, 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.

Calibration of Traffic Flow Models Under Adverse Weather and Application in Mesoscopic Network Simulation

2011

Journal Article

Correlated parameters in driving behavior models: car-following example and implications for traffic microsimulation

Kim, 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

Correlated parameters in driving behavior models: car-following example and implications for traffic microsimulation

2011

Conference Publication

Correlated Parameters in Driving Behavior Models: Car-Following Example and Implications for Traffic Microsimulation

Kim, 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.

Correlated Parameters in Driving Behavior Models: Car-Following Example and Implications for Traffic Microsimulation

2010

Journal Article

Likelihood and duration of flow breakdown: modeling the effect of weather

Kim, 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

Likelihood and duration of flow breakdown: modeling the effect of weather

2010

Conference Publication

Likelihood and Duration of Flow Breakdown: Modeling the Effect of Weather

Kim, 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.

Likelihood and Duration of Flow Breakdown: Modeling the Effect of Weather