Výsledky vyhledávání - "Ha, Paul Young Joun"

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Using Empirical Trajectory Data to Design Connected Autonomous Vehicle Controllers for Traffic Stabilization

Autor: Li, Yujie, Chen, Sikai, Du, Runjia, Ha, Paul Young Joun, Dong, Jiqian, Labi, Samuel

Emerging transportation technologies offer unprecedented opportunities to improve the efficiency of the transportation system from the perspectives of energy consumption, congestion, and emissions. One of these technologies is connected and autonomou

Externí odkaz: http://arxiv.org/abs/2010.05440

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Leveraging the Capabilities of Connected and Autonomous Vehicles and Multi-Agent Reinforcement Learning to Mitigate Highway Bottleneck Congestion

Autor: Ha, Paul Young Joun, Chen, Sikai, Dong, Jiqian, Du, Runjia, Li, Yujie, Labi, Samuel

Active Traffic Management strategies are often adopted in real-time to address such sudden flow breakdowns. When queuing is imminent, Speed Harmonization (SH), which adjusts speeds in upstream traffic to mitigate traffic showckwaves downstream, can b

Externí odkaz: http://arxiv.org/abs/2010.05436

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A DRL-based Multiagent Cooperative Control Framework for CAV Networks: a Graphic Convolution Q Network

Autor: Dong, Jiqian, Chen, Sikai, Ha, Paul Young Joun, Li, Yujie, Labi, Samuel

Connected Autonomous Vehicle (CAV) Network can be defined as a collection of CAVs operating at different locations on a multilane corridor, which provides a platform to facilitate the dissemination of operational information as well as control instru

Externí odkaz: http://arxiv.org/abs/2010.05437

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A Cooperative Control Framework for CAV Lane Change in a Mixed Traffic Environment

Autor: Du, Runjia, Chen, Sikai, Li, Yujie, Dong, Jiqian, Ha, Paul Young Joun, Labi, Samuel

In preparing for connected and autonomous vehicles (CAVs), a worrisome aspect is the transition era which will be characterized by mixed traffic (where CAVs and human-driven vehicles (HDVs) share the roadway). Consistent with expectations that CAVs w

Externí odkaz: http://arxiv.org/abs/2010.05439

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Leveraging Vehicle Connectivity and Autonomy to Stabilize Flow in Mixed Traffic Conditions: Accounting for Human-driven Vehicle Driver Behavioral Heterogeneity and Perception-reaction Time Delay

Autor: Li, Yujie, Chen, Sikai, Ha, Paul Young Joun, Dong, Jiqian, Steinfeld, Aaron, Labi, Samuel

The erratic nature of human driving tends to trigger undesired waves that amplify as successive driver reactions propagate from the errant vehicle to vehicles upstream. Known as phantom jams, this phenomenon has been identified in the literature as o

Externí odkaz: http://arxiv.org/abs/2008.04351

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