Výsledky vyhledávání - "SENGUPTA, RAJA"

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Fleet Size and Spill for UAM Operation under Uncertain Demand

Autor: Cao, Shangqing, Jiang, Xuan, Onat, Emin Burak, Zou, Bo, Hansen, Mark, Sengupta, Raja, Chakrabarty, Anjan

Variation and imbalance in demand poses significant challenges to Urban Air Mobility (UAM) operations, affecting strategic decisions such as fleet sizing. To study the implications of demand variation on UAM fleet operations, we propose a stochastic

Externí odkaz: http://arxiv.org/abs/2407.00947

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A Simulation-Optimization Framework for Developing Wind-Resilient AAM Networks

Autor: Onat, Emin Burak, Cao, Shangqing, Rizwan, Raiyan, Jiang, Xuan, Hansen, Mark, Sengupta, Raja, Chakrabarty, Anjan

Environmental factors pose a significant challenge to the operational efficiency and safety of advanced air mobility (AAM) networks. This paper presents a simulation-optimization framework that dynamically integrates wind variability into AAM operati

Externí odkaz: http://arxiv.org/abs/2405.11118

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Large Scale Multi-GPU Based Parallel Traffic Simulation for Accelerated Traffic Assignment and Propagation

Autor: Jiang, Xuan, Sengupta, Raja, Demmel, James, Williams, Samuel

Traffic propagation simulation is crucial for urban planning, enabling congestion analysis, travel time estimation, and route optimization. Traditional micro-simulation frameworks are limited to main roads due to the complexity of urban mobility and

Externí odkaz: http://arxiv.org/abs/2406.08496

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Evaluating eVTOL Network Performance and Fleet Dynamics through Simulation-Based Analysis

Autor: Onat, Emin Burak, Bulusu, Vishwanath, Chakrabarty, Anjan, Hansen, Mark, Sengupta, Raja, Sridar, Banavar

Urban Air Mobility (UAM) represents a promising solution for future transportation. In this study, we introduce VertiSim, an advanced event-driven simulator developed to evaluate e-VTOL transportation networks. Uniquely, VertiSim simultaneously model

Externí odkaz: http://arxiv.org/abs/2312.02505

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Simulating the Integration of Urban Air Mobility into Existing Transportation Systems: A Survey

Autor: Jiang, Xuan, Tang, Yuhan, Cao, Junzhe, Bulusu, Vishwanath, Hao, Yang, Peng, Xin, Zheng, Yunhan, Zhao, Jinhua, Sengupta, Raja

Urban air mobility (UAM) has the potential to revolutionize transportation in metropolitan areas, providing a new mode of transportation that could alleviate congestion and improve accessibility. However, the integration of UAM into existing transpor

Externí odkaz: http://arxiv.org/abs/2301.12901

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Tracking the State and Behavior of People in Response to COVID-1 19 Through the Fusion of Multiple Longitudinal Data Streams

Autor: Bouzaghrane, Mohamed Amine, Obeid, Hassan, Hayes, Drake, Chen, Minnie, Li, Meiqing, Parker, Madeleine, Rodríguez, Daniel A., Chatman, Daniel G., Frick, Karen Trapenberg, Sengupta, Raja, Walker, Joan

The changing nature of the COVID-19 pandemic has highlighted the importance of comprehensively considering its impacts and considering changes over time. Most COVID-19 related research addresses narrowly focused research questions and is therefore li

Externí odkaz: http://arxiv.org/abs/2209.11805

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