activity
20242026
most citedFleet Size and Spill for UAM Operation under Uncertain Demand

6 citations · 11 across the 7 of their papers we have counts for

collaborators

7 papers

eess.SY2026

Like Uber or Like Buses? Economic Feasibility Analysis of UAM for Airport Access

Shangqing Cao, Rishi Kumar Srinivasan, Raja Sengupta +1

The airport access use case is a promising early-stage application for Urban Air Mobility (UAM). Understanding the operational paradigm of UAM at airports is crucial for making equ…

eess.SY2026

Aircraft and Fleet Sizing for Regional Air Mobility: College Town Case Studies

Jung Ho Park, Changyeob Lee, Shangqing Cao +3

We examine how aircraft seat configuration interacts with daily operation in Regional Air Mobility by applying a joint supply-demand optimization framework that simultaneously dete…

cs.DC2025

From Patchwork to Network: A Comprehensive Framework for Demand Analysis and Fleet Optimization of Urban Air Mobility

Xuan Jiang, Xuanyu Zhou, Yibo Zhao +5

Urban Air Mobility (UAM) presents a transformative vision for metropolitan transportation, but its practical implementation is hindered by substantial infrastructure costs and oper…

eess.SY2025

Robust Management of Airport Security Queues Considering Passenger Non-compliance with Chance-Constrained Optimization

Shangqing Cao, Aparimit Kasliwal, Huangyi Zheng +3

The long waiting time at airport security has become an emergent issue as demand for air travel continues to grow. Not only does queuing at security cause passengers to miss their…

eess.SY2024★ 2 cited

Effective Management of Airport Security Queues with Passenger Reassignment

Shangqing Cao, Aparimit Kasliwal, Masoud Reihanifar +2

Airport security queues often suffer from inefficiencies that result in long wait times and decreased throughput, especially at peak departure time, affecting both passengers and a…

eess.SY2024★ 6 cited

Fleet Size and Spill for UAM Operation under Uncertain Demand

Shangqing Cao, Xuan Jiang, Emin Burak Onat +4

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…

eess.SY2024★ 3 cited

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

Emin Burak Onat, Shangqing Cao, Raiyan Rizwan +4

Environmental factors pose a significant challenge to the operational efficiency and safety of advanced air mobility (AAM) networks. This paper presents a simulation-optimization f…