Core Concepts
Efficient traffic management is crucial for the operation of on-demand urban air mobility systems, maximizing throughput and reducing passenger waiting times.
Abstract
This study presents a centralized traffic management framework called VertiSync for on-demand UAM systems. It addresses scheduling policies, rebalancing, and system-level throughput. The research includes problem formulation, operational constraints, demand modeling, and performance metrics. A case study for Los Angeles demonstrates significant improvements over traditional scheduling policies.
I. Introduction
Urban Air Mobility (UAM) as a solution to traffic congestion.
Importance of traffic management in high-demand scenarios.
II. Problem Formulation
Describes UAM network structure and operational constraints.
Introduces key concepts like takeoff, airborne phase, and landing.
Discusses rebalancing and energy requirements.
III. Network-Wide Scheduling
Introduces the VertiSync policy for synchronous scheduling.
Defines slot-based aircraft tracking and energy considerations.
Presents constraints and optimization problems.
IV. Simulation Results
Demonstrates VertiSync's performance against FCFS policy.
Evaluates travel times under different demand scenarios.
Compares UAM travel time with ground transportation.
V. Conclusion
Summarizes findings and future research directions.
Stats
"The number of trip requests for an O-D pair p that have been serviced by Ri up to time tk is at most Ri pxitk/τ."
"Qp(tk) ≥ Qp(0) + Ap(tk) - ∑Ri=1 Ri pxitk/τ."
Quotes
"Efficient rebalancing ensures the effectiveness of on-demand UAM systems."
"The proposed policy maximizes throughput while reducing passenger waiting times significantly."