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Service Design and Fleet Management for Low-altitude Economy

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AAE5301aaeFaculty of Engineering3 credits

Service Design and Fleet Management for Low-altitude Economy

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Overview

来自官方课程资料的结构化信息

Course Code

AAE5301

Course Name

Service Design and Fleet Management for Low-altitude Economy

Department

aae

School ID

polyu

Faculty

Faculty of Engineering

Credits

3 credits

Level

5 Pre-requisite/ Co-requisite/

课程简介

/ Indicative Syllabus Operations management in low-altitude transport: Decisions on helipad and vertiport locations, construction of service networks, fleet assignments, flight timetable design, queueing analysis, and vehicle routing for drones, electric vertical take-off and landing (eVTOL) aircraft, and other aerial vehicles. Multi-modal transportation: Game theory analysis, analysis of collaboration and competition between different transport modes, synchronization of timetables, and strategies for demand analysis and pricing in low-altitude transport. Service design in special context: Complex network theory, point-to- point/hub-and-spoke, network model; helipad/miniport for eVTOL; Derivation of objectives and constraints for drone applications in parcel delivery and rescue logistics, model construction, and implementation. -- 1 of 3 -- 2 Moreover, the background knowledge of the business planning and project management will also be introduced.

目标

This subject will provide students with 1. Advanced knowledge in facility location, service network design, fleet assignment, flight scheduling, and vehicle routing of low-altitude transport; 2. Comprehensive understanding of multi-modal transportation within low-altitude economy; and 3. Operational planning skills for unmanned aerial vehicles in various applications.

先修要求

/ Co-requisite/ Exclusion Nil

Teaching Pattern

Methodology Teaching is conducted through lectures and assignments. The basic knowledge, research methodology and theoretical models will be introduced. The understanding of how to address and formulate problems by using mathematical programming, data analytics, and operations research techniques is emphasised. Teaching/Learning Methodology Outcomes a b c Lecture   