An Integrated Decision-Making Framework for Transportation Architectures:Application to Aviation Systems Design

Aircraft concept evaluation;Personal air vehicles;Agent-based simulation;Demand prediction;Tournament Logit;Induced travel;Multimodal transport model;Forecasting

Lewe, Jung-Ho ; Aerospace Engineering

University:Georgia Institute of Technology

Department:Aerospace Engineering

关键词: Aircraft concept evaluation;    Personal air vehicles;    Agent-based simulation;    Demand prediction;    Tournament Logit;    Induced travel;    Multimodal transport model;    Forecasting;   

Others  :  https://smartech.gatech.edu/bitstream/1853/6918/1/Jung-Ho_Lewe_200505_phd.pdf

美国|英语

来源: SMARTech Repository

【 摘 要 】

The National Transportation System (NTS) is undoubtedly a complex system-of-systems---acollection of diverse 'things' that evolve over time, organized at multiple levels, toachieve a range of possibly conflicting objectives, and never quite behaving as planned.The purpose of this research is to develop a virtual transportation architecture for theultimate goal of formulating an integrated decision-making framework. The foundationalendeavor begins with creating an abstraction of the NTS with the belief that a holisticframe of reference is required to properly study such a multi-disciplinary, trans-domainsystem. The culmination of the effort produces the Transportation Architecture Field(TAF) as a mental model of the NTS, in which the relationships between four basic entitygroups are identified and articulated. This entity-centric abstraction frameworkunderpins the construction of a virtual NTS couched in the form of an agent-based model.The transportation consumers and the service providers are identified as adaptive agentsthat apply a set of preprogrammed behavioral rules to achieve their respective goals. Thetransportation infrastructure and multitude of exogenous entities (disruptors anddrivers) in the whole system can also be represented without resorting to an extremelycomplicated structure. The outcome is a flexible, scalable, computational model thatallows for examination of numerous scenarios which involve the cascade of interrelatedeffects of aviation technology, infrastructure, and socioeconomic changes throughout theentire system.