{"63308":{"#nid":"63308","#data":{"type":"event","title":"Multi-agent models of airline frequency competition for mitigating passenger delays","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003ETITLE:\u003C\/strong\u003E\u0026nbsp; Multi-agent\nmodels of airline frequency competition for mitigating passenger delays\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ESPEAKER:\u0026nbsp; \u003C\/strong\u003EVikrant Vaze, Faculty Candidate in Transportation Systems\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EABSTRACT:\u003C\/strong\u003E\u003C\/p\u003E\u003Cp\u003EAirport congestion is imposing a tremendous cost on the world economy\nwith demand often exceeding the capacity at the congested airports. Airline\nfrequency competition is partially responsible for the growing demand for\nairport resources. Market share of an airline is a function of its frequency\nshare. Based on the most commonly accepted form of this relationship, we\npropose a game-theoretic model of airline frequency competition. We prove the\nconvergence of myopic best-response dynamics to a pure strategy Nash\nequilibrium. We provide an expression for the measure of inefficiency\nintroduced by airline competition, similar to the price of anarchy, which is\nthe ratio of the total cost of the worst-case equilibrium to the total cost of\nthe cost minimizing solution.\u003C\/p\u003E\n\n\u003Cp\u003EUsing actual data on air travel demand, costs and airfares, we obtain a\nlower bound on system-wide delays by solving a system-optimal problem. The\nsolution to this large-scale mixed-integer programming problem shows that\ndelays could be reduced substantially in the absence of competition. Next, we\nmodel airline frequency competition at a slot constrained airport and provide\nempirical validation of the Nash equilibrium outcome. A significant result\nshows that a small reduction in total number of allocated slots translates into\na substantial reduction in congestion and delays, and also a considerable\nimprovement in airlines\u2019 profits.\u003C\/p\u003E\n\n\u003Cp\u003EFinally, lack of\npublicly available disaggregate passenger travel data has made it difficult to\nunderstand and quantify the impacts of congestion and congestion mitigation\nstrategies on passenger delays and disruptions. We use multiple sources of\npublicly available data and develop a novel discrete choice-based approach to\nestimate the disaggregate passenger flow data. We quantify the passenger delay\ncosts and provide insights into major factors affecting passenger delays.\u003C\/p\u003E","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"Multi-agent models of airline frequency competition for mitigating passenger delays"}],"uid":"27187","created_gmt":"2011-01-03 09:10:01","changed_gmt":"2016-10-08 01:53:40","author":"Anita Race","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2011-01-18T10:00:00-05:00","event_time_end":"2011-01-18T11:00:00-05:00","event_time_end_last":"2011-01-18T11:00:00-05:00","gmt_time_start":"2011-01-18 15:00:00","gmt_time_end":"2011-01-18 16:00:00","gmt_time_end_last":"2011-01-18 16:00:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"groups":[{"id":"1242","name":"School of Industrial and Systems Engineering (ISYE)"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}}}