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Conflict resolution problems for air traffic management systems solved with mixed integer programming
This paper considers the problem of solving conflicts arising among several aircraft that are assumed to move in a shared airspace. Aircraft can not get closer to each other than a given safety distance in order to avoid possible conflicts between different airplanes. For such system of multiple air...
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Published in: | IEEE Transactions on intelligent transportation systems 2002-03, Vol.3 (1), p.3-11 |
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creator | Pallottino, L. Feron, E.M. Bicchi, A. |
description | This paper considers the problem of solving conflicts arising among several aircraft that are assumed to move in a shared airspace. Aircraft can not get closer to each other than a given safety distance in order to avoid possible conflicts between different airplanes. For such system of multiple aircraft, we consider the path planning problem among given waypoints avoiding all possible conflicts. In particular we are interested in optimal paths, i.e., we want to minimize the total flight time. We propose two different formulations of the multiaircraft conflict avoidance problem as a mixed-integer linear program: in the first case only velocity changes are admissible maneuvers, in the second one only heading angle changes are allowed. Due to the linear formulation of the two problems, solutions may be obtained quickly with standard optimization software, allowing our approach to be implemented in real time. |
doi_str_mv | 10.1109/6979.994791 |
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Aircraft can not get closer to each other than a given safety distance in order to avoid possible conflicts between different airplanes. For such system of multiple aircraft, we consider the path planning problem among given waypoints avoiding all possible conflicts. In particular we are interested in optimal paths, i.e., we want to minimize the total flight time. We propose two different formulations of the multiaircraft conflict avoidance problem as a mixed-integer linear program: in the first case only velocity changes are admissible maneuvers, in the second one only heading angle changes are allowed. Due to the linear formulation of the two problems, solutions may be obtained quickly with standard optimization software, allowing our approach to be implemented in real time.</description><identifier>ISSN: 1524-9050</identifier><identifier>EISSN: 1558-0016</identifier><identifier>DOI: 10.1109/6979.994791</identifier><identifier>CODEN: ITISFG</identifier><language>eng</language><publisher>Piscataway, NJ: IEEE</publisher><subject>Aerospace safety ; Air safety ; Air traffic control ; Air transportation ; Air transportation and traffic ; Aircraft ; Airplanes ; Airspace ; Applied sciences ; Communication system traffic control ; Computer programs ; Exact sciences and technology ; FAA ; Formulations ; Ground, air and sea transportation, marine construction ; Intelligent transportation systems ; Linear programming ; Maneuvers ; Mixed integer ; Operational research and scientific management ; Operational research. Management science ; Optimization ; Optimization. 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Aircraft can not get closer to each other than a given safety distance in order to avoid possible conflicts between different airplanes. For such system of multiple aircraft, we consider the path planning problem among given waypoints avoiding all possible conflicts. In particular we are interested in optimal paths, i.e., we want to minimize the total flight time. We propose two different formulations of the multiaircraft conflict avoidance problem as a mixed-integer linear program: in the first case only velocity changes are admissible maneuvers, in the second one only heading angle changes are allowed. Due to the linear formulation of the two problems, solutions may be obtained quickly with standard optimization software, allowing our approach to be implemented in real time.</description><subject>Aerospace safety</subject><subject>Air safety</subject><subject>Air traffic control</subject><subject>Air transportation</subject><subject>Air transportation and traffic</subject><subject>Aircraft</subject><subject>Airplanes</subject><subject>Airspace</subject><subject>Applied sciences</subject><subject>Communication system traffic control</subject><subject>Computer programs</subject><subject>Exact sciences and technology</subject><subject>FAA</subject><subject>Formulations</subject><subject>Ground, air and sea transportation, marine construction</subject><subject>Intelligent transportation systems</subject><subject>Linear programming</subject><subject>Maneuvers</subject><subject>Mixed integer</subject><subject>Operational research and scientific management</subject><subject>Operational research. 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Management science</topic><topic>Optimization</topic><topic>Optimization. Search problems</topic><topic>Waypoints</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Pallottino, L.</creatorcontrib><creatorcontrib>Feron, E.M.</creatorcontrib><creatorcontrib>Bicchi, A.</creatorcontrib><collection>IEEE All-Society Periodicals Package (ASPP) 1998-Present</collection><collection>IEEE Xplore</collection><collection>Pascal-Francis</collection><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Electronics & Communications Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Civil Engineering Abstracts</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts – Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Aerospace Database</collection><collection>ANTE: Abstracts in New Technology & Engineering</collection><jtitle>IEEE Transactions on intelligent transportation systems</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Pallottino, L.</au><au>Feron, E.M.</au><au>Bicchi, A.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Conflict resolution problems for air traffic management systems solved with mixed integer programming</atitle><jtitle>IEEE Transactions on intelligent transportation systems</jtitle><stitle>TITS</stitle><date>2002-03-01</date><risdate>2002</risdate><volume>3</volume><issue>1</issue><spage>3</spage><epage>11</epage><pages>3-11</pages><issn>1524-9050</issn><eissn>1558-0016</eissn><coden>ITISFG</coden><abstract>This paper considers the problem of solving conflicts arising among several aircraft that are assumed to move in a shared airspace. Aircraft can not get closer to each other than a given safety distance in order to avoid possible conflicts between different airplanes. For such system of multiple aircraft, we consider the path planning problem among given waypoints avoiding all possible conflicts. In particular we are interested in optimal paths, i.e., we want to minimize the total flight time. We propose two different formulations of the multiaircraft conflict avoidance problem as a mixed-integer linear program: in the first case only velocity changes are admissible maneuvers, in the second one only heading angle changes are allowed. Due to the linear formulation of the two problems, solutions may be obtained quickly with standard optimization software, allowing our approach to be implemented in real time.</abstract><cop>Piscataway, NJ</cop><pub>IEEE</pub><doi>10.1109/6979.994791</doi><tpages>9</tpages></addata></record> |
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subjects | Aerospace safety Air safety Air traffic control Air transportation Air transportation and traffic Aircraft Airplanes Airspace Applied sciences Communication system traffic control Computer programs Exact sciences and technology FAA Formulations Ground, air and sea transportation, marine construction Intelligent transportation systems Linear programming Maneuvers Mixed integer Operational research and scientific management Operational research. Management science Optimization Optimization. Search problems Waypoints |
title | Conflict resolution problems for air traffic management systems solved with mixed integer programming |
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