Airport traffic complexity and environment efficiency metrics for evaluation of ATM measures


== Abstract ==

For a given (current or planned) traffic demand, different air traffic management measures could result in different airport traffic complexity and efficiency. This paper presents the research on the relationship between airport traffic complexity and time and environmental efficiency for different air traffic control (ATC) tactics applied to the given or planned airport layout. Emphasis is placed on the evaluation of airport traffic complexity, aircraft fuel consumption, gas emissions and time efficiency for different ATC tactics and/or airport airfield layouts. For busy airports during peak hours, arrival queuing delays, taxi-in, taxi-out times and departure queuing delays increase, which induces additional unnecessary fuel consumption, gas emission and time inefficiency. In order to find a tool which could indicate potential delay generators, a measure of airport traffic complexity – called Dynamic Complexity is proposed. Experiments were performed for airports with different airfield layouts, for different traffic demands and ATC applied tactics using SIMMOD simulation model. Traffic situations were analyzed and delays were measured. The values of airport traffic complexity, fuel consumption and gas emissions were also determined. A comparative analysis of the results show: first, the proposed airport traffic complexity metric quite satisfactorily reflects the influence of traffic characteristics upon the environmental state of the system, and second, different ATM strategic and tactical measures (airport airfield infrastructure development and applied ATC tactics) could significantly reduce traffic complexity and increase time and environmental efficiency at the airport.


== Original document ==

The different versions of the original document can be found in:

* [http://dx.doi.org/10.1016/j.jairtraman.2014.11.008 http://dx.doi.org/10.1016/j.jairtraman.2014.11.008]

* [https://api.elsevier.com/content/article/PII:S0969699714001471?httpAccept=text/xml https://api.elsevier.com/content/article/PII:S0969699714001471?httpAccept=text/xml],
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: [http://dx.doi.org/10.1016/j.jairtraman.2014.11.008 http://dx.doi.org/10.1016/j.jairtraman.2014.11.008] under the license https://www.elsevier.com/tdm/userlicense/1.0/

* [https://www.sciencedirect.com/science/article/pii/S0969699714001471 https://www.sciencedirect.com/science/article/pii/S0969699714001471],
: [https://trid.trb.org/view/1339820 https://trid.trb.org/view/1339820],
: [https://EconPapers.repec.org/RePEc:eee:jaitra:v:42:y:2015:i:c:p:260-271 https://EconPapers.repec.org/RePEc:eee:jaitra:v:42:y:2015:i:c:p:260-271],
: [https://ideas.repec.org/a/eee/jaitra/v42y2015icp260-271.html https://ideas.repec.org/a/eee/jaitra/v42y2015icp260-271.html],
: [http://www.sciencedirect.com/science/article/pii/S0969699714001471 http://www.sciencedirect.com/science/article/pii/S0969699714001471],
: [https://academic.microsoft.com/#/detail/2060243258 https://academic.microsoft.com/#/detail/2060243258]