Optimal speed profile generation for airport ground movement with consideration of emissions

Chen, Jun and Weiszer, Michal and Stewart, Paul (2015) Optimal speed profile generation for airport ground movement with consideration of emissions. In: 18th IEEE International Conference on Intelligent Transportation Systems, 15-18 September 2015, Las Palmas de Gran Canaria.

Documents
IEEE_conference_ITS_2015_JC _v2_.pdf
[img]
[Download]
[img]
Preview
PDF
IEEE_conference_ITS_2015_JC _v2_.pdf - Whole Document

356kB
Item Type:Conference or Workshop contribution (Paper)
Item Status:Live Archive

Abstract

Emissions during the ground movement are mostly calculated based on International Civil Aviation Organisation (ICAO) emission databank. The fuel flow rate is normally assumed as a constant, hence the emission index. Therefore, no detailed discrimination of power settings during ground movement is considered to account for different emissions at different power settings. This may lead to a suboptimal and often unrealistic taxi planning. At the heart of the recently proposed Active Routing (AR) framework for airport ground movement is the unimpeded optimal speed profile generation, taking into account both time and fuel efficiency. However, emissions have not been included in the process of generating optimal speed profiles. Taking into account emissions in ground operations is not a trivial task as not all emissions can be reduced on the same path of reducing time and fuel burn. In light of this, in this paper, a detailed analysis of three main emissions at the airports, viz. CO, Total Hydrocarbon (HC), and NOx, are carried out in order to obtain a minimum number of conflicting objectives for generating optimal speed profiles. The results show that NOx has a strong linear correlation with fuel burn across all aircraft categories. For the heavy aircraft, HC and CO should be treated individually apart from the time and fuel burn objectives. For medium and light aircraft, a strong correlation between HC, CO and time has been observed, indicating a reduced number of objectives will be sufficient to account for taxi time, fuel burn and emissions. The generated optimal speed profiles with consideration of different emissions will have impact on the resulted taxiing planning using the AR and also affect decisions regarding airport regulations.

Keywords:Multi-objective optimisation, Active Routing, fuel consumption, emissions, speed profile generation, airport ground movement.
Subjects:G Mathematical and Computer Sciences > G200 Operational Research
H Engineering > H460 Aviation studies
Divisions:College of Science > School of Engineering
ID Code:18185
Deposited On:03 Aug 2015 11:18

Repository Staff Only: item control page