Computational Modelling Of Factors External To Aircraft
This work package investigates sources of uncertainty during ground movements related to traffic, weather, etc. and their quantification and validation through simulation models.
Related publications:
- Ravizza, S., Chen, J., Atkin, J. A., Stewart, P., & Burke, E. K. (2014). Aircraft taxi time prediction: comparisons and insights. Applied Soft Computing, 14, 397-406. (link)
- Chen, J., Ravizza, S., Atkin, J. A., & Stewart, P. (2011). On the utilisation of fuzzy rule-based systems for taxi time estimations at airports. In OASIcs-OpenAccess Series in Informatics (Vol. 20). Schloss Dagstuhl-Leibniz-Zentrum fuer Informatik. (link)
- Obayemu, O., Mahfouf, M., Allerton, D., Weiszer, M., Chen, J. (2017). A Type-2 Fuzzy Modelling Framework for Aircraft Taxi-Time Prediction. In Intelligent Transportation Systems (ITSC), 2017 IEEE 20th International Conference on
- Chen, J., Weiszer, M., Zareian, E., Mahfouf, M., Obayemu, O.(2017). Multi-objective Fuzzy Rule-Based Prediction and Uncertainty Quantification of Aircraft Taxi Time. In Intelligent Transportation Systems (ITSC), 2017 IEEE 20th International Conference on (link)