On the Utilisation of Fuzzy Rule-Based Systems for Taxi Time Estimations at Airports

Jun Chen, Stefan Ravizza, Jason A. D. Atkin & Paul Stewart
The primary objective of this paper is to introduce Fuzzy Rule-Based Systems (FRBSs) as a relatively new technology into airport transportation research, with a special emphasis on ground movement operations. Hence, a Mamdani FRBS with the capability to learn from data has been adopted for taxi time estimations at Zurich Airport (ZRH). Linear regression is currently the dominating technique for such an estimation task due to its established nature, proven mathematical characteristics and straightforward explanatory...