Vehicle Travel Time Estimation Using Sequence Prediction

This paper proposes a region-based travel time and traffic speed prediction method using sequence prediction. Floating Car Data collected from 8,317 vehicles during 34 days are used for evaluation purposes. Twelve districts are chosen and the spatio-temporal non-linear relations are learned with Recurrent Neural Networks. Time estimation of the total trip is solved by travel time estimation of the divided sub-trips, which are constituted between two consecutive GNSS measurement data. The travel time and final speed of sub-trips are learned with Long Short-term Memory cells using sequence prediction. A sequence is defined by including the day of the week meta-information, dynamic information about vehicle route start and end positions, and average travel speed of the road segment that has been traversed by the vehicle. The final travel time is estimated for this sequence. The sequence-based prediction shows promising results, outperforms function mapping and non-parametric linear velocity change based methods in terms of root-mean-square error and mean absolute error metrics.</p

Expert system for ship lock control based on computational intelligence

U disertaciji je dato jedno rešenje automatskog operativnog upravljanja dvosmernom brodskom prevodnicom sa jednom komorom. Kreiran je ekspertski sistem zasnovan na rasplinutoj (fuzzy) logici. Upravljački sistem je testiran na modelu brodske prevodnice koji je kreiran na osnovu statističkih podataka o gustini saobraćaja na hidrosistemu DTD (Dunav-Tisa-Dunav), na osnovu tehničke dokumentacije brodske prevodnice i na osnovu razgovora sa operaterima. Sistem je zatim optimizovan globalnim algoritmima optimizacije. Dobijeno rešenje se pokazalo značajno bolje u poređenju sa standardnim algoritmima odluke.This thesis presents a solution to automatic control of a two-way one-channel ship lock. Expert system based on fuzzy logic is designed. This control system is tested on model of ship lock created using statistical data of transportation density on DTD (Danube-Tisa-Danube) channel, using technical documentation of ship lock and interview with operators. The system is further optimized with global optimization techniques. Given solution proved to be significantly better than standard decision algorithms