Theodore Tsekeris

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This paper presents an adaptive hybrid fuzzy rule-based system (FRBS) approach for the modeling and short-term forecasting of traffic flow in urban arterial networks. Such an approach possesses the advantage of suitably addressing data imprecision and uncertainty, and it enables the incorporation of expert’s knowledge on local traffic conditions within the(More)
This paper describes the development and implementation of a dynamic congestion pricing scheme, augmented with a game-theoretic evolutionary learning model, into a realistic urban highway in Athens, Greece. The model recognizes several important behavioral features related to the response of users to the congestion pricing strategy. Such features include(More)
The present paper investigates the efficiency and robustness of different real-time dynamic origindestination (O-D) matrix adjustment algorithms when implemented in large-scale transportation networks. The proposed algorithms produce time-dependent O-D trip matrices based on the maximumentropy trip departure times, as they are calculated with the use of(More)