Loukas Dimitriou

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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)
In the current social, physical, economical and environmental circumstances of scarcity, the design and management of vital lifelines like transportation systems, especially within the metropolitan context, are subject to the implementation of multiple objectives in a unified framework. Thus, one of the most important issues is the identification of optimal(More)
Urban areas are facing an enormous pressure for mobility opportunities, a phenomenon closely related to economic activity and urban welfare growth. The development of urban transportation networks is a vital component in the performance of metropolitan complexes, where multiple policies can be employed and multiple objectives is urged to be met. In this(More)
This study describes the use of a Direct Search (DS) meta-heuristic algorithm for solving the toll design problem, in terms of finding the optimum toll level, in private roads. The problem is formulated as a nonconvex, bilevel nonlinear mathematical program which seeks to maximize toll revenues while taking into account the travel responses of network(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)