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Mr. Theocharis Vlachopanagiotis
Rhoe Urban Technologies

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Research Keywords & Expertise

0 Machine Learning
0 Mobility
0 Public Transport
0 Transportation
0 e-mobility

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Short Biography

Theocharis is the CEO and co-founder of Rhoé; a transportation research group turned award-winning startup. He has worked on multiple fields ranging from education and science to public matters and business while co-authoring publications focusing on transportation optimization methods and e-mobility. He has years of experience successfully managing projects and bringing products to market. During his tenure, Rhoé reached profitability in under a year and has been widely recognized as one of the premier Greek start-ups in the fields of smart cities and mobility.

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Journal article
Published: 02 August 2021 in Future Transportation
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The transportation network design and frequency setting problem concerns the optimization of transportation systems comprising fleets of vehicles serving a set amount of passengers on a predetermined network (e.g., public transport systems). It has been a persistent focus of the transportation planning community while, its NP-hard nature continues to present obstacles in designing efficient, all-encompassing solutions. In this paper, we present a new approach based on an alternating-objective genetic algorithm that aims to find Pareto optimality between user and operator costs. Extensive computational experiments are performed on Mandl’s benchmark test and prove that the results generated by our algorithm are 5–6% improved in comparison to previously published results for Pareto optimality objectives both in regard to user and operator costs. At the same time, the methods presented are computationally inexpensive and easily run on office equipment, thus minimizing the need for expensive server infrastructure and costs. Additionally, we identify a wide variance in the way that similar computational results are reported and, propose a novel way of reporting benchmark results that facilitates comparisons between methods and enables a taxonomy of heuristic approaches to be created. Thus, this paper aims to provide an efficient, easily applicable method for finding Pareto optimality in transportation networks while highlighting specific limitations of existing research both in regards to the methods used and the way they are communicated.

ACS Style

Theocharis Vlachopanagiotis; Konstandinos Grizos; Georgios Georgiadis; Ioannis Politis. Public Transportation Network Design and Frequency Setting: Pareto Optimality through Alternating-Objective Genetic Algorithms. Future Transportation 2021, 1, 248 -267.

AMA Style

Theocharis Vlachopanagiotis, Konstandinos Grizos, Georgios Georgiadis, Ioannis Politis. Public Transportation Network Design and Frequency Setting: Pareto Optimality through Alternating-Objective Genetic Algorithms. Future Transportation. 2021; 1 (2):248-267.

Chicago/Turabian Style

Theocharis Vlachopanagiotis; Konstandinos Grizos; Georgios Georgiadis; Ioannis Politis. 2021. "Public Transportation Network Design and Frequency Setting: Pareto Optimality through Alternating-Objective Genetic Algorithms." Future Transportation 1, no. 2: 248-267.