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Mr. Konstandinos Grizos
Rhoé Urban Technologies

Basic Info

Basic Info is private.

Research Keywords & Expertise

0 Genetic Algorithms
0 Public Transport Planning
0 Route Optimization
0 Sustainable mobility planning
0 Transportation networks

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Short Biography

I am a Civil Engineer with specialization in Transportation Planning, and graduated from Aristotle University of Thessaloniki in 2020. My interests span in various fields, including sustainable urban planning, mobility technologies and IT Engineering. I enjoy being a volunteer and currently am one at the Hellenic Model United Nations Organization and at the Municipal youth Council of Thessaloniki. Since 2016 I have been devoted to my start-up, Rhoé, along with 5 fellow Engineers. I am able to express my creativity and interest in Transportation Planning and in the field of Smart Cities' solutions by combining it with IT. Currently I am the Head Developer and CTO of Rhoé but I also have worked both in business and R&D.

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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.