Lidé na fakultě
Ing. Adéla Johanidesová

2024, Neural Network World, 34 (4), p. 243-262), ISSN 2336-4335

This paper presents a novel tool for optimising residential parking allocation in urban environments using linear programming techniques. The tool addresses the growing challenge of parking space management in cities by quantifying parking utilisation and accessibility. It employs a unique application of the transport problem from Graph Theory to allocate parking supply to household demand while considering real-world constraints such as walking distances and infrastructure limitations. The methodology involves the pre-processing of supply, demand, and distance matrix data, followed by an optimization process that minimises total walking distance and penalises unmet demand. The tool’s effectiveness is demonstrated through an experiment in the Czech town of Slan´y, showcasing its ability to evaluate current parking situations and assess the impact of potential changes in parking supply. Key outputs include the percentage of satisfied demand, utilization rates of parking supply, and detailed allocation maps. This approach provides urban planners and policymakers with valuable insights for developing efficient and sustainable parking solutions, while also highlighting areas for further research in data preparation and model refinement.

Článek v periodiku excerpovaném SCI Expanded

2018, International Journal of Integrated Engineering, 10 (2), p. 43-48), ISSN 2229-838X

In 2015 the Czech Technical University in Prague carried out a safety inspection on the TEN-T road network in the Czech Republic and on the selected 1st class roads (in the future they are intended to replace the planned TEN-T network). This article is designed to provide a basic overview of the most common problems in terms of both the frequency with which these risks occur and their significance. This article will also present a newly developed web application, CEBASS, which gives road operators an effective and systematic tool to manage the process of solving these problems. The aim of this article is to describe the classification created and used during the safety inspection course, which is better for road operators than the existing methods for safety inspections.

Článek v periodiku excerpovaném databází Scopus

2017, Internationales Verkehrswesen, 69. (3), p. 22-27), ISSN 0020-9511

Die Tschechische Technische Universität in Prag führte im Jahr 2015 eine Sicherheitsinspektion auf dem TEN-T-Netz in der Tschechischen Republik sowie auf ausgewählten Straßen 1. Klasse durch, die das geplante TEN-T-Netz ersetzen sollen. Der Beitrag fokussiert auf die grundlegende Übersicht der häufigsten Mängel und gleichzeitig auf die neue entwickelte Web-Anwendung CEBASS, die dem Straßenverwalter ein effektives und systematisches Management beim Prozess der Mängelbeseitigung ermöglicht. Er beschriebt die bei der Sicherheitsinpektion entwicklekte Klassifikation, die sich im Vergleich zur herkömmlichen Methode besser für die Durchführung von Sicherheitseinspektionen eignet.

Článek v odborném recenzovaném periodiku