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Scientific Article details

Title Respecting the parking rules in city centres
ID_Doc 39859
Authors Ruzicka, J; Navrátilová, K; Tichy, T
Title Respecting the parking rules in city centres
Year 2019
Published
DOI 10.1109/scsp.2019.8805688
Abstract Problems of the stationary traffic are solved today by almost every larger town. Most of the towns suffer from an insufficient number of parking spots in the street network. It is at the same time very complicated and economically demanding to create new parking areas, so the towns try to use the existing parking areas as efficiently as possible. The objective is thus to apply systems and technologies for efficient use of existing parking spaces, and also to monitor parking occupancy, distribute information to drivers, and apply various payment systems (parking meters, SMS payments an mobile applications) in order to facilitate the collection of payments from drivers. Within Smart City applications, it is necessary to consider not only parking aspects but also organisational aspects. Installation of Smart parking components is senseless, unless these components are accepted by user/driver and unless continuous traffic surveys are performed oriented in parking checks in the town. This article monitors the course and results of an extensive traffic survey oriented mainly in respecting the parking rules. In the centre of Uherske Hradiste, there are many specific parking spaces, 3 major paid parking zones, designated spaces at selected institutions, designated spaces for time-limited free parking, etc. The article describes in details the experience from the traffic survey oriented in respecting the parking rules in the town and subsequently proposed measures and suggestions how to make the existing state in the town more efficient with respect to the Smart City concept.
Author Keywords Intelligent parking; smart city; monitoring parking occupancy; parking management; rate of movement; respecting the parking rules
Index Keywords Index Keywords
Document Type Other
Open Access Open Access
Source Conference Proceedings Citation Index - Science (CPCI-S); Conference Proceedings Citation Index - Social Science & Humanities (CPCI-SSH)
EID WOS:000519240800020
WoS Category Computer Science, Artificial Intelligence; Computer Science, Interdisciplinary Applications; Urban Studies
Research Area Computer Science; Urban Studies
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