Abstract

The main purpose of this paper was to analyse and describe vehicular queues created because of waiting time needed for vehicles to be boarded on ferries during the main tourist (summer) season in the Republic of Croatia. Since optimization of such large and high scale offer and demand system, including both road traffic and ferry infrastructure, could not have been tested in real time conditions, the main idea was to conduct analysis using computer based simulation model. Additionally, optimization of the overall system inelasticity has been conducted based on implementation of the Ferry Que Management System (FQMS). Simulation output analysis indicated the FQMS implementation to be feasible for most of analysed ferry lines but at the same time, it clearly indicated that each ferry line requires individual approach for an optimal solution to be found. The simulation output analysis also provided a clear indication of optimization limitations defined by input values.

Highlights

  • Analysis and que management systems generally represent a well-known scientific field but intensive technological, technical and cultural development of human society undoubtedly led to the development of different types of queues each requiring diverse analysis approach

  • Best optimization results were achieved on ferry lines with low capacity and high frequency, i.e. ferry line Jablanac–Merag

  • But still significant optimization results were achieved on ferry lines with low capacity and medium frequency, i.e. ferry line Biograd–Tkon as well as on ferry lines with medium capacity and medium frequency, i.e. ferry lines Split–Supetar and Prizna–Žigljen

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Summary

Introduction

Analysis and que management systems generally represent a well-known scientific field but intensive technological, technical and cultural development of human society undoubtedly led to the development of different types of queues each requiring diverse analysis approach. Que management systems have been successfully applied on a wide area starting from “in facilities” que management systems used in banks, supermarkets, hospitals and other places providing various services to people. They have been successfully applied for regulation of vehicular traffic flows on both microscopic (intersection) and mesoscopic (intersection grid) scale like the best-known and widely used Sydney Coordinated Adaptive Traffic System (SCATS) [13, 6÷9, 20] and Split Cycle Offset Optimization Technique (SCOOT) [6, 7, 9, 15, 20]. The purpose of this paper is to examine que management phenomenon on all three levels at the same time, forming a specific and unique scientific approach in the field of que management analyses

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