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Urban traffic management - a case study of the city of Rijeka (CROSBI ID 715659)

Prilog sa skupa u zborniku | sažetak izlaganja sa skupa | međunarodna recenzija

Vilke, Siniša ; Tadić, Frane ; Grubišić, Neven ; Ćelić, Jasmin Urban traffic management - a case study of the city of Rijeka // Optimization in Artificial Intelligence and Data Science, Book of Abstracts, Springer / Amorosi, Lavinia ; Bompiani, Edoardo ; Dell’Olmo, Paolo (ur.). Rim: Springer, 2021. str. 199-199

Podaci o odgovornosti

Vilke, Siniša ; Tadić, Frane ; Grubišić, Neven ; Ćelić, Jasmin

engleski

Urban traffic management - a case study of the city of Rijeka

The scientific research project Connected Traffic will establish quality solutions in urban and multimodal transport of the city of Rijeka and promote sustainable, clean and energy-efficient modes of transport. The aim of this paper is to present research and development activities as well as the existing results of the Connected Traffic project related to the improvement of traffic management in the city of Rijeka. In order to ensure the sustainability of urban transport in the city of Rijeka, the application of energy efficiency measures and the reduction of primary energy consumption and emissions of carbon dioxide and other harmful gasses is required. The methodology applied in research activities consists of modelling the transport netwok of the city of Rijeka, measuring and analyzing traffic, meteorological and environmental parameters in order to achieve the base traffic scenario and performing the traffic simulations of different corridors and sections. The research development will improve the work of the traffic management center in the city of Rijeka through the Center for Monitoring and Management of Integrated Traffic. Thus, a platform for data aggregation in the decision-making function in urban transport and urban mobility will be implemented ensuring the automatic and real-time distribution of data to all traffic participants. For urban traffic flows simulation at corridors and sections in the city of Rijeka the software Aimsun 8.1. for traffic planning, simulation and prediction is used.

intelligent transport systems, urban traffic management, transport network modelling, traffic flow simulation, city of Rijeka

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Podaci o prilogu

199-199.

2021.

objavljeno

Podaci o matičnoj publikaciji

Optimization in Artificial Intelligence and Data Science, Book of Abstracts, Springer

Amorosi, Lavinia ; Bompiani, Edoardo ; Dell’Olmo, Paolo

Rim: Springer

Podaci o skupu

International Conference on Optimization and Decision Science (ODS 2021)

predavanje

14.09.2021-17.09.2021

Rim, Italija

Povezanost rada

Tehnologija prometa i transport