Dynamic Management of Urban Coastal Traffic and Port Access Control

Konstantina P. Marousi () and Yorgos J. Stephanedes
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Konstantina P. Marousi: Department of Civil Engineering, School of Engineering, University of Patras, 26500 Rio, Greece
Yorgos J. Stephanedes: Department of Civil Engineering, School of Engineering, University of Patras, 26500 Rio, Greece

Sustainability, 2023, vol. 15, issue 20, 1-20

Abstract: Urban traffic congestion and vehicle/passenger port recurring delays are major obstacles of coastal urban area sustainability. Most research in coastal urban road management has focused on congestion detection without the effective integration of the dynamic interactions with port queueing systems. For securing coastal city environmental, social and economic efficiency, this paper develops and tests a dynamic urban coastal traffic and port management system. The integrated system controls traffic and port gates’ operations based on ITS/C-ITS methodologies. The system integrates dynamic models for congestion detection, using ANN and a parameterized model, on a coastal urban road network that leads to a city port and identifies optimal solutions for road traffic and port queuing gate control. The system communicates with users via connected vehicles and VMS. The system was tested in a coastal urban road leading to Patras Southern Port, Greece, and at port control gates. Field and simulation data were used to assess system performance and social–environmental impacts. The results reveal that the system’s application offers benefits to the individual driver moving towards the Port to board a ship (gaining at least 7 min and consuming 0.306 L less fuel) as well as to society (39.72% increase in traffic safety) and environment (1,445,132 g CO 2 emission reduction).

Keywords: urban traffic congestion detection; ANN; traffic management; urban road network; port control gates management; queuing systems; ITS; C-ITS (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2023
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