RT Journal Article
T1 Understanding Traffic Congestion via Network Analysis, Agent Modeling, and the Trajectory of Urban Expansion: A Coastal City Case
A1 Amézquita López, Julio
A1 Valdés Atencio, Jorge
A1 Angulo García, David
AB The study of patterns of urban mobility is of utter importance for city growth projectionand development planning. In this paper, we analyze the topological aspects of the street networkof the coastal city of Cartagena de Indias employing graph theory and spatial syntax tools. We findthat the resulting network can be understood on the basis of 400 years of the city’s history andits peripheral location that strongly influenced and shaped the growth of the city, and that thestatistical properties of the network resemble those of self-organized cities. Moreover, we study themobility through the network using a simple agent-based model that allows us to study the level ofstreet congestion depending on the agents’ knowledge of the traffic while they travel through thenetwork. We found that a purely shortest-path travel scheme is not an optimal strategy and thatassigning small weights to traffic avoidance schemes increases the overall performance of the agentsin terms of arrival success, occupancy of the streets, and traffic accumulation. Finally, we argue thatlocalized congestion can be only partially ascribed to topological properties of the network and thatit is important to consider the decision-making capability of the agents while moving through thenetwork to explain the emergence of traffic congestion in the system.
PB MDPI
SN 2412-3811 (electrónico)
YR 2021
FD 2021
LK http://hdl.handle.net/10272/20194
UL http://hdl.handle.net/10272/20194
LA eng
NO Amézquita-López, J.; Valdés-Atencio, J.; Angulo-García, D. Understanding Traffic Congestion via Network Analysis, Agent Modeling, and the Trajectory of Urban Expansion: A Coastal City Case. Infrastructures 2021, 6, 85. https:// doi.org/10.3390/infrastructures6060085
DS Repositorio Institucional de la Universidad de Huelva
RD 30 may 2026