Cellular Automata-Based System for Traffic and Parking Management in Urban Centers.

Urban transport is a complex and dynamic system that affects the productivity, economy, and environment of cities. Traffic congestion and parking are two major challenges that urban transport faces, as they reduce the efficiency and capacity of the road network and cause delays and pollution. In this paper, we propose a novel system for traffic modeling and parking space management in urban centers, based on Cellular Automata (CAs). The system simulates the movement of vehicles on the road and allows drivers to find and reserve parking spaces in real time. Moreover, real data from the center of Alexandroupoli City in Greece have been used as a study case for the proposed system. The system incorporates various features to make the traffic model more realistic, such as intersections, traffic lights, multi-lane, parking procedure, and vehicle sizes. The paper demonstrates how the proposed system can prevent traffic congestion and, moreover, improve parking availability in urban areas. [ABSTRACT FROM AUTHOR]