Dynamic traffic lanes strategy management in smart city

Integrated domains, urban mobility, information and communication technologies (ICT), advanced parking solutions, and the shared economy drive the evolution of smart city ecosystems. This paper explores the strategic management of digitized urban street lanes as a transformative tool to improve traffic efficiency and overall city security. Traditional lane configurations are typically static, denoted as (n+n), where (n) lanes are permanently assigned to each direction. This assumes symmetric traffic distribution, which fails for real-time directional imbalances. Our approach defines two dynamic directional lane vectors {A}and {B} representing the active lane allocations, with (i+j=2n), the total number of available lanes. This allows real-time reallocation based on sensed traffic asymmetry. Our methodology transcends mere technological deployment, targeting infrastructure redesign for improved adaptability, security, and resilience. The proposed model enables streets to respond fluidly to dynamic demand, mitigating congestion, reducing fuel consumption and emissions, and reclaiming valuable urban time otherwise lost in traffic. A real-life case study illustrates the methodology's feasibility. We further validate our concept using a modified Nagel-Schreckenberg cellular automaton simulation enriched with game theory principles. This methodology provides a scalable path toward safer, more sustainable, and strategically managed urban infrastructure.