Design of a Cycling Route Conditioned by Urban Infrastructure: Application of the A* Algorithm

Carlo B.; Adrian C.; Alex S. · Smart Innovation, Systems and Technologies (2026) · DOI: 10.1007/978-3-032-24262-4_26

Resumen

Urban road infrastructure has traditionally prioritized motorized transport, often neglecting the connectivity, safety, and continuity required for effective cycling networks. This study presents a methodology for designing optimal bicycle routes between two urban points, integrating not only distance but also slope, pavement condition, traffic intensity, and accident risk. The A* algorithm is applied to generate alternative paths, which are evaluated using a multicriteria cost function and a technical assessment matrix that considers road continuity, construction feasibility, and cyclist safety. The methodology is tested through a case study involving a route that connects a major arterial road (Alfonso Ugarte Ave.) with a minor local street (Jirón Cañete). Results indicate that while both segments offer favorable conditions for cycling infrastructure, the intersection along the major road requires substantial structural interventions due to high traffic volumes and limited cyclist protection. In contrast, the minor road segment presents fewer conflicts and greater implementation feasibility. Spatial analysis and field validation confirm the robustness of the proposed approach, demonstrating its potential to reduce risk exposure and improve route efficiency without relying solely on descriptive diagnostics. This methodology offers a practical, reproducible framework for decision-making in urban mobility planning, promoting safer and more sustainable cycling infrastructure. Further research is recommended to validate its applicability across diverse urban contexts. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2026.

Instituciones: Universidad Peruana de Ciencias Aplicadas