PedSlope: aplicativo mobile para roteamento de pedestres com otimização de distância e inclinação usando React Native, Python E OSMnx

Abstract

Active mobility in urban centers faces the challenge of balancing short routes with acceptable physical effort, especially in cities with hilly terrain. Physiological studies indicate that the metabolic cost of walking increases non-linearly with the rise in incline. To mitigate this problem, this work proposes PedSlope, a pedestrian navigation system that simultaneously calculates the shortest route and the route with the least slope. The solution uses OSMnx to extract and build walking graphs from OpenStreetMap, preserving accessibility attributes. Elevation data is incorporated into the nodes via Open-Elevation, allowing the derivation of the ramp's tangent as an edge weight. On these graphs, Dijkstra's algorithm is run with distinct cost functions, as enabled by the OSMnx-NetworkX integration. The mobile interface in React Native consumes the routes through a REST API, displaying them on interactive maps with real-time geolocation. In this way, PedSlope aims to contribute to the promotion of sustainable mobility.