A navigation framework for bicycle riders based on environmental and contextual factors

Urban scenarios present various concerns to micromobility users such as cyclists, which are an important part of the mobility infrastructure. As smarter cities increasingly focus on enhancing citizen well-being and infrastructure efficiency, navigation systems have primarily been designed for car drivers, with a focus on traffic conditions, while disregarding metrics that are important for micromobility users. As a matter of fact, they tend to privilege other aspects of their journey that enhance its comfort, rather than the mere path length. To address this gap, this paper presents a holistic architectural framework for micromobility-oriented navigation systems, incorporating nominal, data-driven and crowdsensed metrics in the loop. The paper presents the definition of metrics and a real world case study for each category of metrics, providing a real implementation. We demonstrate the effectiveness of our approach in a controlled environment before implementing and deploying the complete system in a real-world city, where we provide a detailed analysis of the results.