MODyPer: Multi-Objective Dynamic Personalized Route Planning for Vulnerable Road Users

Urban mobility is increasingly shifting towards sustainable modes of transportation, such as walking and cycling, necessitating intelligent route planning systems that cater to dynamic user preferences. This paper introduces MODyPer, a novel graph-based framework designed to optimize route recommendations for vulnerable road users (i.e., pedestrians and cyclists) by integrating multiple objectives, including travel distance, comfort, and environmental criteria. Unlike existing systems that prioritize single objectives (e.g., shortest path), our framework incorporates personalized weighting mechanisms, allowing users to define their preferences dynamically. We applied MODyPer to two real-world urban scenarios of Italian cities, demonstrating its effectiveness in balancing competing objectives while providing timely, user-centric routing.