Advanced assistance systems are crucial for enhancing light electric vehicles safety, energy efficiency, and user experience. Accordingly, this Chapter investigates the development of functionalities that jointly monitor the urban environment, the road conditions, and the vehicle dynamics to inform safety measures such as rider alerts and adaptive speed control. Then, it also explores different strategies to promote rider experience by considering rider physiological data to find the best trade-off between electric and human power, minimize battery discharge, and maximize riding enjoyment. Last, it discusses the customization of the riders’ experience by considering rider preferences, habits, and driving styles. For each of these core areas, we will analyze the strengths and limitations of existing literature approaches and presents novel solutions that we have recently designed to address the identified gaps.