Niccolò Baldanzini

Professor

Università degli Studi di Napoli Federico II

Italy

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About

Niccolò Baldanzini is a Professor at Università degli Studi di Firenze, Italy. His research areas include high-performance electric vehicles, road safety enhancements through technology, and the analysis of motorcycle crash dynamics. Recent publications focus on topics such as the effectiveness of protective devices in road safety, emergency braking systems for motorcyclists, and innovative methods for estimating impact forces in motorcycle accidents.

Articles (12)

Year:

2025

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2025

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2024

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2023

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2023

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2022

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2022

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2022

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2021

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2021

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2021

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2020

Collaborators (4)

Marco Pierini

University of Florence

ITALY

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Giovanni Savino

MONASH UNIVERSITY

AUSTRALIA

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Trevor Allen

MONASH UNIVERSITY

AUSTRALIA

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luca pugi

Associate Professor

University of Florence

ITALY

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Niccolò Baldanzini

Research Interests

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About

Articles (12)

A Finite Element Analysis of a Lithium-Ion Battery Cell Under Abuse Conditions

Analysis of Gearbox Losses for High-Performance Electric Motorcycle Applications

An enhanced method for evaluating the effectiveness of protective devices for road safety application

Does ABS ensure good performance in emergency braking for less skilled motorcyclists?

Testing the acceptability of motorcycle-AEB system: Use of unanticipated interventions as a reliable surrogate of genuinely unexpected events

Motorcycle curve assist: A novel approach based on active speed control for crash injury reduction

Estimation of Head Accelerations in Crashes Using Neural Networks and Sensors Embedded in the Protective Helmet

Feasibility study for the estimation of a motorcycle helmet Centre of Gravity accelerations with 6 Degrees of Freedom (6DOF) system

Human error in motorcycle crashes: A methodology based on in-depth data to identify the skills needed and support training interventions for safe riding

Field testing the applicability of motorcycle autonomous emergency braking (MAEB) during pre-crash avoidance maneuver

Investigating the feasibility of motorcycle autonomous emergency braking (MAEB): Design criteria for new experiments to field test automatic braking

Loss of Control Prediction for Motorcycles during Emergency Braking Maneuvers Using a Supervised Learning Algorithm

Collaborators (4)

Marco Pierini

Giovanni Savino

Trevor Allen

luca pugi

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