The growing trend toward electric personal mobility vehicles introduces new partic-ipants in the world of mobility, giving new challenges and new potential hazards totraditional road users. This fast growth has also given hard times to road regula-tors to follow the trend which generated a lack of rules, especially due to a lack ofknowledge on the behavior of these vehicles and their users.The goal of this thesis was to develop a data collection and data analysis procedureto objectively compare these vehicles.Four vehicles were chosen to be tested: a conventional bike, an e-bike, an e-scooter,and a segway. A set of four different maneuvers was developed to simulate real-worldriding scenarios: 1) a "gentle" and 2) a "harsh" maneuver to evaluate the longitudinalbehavior of these vehicles, 3) a "slalom" maneuver to evaluate the lateral motion and4) an "unexpected" maneuver to evaluate the rider’s reaction after an unpredictedevent.