Personal mobility vehicles, their various components, methods and systems for controlling, using, tracking, and/or interacting with personal mobility vehicles, and methods and systems for integrating personal mobility vehicles within dynamic transportation networks so that a personal mobility vehicle (PMV) can be used in combination with a vehicle of a transportation provider to efficiently complete a transportation request are discussed. For example, a PMV may be used in combination with a lane-constrained vehicle to improve travel time between two locations in situations where the time it may take for a lane-constrained vehicle to reach the starting location may be affected by traffic congestion at the starting location. The PMV may transport a transportation requestor from a starting location to an intermediate location away from the traffic congestion to then transfer to a lane-constrained vehicle for the remainder of the trip.

The disclosed computer-implemented method may include routing personal mobility vehicles based on road or path conditions. In some embodiments, trip routing for personal mobility vehicles participating in a dynamic transportation network may leverage road condition map data gathered from personal mobility vehicle sensors to evaluate potential routes for personal mobility vehicles. In some examples, the method may account for the type and/or characteristics of the personal mobility vehicle when evaluating a potential route. In some examples, the method may account for user preferences when evaluating a potential route. The method may also make matching decisions for a dynamic transportation matching system and/or personal mobility vehicle distribution decisions for the dynamic transportation network based on the conditions of prospective routes. Various other methods, systems, and computer-readable media are also disclosed.

The disclosed computer-implemented method may include improving safety in operating personal mobility vehicles. The method may track and/or control personal mobility vehicles associated with dynamic transportation networks. The method may improve safety related to PMV operation by taking advantage of the various sources and types of information related to PMV operation that are available in the dynamic transportation network. Other methods, systems, and computer-readable media are disclosed.

Personal mobility vehicles, their various components, methods and systems for controlling, using, tracking, and/or interacting with personal mobility vehicles, and methods and systems for integrating personal mobility vehicles within dynamic transportation networks so that a personal mobility vehicle (PMV) can be used in combination with a vehicle of a transportation provider to efficiently complete a transportation request are discussed. For example, a PMV may be used in combination with a lane-constrained vehicle to improve travel time between two locations in situations where the time it may take for a lane-constrained vehicle to reach the starting location may be affected by traffic congestion at the starting location. The PMV may transport a transportation requestor from a starting location to an intermediate location away from the traffic congestion to then transfer to a lane-constrained vehicle for the remainder of the trip.

There is provided a control device configured to perform a collision preventing control based on an output of an obstacle detection unit. A risk level determination unit determines a collision risk level based on a distance between the obstacle and the electric vehicle. A control level adjustment unit adjusts a control level of the collision preventing control based on the collision risk level. The control level adjustment unit lowers the control level when a releasing unit configured to temporarily release the collision preventing control is operated by a driver during the collision preventing control and causes the electric vehicle to display presence of the obstacle.

The disclosed computer-implemented method may include automated signaling for networked personal mobility vehicles (PMVs). In some embodiments, a system may identify a PMV in use by a transportation requestor taking a trip. The system may also predict one or more actions of the PMV based on navigational data for the trip. Additionally, the system may select one or more signals corresponding to a predicted action of the PMV. In some embodiments, the system may determine, based on a current state of the PMV, that the predicted action of the PMV will be initiated within a time frame. Furthermore, the system may send a start command to the PMV to initiate a signal in response to determining the predicted action will be initiated. Various other methods, systems, and computer-readable media are also disclosed.

A measurement of the rotation speed of an object is made using a time-of-flight sensor configured to detect a passing of one or more of elements of the object through a given position. The time-of-flight sensor is further mounted on a one-person vehicle configured to protect the one-person vehicle against collisions through the making a time-of-flight measurement of a relative speed between the one-person vehicle and an obstacle.

The disclosed computer-implemented method may include matching transportation requests to personal mobility vehicles. A dynamic transportation network may incorporate different types of vehicles, such as bicycles and/or scooters. Certain vehicles may have advantages over other vehicles in certain contexts but be disadvantageous in others. For example, a dynamic transportation matching system may match a user transporting a bulky package with a basket-equipped bike rather than a scooter without a basket. Moreover, the dynamic transportation matching system may account for a wide variety of other factors, including but not limited to route features, ambient conditions, and vehicle status when matching a transportation requestor to a specific vehicle. Moreover, some systems may account for vehicle wear-and-tear, battery power levels, operational status, etc. to avoid matching users vehicles that would be unable to fulfill a transportation request. Various other methods, systems, and computer-readable media are also disclosed.

Disclosed is an autonomous scooter for personal use for riders to ride hands free since the autonomous scooter drives itself, or they can drive it manually. Respectively the autonomous scooter comprising an autonomous driving mode for personal use or for commercial use to travel to the ideal destination and origin plans where the rider can rent one or more autonomous scooters, and the rider can leave the A-Scooter wherever their destination is. The autonomous scooter is virtually controlled from a control center through tele-communication or a network server to robotically steer with or without a rider onboard. The autonomous scooter in which the rider stands up to ride and may opt to manual control the scooter or use the scooter with hands free during autonomous driving mode with respect to having stabilization to prevent tipping. The control center associated with a rental service plan and a battery charging service plan.

A device includes a battery case (42) that stores a battery (62A or 62B), a lock mechanism (133) that is capable of fixing and holding the stored battery (62A or 62B) in the battery case (42), and an operation member (44) that is capable of performing switching operation of the lock mechanism (133) between a battery-fixed state and a non-battery-fixed state. The lock mechanism (133) includes a movable block (160) which is supported by the battery case (42) in a displaceable manner. The movable block (160) has a battery restriction portion (160b or 160c) which restricts displacement of the battery (62A or 62B) in a separation direction in a state of being displaced to a battery fixing position, and a holding force receiving portion (160d) which receives a holding force for maintaining the movable block (160) at the battery fixing position from the operation member (44) in a state where the operation member (44) is operated within a predetermined positional range.