Systems, methods, and non-transitory computer readable media configured to provide three-dimensional representations of routes. Locations for a planned movement may be obtained. The location information may include tridimensional information of a location. Route information for the planned movement may be obtained. The route information may define a route of one or more entities within the location. A three-dimensional view of the route within the location may be determined based on the location information and the route information. An interface through which the three-dimensional view of the route within the location is accessible may be provided.

Autonomous vehicle operational management may include traversing, by an autonomous vehicle, a vehicle transportation network. Traversing the vehicle transportation network may include operating a scenario-specific operational control evaluation module instance, wherein the scenario-specific operational control evaluation module instance is an instance of a scenario-specific operational control evaluation module, wherein the scenario-specific operational control evaluation module implements a partially observable Markov decision process. Traversing the vehicle transportation network may include receiving a candidate vehicle control action from the scenario-specific operational control evaluation module instance, and traversing a portion of the vehicle transportation network based on the candidate vehicle control action.

The present invention is an information management apparatus, capable of communicating with a plurality of vehicles, the apparatus comprising a receiving unit for receiving information indicating an occurrence of a failure in one vehicle of the plurality of vehicles, from the one vehicle, and a transmission unit for transmitting information based on the failure to the other vehicles of the plurality of vehicles, thereby, a recurrence of a similar failure in a predetermined region can be appropriately prevented.

An electric scooter with a lighting system that includes a rear mounted light that projects light upward and toward the front of the scooter to illuminate the back of a rider, and side lights that project light to illuminate the sides of a scooter. The lighting system employs a multi-faceted approach to vary intensity and effects for improved visibility in traffic. The light system can be configured to automatically illuminate or change effects in response to road or environmental conditions, or in response to existing or future roadway infrastructure such as autonomous traffic infrastructure or adaptive traffic control systems. The light system may also be integrated with the braking system for signaling a slow down or stop. The system may be controlled by communication between an onboard processor and a personal computing device such as a smart phone that can be docked on the scooter and provide display of information and a means of input.

Technologies and techniques for quality determination for a traffic system. First traffic parameter data is acquired from the traffic system, indicative of a parameter of the traffic system. Second traffic parameter data is acquired, indicative of another parameter of the traffic system, wherein the second traffic parameter data originate from a plurality of traffic participants. The parameter from the first traffic parameter data and second traffic parameter are obtained, wherein the parameter obtained from the first traffic parameter data is compared to the parameter obtained from the second traffic parameter data in order to determine the quality of the first traffic parameter data.

A first imaging section 201 captures an image of the vehicle exterior, and a second imaging section 202 captures an image of a driver. An image processing section 203 detects the driver's line of sight. An information acquisition section 205 acquires status information indicative of the surrounding environment. A driving parameter information generation section 206 generates driving parameter information by use of, as parameter information, the current position detected by a self-position detection section 204, travel control information generated by a travel control section, information indicative of the driver's line of sight, information indicative of the surrounding environment, and the like. A determination section 209 determines whether there is a danger on the basis of a difference between the driving parameter information indicative of the state of the vehicle or of its driver on one hand, and optimum parameter information indicative of an optimum state of the vehicle or of its driver in the current position and in the current surrounding environment on the other hand. An information presentation section 214 presents driving assistance information on the basis of a result of the determination. On the basis of the determination result, a travel control section 210 provides traveling assistance such as to reduce the difference in parameter information. The present technology enables appropriate driving assistance.

Methods and systems for autonomous vehicle recharging or refueling are disclosed. Autonomous vehicles may be automatically refueled by routing the vehicles to available fueling stations when not in operation, according to methods described herein. A fuel level within a tank of an autonomous vehicle may be monitored until it reaches a refueling threshold, at which point an on-board computer may generate a predicted use profile for the vehicle. Based upon the predicted use profile, a time and location for the vehicle to refuel the vehicle may be determined. In some embodiments, the vehicle may be controlled to automatically travel to a fueling station, refill a fuel tank, and return to its starting location in order to refuel when not in use.

In a system, a parallel-parking number that is the number of the parking spaces aligned in the parallel-parking direction is acquired for each parking area. A vacancy number that is the number of vacant parking spaces is acquired for each parking area. Based on the parallel-parking number, a vacancy number threshold value is calculated that is a threshold value of the vacancy number for calculating a priority of each parking area, in one of which an automated-parking-target vehicle is to be parked. The priorities are calculated such that the priority of a parking area with the vacancy number equal to or larger than the vacancy number threshold value is higher than the priority of a parking area with the vacancy number smaller than the vacancy number threshold value. The automated-parking-target vehicle is caused to park preferentially in a parking space in the parking area with the higher priority.

A system for navigation and ride hailing that provides options for navigating traffic through express lanes or the like. Information, such as express lane profile information, toll price information for the express lane during a period, and traffic information along one or more paths may be used to determine the fastest options along to a destination at different toll price points.

The present invention relates to systems and methods that allocate, arrange, and distribute certain types of functions and intelligence, for connected automated vehicle highway (CAVH) systems, to facilitate vehicle operations and controls, to improve the general safety of the whole transportation system, and to ensure the efficiency, intelligence, reliability, and resilience of CAVH systems. The present invention also provides methods to define CAVH system intelligence and its levels, which are based on two dimensions: the vehicle intelligence and infrastructure intelligence.