The present disclosure relates to navigational systems, devices, and methods for preparing route guidance information that incorporates user needs—and ensures fulfilment of those needs under a variety of conditions. In particular, this disclosure relates to preparing route guidance information that ensures a user is directed along a route that includes stops where various needs such as e.g. medical, food, or water can be met while also minimizing traffic. Such a system may be useful, for example, when evacuating from a metro region in the face of an oncoming natural disaster such as a hurricane.

Techniques enable selection of traffic cameras for display to a user, where the techniques involve determining a primary route and an alternate route, determining a first intersection between the primary route and the alternate route, and obtaining camera metadata identifying multiple cameras, where the camera metadata defines aspects such as positioning data, direction, status data, and image data for individual traffic cameras. The techniques also involve determining a priority score for individual cameras using the camera metadata, where the priority score is based, at least in part, on proximity to the first intersection between the primary route and the alternate route. The techniques then involve selecting at least one traffic camera based on the priority score of the camera and communicating image data of the camera for display on a display device.

An information processing apparatus executes: acquiring whether or not a first user permits another user to ride in a first vehicle; acquiring whether or not a second user is matched with each of vehicles; regarding, as the first vehicle, a vehicle which is among the vehicles and with which the second user is not matched, and matching the first vehicle with the first user, when the first user requests a ride in the first vehicle and does not permit another user to ride in the first vehicle; and not permitting the other user to be matched with the first vehicle, after matching the first user with the first vehicle.

An information processing apparatus includes a controller. The controller determines, based on a preference of a user of a vehicle that enters a parking lot adjacent to a complex facility having a plurality of shops and a plurality of facility entrances, a shop to be used by the user from among the plurality of shops. The controller determines an entrance to be used by the user from among the plurality of facility entrances based on a position of the shop to be used, and outputs a position of the entrance to be used to the vehicle.

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.

A roadway complexity awareness system for a vehicle, comprising a processor, an augmented reality interface disposed in communication with the processor, and a memory for storing executable instructions. The processor is programmed to execute the instructions to receive roadway status information from an infrastructure processor associated with a roadway, obtain, from a vehicle sensory system, sensory information indicative of roadway route complexity, and determine a likelihood of roadway route complexity based on the roadway status information and the sensory information. The system may select an augmented reality message indicative of the roadway route complexity, and generate the augmented reality message using an augmented reality interface device, wherein the augmented reality message is visible to a vehicle operator.

A path providing device configured to provide a path information to a vehicle includes: a communication unit configured to receive, from a server, map information including a plurality of layers of data, an interface unit configured to receive sensing information from one or more sensors disposed at the vehicle, a processor, and an event data recorder (EDR) configured to store vehicle status information including first sensor data sensed by a first sensor associated with an operation of the vehicle, and second sensor data sensed by a second sensor associated with surrounding information of the vehicle. The processor is configured to determine an optimal path for guiding the vehicle from an identified lane, generate autonomous driving visibility information, update the optimal path based on dynamic information and the autonomous driving visibility information, and include the vehicle status information stored in the EDR in the autonomous driving visibility information.

A server includes a processor, programmed to receive a vehicle location from a vehicle, receive a weather condition of the vehicle location from a cloud server, responsive to receiving a calendar of a user including an event, calculate a departure time based on the vehicle location and a location of the event, responsive to receiving a desired cabin temperature of the user from a mobile device, calculate a minimum time for the vehicle to reach the desired cabin temperature based on the weather condition, calculate a vehicle start time using the departure time and the minimum time, and send an instruction to the vehicle to start at the vehicle start time.

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 managing a fleet of vehicles having autonomous or semi-autonomous control based upon real-time data analysis of live driving conditions including traffic conditions, weather conditions, pollution conditions, vehicle operations, vehicle emissions, legal restrictions, and fleet conditions. Older vehicles may be retrofitted with partial or total compatibility with the system via an aftermarket dongle that connects to the vehicle through a diagnostic port.