The present disclosure relates to systems, non-transitory computer-readable media, and methods for determining data collection values for enhanced sensor provider vehicles in a provider vehicle pool and utilizing the data collection values to select and dispatch a provider vehicle for a transportation request. In particular, in one or more embodiments, the disclosed systems determine data collection values based on various route features for a particular enhanced sensor provider vehicle. Additionally, in one or more embodiments, the disclosed systems can utilize the data collection values in conjunction with a device matching algorithm and transportation values to select and dispatch a provider vehicle. Further, in some embodiments, the disclosed systems utilize collected sensory data to train one or more computer implemented machine learning models, such as an autonomous vehicle driving model.

Techniques are provided for autonomous vehicle fleet management for reduced traffic congestion. A request is received for a vehicular ride. The request includes an initial spatiotemporal location and a destination spatiotemporal location. A processor is used to generate a representation of lane segments. Each lane segment is weighted in accordance with a number of other vehicles on the lane segment. A vehicle located within a threshold distance to the initial spatiotemporal location is identified such that the identified vehicle has at least one vacant seat. The processor is used to determine a route for operating the identified vehicle from the initial spatiotemporal location to the destination spatiotemporal location. The route includes one or more lane segments of the lane segments. An aggregate of weights of the one or more lane segments is below a threshold value. The received request and the determined route are transmitted to the identified vehicle.

The present disclosure provides a system, method and associated apparatus for autonomous vehicle transportation. The system includes: an operation system configured to generate a transportation plan for a vehicle and transmit the transportation plan to a vehicle controller of the vehicle; and the vehicle controller configured to control, in accordance with the transportation plan, the vehicle to autonomously move to a position of a checkpoint at an entrance to a target highway port, and interact with a checkpoint controller corresponding to the position of the checkpoint for autonomously passing the checkpoint; and control the vehicle to autonomously move from the position of the checkpoint to a specified loading/unloading position in the target highway port, and interact with a loading/unloading control apparatus for autonomous loading/unloading at the loading/unloading position. The system, method and associated apparatus can achieve fully autonomous goods transportation, save transportation costs and reduce driving security risks.

Aspects of the present disclosure describe systems, methods, and devices for automated vehicular control based on glare detected by an optical system of a vehicle. In some aspects, automated control includes controlling the operation of the vehicle itself, a vehicle subsystem, or a vehicle component based on a level of glare detected. According to some examples, controlling the operation of a vehicle includes instructing an automatically or manually operated vehicle to traverse a selected route based on levels of glare detected or expected along potentials routes to a destination. According to other examples, controlling operation of a vehicle subsystem or a vehicle component includes triggering automated responses by the subsystem or the component based on a level of glare detected or expected. In some additional aspects, glare data is shared between individual vehicles and with a remote data processing system for further analysis and action.

A vehicle routing system includes a vehicle routing and analytics (VRA) computing device, one or more databases, and one or more vehicles communicatively coupled to the VRA computing device. The VRA computing device is configured to generate an optimal route for a vehicle to travel that maximizes potential revenue for operation of the vehicle, the optimal route including a schedule of a plurality of tasks, and generate analytics associated with operation of the vehicle. The VRA computing device is further configured to provide a management hub software application accessible by vehicle users associated with vehicles, tasks sources, and other users.

Some demonstrative embodiments include an apparatus, system and/or method related to system and method to optimize citywide traffic flow by privacy preserving scalable predictive citywide traffic load-balancing supporting, and being supported by, optimal zone to zone demand-control planning and predictive parking management

A server includes: a communication device configured to acquire information on a user who is to receive a physical exam, the information including a residence of the user and an examination item of the user; and one or more processors configured to determine a travel schedule of a plurality of vehicles each configured to perform one or more of a plurality of the examination items of the physical exam, the travel schedule being a schedule for the vehicles that offer the examination items of a plurality of the users to travel around the residences of the users.

This document describes methods by which a system determines a pickup/drop-off zone (PDZ) to which a vehicle will navigate to perform a ride service request. The system will define a PDZ that is a geometric interval that is within a lane of a road at the requested destination of the ride service request by: (i) accessing map data that includes the geometric interval; (ii) using the vehicle's length and the road's speed limit at the destination to calculate a minimum allowable length for the PDZ; (iii) setting, start point and end point boundaries for the PDZ having an intervening distance that is equal to or greater than the minimum allowable length; and (iv) positioning the PDZ in the lane at or within a threshold distance from the requested destination. The system will then generate a path to guide the vehicle to the PDZ.

To provide a demand arbitration apparatus, a vehicle, and a demand arbitration system which can suppress that the travel routes of each vehicle are different with each other, when a plurality of vehicles of a vehicle group travel to a common destination. A demand arbitration apparatus manages a vehicle group which grouped a plurality of vehicles; sets a common destination of the vehicle group; and generates a travel route from the current position of each belonging vehicle to the common destination so that the travel route of each belonging vehicle overlaps with each other, and transmits to each belonging vehicle.

Systems and methods for generating calm or quiet routes are provided. When a user requests navigation directions and indicates a preference for a calm route, a plurality of routes between the origin location and the destination location requested by the user may be identified. Historical sensor data (e.g., including heart rate data, exterior vehicle noise level data, accelerometer data) and traffic data associated with route segments of each of the routes may be analyzed to identify indications of calmness associated with each route segment. Current traffic data associated with the route segments may be analyzed to assign a traffic score representing a level of congestion along the segment and corresponding to a level of insurance risk associated with traversing the segment. Based at least in part upon the indications of calmness and the traffic score associated with each route segment, a route may be selected and presented to the user.