Methods and systems for identifying stock anomalies in a fleet management system. A computing device may be configured to receive a geofence location for a first vehicle from the fleet management system, and receive a second location from an on-board telematics unit of the first vehicle. The computing device may determine whether the received second location is within the received geofence location. The computing device may determining that the first vehicle is in a state of anomaly in response to determining that the received second location is not within the received geofence location.

The present application provides a method, device and system for automatically fueling a vehicle. The method includes: determining fuel amount to be filled according to the information of vehicle status and the driving route of the vehicle; assigning a fueling device which conforms to a preset position rule to the vehicle according to the current position of the vehicle and the preset position rule; sending a feedback message carrying position information of the fueling device to the vehicle, so that the vehicle drives to the fueling device indicated by a position of the fueling device; and sending information of the fuel amount to be filled and the information of the identifier of the vehicle to the fueling device so that the fueling device offers fuel to the vehicle indicated by the identifier of the vehicle according to the information of the fuel amount to be filled.

Various implementations include approaches for training a surface detection classifier and detecting characteristics of a surface, along with related micromobility vehicles. Certain implementations include a method including: comparing: i) detected movement of a micromobility (MM) vehicle or a device located with a user at the MM vehicle while operating the MM vehicle, with ii) a surface detection classifier for the MM vehicle; and in response to detecting that the MM vehicle is traveling on a restricted surface type for a threshold period, performing at least one of: a) notifying an operator of the MM vehicle about the travel on the restricted surface type, b) outputting a warning at an interface connected with the MM vehicle or the device, c) limiting a speed of the MM vehicle, or d) disabling operation of the MM vehicle.

Embodiments herein are directed to a vehicle floating fleet vehicle system for determining a location of a user and one or more car-sharing vehicles. The system includes a server computing device operated by a floating fleet service provider. The server computing device includes at least one processor; a memory communicatively coupled to the at least one processor; and machine readable instructions stored in the memory. The machine readable instructions cause the vehicle floating fleet system to perform at least the following when executed by the at least one processor receive a request for the one or more car-sharing vehicles, determine the one or more car-sharing vehicles in one or more nearby gated parking facilities, send information about the one or more car-sharing vehicles to the user, and receive a selected car-sharing vehicle in a nearby gated parking facility of the one or more nearby gated parking facilities from the user.

The described technology is generally directed towards combining user identity information, corresponding to user profile data, with vehicle information, such as for use by a traffic zone management system that charges a fee for vehicle usage in a traffic zone. A user device, such as a mobile communications device, can be coupled to vehicle information such as via a transponder that is detected by roadside units, or by uploading the combined information to a wireless communications system. Based on the combination of information, different billing rates or the like can be applied to different users and vehicle types. The technology can work with various communication systems, including roadside units and wireless communication networks.

The invention provides a signal redundancy control system. The system includes multiple first signal collecting devices, second signal collecting devices and a controller, wherein the multiple first signal collecting devices are configured to collect the dynamic information of default devices where the first signal collecting devices are located in real time; one second signal collecting device corresponding to each of the first signal collecting devices is disposed on each default device, and is configured to collect the dynamic information of the default device where the second signal collecting device is located in real time; the controller is configured to determine whether the first signal collecting devices include fault information or not, and positions each default device according to the dynamic information acquired by the first signal collecting devices or the second signal collecting devices.

Dynamic geofence zones may be deployed and updated for a ride sharing service. At least one set of dynamic geofence zones may be created which are associated with a ride sharing service. At least one time period may be set for the at least one set of dynamic geofence zones. The at least one set of dynamic geofence zones may be deployed. The at least one set of dynamic geofence zones may be updated.

A traffic analysis system analyzes location data from a plurality of vehicles to determine journeys made by the vehicles. Vehicles may make one or more rest stops during a journey. The traffic analysis system compares rest periods to journey criteria to determine whether a rest period delineates the end of a journey, or whether a rest period is still within the journey. In this way, a plurality of trips can be chained together into a journey to provide more accurate analysis of traffic patterns.

Location polygons are defined along traffic lanes and parking spaces to facilitate determination of the location of a vehicle relative to features associated with the location polygons. The location polygons are used, in one application, to identity entrance and exit of a special toll lane along a roadway, and to ensure that the vehicle properly enters and exits the tolling lane. The location polygons define geofenced regions, and each definition for a geofenced region can include one or more rules that are used to evaluate location information reported by a user’s equipment. The rules dictate whether an action it taken or inhibited, such as charging a toll or not charging a toll, based on other location information reported by the user’s equipment.

Disclosed herein are systems and methods for alleviating traffic congestion within an enforcement zone. In some embodiments, a system for alleviating traffic congestion within an enforcement zone comprises a server and a plurality of edge devices coupled to carrier vehicles deployed within the enforcement zone. The edge devices can be configured to capture videos of vehicles that may be subject to the traffic congestion pricing policy and to determine their locations, license plate numbers, and certain vehicle attributes using certain sensors on the edge devices and deep learning models running on the edge devices. The edge devices can also be configured to transmit evidence packages to the server concerning such vehicles. The server can be configured to evaluate the evidence packages received from the edge devices and prepare final evidence packages concerning the vehicles for further review and processing.