Abstract: Methods and systems are provided for detecting anomalies and forecasting optimizations to improve urban living management using networks of autonomous vehicles. An autonomous vehicle may receive initial information relating to infrastructure utilized by a plurality of autonomous vehicles, and may obtain, during operation in the infrastructure, real-time information relating to the infrastructure, to other ones of the plurality of autonomous vehicles, and/or to various conditions or operations pertinent to urban living and management thereof in an area corresponding to and/or associated with the infrastructure. The real-time information may be processed, and based on the processing of the real-time information and the initial information, anomalies and/or problems affecting the infrastructure and/or operation of the plurality of autonomous vehicles in the infrastructure may be detected, and one or more adjustments to improve management of urban living within the area may be determined.

Abstract: Systems and methods are provided for in-vehicle data-driven connectivity optimization in a network of moving things. An on-board unit configured for deployment in a vehicle may obtain, during operations in an area of the network of moving things, connectivity-related data relating to coverage within the area, and generate or update, based on processing of the obtained connectivity-related data, a networking decision model. The networking decision model is configured for optimizing connectivity to the one or more access points in or associated with the network of moving things. The networking decision model may be shared with other on-board units deployed in other vehicles and/or with a Cloud-based network node in the network.

Abstract: Systems and methods are provided for in-vehicle data-driven connectivity optimization in a network of moving things. An on-board unit configured for deployment in a vehicle may obtain, during operations in an area of the network of moving things, connectivity-related data relating to coverage within the area, and generate or update, based on processing of the obtained connectivity-related data, a networking decision model. The networking decision model is configured for optimizing connectivity to the one or more access points in or associated with the network of moving things. The networking decision model may be shared with other on-board units deployed in other vehicles and/or with a Cloud-based network node in the network.

Abstract: Methods and systems are provided for detecting anomalies and forecasting optimizations to improve smart city or region infrastructure management using networks of autonomous vehicles. An autonomous vehicle may receive initial information relating to infrastructure utilized by a plurality of autonomous vehicles, and may acquire, during operation in the infrastructure, real-time information relating to the infrastructure and/or to other ones of the plurality of autonomous vehicles. The acquired information may be processed, and based on the processing of the acquired information and the initial information, anomalies and/or problems affecting the infrastructure and/or operation of the plurality of autonomous vehicles in the infrastructure may be detected.

Abstract: Methods and systems are provided for detecting anomalies and forecasting optimizations to improve urban living management using networks of autonomous vehicles. An autonomous vehicle may receive initial information relating to infrastructure utilized by a plurality of autonomous vehicles, and may obtain, during operation in the infrastructure, real-time information relating to the infrastructure, to other ones of the plurality of autonomous vehicles, and/or to various conditions or operations pertinent to urban living and management thereof in an area corresponding to and/or associated with the infrastructure. The real-time information may be processed, and based on the processing of the real-time information and the initial information, anomalies and/or problems affecting the infrastructure and/or operation of the plurality of autonomous vehicles in the infrastructure may be detected, and one or more adjustments to improve management of urban living within the area may be determined.

Abstract: Methods and systems are provided for detecting anomalies and forecasting optimizations to improve smart city or region infrastructure management using networks of autonomous vehicles. An autonomous vehicle may receive initial information relating to infrastructure utilized by a plurality of autonomous vehicles, and may acquire, during operation in the infrastructure, real-time information relating to the infrastructure and/or to other ones of the plurality of autonomous vehicles. The acquired information may be processed, and based on the processing of the acquired information and the initial information, anomalies and/or problems affecting the infrastructure and/or operation of the plurality of autonomous vehicles in the infrastructure may be detected.

Abstract: Systems and methods for power management in a network of moving things. As non-limiting examples, various aspects of this disclosure provide systems and methods for utilizing information from various sensors and/or other information sources to determine when and/or how to operate a node (e.g., a Mobile AP, Fixed AP, etc.) in a power saving mode.

Abstract: Communication network architectures, systems and methods for supporting a network of mobile nodes. As a non-limiting example, various aspects of this disclosure provide communication network architectures, systems, and methods for supporting dynamically re-configurable and adaptable network devices in a communication network comprising a complex array of both static and moving communication nodes (e.g., the Internet of moving things).

Abstract: Communication network architectures, systems and methods for supporting a network of mobile nodes. As a non-limiting example, various aspects of this disclosure provide communication network architectures, systems, and methods for supporting dynamically re-configurable and adaptable network devices in a communication network comprising a complex array of both static and moving communication nodes (e.g., the Internet of moving things).

Abstract: Communication network architectures, systems and methods for supporting a network of mobile nodes. As a non-limiting example, various aspects of this disclosure provide communication network architectures, systems, and methods for supporting dynamically re-configurable and adaptable network devices in a communication network comprising a complex array of both static and moving communication nodes (e.g., the Internet of moving things).

Abstract: Communication network architectures, systems and methods for supporting a network of mobile nodes. As a non-limiting example, various aspects of this disclosure provide communication network architectures, systems, and methods for supporting dynamically re-configurable and adaptable network devices in a communication network comprising a complex array of both static and moving communication nodes (e.g., the Internet of moving things).

Abstract: Communication network architectures, systems and methods for supporting a network of mobile nodes. As a non-limiting example, various aspects of this disclosure provide communication network architectures, systems, and methods for supporting dynamically re-configurable and adaptable network devices in a communication network comprising a complex array of both static and moving communication nodes (e.g., the Internet of moving things).

Abstract: Systems and methods for power management in a network of moving things. As non-limiting examples, various aspects of this disclosure provide systems and methods for utilizing information from various sensors and/or other information sources to determine when and/or how to operate a node (e.g., a Mobile AP, Fixed AP, etc.) in a power saving mode.

Abstract: Communication network architectures, systems and methods for supporting a network of mobile nodes. As a non-limiting example, various aspects of this disclosure provide communication network architectures, systems, and methods for supporting dynamically re-configurable and adaptable network devices in a communication network comprising a complex array of both static and moving communication nodes (e.g., the Internet of moving things).