G08G7/00

Accident monitoring using remotely operated or autonomous aerial vehicles

A system to monitor vehicle accidents using a network of aerial based monitoring systems, terrestrial based monitoring systems and in-vehicle monitoring systems is described. Aerial vehicles used for this surveillance include manned and unmanned aircraft, satellites and lighter than air craft. Aerial vehicles can also be deployed from vehicles. The deployment is triggered by sensors registering a pattern in the data that is indicative of an accident that has happened or an accident about to happen.

Automated Air-Traffic Advisory System and Method
20200043347 · 2020-02-06 ·

An automated air traffic advisory system bridges the communications gap between multiple aircraft on different frequencies in a monitored airspace, such as a non-towered airport, that may be remote from an Air Traffic Control facility. The system can automatically notify remote Air Traffic Control of the status of an aircraft in the monitored airspace, and can dynamically vary transmitter strength to be heard selectively only by nearby aircraft.

Management of mobile objects

An embodiment of the invention may include a method, computer program product and computer system for managing mobile objects. The embodiment may identify, by an event agent (EA), an event occurring in a geographic space in which a plurality of mobile objects move. The embodiment may determine the event is an expected event based on predicting time-series changes of the event handled by the EA. The embodiment may manage, by a predictive environment agent (PEA), the expected event.

Management of mobile objects

An embodiment of the invention may include a method, computer program product and computer system for managing mobile objects. The embodiment may identify, by an event agent (EA), an event occurring in a geographic space in which a plurality of mobile objects move. The embodiment may determine the event is an expected event based on predicting time-series changes of the event handled by the EA. The embodiment may manage, by a predictive environment agent (PEA), the expected event.

Autonomous vehicle system employing time domain dynamic buffers when matching passengers and vehicles

A system includes a plurality of at least partially autonomous vehicles, a plurality of interconnected roadways having a plurality of track segments, and embarkation area, and a control system. The roadways preferably have at least partially separated lanes and the roadways are optionally grade separated. The embarkation area includes a plurality of embarkation slots where passengers can board the vehicles. The embarkation area is connected to at least one of the plurality of track segments, allowing the vehicles to travel to and from the embarkation area to the at least one of the plurality of track segments. The control system is configured to coordinate a continuous flow of the plurality of vehicles on the track segments. Groups of vehicles depart from the embarkation area to the at least one of the plurality of track segments in coordinated groups.

Autonomous vehicle system employing time domain dynamic buffers when matching passengers and vehicles

A system includes a plurality of at least partially autonomous vehicles, a plurality of interconnected roadways having a plurality of track segments, and embarkation area, and a control system. The roadways preferably have at least partially separated lanes and the roadways are optionally grade separated. The embarkation area includes a plurality of embarkation slots where passengers can board the vehicles. The embarkation area is connected to at least one of the plurality of track segments, allowing the vehicles to travel to and from the embarkation area to the at least one of the plurality of track segments. The control system is configured to coordinate a continuous flow of the plurality of vehicles on the track segments. Groups of vehicles depart from the embarkation area to the at least one of the plurality of track segments in coordinated groups.

Systems and Methods for Coordinating Movement of Assets within a Transfer Hub

In one example embodiment, a computer-implemented method for coordinating the movement of assets at transfer hubs includes determining one or more assets to move from a first location associated with a transfer hub. The method also includes assigning a jockey to move the one or more assets to a second location associated with the transfer hub based at least in part on an availability of the jockey. The method further includes directing the jockey to move the one or more assets from the first location to the second location.

Systems and Methods for Managing Space at a Location for Receiving Assets

In one example embodiment, a computer-implemented method for managing available capacity at a location for receiving an asset includes obtaining data indicative of one or more first assets that will arrive at a first location within a first transfer hub at an arrival time, the one or more first assets being associated with a first service provider. The method includes determining an available capacity at the first location within the first transfer hub for receiving the one or more first assets at the arrival time. The method includes moving one or more second assets positioned at the first location to a second location within the first transfer hub to increase the available capacity at the first location for receiving the one or more first assets at the arrival time.

Systems and Methods for Coordinating an Arrival of One or More Assets at a Location

In one example embodiment, a computer-implemented method for coordinating an arrival of an asset at a location includes identifying one or more assets arriving at a transfer hub, based at least in part on one or more attributes associated with the one or more assets. The method includes determining an arrival time for the one or more assets, based at least in part on an available capacity associated with the transfer hub for receiving the one or more assets. The method includes controlling the one or more assets to arrive at the determined arrival time.

Predictive multimodal land transportation supervision

This infrastructure is characterized in that the multimodal network grouping together a plurality of monomodal networks, each monomodal network being equipped with an individual operating system, the supervision infrastructure includes a plurality of local supervision modules, each local supervision module being associated with a transfer station providing an interconnection between at least two of the monomodal networks and being able to perform a real-time synthesis of the traffic at the associated transfer station and continuously execute a plurality of operating rules by using operating data from the traffic synthesis so as to generate at least one setpoint, and to send the setpoint to at least one operating system of one monomodal network from among the monomodal networks interconnected to the associated transfer station.