A controller monitors the number of traveling vehicles scheduled to enter a sectioned area in addition to the number of existing vehicles, determines whether the traveling vehicles, scheduled to enter the sectioned area when the total of the number of existing vehicles and the number of vehicles scheduled to enter the sectioned area is acquired, can enter the sectioned area based on the total number of vehicles, determines whether a route including the sectioned area in a traveling route can be newly set, and controls the traveling of the traveling vehicle based on the determination on the entry and the determination on the setting.

A controller monitors the number of traveling vehicles scheduled to enter a sectioned area in addition to the number of existing vehicles, determines whether the traveling vehicles, scheduled to enter the sectioned area when the total of the number of existing vehicles and the number of vehicles scheduled to enter the sectioned area is acquired, can enter the sectioned area based on the total number of vehicles, determines whether a route including the sectioned area in a traveling route can be newly set, and controls the traveling of the traveling vehicle based on the determination on the entry and the determination on the setting.

A method, computer program product, and a system where a processor(s) determines generates a cognitive user profile representing patterns of usage of each of a plurality of users of the transportation resource sharing system, a cognitive resource profile for each resource of the plurality of resources, a cognitive route profile for each route traversed by at least one resource of the plurality of resources, and a cognitive station profile for each station of the plurality of stations. The processor(s) assigns one or more specific resources of the plurality of resources to one or more specific users of the plurality of users and the one or more specific resources of the plurality of resources to one or more specific stations of the plurality of stations.

A method, computer program product, and a system where a processor(s) determines generates a cognitive user profile representing patterns of usage of each of a plurality of users of the transportation resource sharing system, a cognitive resource profile for each resource of the plurality of resources, a cognitive route profile for each route traversed by at least one resource of the plurality of resources, and a cognitive station profile for each station of the plurality of stations. The processor(s) assigns one or more specific resources of the plurality of resources to one or more specific users of the plurality of users and the one or more specific resources of the plurality of resources to one or more specific stations of the plurality of stations.

A system and method which enables a telematics server and its software to modify telematics device behavior based on the provisioned telecommunications plan depending on the context of the telematics device. The context may be the location, stage of manufacturing process for the device/equipment that the telematics device is fitted to (e.g. a vehicle), the speed, status of various sensors and others. This information is used to both modify device behavior in terms of how often and what is communicated to the telematics server but is also useful in modifying and provisioning new plans for the telematics device (with appropriate transmission configurations matched to the plan). The foregoing allows the telematics device to avoid operating in a way that exceeds telecom plan thresholds and limits.

A system and method which enables a telematics server and its software to modify telematics device behavior based on the provisioned telecommunications plan depending on the context of the telematics device. The context may be the location, stage of manufacturing process for the device/equipment that the telematics device is fitted to (e.g. a vehicle), the speed, status of various sensors and others. This information is used to both modify device behavior in terms of how often and what is communicated to the telematics server but is also useful in modifying and provisioning new plans for the telematics device (with appropriate transmission configurations matched to the plan). The foregoing allows the telematics device to avoid operating in a way that exceeds telecom plan thresholds and limits.

Methods, systems, and devices for dataset simplification of N-dimensional signals captured for asset tracking are provided. An example method involves obtaining raw data from a data source onboard an asset and determining whether obtainment of the raw data results in satisfaction of a data logging trigger. The method further involves, when the data logging trigger is satisfied, performing a dataset simplification algorithm on a target set of data within the raw data to generate a simplified set of data, wherein the target set of data contains a time-variant N-dimensional signal, N>=1, and the dataset simplification algorithm is generalized for all N>=1. The method further involves transmitting the simplified set of data to a server.

Systems and methods described herein relate to simulating edge-computing deployment in diverse terrains. One embodiment receives a layer-selection input specifying which layers among a plurality of layers in a simulation model of an edge-computing deployment are to be included in a simulation experiment; receives a set of input parameters for each of the layers specified by the layer-selection input, the set of input parameters for one of the layers specified by the layer-selection input including selection of a vehicular application whose performance in the edge-computing deployment is to be evaluated via the simulation experiment; executes the simulation experiment in accordance with the layer-selection input and the set of input parameters for each of the layers specified by the layer-selection input; and outputs, from the simulation experiment, performance data for the selected vehicular application in the edge-computing deployment.

Systems and methods described herein relate to simulating edge-computing deployment in diverse terrains. One embodiment receives a layer-selection input specifying which layers among a plurality of layers in a simulation model of an edge-computing deployment are to be included in a simulation experiment; receives a set of input parameters for each of the layers specified by the layer-selection input, the set of input parameters for one of the layers specified by the layer-selection input including selection of a vehicular application whose performance in the edge-computing deployment is to be evaluated via the simulation experiment; executes the simulation experiment in accordance with the layer-selection input and the set of input parameters for each of the layers specified by the layer-selection input; and outputs, from the simulation experiment, performance data for the selected vehicular application in the edge-computing deployment.

Disclosed is a processing device that is mounted in a vehicle and is able to perform communication with a center server during a normal time. The processing device includes a controller configured to execute searching for one or a plurality of other vehicles with which a host vehicle is able to perform communication, in emergency where a situation of emergency occurs and communication with the center server is disrupted, inquiring the other vehicles searched by the search about whether or not to enable intervention control related to the situation, and deciding a center vehicle giving an instruction related to the intervention control from among the other vehicles replying to enable the intervention control and the host vehicle.