Abstract: The described embodiments relate to systems, methods, and apparatuses for controlling a network of lights (120) according to whether people (122) who are observing the lights are visitors from a different location (108). Visitors can be identified by using network connection data (116, 208) that includes entries corresponding to personal devices of visitors to a city. The network connection data can be filtered to identify how many personal devices are associated with people visiting from a different city. If the number of visitors exceeds some threshold relative to non-visitors, a lighting arrangement in the city can be controlled to display features that would appeal to the visitors. The features can correspond to aspects of the city where the visitors are from and can therefore make the city more attractive.

Abstract: The described embodiments relate to systems, methods, and apparatuses for controlling energy resources available to micro-grids of a city based on mobility patterns of people moving within the micro-grids. The mobility patterns can be identified using a network of sensors within each micro-grid for collecting data related to the movement of people within the micro-grids. The mobility patterns can be used to estimate energy demand for each micro-grid and prioritize the energy demands to determine the energy resources that would be suitable for supplying power to each micro-grid. This allows for micro-grids to dynamically and efficiently change their power sources according to predictions about the movement of people within the micro-grids.

Abstract: Techniques are described herein for to improving optical wireless communications based on mobility patterns. In various embodiments, one or more mobility patterns observed in an area over time may be determined (302). The area may be illuminated by one or more lighting units (102) configured to transmit information using optical wireless communications (“OWC”). An applicable mobility pattern may be selected (308) from the one or more mobility patterns. Based on the selected mobility pattern, usage in the area of a plurality of OWC-based mobile apps (230) may be predicted (310). One or more OWC resources of at least one of the one or more lighting units may be allocated (312) for transmission of data to one or more of the plurality of OWC-based mobile apps operating on one or more mobile devices operated within the area. In various embodiments, the allocating may be based at least in part on the predicted usage.

Abstract: The described embodiments relate to systems, methods, and apparatuses for controlling lights (130) in an area of a city (200) based on demographic data and/or mobility pattern data (120). Using the demographic data and/or the mobility pattern data, the lights can be arranged to attract people (214) to the area (210) where the lights are located. The mobility pattern data can be used to identify when people are typically moving towards the area, in order that the lights can be prepared to attract people in advance of their arrival. Furthermore, an output of the lights can be measured to measure certain characteristics about the lights so that the lights can be adjusted to better appeal to the demographic of people in the area.

Abstract: The described embodiments relate to systems, methods, and apparatuses for controlling a network of lights (120) according to whether people (122) who are observing the lights are visitors from a different location (108). Visitors can be identified by using network connection data (116, 208) that includes entries corresponding to personal devices of visitors to a city. The network connection data can be filtered to identify how many personal devices are associated with people visiting from a different city. If the number of visitors exceeds some threshold relative to non-visitors, a lighting arrangement in the city can be controlled to display features that would appeal to the visitors. The features can correspond to aspects of the city where the visitors are from and can therefore make the city more attractive.

Abstract: Techniques are described herein for to improving optical wireless communications based on mobility patterns. In various embodiments, one or more mobility patterns observed in an area over time may be determined (302). The area may be illuminated by one or more lighting units (102) configured to transmit information using optical wireless communications (“OWC”). An applicable mobility pattern may be selected (308) from the one or more mobility patterns. Based on the selected mobility pattern, usage in the area of a plurality of OWC-based mobile apps (230) may be predicted (310). One or more OWC resources of at least one of the one or more lighting units may be allocated (312) for transmission of data to one or more of the plurality of OWC-based mobile apps operating on one or more mobile devices operated within the area. In various embodiments, the allocating may be based at least in part on the predicted usage.

Abstract: A lighting-system (100) for illuminating an environment, the lighting system comprising a plurality of lighting modules (111, 112, 113) and a lighting-system control device (130). The lighting modules comprise: —a light source (121) for emitting light, —a programmable controller (122) configured to control an operation of the light source, and —a network interface (123) configured to allow the lighting module to communicate via a network. The lighting-system control device (130) comprises: —a processor circuit (133) configured to determine lighting control data to change the light spectrum of the light source based on the mobility data of the at least one user, and to transmit the lighting control data to at least one lighting module of the plurality of lighting modules to program said lighting module according to the lighting control data.

Abstract: The described embodiments relate to systems, methods, and apparatuses for controlling energy resources available to micro-grids of a city based on mobility patterns of people moving within the micro-grids. The mobility patterns can be identified using a network of sensors within each micro-grid for collecting data related to the movement of people within the micro-grids. The mobility patterns can be used to estimate energy demand for each micro-grid and prioritize the energy demands to determine the energy resources that would be suitable for supplying power to each micro-grid. This allows for micro-grids to dynamically and efficiently change their power sources according to predictions about the movement of people within the micro-grids.

Abstract: The described embodiments relate to systems, methods, and apparatuses for controlling lights (130) in an area of a city (200) based on demographic data and/or mobility pattern data (120). Using the demographic data and/Gall or the mobility pattern data, the lights can be arranged to attract people (214) to the area (210) where the lights are located. The mobility pattern data can be used to identify when people are typically moving towards the area, in order that the lights can be prepared to attract people in advance of their arrival. Furthermore, an output of the lights can be measured to measure certain characteristics about the lights so that the lights can be adjusted to better appeal to the demographic of people in the area.