Abstract: Methods and systems for optimizing traffic flow. The system includes a plurality of vehicles each having a location sensor configured to detect location data and a transceiver configured to communicate the location data. The system also includes a remote data server. The remote data server is configured to receive the respective location data from the plurality of vehicles. The remote data server is also configured to determine swarm traffic flow data based on the respective location data from the plurality of vehicles. The remote data server is also configured to determine adjusted traffic light timing data to optimize traffic flow based on the swarm traffic flow data. The system also includes a plurality of traffic lights coupled to the remote data server and configured to receive the adjusted traffic light timing data and illuminate the plurality of traffic lights based on the adjusted traffic light timing data.

Abstract: A system for controlling big data transfer from a vehicle to a server includes a plurality of vehicle sensors located on the vehicle and configured to detect vehicle data. The system further includes a memory located on the vehicle and configured to store the vehicle data. The system further includes a network access device located on the vehicle and configured to communicate with the server. The system further includes an electronic control unit (ECU) located on the vehicle, coupled to the plurality of vehicle sensors, the memory, and the network access device. The ECU is designed to analyze the vehicle data to identify prioritized vehicle data and other vehicle data within the vehicle data. The ECU is further designed to compress the prioritized vehicle data. The ECU is further designed to control the network access device to transmit the compressed prioritized vehicle data to the server.

Abstract: A system for controlling big data transfer from a vehicle to a server includes a plurality of vehicle sensors located on the vehicle and configured to detect vehicle data. The system further includes a memory located on the vehicle and configured to store the vehicle data. The system further includes a network access device located on the vehicle and configured to communicate with the server. The system further includes an electronic control unit (ECU) located on the vehicle, coupled to the plurality of vehicle sensors, the memory, and the network access device. The ECU is designed to analyze the vehicle data to identify prioritized vehicle data and other vehicle data within the vehicle data. The ECU is further designed to compress the prioritized vehicle data. The ECU is further designed to control the network access device to transmit the compressed prioritized vehicle data to the server.

Abstract: Methods and systems for optimizing traffic flow. The system includes a plurality of vehicles each having a location sensor configured to detect location data and a transceiver configured to communicate the location data. The system also includes a remote data server. The remote data server is configured to receive the respective location data from the plurality of vehicles. The remote data server is also configured to determine swarm traffic flow data based on the respective location data from the plurality of vehicles. The remote data server is also configured to determine adjusted traffic light timing data to optimize traffic flow based on the swarm traffic flow data. The system also includes a plurality of traffic lights coupled to the remote data server and configured to receive the adjusted traffic light timing data and illuminate the plurality of traffic lights based on the adjusted traffic light timing data.

Abstract: A Mobility-as-a-Service (“MaaS”) system and related method for locating at least one MaaS asset includes one or more processors and a memory device in communication with the one or more processors. The memory device stores information receiving module, a location module, and a map generating module. The map generating module includes instructions that when executed by the one or more processors cause the one or more processors to receive information from at least one secondary asset having an electronic sensing device. The location module includes instructions that when executed by the one or more processors cause the one or more processors to determine a location of the MaaS asset based on the information from the secondary asset.