Systems and methods for an intermediate device structure

A network of intermediate device systems, wherein each intermediate device system is coupled to a pole structure electrically connected to a power source, the system comprising;

• a plurality of electronic devices;
• and
• a bidirectional communication module and auxiliary devices sensing an environmental parameter of an area surrounding the intermediate device system and a control unit communicatively coupled to a processor, wherein the processor receives and processes information from the auxiliary devices and at least one remote device, and decides on prioritized operational instruction in responses to processing the information, wherein:
• the intermediate device is configured to survey a zone surrounding a pole structure to sense information and compile the sensed survey information, the sensed survey information comprising at least one of:
• a. Stalled object in vehicular path;
• b. Slow moving object(s);
• c. Heat source exceeding prescribed range;
• d. Slippery road condition;
• e. Flooding;
• f. Adverse audio signature;
• g. Adverse radiation;
• h. Adverse chemical signature;
• and
• i. Gas leak;
• and
• the compiled sensed survey information is prioritized and selectively communicated to at least one intermediate network device, a signaling controller, and a remote server, wherein upon sensing an event, an intermediate device in proximity to the sensed event dispatches an unmanned area vehicle to the event zone.

A decentralized intermediate device coupled to a pole structure and electrically connected to a power source, the device comprising;

• a pole mounted housing, the pole mounted housing receiving and retaining:
• a local input device, resident memory storing artificial intelligence code, a processor, an output device, a bidirectional communication module
• and auxiliary sensing devices sensing an environmental parameter of an area surrounding the intermediate device system and
• a control unit communicatively coupled to the processor, wherein
• the processor receives and locally processes machine, human and environmentally generated information from the auxiliary sensing devices and at least one remote pole mounted device, locally stored information stored and
• other input information, in response to executing the artificial intelligence code and predictively decides on prioritized operational outputs in response to processing the information and executes self-learning to optimize the intermediate device system operation, wherein:
• the operational outputs are selectively transmitted across a network of pole mounted devices including traffic signal devices in roadway intersection for controlling human and vehicular traffic at the roadway intersection, wherein the operational outputs include control parameters comprising present intersection vehicular load in all directions, anticipated intersection vehicular traffic load from all directions, present intersection human load at the cross work, anticipated intersection human traffic load toward cross work, intersection roadway condition, past data stored for time of day, past data stored for time of year, and environmental conditions that affect flow of traffic.