Abstract: Roadway intersection signaling solution is provided having systems and methods that can include a processor to identify a setting for roadway signaling. The setting can include predetermined phases to apply according to time intervals to control traffic objects at the intersection. The processor can identify data from a sensor on an object and an environmental condition at the roadway intersection. The processor can determine, based on the object and the environmental condition input into a machine learning (ML) model, a timing for the object to pass the roadway intersection. The processor can adjust, based on the timing for the object to pass the roadway intersection, the setting for signaling at the roadway intersection and generate an instruction to a signaling device at the roadway intersection based on the adjusted setting.

Abstract: A safety system is disclosed for failsafe servicing of areas within an order fulfillment facility. During normal operation, a number of battery-powered robots receive wireless instructions from a management control system (MCS) to transfer items to/from workstations or storage shelves in a multi-level storage structure. The order fulfillment facility may be divided into dynamically configurable service zones. When service is required in a service zone, different safety protocols may be employed based on a determination as to the priority level of service required and/or the estimated length of time service will take. One safety protocol involves physically blocking all access points to a service area with mechanical guards, so that order fulfillment operations may be proceed around the service zone while service is performed.