THE OVERALL GOAL OF THIS PROPOSED PROJECT IS TO SUPPORT SAFE OPERATIONS OF UNMANNED AERIAL VEHICLES (UAVS) FOR URBAN MOBILITY. THE INITIAL FOCUS WILL BE ON SMALL OCTOCOPTER UAVS PRIMARILY EMPLOYED FOR PACKAGE DELIVERY IN URBAN SETTINGS BUT LATER WE WILL EXTEND THE WORK TO APPLY TO LARGER UAVS SUCH AS AIR TAXIS THAT MAY BE USED FOR URBAN TRANSPORTATION BY HUMANS. WE WILL DEVELOP A FRAMEWORK AND COMPUTATIONAL ARCHITECTURE THAT IS GENERAL AND SCALABLE. SOME THE KEY CONSIDERATIONS AND HIGHLIGHTS OF OUR OVERALL APPROACH ARE: (1) INTEGRATED ON BOARD AND OFF BOARD SCHEMES FOR MONITORING UAV FLIGHTS FOR INDIVIDUAL VEHICLES AND THE FLEET OF VEHICLES TO MANAGE FLIGHT OPERATIONS REDUCE FLIGHT RISKS AND MAINTAIN FLIGHT SAFETY; (2) SHORT-TERM AND LONG-TERM DECISION MAKING SCHEMES THAT WILL INCLUDE ANALYZING RISK ASSOCIATED WITH THE CURRENT TRAJECTORY GIVEN THE EXISTING ENVIRONMENTAL CONDITIONS CONTINGENCY MANAGEMENT AND FAULT-ADAPTIVE CONTROL TO MAINTAIN SYSTEM TRAJECTORY AND OPERATIONS; AND (3) STUDYING THE EFFECTS OF MULTIPLE INTERACTING SUBSYSTEMS OF THE UAV ON SYSTEM PERFORMANCE ESPECIALLY UNDER DEGRADED AND FAULTY CONDITIONS. WE WILL WORK CLOSELY WITH RESEARCHERS AT NASA AMES TO DEVELOP THE EXISTING HARDWARE-IN-THE-LOOP TESTBED AND RUN EXPERIMENTAL STUDIES ON THIS TESTBED TO DEMONSTRATE THE EFFECTIVENESS OF OUR COMPUTATIONAL ARCHITECTURES AND DECISION-MAKING ALGORITHMS FOR A NUMBER OF RELEVANT SCENARIOS