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Last-mile delivery of goods has gained a lot of attraction during theCOVID-19 pandemic. However, current package delivery processes often lead toparking in the second lane, which in turn has negative effects on the urbanenvironment in which the deliveries take place, i.e., traffic congestion andsafety issues for other road users. To tackle these challenges, an effectiveautonomous delivery system is required that guarantees efficient, flexible andsafe delivery of goods. The project LogiSmile, co-funded by EIT Urban Mobility,pilots an autonomous delivery vehicle dubbed the Autonomous Hub Vehicle (AHV)that works in cooperation with a small autonomous robot called the AutonomousDelivery Device (ADD). With the two cooperating robots, the project LogiSmileaims to find a possible solution to the challenges of urban goods distributionin congested areas and to demonstrate the future of urban mobility. As a memberof Nieders\"achsische Forschungszentrum f\"ur Fahrzeugtechnik (NFF), theInstitute for Software and Systems Engineering (ISSE) developed an integratedsoftware safety architecture for runtime monitoring of the AHV, with (1) adependability cage (DC) used for the on-board monitoring of the AHV, and (2) aremote command control center (CCC) which enables the remote off-boardsupervision of a fleet of AHVs. The DC supervises the vehicle continuously andin case of any safety violation, it switches the nominal driving mode todegraded driving mode or fail-safe mode. Additionally, the CCC also manages thecommunication of the AHV with the ADD and provides fail-operational solutionsfor the AHV when it cannot handle complex situations autonomously. The runtimemonitoring concept developed for the AHV has been demonstrated in 2022 inHamburg. We report on the obtained results and on the lessons learned.

Runtime Safety Assurance of Autonomous Vehicles used for Last-mile Delivery in Urban Environments