Modeling Autonomous Delivery Robots Under Framework of Automated Driving System Using Dynamic Transport Assignment: A State-of-the-Art

Start Page
38
End Page
49
Citation
1st International Symposium of Intelligent Technology for Future Transportation, ITFT 2024
Contribution to Conference
1st International Symposium of Intelligent Technology for Future Transportation, ITFT 2024  
Publisher DOI
10.1007/978-3-031-84148-4_3
Publisher
Springer
ISBN
978-3-031-84147-7
978-3-031-84148-4
The integration of Autonomous Delivery Robot (ADR) into the current logistics system, widely viewed as a promising last-mile solution, represents a significant advancement in modern delivery methods. Before deployment in practical applications, Autonomous Delivery Robots (ADR) undergo comprehensive testing phases, including Modeling and Simulation (M&S), Closed-Track Testing, and Open-Road Testing. The microscopic transportation simulation is a reliable test among different M&S methods. The ADR lacks a dedicated framework aimed at the Operation Design Domain (ODD) of Automated Driving Systems (ADS), unlike standard Automated Vehicle (AV). To achieve improved and predictable road safety, effective management of traffic conditions, and ultimately secure broader acceptance, ADR modeling should align with the appropriate Operational Design Domain (ODD), particularly for microscopic transportation simulation. The Operational Design Domain (ODD) ensures safe and reliable operation by considering factors such as physical infrastructure, operational limits, objects, connectivity, environmental conditions, and zones, though not all are applicable in microscopic transportation simulations. Implying the intermodal transportation for the ADR in commercially available Graphical User Interface (GUI) based simulators is not yet in practice. Therefore, there is a notable absence of implementation method. Dynamic Public Transport Assignment (formerly known as Dynamic Transit Assignment) is one of the few methods that addresses overlapping traffic agents and road users in the widely used microscopic simulator, Aimsun. This study proposed a set of ODD when utilizing Dynamic Public Transport Assignment to establish a logistics system that facilitates intermodal transportation of ADR. The results show ADR based network coverage require longer travel time for delivery than intermodal transport added scenario. This paper improves how ADR is modeled in suggested ODD and looks at how Dynamic Public Transport Assignment affects intermodal logistics, giving a foundation for modelers and researchers, making it state-of-the-art.
DDC Class
380: Commerce, Communications, Transport
005: Computer Programming, Programs, Data and Security