Simulation testbed for the next-generation bike-sharing system with self-driving cargo-bikes

In this modern era of transportation, bike-sharing systems dynamically increased their scope as one of the main mobility components in cities. Conventional bike-sharing systems significantly impact urban mobility, and the users have more interest in the utilization of bikes for short trips. However, the conventional bike-sharing systems have no dynamic rebalancing and less user friendly. To overcome these drawbacks, we proposed a next-generation autonomous bike-sharing system. This paper discusses the concept and system description for on-demand shared-use self-driving bikes service (OSABS). We need to investigate the economic viability and factors influencing the OSABS system. Furthermore, we present the simulation testbed with the technical implementation of the elements of the OSABS system. We demonstrate a typical agent-based simulation model in AnyLogic, representing self-driving cargo bikes, users, and the operational area of the OSABS system within the inner-city of Magdeburg.