We develop an agent-based simulator named METS-R SIM to support operational decisions
for multi-modal shared autonomous vehicle (SAEV) services. Compared with existing traffic …

Microscopic agent-based traffic simulation is an important tool for the efficient and safe
resolution of various traffic challenges accompanying the introduction of autonomous …

Connected and automated vehicles (CAVs) have real-time knowledge of the immediate
driving environment, actions to be taken in the near future and information from the cloud …

Shared autonomous vehicles, or SAVs, have attracted significant public and private interest
because of their opportunity to simplify vehicle access, avoid parking costs, reduce fleet size …

Shared mobility solutions improve traffic efficiency in cities. This paper addresses the design
of an urban demand-responsive transit system operated by a fleet of autonomous modules …

Abstract Cooperative Intelligent Transportation Systems (C-ITS) are complex systems well-
suited to a multi-agent modeling. We propose a multi-agent based modeling of a C-ITS, that …

The mobility of people is at the center of transportation planning and decision-making of the
cities of the future. In order to accelerate the transition to zero-emissions and to maximize air …

Abstract Simulation studies on Shared Autonomous Vehicles (SAVs) could offer several
insights to transport policymakers about future mobility. Case studies using the agent-based …

Modeling and simulation tools are being increasingly acclaimed in the research field of
autonomous vehicles systems, as they provide suitable test beds for the development and …

Connected and automated vehicles (CAVs) are expected to play a vital role in the emerging
intelligent transportation system. In recent years, researchers have proposed various …