Enhancing launch pads for decision making in intelligent mobility on-demand

Abstract

Interacting for shared mobility is a complex spatio-temporal task. Traditional approaches rely on the full disclosure of inherently private trip information to perform ride matching. Such a requirement however creates a rigid architecture with location privacy and service knowledge issues. Catering for these complexities, we extend previous work on an intuitive interface concept, launch pads, to address individual route choice by enhancing the visualization in a third dimension. This representation provides a client with a more detailed pick-up choice set. To examine the value of this enhancement, we implement a multi-agent simulation and observe a client agent's responses to 3D launch pads visualized according to three different fare models. Results show that a client's flexibility in space is dependent on the fare model chosen and by using the visualization they can increase their utility.