Testing demand responsive shared transport services via agent-based simulations
Giuseppe Inturri, Nadia Giuffrida, Matteo Ignaccolo, Michela Le Pira,, Alessandro Pluchino, Andrea Rapisarda
TL;DR
This paper presents an agent-based model to evaluate the feasibility of various Demand Responsive Shared Transport services, highlighting how route choice strategies influence system performance in real-world scenarios.
Contribution
It introduces a novel agent-based simulation framework to assess different configurations of DRST services in real contexts.
Findings
Route choice strategy significantly affects system performance
Agent-based modeling effectively tests DRST service configurations
Preliminary results demonstrate feasibility of proposed service models
Abstract
Demand Responsive Shared Transport DRST services take advantage of Information and Communication Technologies ICT, to provide on demand transport services booking in real time a ride on a shared vehicle. In this paper, an agent-based model ABM is presented to test different the feasibility of different service configurations in a real context. First results show the impact of route choice strategy on the system performance.
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Taxonomy
TopicsTransportation and Mobility Innovations · Transportation Planning and Optimization · Sharing Economy and Platforms