Assessing Autonomous Mobility-on-Demand Services and the Impacts of Operational Strategies: A Case Study of Chengdu, China

Research utilizing a simulation framework in Chengdu, China, indicates that Autonomous Mobility-on-Demand (AMoD) services hold potential as an alternative to traditional urban street-hailing. The study evaluates AMoD's operational performance, focusing on passenger waiting times, deadheading mileage, and energy consumption, while also assessing the impact of various operational strategies.

The emergence of Autonomous Mobility-on-Demand (AMoD) services could significantly reshape urban transportation paradigms, offering potential for improved efficiency and sustainability. Understanding AMoD's operational performance and the effectiveness of various strategies is crucial for strategic planning and investment in future mobility solutions.

A simulation framework was developed to integrate a graph theory-based trip-vehicle matching mechanism.

Forward consideration, not a verified fact.