A business class for autonomous mobility-on-demand

A business class for autonomous mobility-on-demand: Modeling service quality contracts in dynamic ridesharing systems

Alves Beirigo, B. (TU Delft Transport Engineering and Logistics)
Negenborn, R.R. (TU Delft Transport Engineering and Logistics)
Alonso Mora, J. (TU Delft Learning & Autonomous Control)
Schulte, F. (TU Delft Transport Engineering and Logistics)

2022

With the popularization of transportation network companies (TNCs) (e.g., Uber, Lyft) and the rise of autonomous vehicles (AVs), even major car manufacturers are increasingly considering themselves as autonomous mobility-on-demand (AMoD) providers rather than individual vehicle sellers. However, matching the convenience of owning a vehicle requires providing consistent service quality, taking into account individual expectations. Typically, different classes of users have different service quality (SQ) expectations in terms of responsiveness, reliability, and privacy. Nonetheless, AMoD systems presented in the literature do not enable active control of service quality in the short term, especially in light of unusual demand patterns, sometimes allowing extensive delays and user rejections. This study proposes a method to control the daily operations of an AMoD system that uses the SQ expectations of heterogeneous user classes to dynamically distribute service quality among riders. Additionally, we consider an elastic vehicle supply, that is, privately-owned freelance AVs (FAVs) can be hired on short notice to help providers meeting user service-level expectations. We formalize the problem as the dial-a-ride problem with service quality contracts (DARP-SQC) and propose a multi-objective matheuristic to address real-world requests from Manhattan, New York City. Applying the proposed service-level constraints, we improve user satisfaction (in terms of reached service-level expectations) by 53% on average compared to conventional ridesharing systems, even without hiring additional vehicles. By deploying service-quality-oriented on-demand hiring, our hierarchical optimization approach allows providers to adequately cater to each segment of the customer base without necessarily owning large fleets.

Autonomous vehicle
Mobility-on-demand
Multi-objective optimization
On-demand hiring
Ridesharing
Service quality

http://resolver.tudelft.nl/uuid:9a68c975-a6c1-4729-89ba-301914dcdbf7

https://doi.org/10.1016/j.trc.2021.103520

0968-090X

Transportation Research. Part C: Emerging Technologies, 136

Institutional Repository

journal article

© 2022 B. Alves Beirigo, R.R. Negenborn, J. Alonso Mora, F. Schulte