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Ride-Pooling Autonomous Mobility-on-Demand in Mixed Traffic Conditions

https://doi.org/10.2139/ssrn.5077752
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Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-3-662-45854-9_19openalex-extracted
Autonomous Mobility-on-Demand Systems for Future Urban Mobility
inferredcites →https://doi.org/10.1007/s10514-018-9750-5openalex-extracted
Routing autonomous vehicles in congested transportation networks: structural properties and coordination algorithms
inferredcites →https://doi.org/10.1016/j.ecotra.2023.100313openalex-extracted
Economies and diseconomies of scale in on-demand ridepooling systems
inferredcites →https://doi.org/10.1016/j.ejor.2021.11.041openalex-extracted
How to split the costs and charge the travellers sharing a ride? aligning system’s optimum with users’ equilibrium
inferredcites →https://doi.org/10.1016/j.trb.2020.07.001openalex-extracted
Pricing and equilibrium in on-demand ride-pooling markets
inferredcites →https://doi.org/10.1016/j.trc.2021.103413openalex-extracted
Real time operation of high-capacity electric vehicle ridesharing fleets
inferredcites →https://doi.org/10.1073/pnas.1403657111openalex-extracted
Quantifying the benefits of vehicle pooling with shareability networks
inferredcites →https://doi.org/10.1073/pnas.1611675114openalex-extracted
On-demand high-capacity ride-sharing via dynamic trip-vehicle assignment
inferredcites →https://doi.org/10.1109/icra.2016.7487272openalex-extracted
Model predictive control of autonomous mobility-on-demand systems
inferredcites →https://doi.org/10.1109/itsc.2018.8569459openalex-extracted
Stochastic Model Predictive Control for Autonomous Mobility on Demand
inferredcites →https://doi.org/10.1109/itsc.2019.8916955openalex-extracted
Quantifying the Benefits of Autonomous On-Demand Ride-Pooling: A Simulation Study for Munich, Germany
inferredcites →https://doi.org/10.1109/mprv.2008.80openalex-extracted
OpenStreetMap: User-Generated Street Maps
inferredcites →https://doi.org/10.1109/tac.2024.3410890openalex-extracted
BIG Hype: Best Intervention in Games via Distributed Hypergradient Descent
inferredcites →https://doi.org/10.1109/tcns.2016.2590259openalex-extracted
Optimal Pricing to Manage Electric Vehicles in Coupled Power and Transportation Networks
inferredcites →https://doi.org/10.1109/tcns.2019.2923384openalex-extracted
On the Interaction Between Autonomous Mobility-on-Demand Systems and the Power Network: Models and Coordination Algorithms
inferredcites →https://doi.org/10.1109/tits.2019.2950720openalex-extracted
Intermodal Autonomous Mobility-on-Demand
inferredcites →https://doi.org/10.1109/tits.2021.3112106openalex-extracted
Routing and Rebalancing Intermodal Autonomous Mobility-on-Demand Systems in Mixed Traffic
inferredcites →https://doi.org/10.1146/annurev-control-042920-012811openalex-extracted
Analysis and Control of Autonomous Mobility-on-Demand Systems
inferredcites →https://doi.org/10.1177/0278364912444766openalex-extracted
Robotic load balancing for mobility-on-demand systems
inferredcites →https://doi.org/10.23919/ecc.2019.8795897openalex-extracted
A Congestion-aware Routing Scheme for Autonomous Mobility-on-Demand Systems
inferredcites →https://doi.org/10.23919/ecc64448.2024.10590895openalex-extracted
Learning to Control Autonomous Fleets from Observation via Offline Reinforcement Learning
inferredcites →https://doi.org/10.48550/arxiv.2303.01101openalex-extracted
BIG Hype: Best Intervention in Games via Distributed Hypergradient Descent
inferredcites →https://doi.org/10.48550/arxiv.2403.03999openalex-extracted
Fair Artificial Currency Incentives in Repeated Weighted Congestion Games: Equity vs. Equality
inferredcites →https://doi.org/10.48550/arxiv.2408.15742openalex-extracted
inferredcites →https://doi.org/10.1109/cdc56724.2024.10886835openalex-snapshot
On the impact of coordinated fleets size on traffic efficiency

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1016/j.ijhcs.2025.103671openalex-snapshot
Easy to handle: Exploring users’ interactions with an augmented reality human-machine interface for virtual stops in automated on-demand mobility scenarios
inferred← citeshttps://doi.org/10.4018/979-8-2600-1333-5.ch007openalex-snapshot
Consumer Perception and Repeat Usage Intention in Electric Ride-Hailing Services
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