Autonomous driving paper index
Operational Matching Efficiency and Market Power: Role of Autonomous Vehicles in the Ride-Hailing Market
One-line summary
This paper explores how autonomous vehicles (AVs) reshape matching efficiency and market power in ride-hailing.
Engineering notes
Key topics: autonomous driving, autonomous vehicle. See the paper for implementation details and experimental results.
Chinese explanation / 中文解读
中文解读待补充：本站会优先为端到端自动驾驶、BEV感知、3D目标检测、轨迹预测、路径规划、LiDAR感知等高价值论文补充中文说明。
Original abstract
This paper explores how autonomous vehicles (AVs) reshape matching efficiency and market power in ride-hailing. Unlike human drivers, AVs operate under centralized algorithms, decoupling service quality from physical fleet size and creating a "capacity paradox". Using a game-theoretic Hotelling model, we analyze market equilibria under independent competition and strategic partnership regimes. We reveal that AV matching efficiency exerts a non-linear impact on capacity and pricing. In competition, high algorithmic precision paradoxically incentivizes the AV platform to shrink its fleet to minimize capital expenditures. In a partnership, the unified platform leverages pricing to either prevent cannibalization or accelerate consumer migration to AVs, contingent on the human-driven fleet's cost-effectiveness. This study provides novel insights into platform strategy and the welfare implications of autonomous mobility integration.
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