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Wang, X., Lin, X., & Li, M. (2021). Aggregate modeling and equilibrium analysis of the crowdsourcing market for autonomous vehicles. Transportation Research Part C: Emerging Technologies, 132, 103362.This study develops a multimodal transport market model, demonstrating high profitability and welfare improvements associated with the service. Wang, X., Lin, X., Li, M., Xu, Z., & Zhang, K. (2024). Competition of ride-hailing platforms in the era of autonomous vehicles: Heavy or light asset?. Transportation Research Part C: Emerging Technologies, 165, 104732.
This study analyzes the properties of mixed-strategy Nash equilibrium, with results indicating the critical role of supply capacity in shaping market structure. To purchase or to crowdsource: the strategy of an autonomous vehicle ride-hailing platform. Passenger-oriented train timetabling for urban rail transit systems with virtual coupling and stop-skipping. On the operational feasibility of autonomous vehicle crowdsourcing service under heterogeneous supply availability. The 15th POMS HK International Conference (Production and Operations Management Society), Hong Kong, China, 2025. The 14th International Conference on Computational Transportation Science (CTS), Shanghai, China, 2023. Intertemporal mechanism design for autonomous vehicle crowdsourcing services