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Understanding passenger reaction to dynamic prices in ride-on-demand service.

, , , and . PerCom Workshops, page 42-45. IEEE, (2017)

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It Can be Cheaper: Using Price Prediction to Obtain Better Prices from Dynamic Pricing in Ride-on-demand Services., , , , and . MobiQuitous, page 146-155. ACM, (2017)Fine-grained Dynamic Price Prediction in Ride-on-demand Services: Models and Evaluations., , , , , and . Mob. Networks Appl., 25 (2): 505-520 (2020)Batching for Smart Home: Leveraging delay-insensitive workload in cloud storage., , , and . COMSNETS, page 1-8. IEEE, (2015)Understanding passenger reaction to dynamic prices in ride-on-demand service., , , and . PerCom Workshops, page 42-45. IEEE, (2017)Distributing very-large content from cloud to smart home hubs: Measurement and implications., , and . ICC, page 364-369. IEEE, (2015)A Simple but Quantifiable Approach to Dynamic Price Prediction in Ride-on-demand Services Leveraging Multi-source Urban Data., , , , , , and . Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2 (3): 112:1-112:24 (2018)DAVT: An Error-Bounded Vehicle Trajectory Data Representation and Compression Framework., , , and . IEEE Trans. Veh. Technol., 69 (10): 10606-10618 (2020)ROD-Revenue: Seeking Strategies Analysis and Revenue Prediction in Ride-on-Demand Service Using Multi-Source Urban Data., , , , , , , and . IEEE Trans. Mob. Comput., 19 (9): 2202-2220 (2020)DST: Leveraging Delay-Insensitive Workload in Cloud Storage for Smart Home Network., , and . ICCCN, page 1-8. IEEE, (2015)Dynamic Adjustment Policy of Search Driver Matching Distance via Markov Decision Process., , and . ICA3PP (1), volume 13155 of Lecture Notes in Computer Science, page 319-335. Springer, (2021)