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Social-Aware Ridesharing

2019 20th IEEE International Conference on Mobile Data Management (MDM), 2019
Ridesharing has been becoming increasingly popular in urban areas worldwide for its low cost and environmental friendliness. There has been much attention on the optimization of costs/detour in shared rides. However, other important factors, such as social comfort and trust issues, have not been fully explored in the existing work in ridesharing.
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Cap-and-trade scheme for ridesharing

2020 IEEE 23rd International Conference on Intelligent Transportation Systems (ITSC), 2020
We present a cap-and-trade scheme for the regulation of ridesharing. As opposed to marginal-pricing schemes, cap-and-trade schemes limit the quantity of transportation. Recognizing that a central authority may not be able to adequately regulate quantity, we let the quantity be determined according to demand for ridesharing. We use demand to compute the
Uros Kalabic, Michael T. C. Chiu
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Reinforcement Learning for Ridesharing: A Survey

2021 IEEE International Intelligent Transportation Systems Conference (ITSC), 2021
In this paper, we present a comprehensive, in-depth survey of the literature on reinforcement learning approaches to ridesharing problems. Papers on the topics of rideshare matching, vehicle repositioning, ride-pooling, and dynamic pricing are covered. Popular data sets and open simulation environments are also introduced.
Zhiwei (Tony) Qin   +2 more
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Uber and ridesharing

2016
This research paper offers a jurisdictional comparison of legislation affecting Uber and other TNCs, within Australia and at an international level.
Dosen, Igor, Rosolen, Helen
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Ridesharing Systems with Electric Vehicles

2019 American Control Conference (ACC), 2019
Ridesharing systems are encouraging drivers in their fleets to adopt electric vehicles and may therefore be able to provide not only transportation services to passengers but also energy services to power grid operators through appropriate contracts. This paper develops a queuing network model of such ridesharing platforms where drivers may decide, at ...
Theodoros Mamalis   +2 more
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Fairness versus Optimality in Ridesharing

2017 18th IEEE International Conference on Mobile Data Management (MDM), 2017
As a spatio-temporal data-management problem, taxi ridesharing has received a lot of attention recently in the database literature. The broader scientific community, and the commercial world have also addressed the issue through services such as UberPool and Lyftline. The issues addressed have been efficient matching of passengers and taxis, fares, and
Ouri Wolfson, Jane Lin 0001
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A theory of multihoming in rideshare competition

Journal of Economics & Management Strategy, 2018
AbstractWe examine competition among ridesharing platforms, where firms compete on both price and the wait time induced with idled drivers. We show that when consumers are the only agents who multihome, idleness is lower in duopoly than when consumers face a monopoly ridesharing platform.
Kevin A. Bryan, Joshua S. Gans
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Profit Optimization in Commercial Ridesharing

International Joint Conference on Autonomous Agents and Multiagent Systems, 2017
Ridesharing is undoubtedly appealing from a sustainability perspective; however, profit optimization is very important for commercial providers. As such, ridesharing offers a valuable opportunity to garner profit by reducing the number of driver-miles that need to be paid for in order to serve the same set of passengers.
Arpita Biswas   +5 more
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Join-based Social Ridesharing

2020 IEEE Fifth International Conference on Data Science in Cyberspace (DSC), 2020
Social ridesharing becomes a promising and attractive solution to settle the trust and safety problems for current ridesharing service. In a typical social ridesharing, drivers and riders submit ride requests and ride offers to the service platform via their smart phones, respectively.
Yu Han   +4 more
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Throughput and Pricing of Ridesharing Systems

IEEE INFOCOM 2019 - IEEE Conference on Computer Communications, 2019
We introduce a queueing model for passengers waiting to get transport by drivers participating in a ridesharing system. The effect of available drivers’ mobility pattern, their willingness to accept rides in a given location, and the incentives offered by the platform, on system throughput is considered.
Costas Courcoubetis, Antonis Dimakis
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