Results 11 to 20 of about 823 (185)
Ridesharing with passenger transfers [PDF]
2014 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2014 — Recently, ridesharing mobile applications, which dynamically match passengers to drivers, have begun to gain popularity. These services have the potential to fill empty seats in cars, reduce emissions and enable more efficient transportation. Ridesharing services become even more practical as robotic cars become available to do all the driving.
Brian Coltin, Manuela M. Veloso
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Applied Sciences, 2022 Savings on transportation costs provide an important incentive for shared mobility models in smart cities. Therefore, the problem of maximizing cost savings has been extensively studied in the ridesharing literature.
Fu-Shiung Hsieh
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Multinomial Logit Utility Model for Tanta City Transportation System considering Ridesharing Mode [PDF]
Journal of Engineering Research - Egypt, 2021 Recently, ridesharing has been noticed as an effective and sustainable mode of transport. In which, each passenger carries out a journey that benefits travelers and society greatly, such as reducing travel costs, reducing journey times, relieving road ...
Ahmed Elkafoury +3 more
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Price Cycles in Ridesharing Platforms
, 2023 In ridesharing platforms such as Uber and Lyft, it is observed that drivers sometimes collaboratively go offline when the price is low, and then return after the price has risen due to the perceived lack of supply. This collective strategy leads to cyclic fluctuations in prices and available drivers, resulting in poor reliability and social welfare. We
Chenkai Yu, Hongyao Ma, Adam Wierman
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Human factors concern on autonomous vehicles’ safety, ethics and cost saving for the ridesharing industries [PDF]
Management Science Letters, 2021 Artificial Intelligence (AI) is a motivation for full usage of autonomous driving. Many have predicted that autonomous technology would significantly disrupt the transportation industry.
Bankole K. Fasanya +1 more
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Ridesharing with Driver Location Preferences [PDF]
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019 We study revenue-optimal pricing and driver compensation in ridesharing platforms when drivers have heterogeneous preferences over locations. If a platform ignores drivers' location preferences, it may make inefficient trip dispatches; moreover, drivers may strategize so as to route towards their preferred locations.
Duncan Rheingans-Yoo +3 more
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Incentives for Ridesharing: A Case Study of Welfare and Traffic Congestion
Journal of Advanced Transportation, 2021 Traffic congestion is largely due to the high proportion of solo drivers during peak hours. Ridesharing, in the sense of carpooling, has emerged as a travel mode with the potential to reduce congestion by increasing the average vehicle occupancy rates ...
Changle Song +3 more
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ISPRS International Journal of Geo-Information, 2020 The strong demand on human mobility leads to excessive numbers of cars and raises the problems of serious traffic congestion, large amounts of greenhouse gas emissions, air pollution and insufficient parking space in cities.
Fu-Shiung Hsieh
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Understanding Driver Agency in RideSharing
CoRR, 2023 Agency is an important human characteristic that users of automated complex technologies are usually denied. This affects the user's experience leading to decreased satisfaction and productivity. In this paper, we consider the ridesharing context and interviewed 7 drivers to understand the controls that would improve the agency they feel.
Iyadunni J. Adenuga +1 more
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Stable Matching of Users in a Ridesharing Model
Applied Sciences, 2022 A ridesharing system is a transport mode where two or more users share the same vehicle and divide the trip’s expenses based on similar routes and itineraries.
Daniel Fajardo-Delgado +5 more
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