Results 11 to 20 of about 2,820 (224)
, 2022 De hedendaagse verkeersproblematiek en hoe dynamic ridesharing hier een oplossing aan kan bieden.
de Bock, Mattias
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The ambivalence of ridesharing
Transportation, 2006 Ridesharing is quite a popular topic of discussion among transport authority personnel. It is perceived to be a viable alternative to classical modes of transportation, and receives a great deal of political support from transport planners. However, not much objective information is available on ridesharing behaviors. We use travel survey data to study
Catherine Morency
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Ridesharing-Inspired Trip Recommendations
2018 19th IEEE International Conference on Mobile Data Management (MDM), 2018 The objective of this paper is to determine how ridesharing can help lowering the travel cost of a user who already has a preplanned trip. This problem is formulated as the Ridesharing-Inspired Trip Recommendation Query (RSTR). In the first phase of the proposed method, the trip of the query initializer is matched with other users. In the second phase,
Sanjay Madria, San Yeung, Katrina Ward
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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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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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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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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
doaj +1 more source
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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