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View all- Otaki KNishi TShiga TKashiwakura T(2022)Optimization-based Predictive Approach for On-Demand TransportationPRICAI 2022: Trends in Artificial Intelligence10.1007/978-3-031-20868-3_34(466-477)Online publication date: 10-Nov-2022
Throughput-fairness tradeoffs in mobility platforms
Authors: 
Arjun Balasingam, Karthik Gopalakrishnan, Radhika Mittal, Venkat Arun, 
Ahmed Saeed, Mohammad Alizadeh, Hamsa Balakrishnan, Hari BalakrishnanAuthors Info & Claims
Arjun Balasingam, Karthik Gopalakrishnan, Radhika Mittal, Venkat Arun, Ahmed Saeed, Mohammad Alizadeh, Hamsa Balakrishnan, Hari BalakrishnanAuthors Info & ClaimsPages 363 - 375
Abstract
This paper studies the problem of allocating tasks from different customers to vehicles in mobility platforms, which are used for applications like food and package delivery, ridesharing, and mobile sensing. A mobility platform should allocate tasks to vehicles and schedule them in order to optimize both throughput and fairness across customers. However, existing approaches to scheduling tasks in mobility platforms ignore fairness.
We introduce Mobius, a system that uses guided optimization to achieve both high throughput and fairness across customers. Mobius supports spatiotemporally diverse and dynamic customer demands. It provides a principled method to navigate inherent tradeoffs between fairness and throughput caused by shared mobility. Our evaluation demonstrates these properties, along with the versatility and scalability of Mobius, using traces gathered from ridesharing and aerial sensing applications. Our ridesharing case study shows that Mobius can schedule more than 16,000 tasks across 40 customers and 200 vehicles in an online manner.
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June 2021
528 pages
ISBN:9781450384438
DOI:10.1145/3458864
- General Chair:
- Suman Banerjee,
- Program Chairs:
- Luca Mottola,
- Xia Zhou
Copyright © 2021 Owner/Author.
This work is licensed under a Creative Commons Attribution-ShareAlike International 4.0 License.
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Published: 24 June 2021
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View all- Otaki KNishi TShiga TKashiwakura T(2022)Optimization-based Predictive Approach for On-Demand TransportationPRICAI 2022: Trends in Artificial Intelligence10.1007/978-3-031-20868-3_34(466-477)Online publication date: 10-Nov-2022
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