A Probabilistic Approach for Demand-Aware Ride-Sharing Optimization-Reference-Cited by-同舟云学术

A Probabilistic Approach for Demand-Aware Ride-Sharing Optimization

Published:2019-07-02 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the Twentieth ACM International Symposium on Mobile Ad Hoc Networking and Computing
language:
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Author:

Lin Qiulin¹,Xu Wenjie¹,Chen Minghua¹,Lin Xiaojun²

Affiliation:

1. Information Engineering, The Chinese University of Hong Kong

2. Electrical and Computer Engineering, Purdue University

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3323679.3326512

Reference33 articles.

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2. OpenStreetMap. https://www.openstreetmap.org. OpenStreetMap. https://www.openstreetmap.org.

3. New York City Mobility Report. http://www.nyc.gov/html/dot/downloads/pdf/mobility-report-2016-screen-optimized.pdf. New York City Mobility Report. http://www.nyc.gov/html/dot/downloads/pdf/mobility-report-2016-screen-optimized.pdf.

4. Optimization for dynamic ride-sharing: A review

5. Alabbasi A. Ghosh A. and Aggarwal V. Deeppool: Distributed model-free algorithm for ridesharing using deep reinforcement learning. arXiv preprint arXiv:1903.03882 (2019). Alabbasi A. Ghosh A. and Aggarwal V. Deeppool: Distributed model-free algorithm for ridesharing using deep reinforcement learning. arXiv preprint arXiv:1903.03882 (2019).

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