Personalized Freight Route Recommendations With System Optimality Considerations: A Utility Learning Approach-Reference-Cited by-同舟云学术

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Personalized Freight Route Recommendations With System Optimality Considerations: A Utility Learning Approach

Published:2023-01 Issue:1 Volume:24 Page:400-411
ISSN:1524-9050
Container-title:IEEE Transactions on Intelligent Transportation Systems
language:
Short-container-title:IEEE Trans. Intell. Transport. Syst.

Author:

Papadopoulos Aristotelis-Angelos¹^ORCID,Kordonis Ioannis²^ORCID,Dessouky Maged³^ORCID,Ioannou Petros¹^ORCID

Affiliation:

1. Ming Hsieh Department of Electrical Engineering, University of Southern California, Los Angeles, CA, USA

2. Department of Electrical and Computer Engineering, National Technical University of Athens, Athens, Greece

3. Daniel J. Epstein Department of Industrial and Systems Engineering, University of Southern California, Los Angeles, CA, USA

Funder

National Science Foundation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Science Applications,Mechanical Engineering,Automotive Engineering

Link

https://ieeexplore.ieee.org/ielam/6979/10026638/9928076-aam.pdf

Reference43 articles.

1. Managing network mobility with tradable credits

2. K-means++: The advantages of careful seeding;arthur;Proc 18th Annu ACM-SIAM Symp Discrete Algorithms,2007

3. Incorporating Travel Time Reliability in Equitable Congestion Pricing Schemes for Heterogeneous Users and Bimodal Networks

4. A hybrid implementation mechanism of tradable network permits system which obviates path enumeration: An auction mechanism with day-to-day capacity control

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1. A survey of route recommendations: Methods, applications, and opportunities;Information Fusion;2024-08

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