Optimizing Road Traffic Surveillance: A Robust Hyper-Heuristic Approach for Vehicle Segmentation-Reference-Cited by-同舟云学术

Optimizing Road Traffic Surveillance: A Robust Hyper-Heuristic Approach for Vehicle Segmentation

Published:2024 Issue: Volume:12 Page:29503-29524
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Rodríguez-Esparza Erick¹^ORCID,Ramos-Soto Oscar²^ORCID,Masegosa Antonio D.¹^ORCID,Onieva Enrique¹^ORCID,Oliva Diego²^ORCID,Arriandiaga Ander¹,Ghosh Arka¹

Affiliation:

1. DeustoTech, Faculty of Engineering, University of Deusto, Bilbao, Spain

2. Departamento de Ingeniería Electro-Fotónica, CUCEI, Universidad de Guadalajara, Guadalajara, Jalisco, Mexico

Funder

University of Deusto Research Training Grants Programme through Spanish Ministry of Science and Innovation

Basque Government

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6287639/10380310/10443601.pdf?arnumber=10443601

Reference90 articles.

1. Last-mile delivery concepts: a survey from an operational research perspective

2. Urban Freight Last Mile Logistics—Challenges and Opportunities to Improve Sustainability: A Literature Review

3. The Adoption of Green Vehicles in Last Mile Logistics: A Systematic Review

4. Last-mile logistics fulfilment: A framework for energy efficiency

5. Toward a Modern Last-Mile Delivery: Consequences and Obstacles of Intelligent Technology

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