Connected and automated vehicles: Infrastructure, applications, security, critical challenges, and future aspects

M Sadaf, Z Iqbal, AR Javed, I Saba, M Krichen… - Technologies, 2023 - mdpi.com
Autonomous vehicles (AV) are game-changing innovations that promise a safer, more
convenient, and environmentally friendly mode of transportation than traditional vehicles …

[HTML][HTML] Logistic autonomous vehicles assessment using decision support model under spherical fuzzy set integrated Choquet Integral approach

SR Bonab, SJ Ghoushchi, M Deveci… - Expert Systems with …, 2023 - Elsevier
Autonomous vehicles (AVs) are the newest products in the intelligent transportation system
that can move around with minimal human intervention. These products continue their path …

Blockchain-empowered digital twins collaboration: smart transportation use case

R Sahal, SH Alsamhi, KN Brown, D O'shea… - Machines, 2021 - mdpi.com
Digital twins (DTs) is a promising technology in the revolution of the industry and essential
for Industry 4.0. DTs play a vital role in improving distributed manufacturing, providing up-to …

Applicability of industry 4.0 technologies in the reverse logistics: a circular economy approach based on comprehensive distance based ranking (COBRA) method

M Krstić, GP Agnusdei, PP Miglietta, S Tadić, V Roso - Sustainability, 2022 - mdpi.com
The logistics sector plays one of the most important roles in the supply chain with the aim of
providing a fast, flexible, safe, economical, efficient, and environmentally acceptable …

[HTML][HTML] A review of unmanned vehicle distribution optimization models and algorithms

J Zhao, H Hu, Y Han, Y Cai - Journal of traffic and transportation …, 2023 - Elsevier
With the development of globalization and artificial intelligence, as well as the outbreak of
COVID-19, unmanned vehicles have played an important role in cargo distribution. In order …

An Interactive Multi-Criteria Decision-Making Approach for Autonomous Vehicles and Distributed Resources Based on Logistic Systems: Challenges for a Sustainable …

A Gamal, M Abdel-Basset, IM Hezam, KM Sallam… - Sustainability, 2023 - mdpi.com
The autonomous vehicle (AV) is one of the emerging technologies of the new age that has
the potential to restructure transportation infrastructure. AVs are able to sense their …

Human memory optimization algorithm: A memory-inspired optimizer for global optimization problems

D Zhu, S Wang, C Zhou, S Yan, J Xue - Expert Systems with Applications, 2024 - Elsevier
With the progress of science and technology, optimization problems have become complex.
Meta-heuristic algorithms have the advantages of high efficiency and strong global search …

Intelligent vehicle scheduling and routing for a chain of retail stores: A case study of Dhaka, Bangladesh

MA Rahman, AA Hossain, B Debnath, ZM Zefat… - Logistics, 2021 - mdpi.com
Background: Retail chains aim to maintain a competitive advantage by ensuring product
availability and fulfilling customer demand on-time. However, inefficient scheduling and …

Combination of proportional hesitant 2-tuple linguistic entropy and ELECTRE III for group decision making: Case study of autonomous vehicles selection

Y Wu, ZA Ji, LS Jin, SH Xiong, ZS Chen - Sustainable Energy Technologies …, 2023 - Elsevier
Different types of autonomous vehicles vary in design manufacturing and technical
performance, and there are many uncertainties and inaccuracies in the selection process …

Autonomous vehicle driving algorithms and smart mobility technologies in big data-driven transportation planning and engineering

A Bennett - Contemporary Readings in Law and Social Justice, 2021 - ceeol.com
The aim of this paper is to synthesize and analyze existing evidence on autonomous vehicle
driving algorithms and smart mobility technologies in big data-driven transportation planning …