The drone scheduling problem: A systematic state-of-the-art review

J Pasha, Z Elmi, S Purkayastha… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
Drones are receiving popularity with time due to their advanced mobility. Although they were
initially deployed for military purposes, they now have a wide array of applications in various …

Blockchain and AI technology convergence: Applications in transportation systems

P Singh, Z Elmi, Y Lau, M Borowska-Stefańska… - Vehicular …, 2022 - Elsevier
The blockchain and artificial intelligence (AI) have been the focal point of innovations and
received increasing attention of the community over the last years. The blockchain …

[HTML][HTML] Internet of Things for sustainable railway transportation: Past, present, and future

P Singh, Z Elmi, VK Meriga, J Pasha… - Cleaner Logistics and …, 2022 - Elsevier
Abstract The Internet of Things (IoT) symbolizes numerous devices which are connected
globally through the internet technology and are able to collect and share relevant data. The …

Development of exact and heuristic optimization methods for safety improvement projects at level crossings under conflicting objectives

P Singh, J Pasha, R Moses, J Sobanjo… - Reliability Engineering & …, 2022 - Elsevier
A significant number of accidents occur each year at level crossings globally. Substantial
efforts are being made by different railway authorities and other stakeholders to prevent …

Train-centric communication based autonomous train control system

H Song, S Gao, Y Li, L Liu… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Driverless train control systems are becoming popular in the world. Notably, this technology
has already been applied for several years. However, these kinds of Automatic Train …

Electric vehicle scheduling: State of the art, critical challenges, and future research opportunities

J Pasha, B Li, Z Elmi, AM Fathollahi-Fard, Y Lau… - Journal of Industrial …, 2024 - Elsevier
Electric vehicles can be perceived as a means to achieve carbon reduction, energy
efficiency, and sustainable development of the transportation industry. Electric vehicle sales …

[Retracted] Deep Learning in Healthcare System for Quality of Service

D Bordoloi, V Singh, S Sanober… - Journal of …, 2022 - Wiley Online Library
Deep learning (DL) and machine learning (ML) have a pivotal role in logistic supply chain
management and smart manufacturing with proven records. The ability to handle large …

Connected vehicle technologies, autonomous driving perception algorithms, and smart sustainable urban mobility behaviors in networked transport systems

E Johnson, E Nica - Contemporary Readings in Law and Social Justice, 2021 - ceeol.com
The aim of this paper is to synthesize and analyze existing evidence on connected vehicle
technologies, autonomous driving perception algorithms, and smart sustainable urban …

Integrated location and routing for cold chain logistics networks with heterogeneous customer demand

G Rahmanifar, M Mohammadi, M Golabian… - Journal of Industrial …, 2024 - Elsevier
The critical interdependence between facility location and vehicle routing is a fundamental
component of cold chain logistics management (CCLM). Furthermore, integrating …

[HTML][HTML] Challenges of replacing train drivers in driverless and unattended railway mainline systems—A Swedish case study on delay logs descriptions

E Jansson, NOE Olsson, O Fröidh - … research interdisciplinary perspectives, 2023 - Elsevier
Currently, the challenges of driverless or unattended train operation have not been
described in detail and are often grouped into one category. This paper contributes to filling …