Intelligent solutions for efficient logistics and sustainable transportation

Managing Guest Editor:

Dr. Daniel Urda, University of Burgos, Spain

Guest Editors:

Dr. Patricia Ruiz, University of Cadiz, Spain

Prof. El Ghazali Talbi, University of Lille, France

Prof. Pascal Bouvry, University of Luxembourg, Luxembourg

Dr. Jamal Toutouh, Massachusetts Institute of Technology

Description

Over one-quarter of the global CO2 emissions are due to the transport sector, and among all means of transport, the road accounts for 74%. Solutions for reducing the emissions are vital for reaching the global climate target, set by the COP 21 Paris Agreement. However, road transportation is the backbone for most of the countries’ economy, and changes might influence on many other related sectors. It will require a lot of public effort in terms of establishing policies and providing financial assistance, passengers’ effort in terms of changing their mobility habits, and industry effort in terms of a complete update in their logistic process. Therefore, special attention is required for providing an integrated solution that leads to a sustainable and efficient road transport system whose ultimate goal is to improve passenger and trade mobility, strengthen cohesion and economy, and increase competitiveness while mitigating environmental, social and economic impacts. In this sense, any of these scenarios need to address difficult challenges which may potentially require the use of intelligent solutions and optimization strategies to achieve the expected goals.

The purpose of this special issue is to collect the main recent trends targeting the design of novel innovative solutions based on cutting-edge artificial intelligence tools, optimization strategies and relevant high-impact applications in sustainable road transportation and efficient logistics. High-quality research works covering these areas are welcome including but not limited to:

• Improvement of logistic processes;
• Innovative solutions to the growing mobility using ICT capabilities;
• Intelligent traffic management;
• Minimization of transport’s impact on climate and environment;
• Low-emission freight transport systems and logistics;
• Intelligent strategies for vehicle electrification;
• Efficient multimodal transport network;
• Intelligent zero-emissions strategies and spatial planning;
• Driving behaviour exploration;
• Resources management;
• Process optimization;
• Air pollution/Smart environment;
• Big data, data science and visual analytics;
• Green transportation;

Important Dates

Opens for submission: May 15th, 2020.

Deadline for paper submission: November 15th, 2020.

Notification of results: 2-3 months after submission.

Final acceptance: April 30th, 2021.

Submission Instructions

Paper submissions for the special issue should follow the submission format and guidelines for regular papers and submitted at https://ees.elsevier.com/asoc. All the papers will be peer-reviewed following Applied Soft Computing reviewing procedures. Guest editors will make an initial assessment of the suitability and scope of all submissions. Papers will be evaluated based on their originality, presentation, relevance and contributions, as well as their suitability to the special issue. Papers that either lack originality, clarity in presentation or fall outside the scope of the special issue will not be sent for review. Authors should select ” SI: Sustainable Transportation” when they reach the “Article Type” step in the submission process. The submitted papers must propose original research that has not been published nor currently under review in other venues.