[hpc-announce] CFP: Special issue on Intelligent solutions for efficient logistics and sustainable transportation (Applied Soft Computing)

Bernabe Dorronsoro bernabe.cfp at gmail.com
Thu Apr 9 05:15:12 CDT 2020

*** Apologies for cross-posting. Please forward to colleagues who might be interested ***

Dear Colleague,
We would like to cordially invite you to submit a paper for the Special issue “Intelligent solutions for efficient logistics and sustainable transportation” (SI: Sustainable Transportation) in the prestigious Applied Soft Computing (ASOC) journal: https://www.journals.elsevier.com/applied-soft-computing/call-for-papers/intelligent-solutions-for-efficient-logistics-and-sustainabl <https://www.journals.elsevier.com/applied-soft-computing/call-for-papers/intelligent-solutions-for-efficient-logistics-and-sustainabl>

Applied Soft Computing
ISSN: 1568-4946
Impact Factor: 4.873

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;

All submitted papers related to the listed topics will be considered for publication in this special issue, provided they are recommended for publication after the review process. All manuscripts submission and review will be handled by Elsevier System https://ees.elsevier.com/asoc/default.asp <https://ees.elsevier.com/asoc/default.asp>. All papers should be prepared according to ASOC Guide for Authors.
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.
Guest Editors Team: 
Dr Daniel Urda - University of Burgos (Spain), durda at ubu.es <mailto:durda at ubu.es>
Dr Patricia Ruiz - University of Cadiz (Spain), patricia.ruiz at uca.es <mailto:patricia.ruiz at uca.es>
Prof El Ghazali Talbi - University of Lille (France), el-ghazali.talbi at univ-lille.fr <mailto:el-ghazali.talbi at univ-lille.fr>
Prof Pascal Bouvry - University of Luxembourg (Luxembourg), pascal.bouvry at uni.lu <mailto:pascal.bouvry at uni.lu>
Dr Jamal Toutouh - Massachusetts Institute of Technology (USA), toutouh at mit.edu <mailto:toutouh at mit.edu>

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