Monday, May 24, 2021

[DMANET] Call for papers: "Artificial Intelligence Approaches for Green Transportation Planning" (Journal of Advanced Transportation; Hindawi-Wiley)

Special Issue: Artificial Intelligence Approaches for Green Transportation
(Journal of Advanced Transportation; Hindawi-Wiley)
Deadline: 13 of August of 2021

----------------------------- CALL FOR PAPERS

Artificial Intelligence Approaches for Green Transportation Planning

Green and environmentally transport planning is a current challenge for
public and private organizations demanding the implementation of innovative
and advanced transport solutions to reduce environmental and social impacts
in their operations. In this context, current trends are calling for the
incorporation of novel strategies and approaches in transport systems for
reducing energy usage as well as waste and pollution generation. The
consideration of that goal and the connection to this green dimension leads
to the need of developing and reviewing current models and methods at the
light of modern transport solutions and technologies, e.g., energy reuse,
alternative fuels, hybrid and green-energy based vehicles, autonomous
vehicles, collaborative planning, truck platooning, to name a few.

The previous discussion results in a current keen interest in the
development of solutions, approaches, and methodologies that can assist
managers and decision-makers in the design and development of
transportation systems while jointly considering environmental-related
advances. This can be certainly progressed by better collecting,
processing, and using data within quantitative and decision support
approaches. Furthermore, with the incorporation of new smart transport
technologies as well as advances from artificial intelligence such as
machine learning, meta-learning, etc., significant effects can be obtained.
In this way, to properly capture and utilize the full potential of latest
developments, it is necessary to consider and analyze how artificial
intelligence approaches and decision support systems can jointly foster
efficient and environmentally-friendly transport operations.

This special issue aims at examining the current progress on artificial
intelligence approaches for designing, developing, and promoting green and
sustainable transportation systems through optimization, intelligent use of
data, and advanced decision support. This also involves the incorporation
of smart and current transportation solutions, e.g., unmanned and
autonomous vehicles, IoT, truck platooning, etc. Thus, this issue will
provide readers with high-quality contributions exploring and dealing with
transportation problems within the interplay between transportation
management, planning, and green logistics. The scope of this issue,
therefore, will cover relevant research and reviews focusing on the
incorporation and use of advanced transport technologies and artificial
intelligence techniques to support and enhance transport planning while
promoting green development and mitigating negative environmental impacts.

Potential topics include but are not limited to the following:
- Maritime, land, air, and multimodal transportation
- Artificial intelligence techniques for green transport planning
- Quantitative evaluation of green transportation systems
- Theoretical and/or empirical analysis of AI approaches in green
- Intelligent techniques for online and offline planning
- Joint use of artificial intelligence and mathematical programming
- Sustainability in advanced transportation systems
- Advances in vehicle routing problems within green logistics
- Combination of artificial intelligence and operations research to address
sustainable planning
- Data-driven planning approaches considering environmental-related features
- Smart transport solutions to reduce environmental impacts
- Emerging transport technologies to support synchromodal transport network
- Collaborative transport management to reduce waste and emissions
- Use of autonomous vehicles and its impact to reduce emissions
- Heuristics, metaheuristics, and hyper heuristics-based systems
- Integrating real-time information into the optimization frameworks
- Transportation approaches with shared infrastructure and resources

Submission deadline:
13 August 2021
Papers are published upon acceptance, regardless of the Special Issue
publication date.

Lead Guest Editor:
- Eduardo Lalla-Ruiz, University of Twente, Enschede, Netherlands

Guest Editors:
- Rosa G. Gonzalez-Ramirez, Universidad de Los Andes Chile, Santiago,
- Carlos Castro, University Federico Santa Maria, Valparaiso, Chile
- Frederik Schulte, Delft University of Technology, Delft, Netherlands

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