Autonomous Driving and Intelligent Routing Systems in Sustainable Future Transportation

Dear Colleagues.

The rapid advancement in technology over the past few decades has paved the way for significant innovations in the sustainable transportation system. Among these innovations, autonomous driving and intelligent routing systems are key and are anticipated to revolutionize the way we travel and manage transportation networks with better sustainability. Autonomous driving refers to the use of artificial intelligence (AI) and advanced sensor technologies to enable vehicles to navigate and operate with less human intervention. Intelligent routing systems leverage real-time data and advanced AI algorithms to optimize traffic flow and route planning. These systems can analyze current traffic conditions, predict future congestion, and suggest the most efficient routes for vehicles. They are integral to smart city initiatives and are designed to enhance the overall efficiency of sustainable transportation networks.

The Special Issue intends to serve as a comprehensive resource that advances our understanding of autonomous driving and intelligent routing systems in sustainable future transportation systems. By bringing together diverse perspectives and cutting-edge research, it aims to contribute to the design of a safer, more efficient, and sustainable future transportation system. The primary objectives of this Special Issue are as follows:

1. Highlighting technological advancements to showcase cutting-edge developments in autonomous driving technologies and intelligent routing systems.
2. Assessing practical applications to evaluate the real-world applications and deployment of autonomous vehicles and intelligent routing systems.
3. Exploring safety and regulatory implications to investigate the safety implications of autonomous driving and the regulatory frameworks required to ensure safe and ethical deployment.
4. Analyzing economic and environmental impacts to analyze the economic benefits and environmental impacts of integrating autonomous driving and intelligent routing systems. This involves examining cost savings, efficiency gains, reductions in emissions, and overall contributions to sustainable transportation.
5. Fostering innovation and collaboration by sharing knowledge and best practices to drive collective progress and multidisciplinary approaches to solving transportation challenges.
6. Guiding future research directions to identify gaps in current knowledge and suggest future research directions. This involves highlighting emerging trends, unresolved issues, and new opportunities for advancing the state of the art in autonomous driving and intelligent routing systems.

For this Special Issue, original research articles and reviews are welcome. Research areas may include, but are not limited to, the following:

• Advances in AI and machine learning for autonomous vehicles;
• Sensor technologies (e.g., LIDAR, radar, cameras);
• Vehicle-to-everything (V2X) communication systems;
• Autonomous vehicle software and hardware integration;
• Real-time data analytics for traffic management;
• Predictive modeling for traffic flow optimization;
• Algorithm development for route planning;
• Integration of intelligent routing with smart city infrastructure;
• Cost–benefit analysis of autonomous and intelligent routing systems;
• Environmental benefits and challenges (e.g., emission reductions);
• Economic implications for industries and job markets;
• Policies for promoting sustainable transportation;
• Emerging technologies in autonomous driving and routing;
• Future research directions and potential breakthroughs;
• Innovative case studies and pilot projects;
• Industry trends and market analysis.

We encourage submissions that provide comprehensive insights, novel methodologies, and practical applications, contributing to the advancement of knowledge in these critical areas of future sustainable transportation systems.

We look forward to receiving your contributions.

Dr. Yinlong Liu
Prof. Dr. Shengyong Ding
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sustainability is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

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