Urban areas are facing unprecedented challenges due to rapid population growth, increasing demand for mobility, and pressing sustainability goals. Traditional transportation systems often struggle to balance efficiency, accessibility, and environmental responsibility. At the same time, advances in digital technologies—such as the Internet of Things, artificial intelligence, and big data—are transforming the way cities can design, operate, and manage their transport infrastructures. Against this backdrop, there is a critical need for intelligent, integrated, and sustainable mobility solutions that foster livable, resilient, and inclusive urban environments.
This Research Topic invites original research, reviews, and case studies that explore:
- Smart city integration: Leveraging IoT, big data analytics, and AI in optimizing urban mobility.
- Smart transport & mobility systems: Innovations in autonomous vehicles, public transport, shared mobility platforms, infrastructure-to-vehicle coordination, traffic management, and active mobility.
- Sustainability and environmental impact: Approaches reducing pollution, optimizing energy consumption, and promoting eco-friendly transport modes. Quantifying, modeling, or mitigating the environmental impacts of transportation networks.
- Social and affordable transport: Strategies and policies to ensure equitable access to mobility, enhance affordability of public and shared transport, and address the social dimensions of transportation systems, including inclusivity, safety, accessibility for vulnerable groups, and community well-being.
- Simulation, optimization, and computer modeling: Development and application of advanced models, digital twins, AI-driven simulation for traffic forecasting, transport planning, and policy analysis.
- Decision support tools: Development of managerial systems to improve decision-making of urban transport stakeholders and policymakers.
Article types and fees
This Research Topic accepts the following article types, unless otherwise specified in the Research Topic description:
Brief Research Report
Data Report
Editorial
FAIR² Data
FAIR² DATA Direct Submission
Hypothesis and Theory
Methods
Mini Review
Opinion
Articles that are accepted for publication by our external editors following rigorous peer review incur a publishing fee charged to Authors, institutions, or funders.
Article types
This Research Topic accepts the following article types, unless otherwise specified in the Research Topic description:
Important note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.