Data-Driven Optimization for Smart Urban Mobility

Dear Colleagues,

In the 21st century, rapid urbanization and smart city initiatives have contributed to sustainable and efficient mobility becoming a pressing priority. Data-driven optimization now plays a central role in addressing congestion, pollution, and accessibility challenges. By integrating big data analytics, IoT, and artificial intelligence, cities are reshaping transportation planning and real-time management, enabling smarter decisions and improved service delivery. Yet, these advances also raise issues of equity, implementation, and public acceptance. This Topic welcomes the submission of contributions regarding AI and data analytics in transport planning, smart mobility case studies, consumer behavior insights, sustainability impacts, and innovative public–private collaborations. Through interdisciplinary research and practice, we aim to explore strategies that ensure urban transport systems are not only intelligent, but also inclusive, resilient, and sustainable.

Prof. Dr. Zhijie Dong
Dr. Weike Lu
Dr. Tianqi Gu
Topic Editors