CFP (AMCIS 2025): AI and Future Urban Mobility (UrbanMob)

[Yi Zhu]

Dear Colleagues,

Please join us at AMCIS 2025 in Montreal! We invite you to submit your research to our track, AI and Future Urban Mobility.

The “AI and Future Urban Mobility” track delves into the profound changes Artificial Intelligence (AI) is bringing to urban transportation systems. It aims to highlight the forefront of research that merges AI with urban mobility solutions, tackling the hurdles and seizing the opportunities that arise in the ever-changing urban transport landscape. The primary focus is on the innovation and application of autonomous vehicles, AI-powered traffic management and optimization strategies, the development of smart infrastructure, and the customization of transportation services to individual needs.

This track is not just about technological advancements; it also emphasizes the socio-economic impacts of AI on urban mobility. It invites discussions on ensuring equitable access to transportation, safeguarding data privacy, navigating the ethical quandaries of AI implementation, and mitigating the environmental footprint of advanced transportation systems. These considerations are crucial for creating a sustainable, accessible, and ethical urban mobility framework that benefits all city dwellers.

We welcome a diverse range of research contributions, from empirical investigations and design science to analytical modeling and case studies. This inclusivity reflects our commitment to a comprehensive understanding of AI’s role in urban mobility, encompassing a wide array of methodologies and interdisciplinary perspectives. By fostering a dialogue that spans technological innovation and societal impact, the track aims to contribute to the development of urban transportation systems that are not only smarter and more efficient but also fair and environmentally responsible. This holistic approach to integrating AI into urban mobility promises to redefine our cities’ transport landscapes, making them more adaptive and forward-thinking.

In sum, the “AI and Future Urban Mobility” track is a call to action for researchers, policymakers, and industry professionals to collaboratively forge the path towards a future where technology and humanity intersect seamlessly in the realm of urban transportation, ensuring progress that is both innovative and inclusive.

Minitracks:
Autonomous Vehicles and Smart Transportation:
This mini-track invites researchers and industry experts to submit cutting-edge work on the advancements and challenges in the development of self-driving technologies and intelligent transportation systems. We encourage discussions about (but not limited to) innovations in vehicle autonomy, machine learning in transportation and its ethical implications, safety, and reliability of autonomous systems.

Si Liu, Kent State University, sliu38 at kent.edu



Socio-Economic Implications of AI in Urban Mobility:
This mini-track invites submissions that explore how AI-driven technologies, such as autonomous vehicles and smart traffic management, reshape urban mobility economically.

Yi Zhu, Kent State University, yzhu37 at kent.edu



AI in Traffic Management and Optimization:
This minitrack focuses on the integration of artificial intelligence to enhance traffic flow and reduce congestion in urban and regional transportation networks. We invite researchers, engineers, and urban planners to explore innovative AI techniques, such as machine learning, deep learning, reinforcement learning, and federated learning, that are revolutionizing traffic management.

Wenyi Xia, HEC Montréal, wenyi.xia at hec.ca


***IMPORTANT DATES***
*January 13, 2025: System opens for Completed and ERF paper submissions
*February 28, 2025: Submissions are due at 5 p.m. EST

We look forward to your submissions!

Track Chairs:
Yue Guo, Southern University of Science and Technology, guoy at sustech.edu.cn
Xiang Li, Chang AN University, lix at chd.edu.cn
Lean Yu, Sichuan University, yulean at amss.ac.cn

Best,

Yi Zhu
Assistant Professor
Department of Information Systems & Business Analytics
Ambassador Crawford College of Business and Entrepreneurship
Kent State University

-------------- next part --------------
An HTML attachment was scrubbed...
URL: <http://isworld.org/pipermail/aisworld_isworld.org/attachments/20250120/8210e945/attachment.htm>