TY - JOUR
T1 - Sustainability Opportunities and Ethical Challenges of AI-Enabled Connected Autonomous Vehicles Routing in Urban Areas
AU - Guo, Rongge
AU - Vallati, Mauro
AU - Wang, Yutong
AU - Zhang, Hui
AU - Chen, Yuanyuan
AU - Wang, Fei-Yue
N1 - Publisher Copyright:
Authors
PY - 2024/1/1
Y1 - 2024/1/1
N2 - The advent of Connected Autonomous Vehicles (CAVs) paves the way to a new era of urban traffic control and management, driven by Artificial Intelligence (AI)-enabled strategies. This advancement promises significant improvements in infrastructure use optimization, traffic delay reduction, and overall sustainability. The autonomous driving capabilities of CAVs, coupled with the communication technology, allow vehicles to play an active role in urban traffic control: they can follow tailored instructions and can act as highly accurate moving sensors for traffic authorities. However, such improved capabilities come at the cost of unprecedented vulnerabilities to cyber exploitation, and with the concrete potential to increase social and economic disparities. As an extension of TIV-DHW (Distributed/Decentralized Hybrid Workshop) on ERS (Ethics, Responsibility, and Sustainability), this letter explores how the AI-enabled routing methodology can enhance urban transportation sustainability while also discussing its ethical implications and challenges it presents.
AB - The advent of Connected Autonomous Vehicles (CAVs) paves the way to a new era of urban traffic control and management, driven by Artificial Intelligence (AI)-enabled strategies. This advancement promises significant improvements in infrastructure use optimization, traffic delay reduction, and overall sustainability. The autonomous driving capabilities of CAVs, coupled with the communication technology, allow vehicles to play an active role in urban traffic control: they can follow tailored instructions and can act as highly accurate moving sensors for traffic authorities. However, such improved capabilities come at the cost of unprecedented vulnerabilities to cyber exploitation, and with the concrete potential to increase social and economic disparities. As an extension of TIV-DHW (Distributed/Decentralized Hybrid Workshop) on ERS (Ethics, Responsibility, and Sustainability), this letter explores how the AI-enabled routing methodology can enhance urban transportation sustainability while also discussing its ethical implications and challenges it presents.
KW - Connected Autonomous Vehicles
KW - Artificial Intelligence
KW - Traffic Routing
KW - Sustainability
KW - Ethics
UR - http://www.scopus.com/inward/record.url?scp=85181569846&partnerID=8YFLogxK
U2 - 10.1109/TIV.2023.3345661
DO - 10.1109/TIV.2023.3345661
M3 - Article
VL - 9
SP - 55
EP - 58
JO - IEEE Transactions on Intelligent Vehicles
JF - IEEE Transactions on Intelligent Vehicles
SN - 2379-8858
IS - 1
M1 - 10368346
ER -
