International Journal for Computer-Aided Civil and Infrastructure Engineering
The transportation sector is undergoing rapid transitions influenced by strides in artificial intelligence, robotics and data analytics. These transitions are raising new scientific challenges in the planning, design, operation and management of transportation systems and offer a perspective on congestion mitigation, safety improvement, better sustainability and better resilience in response to incidents. The advent of connected and automated vehicles (CAVs) promises significant advantages but also poses new challenges for understanding the planning, design, operation and control of transportation systems in terms of efficiency, safety, sustainability and resilience. Fundamental issues relate to the emergent behavior of transportation systems with ubiquitous information, distributed sensing and decision making and different levels of automations. As a consequence, the potential benefits of these technologies on mobility and safety and the implications on the design and level equipment of roadway infrastructure are unclear. New traffic flow models, data analysis, computational frameworks and network control approaches are needed to obtain insight into the dynamic behaviour of transportations systems in the presence of CAVs and understand the impacts.
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