Urban infrastructure design principles for connected and autonomous vehicles: a case study of Oxford, UK

Huazhen Liu, Miao Yang, Cheng He Guan, Yi Samuel Chen, Michael Keith, Meizi You, Monica Menendez

Research output: Contribution to journalArticlepeer-review


Connected and Autonomous Vehicles (CAVs) are reshaping urban systems, demanding substantial computational support. While existing research emphasizes the significance of establishing physical and virtual infrastructure to facilitate CAV integration, a comprehensive framework for designing CAV-related infrastructure principles remains largely absent. This paper introduces a holistic framework that addresses gaps in current literature by presenting principles for the design of CAV-related infrastructure. We identify diverse urban infrastructure types crucial for CAVs, each characterized by intricate considerations. Deriving from existing literature, we introduce five principles to guide investments in physical infrastructure, complemented by four principles specific to virtual infrastructure. These principles are expected to evolve with CAV development and associated technology advancements. Furthermore, we exemplify the application of these principles through a case study in Oxford, UK. In doing so, we assess urban conditions, identify representative streets, and craft CAV-related urban infrastructure tailored to distinct street characteristics. This framework stands as a valuable reference for cities worldwide as they prepare for the increasing adoption of CAVs.

Original languageEnglish (US)
Article number34
JournalComputational Urban Science
Issue number1
StatePublished - Dec 2023


  • Connected and autonomous vehicles
  • Design principles
  • Oxford
  • Physical infrastructure
  • Virtual infrastructure

ASJC Scopus subject areas

  • Environmental Science (miscellaneous)
  • Artificial Intelligence
  • Computer Science Applications
  • Urban Studies


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