Smart roads, AV and CAV are emerging technologies that represent the new paradigm of mobility. To support the public and private road operators better prepare themselves to implement these technologies in their respective existing or planned infrastructures, there is an urgent need to develop an integrated analysis framework to evaluate the impact of these novel systems on road capacity and safety in function of different market penetration levels of AVs and CAVs. The research focuses on novel smart road geometric design and review criteria based on the performance of AVs and CAVs. The case study of one of the first planned smart roads in Italy has been analysed.

Smart Roads Geometric Design Criteria and Capacity Estimation Based on AV and CAV Emerging Technologies: A Case Study in the Trans-European Transport Network / Guerrieri, Marco. - In: INTERNATIONAL JOURNAL OF INTELLIGENT TRANSPORTATION SYSTEMS RESEARCH. - ISSN 1868-8659. - 19:2(2021), pp. 429-440. [10.1007/s13177-021-00255-4]

Smart Roads Geometric Design Criteria and Capacity Estimation Based on AV and CAV Emerging Technologies: A Case Study in the Trans-European Transport Network

Guerrieri, Marco
2021-01-01

Abstract

Smart roads, AV and CAV are emerging technologies that represent the new paradigm of mobility. To support the public and private road operators better prepare themselves to implement these technologies in their respective existing or planned infrastructures, there is an urgent need to develop an integrated analysis framework to evaluate the impact of these novel systems on road capacity and safety in function of different market penetration levels of AVs and CAVs. The research focuses on novel smart road geometric design and review criteria based on the performance of AVs and CAVs. The case study of one of the first planned smart roads in Italy has been analysed.
2021
2
Guerrieri, Marco
Smart Roads Geometric Design Criteria and Capacity Estimation Based on AV and CAV Emerging Technologies: A Case Study in the Trans-European Transport Network / Guerrieri, Marco. - In: INTERNATIONAL JOURNAL OF INTELLIGENT TRANSPORTATION SYSTEMS RESEARCH. - ISSN 1868-8659. - 19:2(2021), pp. 429-440. [10.1007/s13177-021-00255-4]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11572/302850
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