📣 Help Shape the Future of UKRI's Gateway to Research (GtR)

We're improving UKRI's Gateway to Research and are seeking your input! If you would be interested in being interviewed about the improvements we're making and to have your say about how we can make GtR more user-friendly, impactful, and effective for the Research and Innovation community, please email gateway@ukri.org.

Identification of Traffic Accident Patterns via Cluster Analysis and Test Scenario Development for Autonomous Vehicles (2022)

First Author: Esenturk E

Attributed to: Enabling a Novel Evaluation Continuum for Connected & Autonomous Vehicles (CAV) funded by UKRI FLF

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1109/access.2021.3140052

Publication URI: http://dx.doi.org/10.1109/access.2021.3140052

Type: Journal Article/Review

Parent Publication: IEEE Access