A data-driven framework to identify human-critical autonomous vehicle testing and deployment zones-Reference-Cited by-同舟云学术

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A data-driven framework to identify human-critical autonomous vehicle testing and deployment zones

Published:2021-11-02 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 14th ACM SIGSPATIAL International Workshop on Computational Transportation Science
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Author:

Aziz H M Abdul¹,Islam A M Hasibul¹

Affiliation:

1. Kansas State University

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3486629.3490692

Reference31 articles.

1. An empirical assessment of fixed and random parameter logit models using crash- and non-crash-specific injury data

2. Exploring the determinants of pedestrian–vehicle crash severity in New York City

3. Exploring the determinants of pedestrian–vehicle crash severity in New York City

4. CA DMV. 2020. Report of Traffic Collision Involving an Autonomous Vehicle. 316 (2020) 2--4. CA DMV. 2020. Report of Traffic Collision Involving an Autonomous Vehicle. 316 (2020) 2--4.

5. Calofronia DMV. 2021. Autonomous Vehicle Collision Reports. Department of Motor Vehicles. Calofronia DMV. 2021. Autonomous Vehicle Collision Reports. Department of Motor Vehicles.

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A Survey on Automated Driving System Testing: Landscapes and Trends;ACM Transactions on Software Engineering and Methodology;2023-07-24

2. The 14th ACM SIGSPATIAL International Workshop on Computational Transportation Science (IWCTS 2021), Beijing, China;SIGSPATIAL Special;2021-11

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