Driver behavior analysis in diverging area based on driving simulation-Reference-Cited by-同舟云学术

Driver behavior analysis in diverging area based on driving simulation

Published:2023-11-24 Issue: Volume:25 Page:574-579
ISSN:
Container-title:Proceedings of the 2023 3rd International Conference on Big Data, Artificial Intelligence and Risk Management
language:
Short-container-title:

Author:

Gao Xiaoduo¹^ORCID,Li Yanhu²^ORCID,Zheng Zhaoyu³^ORCID,Zhao Tao⁴^ORCID,Liu Xiaolei¹^ORCID,Wu Jianqing⁴^ORCID

Affiliation:

1. Jinan Xiantou Urban Development Investment Group Co., China

2. Jinan Xiantou Xinchuang Urban Development and Construction Co., China

3. Governing Board of Jinan Start-up Area for Growth Drivers Transformation, China

4. School of Qilu Transportation, Shandong University, China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3656766.3656863

Reference13 articles.

1. Crash frequency analysis of left-side merging and diverging areas on urban freeway segments – A case study of I-75 through downtown Dayton, Ohio

2. Research on potential crash risk in freeway merging and diverging areas;Meng X.;China Safety Science Journal(CSSJ), Article,2015

3. Exploring factors contributing to injury severity at freeway merging and diverging locations in Ohio

4. Classification of Driving Style Using Simplified Features of Headway Under the Connected Vehicles Environment;Lyu N.;Journal of Transport Information and Safety, Article,2022

5. N. M. Yusof, J. Karjanto, J. Terken, F. Delbressine, MZ. Hassan, M. Rauterberg, "The Exploration of Autonomous Vehicle Driving Styles: Preferred Longitudinal, Lateral, and Vertical Accelerations," presented at the 8TH INTERNATIONAL CONFERENCE ON AUTOMOTIVE USER INTERFACES AND INTERACTIVE VEHICULAR APPLICATIONS (AUTOMOTIVEUI 2016), 2016, 2016. Proceedings Paper.