Artificial Neural Network Models for the Wander Effect for Connected and Autonomous Vehicles to Minimize Pavement Damage

Author:

Pais JorgeORCID,Thives Liseane,Pereira Paulo

Publisher

Springer Nature Switzerland

Reference7 articles.

1. Zhou F et al (2019) Optimization of lateral wandering of automated vehicles to reduce hydroplaning potential and to improve pavement life. Transp Res Rec 2673:81–89. https://doi.org/10.1177/0361198119853560

2. United Nations (UN) (2020) Revised framework document on automated/autonomous vehicles. In: Proceedings of the world forum for harmonization of vehicle regulations (WP.29), 180th Session, Geneva, Switzerland, 10–12 March 2020

3. Noorvand H, Karnati G, Underwood BS (2017) Autonomous vehicles: assessment of the implications of truck positioning on flexible pavement performance and design. Transp Res Rec 2640:21–28

4. Rana M (2021) Effects of autonomous vehicles on pavement distress & road safety and pavement distress optimization. Master’s thesis, Memorial University of Newfoundland, St. John’s, NL, Canada

5. Gungor OE, She R, Al-Qadi IL, Ouyang Y (2018) Optimization of lateral position of autonomous trucks, Report No. ICT-20–009; Center for Connected and Automated Transportation University of Michigan Transportation Research Institute 2901 Baxter Road: Ann Arbor, MI, USA

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