Yi, P., & Alqubaysi, T. (2023). Impact Analysis of Roadway Surface and Vehicle Conditions on Fleet Formation for Connected and Automated Vehicles (Report No. UA-CETran-2023-03). Center for Connected and Automated Transportation. Purdue University. https://rosap.ntl.bts.gov/view/dot/73989
Yi, Ping and Tariq Alqubaysi. Impact Analysis of Roadway Surface and Vehicle Conditions on Fleet Formation for Connected and Automated Vehicles. Report no. UA-CETran-2023-03. Center for Connected and Automated Transportation. Purdue University, 2023. https://rosap.ntl.bts.gov/view/dot/73989.
Yi, Ping, and Tariq Alqubaysi Impact Analysis of Roadway Surface and Vehicle Conditions on Fleet Formation for Connected and Automated Vehicles. Center for Connected and Automated Transportation. Purdue University, 2023, Report no. UA-CETran-2023-03, ROSA P. https://rosap.ntl.bts.gov/view/dot/73989.
Taking advantage of the rapid development of vehicle control and communication technologies, many studies have suggested that operating vehicles in platoons in the future would help improve the safety and efficiency of the transportation system. Although vehicles in a platoon can share data from V2/V communication, a platoon model built on proper control laws is needed to keep the formation of the vehicle fleet and take the real advantage in platoon operations in an environment encompassing different pavement, roadway, and tire conditions. This research introduces a platoon model using a headway-based distance control policy to maintain stability and reduce errors in inter-vehicle spacing. After defining the stability condition and estimating the model parameters, simulation runs are carried out to show that the proposed model is able to keep a small inter-vehicle spacing, follow leader vehicle’s speed, and adjust for changes in acceleration by all the vehicles in the platoon under the influence of vehicle characteristics and roadway frictions.
Yi, P., & Alqubaysi, T. (2023). Impact Analysis of Roadway Surface and Vehicle Conditions on Fleet Formation for Connected and Automated Vehicles (Report No. UA-CETran-2023-03). Center for Connected and Automated Transportation. Purdue University. https://rosap.ntl.bts.gov/view/dot/73989
Yi, Ping and Tariq Alqubaysi. Impact Analysis of Roadway Surface and Vehicle Conditions on Fleet Formation for Connected and Automated Vehicles. Report no. UA-CETran-2023-03. Center for Connected and Automated Transportation. Purdue University, 2023. https://rosap.ntl.bts.gov/view/dot/73989.
Yi, Ping, and Tariq Alqubaysi Impact Analysis of Roadway Surface and Vehicle Conditions on Fleet Formation for Connected and Automated Vehicles. Center for Connected and Automated Transportation. Purdue University, 2023, Report no. UA-CETran-2023-03, ROSA P. https://rosap.ntl.bts.gov/view/dot/73989.
ROSA P serves as an archival repository of USDOT-published products including scientific
findings, journal articles, guidelines, recommendations, or other information authored or co-authored by
USDOT or funded partners. As a repository, ROSA P retains documents in their original published format to
ensure public access to scientific information.
Links with this icon indicate that you are leaving a Bureau of Transportation
Statistics (BTS)/National Transportation Library (NTL)
Web-based service.
Thank you for visiting.
You are about to access a non-government link outside of
the U.S. Department of Transportation's National
Transportation Library.
Please note: While links to Web sites outside of DOT are
offered for your convenience, when you exit DOT Web sites,
Federal privacy policy and Section 508 of the Rehabilitation
Act (accessibility requirements) no longer apply. In
addition, DOT does not attest to the accuracy, relevance,
timeliness or completeness of information provided by linked
sites. Linking to a Web site does not constitute an
endorsement by DOT of the sponsors of the site or the
products presented on the site. For more information, please
view DOT's Web site linking policy.
To get back to the page you were previously viewing, click
your Cancel button.