Assessing the Implications of Automated Merging Control in a Mixed and Heterogeneous Traffic Environment

Autor: Jihun Han, Hyeonsup Lim, Zulqarnain H. Khattak, Chieh Wang, Jackeline Rios-Torres
Rok vydání: 2021
Předmět:
Zdroj: ITSC
DOI: 10.1109/itsc48978.2021.9564523
Popis: Previous efforts to explore the implications of partial market penetration of connected and automated vehicles (CAVs) show a consensus on the benefits of higher market penetration rates (MPR) of vehicles enabled with connectivity and/or automation. There is, however, a level of uncertainty regarding the effects of lower market penetration rates and the consideration of heterogeneous vehicle fleets. Using VISSIM to perform microscopic traffic simulation and, vehicle simulation models, we assess the impacts of different CAVs market penetration rates on fuel consumption considering a heterogeneous traffic environment. The results show that the fuel efficiency benefits of optimal coordination control are maximized in moderate congested scenarios when the CAVs MPR exceeds 40%.
Databáze: OpenAIRE