Impact of connected and automated vehicles on traffic flow

Rios Torres, Jackeline; Malikopoulos, Andreas A.

doi:10.1109/ITSC.2017.8317654

Impact of connected and automated vehicles on traffic flow

Conference · Thu Mar 01 04:00:00 EST 2018

DOI:https://doi.org/10.1109/ITSC.2017.8317654· OSTI ID:1435317

^[1]; Malikopoulos, Andreas A. ^[2]

ORNL
University of Delaware

In this paper, we investigate the impact of connected and automated vehicles (CAVs) on traffic flow at merging roadways and develop a microscopic simulation framework to explore the implications on fuel consumption and travel time. In this framework, we use optimal control to simulate the behavior of CAVs and the Gipps car following model to capture the behavior of human-driven vehicles. The simulation results show that CAVs can contribute to significant fuel consumption and travel time reduction for diverse traffic conditions under average and high congestion scenarios. Furthermore, we show that CAVs allow for more stable traffic patterns even for high density traffic.

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Research Organization:: Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)

Sponsoring Organization:: USDOE; USDOE Office of Energy Efficiency and Renewable Energy (EERE)

DOE Contract Number:: AC05-00OR22725

OSTI ID:: 1435317

Country of Publication:: United States

Language:: English

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