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1 August 2022 Cooperative adaptive cruise control for connected and automated vehicles under a moving bottleneck
Aobo Zhang, Xiao Han, Bin Jia, Rui Jiang
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Proceedings Volume 12257, 4th International Conference on Information Science, Electrical, and Automation Engineering (ISEAE 2022); 122573A (2022) https://doi.org/10.1117/12.2639558
Event: 4th International Conference on Information Science, Electrical, and Automation Engineering (ISEAE 2022), 2022, Guangzhou, China
Abstract
To achieve carbon peaking and carbon neutrality goals under the new development philosophy, environmentally friendly autonomous driving has become one of the focuses of the automobile industry. It is essential to optimize the fuel consumption in the modeling studies conducted on the trajectories of autonomous vehicles. Moving bottlenecks caused by low-speed vehicles may influence traffic efficiency and generate extra fuel consumption. The emergence of connected self-driving technology makes communications among vehicles and better trajectory control possible. This paper investigates the effects of cooperative adaptive cruise control on fuel consumption under a moving bottleneck. The moving bottleneck is caused by the overtaking of trucks on a two-lane expressway. Our analysis results indicate that cooperative adaptive cruise control can efficiently reduce fuel consumption under the moving bottleneck compared with Gipps’ carfollowing model. Also, the optimization efficiency of cooperative adaptive cruise control increases as the control distance decreases and the initial speed increases.
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Aobo Zhang, Xiao Han, Bin Jia, and Rui Jiang "Cooperative adaptive cruise control for connected and automated vehicles under a moving bottleneck", Proc. SPIE 12257, 4th International Conference on Information Science, Electrical, and Automation Engineering (ISEAE 2022), 122573A (1 August 2022); https://doi.org/10.1117/12.2639558
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KEYWORDS
Adaptive control
Control systems
Roads
Performance modeling
Numerical simulations
Safety
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