Abstract
In this paper, a problem to jointly optimize the performances of vehicular traffic flow, i.e., the total time spent, the number of stop-and-go movements, and the total emissions, is handled to investigate and discuss the effectiveness of the penetration rates of cooperatively controlled vehicles in mixed traffic. A simulation-based solution is sought over the SUMO micro-simulation environment considering three hypothetical road networks and varying demand profiles.
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Ali Silgu, M., Goksad Erdagi, I., Berk Celikoglu, H. (2020). Analyzing Network-Wide Effects of Cooperative Adaptive Cruise Control Without Traffic Signal Control at Intersections. In: Moreno-Díaz, R., Pichler, F., Quesada-Arencibia, A. (eds) Computer Aided Systems Theory – EUROCAST 2019. EUROCAST 2019. Lecture Notes in Computer Science(), vol 12014. Springer, Cham. https://doi.org/10.1007/978-3-030-45096-0_10
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