Exploring the effect of connected autonomous vehicles in mixed traffic flow

Lijing Ma; Shiru Qu; Lijun Song; Bo Liu

doi:10.1117/12.2656036

12 January 2023 Exploring the effect of connected autonomous vehicles in mixed traffic flow

Lijing Ma, Shiru Qu, Lijun Song, Bo Liu

Proceedings Volume 12509, Third International Conference on Intelligent Computing and Human-Computer Interaction (ICHCI 2022); 125090W (2023) https://doi.org/10.1117/12.2656036
Event: Third International Conference on Intelligent Computing and Human-Computer Interaction (ICHCI 2022), 2022, Guangzhou, China

Abstract

CAVs, or connected and autonomous vehicles, have the potential to revolutionize the transportation system by making vehicle driving safer, more comfortable, and more efficient. As a result, there is the question of ensuring that CAVs and conventional vehicles can coexist insightfully. Our goal in this research is to understand better how CAVs can coexist with non-autonomous vehicles, i.e., human-driven vehicles (HVs) on city streets. To use as little energy as possible while maintaining high levels of safety, we apply the optimal control strategy and study the problems when vehicles in mixed traffic flow attempt to merge at on-ramp areas. To verify this approach, we conduct simulations with Python and SUMO. The effect of CAVs on fuel consumption is investigated under different penetration rates and traffic flow volumes. Energy efficiency gains become more significant as CAV penetration increases, whereas traffic volume decreases its significance.

Citation Download Citation

Lijing Ma, Shiru Qu, Lijun Song, and Bo Liu "Exploring the effect of connected autonomous vehicles in mixed traffic flow", Proc. SPIE 12509, Third International Conference on Intelligent Computing and Human-Computer Interaction (ICHCI 2022), 125090W (12 January 2023); https://doi.org/10.1117/12.2656036

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