Institutional Repository
Technical University of Crete
Technical University of Crete
EN
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EL
| URI | http://purl.tuc.gr/dl/dias/CEEDD61F-73BD-4D3B-A312-3F74F35C9EE5 | - |
| Identifier | https://doi.org/10.3390/su15075672 | - |
| Identifier | https://www.mdpi.com/2071-1050/15/7/5672 | - |
| Language | en | - |
| Extent | 18 pages | en |
| Title | Effects of connected autonomous vehicles on the energy performance of signal-controlled junctions | en |
| Creator | Wen Yiqing | en |
| Creator | Wang Yibing | en |
| Creator | Zhang Zhao | en |
| Creator | Wu Jiaxin | en |
| Creator | Zhong Liangxia | en |
| Creator | Papageorgiou Markos | en |
| Creator | Παπαγεωργιου Μαρκος | el |
| Creator | Zheng Pengjun | en |
| Publisher | MDPI | en |
| Description | This research was supported in part by the EC H2020 Project (690713). | en |
| Content Summary | This study proposes an optimal control method for connected autonomous vehicles (CAVs) through signalized intersections to reduce the energy consumption of mixed human-driven vehicles (HDVs) and CAV traffic. A real-time optimal control model was developed to optimize the trajectory of each CAV by minimizing energy consumption during the control period while ensuring traffic efficiency and safety. The control conditions of the CAVs were analyzed under different driving scenarios considering the impact of signal phase timing and preceding vehicles. Additionally, a method is proposed for CAVs to guide other vehicles directly and reduce the energy consumption of the entire signalized intersection. Simulation experiments using MATLAB and SUMO were conducted to evaluate the performance of the proposed method under various traffic conditions, such as different levels of saturation, market penetration rates (MPRs), and the green ratio. The performance was measured using average energy consumption and an average time delay. The results show that the proposed method can effectively reduce vehicle energy consumption without compromising traffic efficiency under various conditions. Moreover, under traffic saturation, the proposed method performs better at a high MPR and green ratio, especially at 40–60% MPR. | en |
| Type of Item | Peer-Reviewed Journal Publication | en |
| Type of Item | Δημοσίευση σε Περιοδικό με Κριτές | el |
| License | http://creativecommons.org/licenses/by/4.0/ | en |
| Date of Item | 2025-07-15 | - |
| Date of Publication | 2023 | - |
| Subject | Connected autonomous vehicles | en |
| Subject | Eco-driving method | en |
| Subject | Optimal control | en |
| Subject | Signalized intersections | en |
| Subject | Consumption performance | en |
| Bibliographic Citation | Y. Wen, Y. Wang, Z. Zhang, J. Wu, L. Zhong, M. Papageorgiou and P. Zheng “Effects of connected autonomous vehicles on the energy performance of signal-controlled junctions,” Sustainability, vol. 15, no. 7, Apr. 2023, doi: 10.3390/su15075672. | en |
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