Ιδρυματικό Αποθετήριο
Πολυτεχνείο Κρήτης
Πολυτεχνείο Κρήτης
EN
|
EL
| URI | http://purl.tuc.gr/dl/dias/CEEDD61F-73BD-4D3B-A312-3F74F35C9EE5 | - |
| Αναγνωριστικό | https://doi.org/10.3390/su15075672 | - |
| Αναγνωριστικό | https://www.mdpi.com/2071-1050/15/7/5672 | - |
| Γλώσσα | en | - |
| Μέγεθος | 18 pages | en |
| Τίτλος | Effects of connected autonomous vehicles on the energy performance of signal-controlled junctions | en |
| Δημιουργός | Wen Yiqing | en |
| Δημιουργός | Wang Yibing | en |
| Δημιουργός | Zhang Zhao | en |
| Δημιουργός | Wu Jiaxin | en |
| Δημιουργός | Zhong Liangxia | en |
| Δημιουργός | Papageorgiou Markos | en |
| Δημιουργός | Παπαγεωργιου Μαρκος | el |
| Δημιουργός | Zheng Pengjun | en |
| Εκδότης | MDPI | en |
| Περιγραφή | This research was supported in part by the EC H2020 Project (690713). | en |
| Περίληψη | 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 |
| Τύπος | Peer-Reviewed Journal Publication | en |
| Τύπος | Δημοσίευση σε Περιοδικό με Κριτές | el |
| Άδεια Χρήσης | http://creativecommons.org/licenses/by/4.0/ | en |
| Ημερομηνία | 2025-07-15 | - |
| Ημερομηνία Δημοσίευσης | 2023 | - |
| Θεματική Κατηγορία | Connected autonomous vehicles | en |
| Θεματική Κατηγορία | Eco-driving method | en |
| Θεματική Κατηγορία | Optimal control | en |
| Θεματική Κατηγορία | Signalized intersections | en |
| Θεματική Κατηγορία | Consumption performance | en |
| Βιβλιογραφική Αναφορά | 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 |
Copyright © DIAS 2013
