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Ιδρυματικό Αποθετήριο [SANDBOX]
Πολυτεχνείο Κρήτης
Πολυτεχνείο Κρήτης
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| URI: | http://purl.tuc.gr/dl/dias/D142DF21-33A5-4565-A40A-7E00527929C0 | ||
| Έτος | 2022 | ||
| Τύπος | Πλήρης Δημοσίευση σε Συνέδριο | ||
| Άδεια Χρήσης |
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| Βιβλιογραφική Αναφορά | X. Jin, X. Yu, Y. Hu, Y. Wang, M. Papageorgiou, I. Papamichail, M. Malekzadeh, and J. Guo, "Integrated control of internal boundary and ramp inflows for lane-free traffic of automated vehicles on freeways," in Proceedings of the 2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC 2022), 2022, pp. 1234-1239, doi: 10.1109/ITSC55140.2022.9922434. https://doi.org/10.1109/ITSC55140.2022.9922434 | ||
| Εμφανίζεται στις Συλλογές |
This paper is concerned with a novel traffic control concept of internal boundary control for bi-directional lane-free traffic of automated vehicles on freeways. The internal boundary control can help exploit the capacity resources of road infrastructure and eliminate traffic jams by sharing the total bi-directional capacity for traffic on freeways when the total demand of the bi-directional traffic (also in consideration of on/off-ramp flows in both directions) does not exceed the total capacity. When this condition is not met, however, applying the internal boundary control alone cannot reach the pursued goal. Thus, one other traffic control measure ramp metering is introduced as well. This paper studies how to prevent freeway congestion using both control measures. A cell transmission model (CTM) based non-holding-back quadratic programming optimal control model is formulated. The investigation results show that the proposed integrated control scheme can maximize the utilization of road infrastructure and remove congestion at overloaded ramp-merging areas. It is the first time to study the combination of the two control measures and its potential.
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