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Ιδρυματικό Αποθετήριο [SANDBOX]
Πολυτεχνείο Κρήτης
Πολυτεχνείο Κρήτης
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| URI: | http://purl.tuc.gr/dl/dias/0157CF0F-986C-4C6A-8B3C-8D62ADBD6541 | ||
| Έτος | 2021 | ||
| Τύπος | Δημοσίευση σε Συνέδριο | ||
| Άδεια Χρήσης |
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| Βιβλιογραφική Αναφορά | S. Sharma, I. Papamichail, A. Nadi, H. van Lint, L. Tavasszy, and M. Snelder, “A multi-class lane-changing advisory system for freeway merging sections,” in 16th IFAC Symposium on Control in Transportation Systems CTS 2021, Lille, France, 2021, vol. 54, no. 2, pp. 93-98, doi: 10.1016/j.ifacol.2021.06.014. https://doi.org/10.1016/j.ifacol.2021.06.014 | ||
| Εμφανίζεται στις Συλλογές |
Cooperative intelligent transportation systems (C-ITS) support the exchange of information between vehicles and infrastructure (V2I or I2V). This paper presents an in-vehicle C-ITS application to improve traffic efficiency around a merging section. This application balances the distribution of traffic over the available lanes of a freeway, by issuing targeted lane-changing advice to a selection of vehicles. We add to existing research by embedding multiple vehicle classes in the lane-changing advisory framework. We use a multi-class multi-lane macroscopic traffic flow model to design a feedback-feedforward control law that is based on a linear quadratic regulator (LQR). The performance of the proposed system is evaluated using a microscopic traffic simulator. The results indicate that the lane-changing advisory system is able to suppress Shockwaves in traffic flow and can significantly alleviate congestion. Besides bringing substantial travel time benefits around merging sections of up to nearly 21%, the system dramatically reduces the variance of travel time losses in the system.
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