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A reinforcement learning approach to smart lane changes of self-driving cars

Ye Fangmin, Wang Long, Wang Yibing, Guo Jingqiu, Papamichail Ioannis, Papageorgiou Markos

Απλή Εγγραφή


URIhttp://purl.tuc.gr/dl/dias/BCBDDCEA-3FEB-4C4E-A9F9-C0376F71F859-
Αναγνωριστικόhttps://doi.org/10.1007/978-3-030-30241-2_47-
Αναγνωριστικόhttps://link.springer.com/chapter/10.1007/978-3-030-30241-2_47-
Γλώσσαen-
Μέγεθος13 pagesen
ΤίτλοςA reinforcement learning approach to smart lane changes of self-driving carsen
ΔημιουργόςYe Fangminen
ΔημιουργόςWang Longen
ΔημιουργόςWang Yibingen
ΔημιουργόςGuo Jingqiuen
ΔημιουργόςPapamichail Ioannisen
ΔημιουργόςΠαπαμιχαηλ Ιωαννηςel
ΔημιουργόςPapageorgiou Markosen
ΔημιουργόςΠαπαγεωργιου Μαρκοςel
ΕκδότηςSpringer Natureen
ΠερίληψηLane changes are a vital part of vehicle motions on roads, affecting surrounding vehicles locally and traffic flow collectively. In the context of connected and automated vehicles (CAVs), this paper is concerned with the impacts of smart lane changes of CAVs on their own travel performance as well as on the entire traffic flow with the increase of the market penetration rate (MPR). On the basis of intensive microscopic traffic simulation and reinforcement learning technique, a selfish lane-changing strategy was first developed in this work to enable foresighted lane changing decisions for CAVs to improve their travel efficiency. The overall impacts of such smart lane changes on traffic flow of both CAVs and human-driven vehicles were then examined on the same simulation platform. It was found that smart lane changes were beneficial for both CAVs and the entire traffic flow, if MPR was not more than 60%.en
ΤύποςΚεφάλαιο σε Βιβλίοel
ΤύποςBook Chapteren
Άδεια Χρήσηςhttp://creativecommons.org/licenses/by/4.0/en
Ημερομηνία2020-11-02-
Ημερομηνία Δημοσίευσης2019-
Θεματική ΚατηγορίαConnected and automated vehiclesen
Θεματική ΚατηγορίαMicroscopic simulationen
Θεματική ΚατηγορίαQ-learningen
Θεματική ΚατηγορίαSmart lane changesen
Θεματική ΚατηγορίαTraffic flow impactsen
Βιβλιογραφική ΑναφοράF. Ye, L. Wang, Y. Wang, J. Guo, I. Papamichail and M. Papageorgiou, "A reinforcement learning approach to smart lane changes of self-driving cars," in Progress in Artificial Intelligence. EPIA 2019, vol. 11804, Lecture Notes in Computer Science, O. P. Moura, P. Novais, L. Reis, Eds., Cham, Switzerland: Springer Nature, 2019, pp. 559-571. doi: 10.1007/978-3-030-30241-2_47en
Τίτλος ΒιβλίουProgress in Artificial Intelligence. EPIA 2019en
Σειρά ΒιβλίουLecture Notes in Computer Scienceen

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