A population-based incremental learning algorithm to identify optimal location of left-turn restrictions in urban grid networks

The treatment of left turns at signalized intersections drives the development of signal phasing and timing plans and also plays an important role in overall traffic network operations. Accommodating left turns allows for the most direct routeing but reduces intersection capacity, whereas restrictin...

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Veröffentlicht in:	Transportmetrica. (Abingdon, Oxfordshire, UK) Jg. 11; H. 1; S. 528 - 547
Hauptverfasser:	Bayrak, Murat, Yu, Zhengyao, Gayah, Vikash V.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Abingdon Taylor & Francis 31.12.2023 Taylor & Francis Ltd
Schlagworte:	Algorithms Configuration management Conflicting left-turns Constrictions Enumeration left-turn restrictions Left-turns Machine learning Networks optimal spatial configuration population-based incremental learning Traffic intersections urban network design
ISSN:	2168-0566, 2168-0582
Online-Zugang:	Volltext
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