Please use this identifier to cite or link to this item:
https://hdl.handle.net/20.500.11779/2285
Title: | Multi-objective Optimization Framework for Trade-Off Among Pedestrian Delays and Vehicular Emissions at Signal-Controlled Intersections | Authors: | Akyol, Gorkem Goncu, Sadullah Silgu, Mehmet Ali |
Keywords: | Traffic optimal signal setting Traffic signal control Traffic control model Multi-objective optimization |
Publisher: | Springer Heidelberg | Abstract: | Traffic congestion has several adverse effects on urban traffic networks. Increased travel times of vehicles, with the addition of excessive greenhouse emissions, can be listed as harmful effects. To address these issues, transportation engineers aim to reduce private car usage, reduce travel times through different control strategies, and mitigate harmful effects on urban networks. In this study, we introduce an innovative approach to optimizing traffic signal control settings. This methodology takes into account both pedestrian delays and vehicular emissions. Non-dominated sorting genetic algorithm-II and Multi-objective Artificial Bee Colony algorithms are adopted to solve the multi-objective optimization problem. The vehicular emissions are modeled through the MOVES3 emission model and integrated into the utilized microsimulation environment. Initially, the proposed framework is tested on a hypothetical test network, followed by a real-world case study. Results indicate a significant improvement in pedestrian delays and lower emissions. | Description: | Akyol, Görkem/0000-0002-7955-6882; Goncu, Sadullah/0000-0003-2168-4758; Silgu, Mehmet Ali/0000-0002-7667-8796 | URI: | https://doi.org/10.1007/s13369-024-08898-7 https://hdl.handle.net/20.500.11779/2285 |
ISSN: | 2193-567X 2191-4281 |
Appears in Collections: | Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection |
Show full item record
CORE Recommender
Items in GCRIS Repository are protected by copyright, with all rights reserved, unless otherwise indicated.