dc.contributor
Universitat Politècnica de Catalunya. Departament d'Enginyeria Telemàtica
dc.contributor
Universitat Politècnica de Catalunya. SISCOM - Smart Services for Information Systems and Communication Networks
dc.contributor.author
Pérez Vargas, Juan Pablo
dc.contributor.author
Zhangallimbay Coraizaca, Jorge Geovanny
dc.contributor.author
Bazán Guillén, Alberto
dc.contributor.author
Barbecho Bautista, Pablo
dc.contributor.author
Aguilar Igartua, Mónica
dc.date.accessioned
2026-02-13T08:34:15Z
dc.date.available
2026-02-13T08:34:15Z
dc.identifier
Pérez, J. [et al.]. Gap-Fuzzy adaptive signal control: enhancing urban traffic efficiency. A: International ACM Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems. «The 27th International IEEE Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems (MSWiM 2025), Barcelona, Spain, October 27-31, 2025: proceedings book». Institute of Electrical and Electronics Engineers (IEEE), 2025, p. 570-577. ISBN 979-8-3315-6873-3. DOI 10.1109/MSWiM67937.2025.11308772 .
dc.identifier
979-8-3315-6873-3
dc.identifier
https://hdl.handle.net/2117/455080
dc.identifier
10.1109/MSWiM67937.2025.11308772
dc.identifier.uri
http://hdl.handle.net/2117/455080
dc.description.abstract
Traffic congestion in urban areas has intensified due to the rapid growth of vehicles, inadequate infrastructure planning, and unsynchronized traffic signals. This study presents an adaptive traffic signal control strategy called Gap-Fuzzy, which combines the Mamdani fuzzy logic controller with a gapout detection mechanism. The system dynamically adjusts the duration of the green light based on real-time traffic data, including queue length and arrival rate. Furthermore, the green phase is terminated early if prolonged gaps in vehicle flow are detected. We evaluated the proposed Gap-Fuzzy system using the SUMO microscopic traffic simulator. The results indicate that it reduced vehicle waiting times by up to 70% and CO2 emissions by 25% compared to fixed-time control. In addition, it outperformed the SUMO actuated controller under low, medium, and high traffic conditions while maintaining comparable performance under very high demand. These findings highlight the effectiveness of integrating fuzzy logic with gap-out detection to enhance traffic flow and minimize environmental impact.
dc.description.abstract
Peer Reviewed
dc.description.abstract
Postprint (published version)
dc.format
application/pdf
dc.publisher
Institute of Electrical and Electronics Engineers (IEEE)
dc.relation
https://ieeexplore.ieee.org/document/11308772
dc.rights
Restricted access - publisher's policy
dc.subject
Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Telemàtica i xarxes d'ordinadors
dc.subject
Wireless communication
dc.subject
Green products
dc.subject
Traffic control
dc.subject
Vehicle dynamics
dc.subject
Traffic congestion
dc.title
Gap-Fuzzy adaptive signal control: enhancing urban traffic efficiency
dc.type
Conference lecture
