Resumen
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.
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.
| Idioma original | Inglés |
|---|---|
| Estado | Aceptada/en prensa - 4 nov. 2025 |
| Evento | 21st Symposium on Performance Evaluation of Wireless Ad Hoc, Sensor, and Ubiquitous Networks (PE-WASUN 2025). - Universidad Politécnica de Cataluña, Barcelona, Espana Duración: 27 oct. 2025 → 31 oct. 2025 Número de conferencia: 21 http://pewasun.upc.edu/PEWASUN2025/ |
Conferencia
| Conferencia | 21st Symposium on Performance Evaluation of Wireless Ad Hoc, Sensor, and Ubiquitous Networks (PE-WASUN 2025). |
|---|---|
| Título abreviado | PE-WASUN 2025 |
| País/Territorio | Espana |
| Ciudad | Barcelona |
| Período | 27/10/25 → 31/10/25 |
| Dirección de internet |
ODS de las Naciones Unidas
Este resultado contribuye a los siguientes Objetivos de Desarrollo Sostenible
