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Optimizing Traffic Light Timing in Urban Corridors Using Fuzzy Logic Technology: An Evaluation Using SUMO Simulation.

Madrigal, Victor (2023) Optimizing Traffic Light Timing in Urban Corridors Using Fuzzy Logic Technology: An Evaluation Using SUMO Simulation. [Other]

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Traffic management is a critical issue for urban areas around the world, with congestion and traffic flow problems leading to significant economic and environmental costs. In recent years, fuzzy logic technology has emerged as a promising solution for optimizing traffic light timing and improving corridor performance. Fuzzy logic technology offers several key advantages over traditional traffic management approaches. It can operate in a decentralized way, enabling each traffic light to optimize its timing based on local traffic conditions. This approach reduces the need for centralized control and enables a more responsive system that can adapt to changes in traffic flow. Fuzzy logic technology is also relatively low-cost, making it a viable solution for developing countries that may have limited resources for implementing advanced traffic management systems. A critical aspect of evaluating the effectiveness of fuzzy logic technology is the use of a reliable simulation software. The Simulation of Urban MObility (SUMO) is a widely used software tool that provides a detailed and realistic simulation of traffic flow in urban areas. By using SUMO to evaluate the fuzzy logic technology, researchers can test the system against the most current updates in traffic flow and vehicle behavior, ensuring that the results of the evaluation are accurate and reliable. The use of SUMO also allows for the testing of the fuzzy logic technology under different traffic conditions, providing valuable insights into how the system may perform in real-world traffic management scenarios. This is particularly important for reducing emissions, as the optimized traffic flow can significantly reduce the time vehicles spend idling in traffic and thus reducing their emissions. Overall, fuzzy logic technology shows great promise for improving traffic management in urban areas. Its decentralized approach, low-cost requirements, and ability to reduce emissions make it a viable solution for improving corridor performance, particularly in developing countries. By using SUMO to evaluate the system, researchers can gain valuable insights into its effectiveness and potential impact and contribute to the ongoing efforts to develop more effective traffic management solutions.

Item URL in elib:https://elib.dlr.de/202376/
Document Type:Other
Title:Optimizing Traffic Light Timing in Urban Corridors Using Fuzzy Logic Technology: An Evaluation Using SUMO Simulation.
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Madrigal, VictorUNSPECIFIEDhttps://orcid.org/0000-0003-4724-9092UNSPECIFIED
Date:4 May 2023
Refereed publication:No
Open Access:Yes
Keywords:simulation SUMO traffic light control fuzy logic intersection managament
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Transport
HGF - Program Themes:Road Transport
DLR - Research area:Transport
DLR - Program:V ST Straßenverkehr
DLR - Research theme (Project):V - KoKoVI - Koordinierter kooperativer Verkehr mit verteilter, lernender Intelligenz
Location: Berlin-Adlershof
Institutes and Institutions:Institute of Transportation Systems > Cooperative Systems, BA
Deposited By: Madrigal, Victor
Deposited On:09 Feb 2024 15:18
Last Modified:09 Feb 2024 15:18

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