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Smart intersection management based on an adaptive fuzzy logic traffic light controller

Madrigal Arteaga, Victor Manuel and Perez Cruz, Jose Roberto and Trumpold, Jan and Hesse, Tobias and Saavedra Rosales, Jaime (2019) Smart intersection management based on an adaptive fuzzy logic traffic light controller. Transportmetrica B: Transport Dynamics. Taylor & Francis. ISSN 2168-0566 (Unpublished)

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Abstract

Traffic lights as traffic regulators are intended to achieve a good performance of urban networks. Unfortunately, in some cases, such devices generate bottlenecks because of inadequate signal timings. Most of the traffic lights are still configured under pre-timed or actuated schemes. Such controllers often do not achieve a fair balance of timings for unpredictable variations in current demands; promoting queues formations by overestimating or underestimating green/red phases. To tackle this problem, adaptive traffic light controllers have been proposed to compute phases’duration depending on the conditions monitored by on-road sensors. However, the hardware requirements, as well as complex setups, make most of these approaches infeasible for several cities. This paper proposes an adaptive fuzzy logic traffic light controller which uses the flow rate, retrieved from simple traffic counters, as a unique input requirement. The controller dynamically computes the proper cycle length depending on the incoming traffic, whose volume is described with linguistic terms. The computed cycle is proportionally split into different phases accordingly to the traffic demand. In this way, the controller reduces the waiting times and the density by establishing a balanced signal timing. The controller was tested through a microscopic simulation of a real intersection, calibrated with different critical conditions retrieved from a six-month traffic study. Compared with one of the most sophisticated approaches, the proposed controller achieves commensurate performance and effectiveness. This robustness, however, is achieved without requiring complex nor expensive requirements; being a feasible solution for many cities.

Item URL in elib:https://elib.dlr.de/127124/
Document Type:Article
Title:Smart intersection management based on an adaptive fuzzy logic traffic light controller
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Madrigal Arteaga, Victor ManuelVictor.MadrigalArteaga (at) dlr.dehttps://orcid.org/0000-0003-4724-9092
Perez Cruz, Jose Robertojrperezcr (at) conacyt.mxhttps://orcid.org/0000-0002-2096-1453
Trumpold, JanJan.Trumpold (at) dlr.dehttps://orcid.org/0000-0001-6032-0709
Hesse, TobiasTobias.Hesse (at) dlr.dehttps://orcid.org/0000-0002-2346-2035
Saavedra Rosales, Jaimejaime_saavedramx (at) yahoo.comUNSPECIFIED
Date:2019
Journal or Publication Title:Transportmetrica B: Transport Dynamics
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In SCOPUS:Yes
In ISI Web of Science:Yes
Publisher:Taylor & Francis
ISSN:2168-0566
Status:Unpublished
Keywords:Adaptive traffic light controller;Fuzzy logic; Unpredictable traffic demand; Microscopic simulation
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 - D.MoVe
Location: Berlin-Adlershof
Institutes and Institutions:Institute of Transportation Systems > Development of system functions
Deposited By: Madrigal, Victor
Deposited On:10 Apr 2019 13:03
Last Modified:10 Apr 2019 13:03

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