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High fidelity modelling of traffic light control with XML logic representation

Halbach, Maik and Erdmann, Jakob (2022) High fidelity modelling of traffic light control with XML logic representation. SUMO User Conference 2022, 2022-05-09 - 2022-05-11, online.

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Abstract

The paper describes a novel approach to modelling traffic light control in SUMO with control logic configured in xml inputs. It shows also, that this approach allows for high fidelity replication of a real-world traffic controller by comparing original and simulated switching behavior when confronted with the same traffic situations. The approach could process from a traffic engineer with limited programming knowledge.

Item URL in elib:https://elib.dlr.de/185764/
Document Type:Conference or Workshop Item (Speech)
Title:High fidelity modelling of traffic light control with XML logic representation
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Halbach, MaikUNSPECIFIEDhttps://orcid.org/0009-0007-0942-1847UNSPECIFIED
Erdmann, JakobUNSPECIFIEDhttps://orcid.org/0000-0002-4195-4535UNSPECIFIED
Date:May 2022
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Status:Published
Keywords:Simulation, traffic lights, adaptive control
Event Title:SUMO User Conference 2022
Event Location:online
Event Type:international Conference
Event Start Date:9 May 2022
Event End Date:11 May 2022
Organizer:DLR
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Transport
HGF - Program Themes:Transport System
DLR - Research area:Transport
DLR - Program:V VS - Verkehrssystem
DLR - Research theme (Project):V - Zukunftsbilder eines automatisierten integrierten Verkehrssystems (old), V - D.MoVe (old)
Location: Berlin-Adlershof , Braunschweig
Institutes and Institutions:Institute of Transportation Systems > Cooperative Systems, BS
Institute of Transportation Systems > Design and Evaluation of Mobility Solutions, BA
Deposited By: Halbach, Maik
Deposited On:30 May 2022 10:40
Last Modified:24 Apr 2024 20:47

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