Systematic application of traffic‐signal‐control system architecture design and selection using model‐based systems engineering and Pareto frontier analysis

The global population rise has increased vehicles on roads, complicating traffic management. Inefficient traffic control systems cause significant economic losses owing to commuter time wastage, high energy consumption, and greenhouse gas emissions. Traffic signal control systems (TSCSs) are vital i...

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Veröffentlicht in:Systems engineering Jg. 27; H. 5; S. 931 - 954
Hauptverfasser: Balaci, Ana Theodora, Suh, Eun Suk, Hwang, Junseok
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Hoboken Wiley Subscription Services, Inc 01.09.2024
Schlagworte:
Algorithms
Architecture
Case studies
Configuration management
Control algorithms
Control systems design
Control theory
Cybersecurity
Data exchange
Design optimization
Driving conditions
Economic impact
Emissions
Energy consumption
Greenhouse gases
model‐based systems engineering
Pareto frontier
Subsystems
system architecture design
Systems engineering
tradespace
Traffic control
Traffic flow
Traffic management
traffic signal control system
Traffic signals
Transportation networks
ISSN:1098-1241, 1520-6858
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Zusammenfassung:The global population rise has increased vehicles on roads, complicating traffic management. Inefficient traffic control systems cause significant economic losses owing to commuter time wastage, high energy consumption, and greenhouse gas emissions. Traffic signal control systems (TSCSs) are vital in traffic management, impacting traffic flow significantly; therefore, studies are exploring new optimization approaches that adapt to changing traffic conditions. However, they concentrate on either new technology infusion or on control algorithm optimization, and do not holistically address the architectural configuration of the system. In this study, we presented a unique case study by applying an existing systematic framework to the TSCS system architecture design and selection process. This application demonstrates that TSCS enhancement is a multifaceted process that requires a comprehensive assessment of not only technical aspects, such as the control algorithm, but also factors including system architecture, security, and data integrity. Because of the increasing reliance of TSCSs on data exchange between their various subsystems, this case study also adopted a cybersecurity perspective of the system and introduced cyber resiliency as a crucial metric for evaluating TSCS architecture performance. Furthermore, through the applied framework, an optimal TSCS architectural configuration with executable options was identified by generating multiple TSCS architectural configurations using decision option patterns and identifying those on the Pareto frontier to understand the architectural decision‐making process. Traffic engineers and transportation planners can use this case study application as a guide to optimize TSCSs employed in existing transportation networks and design more efficient transportation networks for future urban development.
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ISSN:1098-1241
1520-6858
DOI:10.1002/sys.21759