Traffic Radar: A Holonic Traffic Coordination System Using PROSA++ and D-MAS

Philips, Johan; Germain, Bart Saint; Belle, Jan Van; Valckenaers, Paul

doi:10.1007/978-3-642-40090-2_15

Cited by 5 publications

(2 citation statements)

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“…The specific modular software tools are (1) the multimodal decision support tool, (2) the traffic congestion data estimator, and (3) the real-time traffic prediction tool. In essence, the multimodal traffic recommender suggests eco-friendly routes after receiving traffic flow forecasts from the real-time traffic prediction tool, an ant-based system for modeling and simulating traffic to predict stream characteristics [55]. This belongs to the class of holonic-based solutions [56].…”

Section: A Multimodal Mobility Recommender System For Urban Areasmentioning

confidence: 99%

An Eco-Friendly Multimodal Route Guidance System for Urban Areas Using Multi-Agent Technology

et al. 2021

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The use and coordination of multiple modes of travel efficiently, although beneficial, remains an overarching challenge for urban cities. This paper implements a distributed architecture of an eco-friendly transport guidance system by employing the agent-based paradigm. The paradigm uses software agents to model and represent the complex transport infrastructure of urban environments, including roads, buses, trolleybuses, metros, trams, bicycles, and walking. The system exploits live traffic data (e.g., traffic flow, density, and CO2 emissions) collected from multiple data sources (e.g., road sensors and SCOOT) to provide multimodal route recommendations for travelers through a dedicated application. Moreover, the proposed system empowers the transport management authorities to monitor the traffic flow and conditions of a city in real-time through a dedicated web visualization. We exhibit the advantages of using different types of agents to represent the versatile nature of transport networks and realize the concept of smart transportation. Commuters are supplied with multimodal routes that endeavor to reduce travel times and transport carbon footprint. A technical simulation was executed using various parameters to demonstrate the scalability of our multimodal traffic management architecture. Subsequently, two real user trials were carried out in Nottingham (United Kingdom) and Sofia (Bulgaria) to show the practicality and ease of use of our multimodal travel information system in providing eco-friendly route guidance. Our validation results demonstrate the effectiveness of personalized multimodal route guidance in inducing a positive travel behavior change and the ability of the agent-based route planning system to scale to satisfy the requirements of traffic infrastructure in diverse urban environments.

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Section: A Multimodal Mobility Recommender System For Urban Areasmentioning

confidence: 99%

An Eco-Friendly Multimodal Route Guidance System for Urban Areas Using Multi-Agent Technology

et al. 2021

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“…E.g. it has integrated traffic models to account for the back-propagation of congestion in car traffic (Philips, 2013).…”

Section: Arti and Digital Twinsmentioning

confidence: 99%

Perspective on holonic manufacturing systems: PROSA becomes ARTI

Valckenaers

2020

Computers in Industry

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Looking back at 30 years of research into holonic manufacturing systems, these explorations made a lasting scientific contribution to the overall architecture of intelligent manufacturing systems. Most notably, holonic architectures are defined in terms of their world-of-interest (Van Brussel, 1998). They do not have an information layer, a communication layer, etc. Instead, they have components that relate to real-world assets (e.g. machine tools) and activities (e.g. assembly). And, they mirror and track the structure of their world-of-interest, which allows them to scale and adapt accordingly. This research has wandered around, at times learning from its mistakes, and progressively carved out an invariant structure while it translated and applied scientific insights from complex-adaptive systems theory (e.g. autocatalytic sets) and from bounded rationality (e.g. holons). This paper presents and discusses the outcome of these research efforts.At the top level, the holonic structure distinguishes intelligent beings (or digital twins) from intelligent agents. These digital twins inherit the consistency from reality, which they mirror. They are intelligent beings when they reflect what exists in the world without imposing artificial limitations in this reality. Consequently, a conflict with a digital twin is a conflict with reality.In contrast, intelligent agents typically transform NP-hard challenges into computations with lowpolynomial complexity. Unavoidably, this involves arbitrariness (e.g. don't care choices). Likewise, relying on case-specific properties, to ensure an outcome in polynomial time, usually renders the validity of an agent's choices both short-lived and situation-dependent. Here, intelligent agents create conflicts by imposing limitations of their own making in their world-of-interest.Real-world smart systems are aggregates comprising both intelligent beings and intelligent agents. They are performers. Inside these performers, digital twins may constitute the foundations, supporting walls, support beams and pillars because these intelligent beings are protected by their real-world counterpart. Further refining the top-level of this architecture, a holonic structure enables these digital twins to shadow their real-world counterpart whenever it changes, adapts and evolves.In contrast, the artificial limitations, imposed by the intelligent agents, cannot be allowed to build up inertia, which would hamper the undoing of arbitrary or case-specific limitations. To this end, performers explicitly manage the rights over their assets. Revoking such rights from a limitationimposing agent will free the assets. This will be at the cost of reduced services from the agent. When other service providers rely on this agent, their services may be affected as well; that's how the inertia builds up and how harmful legacy is created. Thus, the services of digital twins are to be preferred over the services of an intelligent agent by developers of holonic manufacturing systems.Finally, digital twins corresponding to...

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ARTI Reference Architecture – PROSA Revisited

Valckenaers

2018

Studies in Computational Intelligence

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Traffic Radar: A Holonic Traffic Coordination System Using PROSA++ and D-MAS

Cited by 5 publications

References 11 publications

An Eco-Friendly Multimodal Route Guidance System for Urban Areas Using Multi-Agent Technology

An Eco-Friendly Multimodal Route Guidance System for Urban Areas Using Multi-Agent Technology

Perspective on holonic manufacturing systems: PROSA becomes ARTI

ARTI Reference Architecture – PROSA Revisited

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