Organic Traffic Control

Prothmann, Holger; Tomforde, Sven; Branke, Jürgen; Hähner, Jörg; Müller-Schloer, Christian; Schmeck, Hartmut

doi:10.1007/978-3-0348-0130-0_28

Cited by 36 publications

(14 citation statements)

References 5 publications

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“…This section presents the Organic Traffic Control (OTC) system for the self-optimising and self-adaptive control of signalised intersections [4]. Furthermore, we briefly introduce our forecast module for time series forecasting [13] which we later use to make short-term forecasts of traffic flows of turning movements.…”

Section: Architecturementioning

confidence: 99%

“…Novel trends, such as self-driving cars [1], car-to-car communication [2], and traffic-adaptive control systems [3,4], have the overall goal to optimise the existing traffic infrastructure towards a more efficient utilisation of road networks. However, we have to face certain negative impacts on the environment due to the increase of mobility, especially in urban areas.…”

Section: Introductionmentioning

confidence: 99%

“…The traffic demands are monitored in real-time by sensors along the road, and serve as input for the signal time optimisation at each intersection. Some traffic management systems react to the traffic measured in the previous interval [4] while others adjust the signalisation proactively to the estimated traffic demand in the near future [5]. This continuous adaptation leads to a better system performance, even in case of changing traffic demands.…”

Section: Introductionmentioning

confidence: 99%

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Anticipatory Adaptation of Signalisation Based on Traffic Flow Forecasts within a Self-organised Traffic Control System

Sommer

Hähner

2016

MATEC Web Conf.

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Abstract. Autonomously adapting signalling strategies to changing traffic demand in urban areas have been frequently used as application scenario for self-adapting systems. Striving for the ability to cope with the dynamic behaviour of traffic and to react appropriately to unforeseen conditions, such solutions dynamically adapt the signalisation to the monitored traffic demands. The Organic Traffic Control (OTC) system is one of the most prominent representatives in this domain. OTC implements a multi-layered observer-/controller architecture. In this paper, we extend OTC's observer with a time series forecast component to create forecasts of future traffic developments for turning movements. These forecasts are then used to proactively adapt signalisation parameters. We demonstrate the benefit of the developed approach in terms of reduced travel times, and vehicle emissions within near-to-reality simulations of realistic traffic conditions from Hamburg, Germany.

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Section: Architecturementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Anticipatory Adaptation of Signalisation Based on Traffic Flow Forecasts within a Self-organised Traffic Control System

Sommer

Hähner

2016

MATEC Web Conf.

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“…Based on various scenarios in robotics [5], traffic [15], production [16], and energy [17], [18], generic system architectures have been developed and evaluated. A particular example is the Observer/Controller Architecture (O/C Architecture) having embedded learning methods, which support adaptive behavior, robustness, and flexibility.…”

Section: A Organic Computingmentioning

confidence: 99%

Organic Architecture for Energy Management and Smart Grids

Mauser

Hirsch

Kochanneck

et al. 2015

2015 IEEE International Conference on Autonomic Computing

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An unprecedented rise of renewable and distributed energy resources imposes unprecedented challenges in terms of complexity to power grids. Multitudes of devices are not only connected to the electricity grid but need appropriate information and communication technologies for proving their services. These devices ask for novel control mechanisms on different levels and regional scales. In this paper, we show how concepts from Organic Computing may support the controlled self-organization of the future smart grid. We propose a generic hierarchical architecture as a framework for various energy management systems. This architecture is able to reflect the physical power grid structure as well as the interdependencies of its stakeholders, user objectives, subsystems, and devices. It enables adaptive responses to changing objectives as well as disturbances in the system. Various simulations of systems based on the proposed architecture show the applicability of the proposed architecture to domains of energy management in smart grids.

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“…We have been considering as conventional the normal way to control traffic lights, the so called fixed-time control. This type of control fixes the sequence of phases (red or green) and their durations (Prothmann et al, 2011). We simulated two fixed-time approaches.…”

Section: Evaluation Of the Best Candidatementioning

confidence: 99%

Fiot: An Agent-Based Framework for Self-Adaptive and Self-Organizing Internet of Things Applications

NASCIMENTO¹

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Organic Traffic Control

Cited by 36 publications

References 5 publications

Anticipatory Adaptation of Signalisation Based on Traffic Flow Forecasts within a Self-organised Traffic Control System

Anticipatory Adaptation of Signalisation Based on Traffic Flow Forecasts within a Self-organised Traffic Control System

Organic Architecture for Energy Management and Smart Grids

Fiot: An Agent-Based Framework for Self-Adaptive and Self-Organizing Internet of Things Applications

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