Autonomic Road Transport Support Systems 2016
DOI: 10.1007/978-3-319-25808-9_3
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Self-management in Urban Traffic Control: An Automated Planning Perspective

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Cited by 3 publications
(4 citation statements)
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“…ITS comprise services for highway control, implementation of navigation systems, integration and freight control in air, water and rail transport. Following [17] Now, the connected vehicle control is assumed as important task which is worked out by methodologies applied in ITS [10]. The domains where ITS have wide penetrations are [17]:…”
Section: The Paradigm Of Intelligent Transportation Systemsmentioning
confidence: 99%
See 1 more Smart Citation
“…ITS comprise services for highway control, implementation of navigation systems, integration and freight control in air, water and rail transport. Following [17] Now, the connected vehicle control is assumed as important task which is worked out by methodologies applied in ITS [10]. The domains where ITS have wide penetrations are [17]:…”
Section: The Paradigm Of Intelligent Transportation Systemsmentioning
confidence: 99%
“…Because the transportation network operates in dynamically changes of the traffic behavior, adaptation of the control influences is needed. An advanced concept for the management of such complex transportation system is raised by the paradigm of "autonomic systems" [10,13,20]. The term "autonomic" is a biological metaphor adopted by IBM to describe the desired properties of the complex information systems.…”
Section: Traffic Control System and Its Optimal Operationmentioning
confidence: 99%
“…The increase in demand for innovative plan generation techniques, plan execution, monitoring and recovery; has stemmed awareness towards evolving system designs which make use of advance planning and implementation frameworks (Jimoh and McCluskey, 2015;Laguna et al, 2014). Teleo-Reactive Executive (T-Rex) is an example of such design.…”
Section: Introductionmentioning
confidence: 99%
“…e science of road tra c data -from eliminating irrelevant or corrupted records to actual data mining, such as classi cation and prediction -is essential to automated road tra c control [2,3]. For example, extracting a model from a city's historical data about vehicle speed and incident rates would make it possible to predict the likelihood of a motor accident in a newly built junction.…”
Section: Introductionmentioning
confidence: 99%