Abstract
This paper deals with a spatiotemporal traffic events generator for real highway networks. The goal is to use the event generator to test real-time and batch traffic analysis applications. In this context, we represent a highway network as an oriented graph based on the geographic data of the different sensors locations. The traffic is generated based on a socio-cultural calendar using a virtual clock to speed up the simulation process. In order to enable our generator to support the global worldwide highway networks, we propose a dynamic sized distributed architecture based on multi-agent systems. In this platform, we distinguish the physical model based on sensors from the logical model based on an oriented graph. The architecture of the simulator and the results of some of its implementations applied to the Moroccan highway network are presented.
Highlights
Intelligent highways must be instrumented by a set of sensors that detect the passage of vehicles at various strategic points of the infrastructure
This work proposes a simulator that generates multitudes of events and data to be processed by other modules that draw on the functionalities of ETL and other dedicated platforms such as Intelligent Transport Systems (ITS) services, capable of predicting flows Real-time traffic, or to detect traffic-related events [17]-[20]
We proposed a distributed simulator model of intelligent highways based on multi-agent systems and a virtual calendar
Summary
Intelligent highways must be instrumented by a set of sensors that detect the passage of vehicles at various strategic points of the infrastructure. To develop and test such Big-data applications before the installation of the sensor infrastructure and the integration of any useful information source, it is important to carry out a simulation step, which generates the Traffic, and all related events. Such a Big-data platform must merge and harmonize heterogeneous and dynamic data flows. This work proposes a simulator that generates multitudes of events and data to be processed by other modules that draw on the functionalities of ETL and other dedicated platforms such as ITS services, capable of predicting flows Real-time traffic, or to detect traffic-related events [17]-[20]. We show some results obtained using the first implementation of the simulator applied to the Moroccan motorway network
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