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iTLM: A Privacy Friendly Crowdsourcing Architecture for Intelligent Traffic Light Management

Roth, Christian ; Nitschke, Mirja ; Hörmann, Matthias ; Kesdogan, Dogan


Vehicle-to-everything (V2X) interconnects participants in vehicular environments to exchange information. This enables a broad range of new opportunities. We propose a self learning traffic light system which uses crowdsoured information from vehicles in a privacy friendly manner to optimize the overall traffic flow. Our simulation, based on real world data, shows that the information gain vastly ...


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