Klöppel, MichaelMichaelKlöppelGrimm, JanJanGrimmStrobl, SeverinSeverinStroblAuerswald, RicoRicoAuerswald2022-03-142022-03-142019https://publica.fraunhofer.de/handle/publica/40421010.1007/978-3-030-02305-8_6The aim of Green Light Optimized Speed Advisory (GLOSA) systems is to assist individual vehicles approaching an intersection with speed advices (either as single target speed or as complex speed-distance relation) in order to fulfill a given objective. Common objectives include the minimization of fuel usage, emissions and/or delay. The literature provides a wide selection of GLOSA-algorithms addressing different aspects of a real world application, like surrounding traffic, fixed time or actuated traffic lights and mode of communication. However, previous research usually addressed only a subset of possible aspects. Therefore, our goal is to investigate how the existing algorithms hold up in a scenario under largely realistic conditions. We measure the performance (in terms of overall fuel usage, carbon dioxide emissions and delay) of the different GLOSA-algorithms and identify potential shortcomings.enGLOSAspeed advisory systemconnected vehiclesITS-G5629004conference paper