Intersections, and more traffic signals, introduce stops along trip increasing travel time, stress, fuel consumption and emissions. To confine the stop-and-go phenomenon due to traffic signals several researchers focused on the use of actuated traffic lights. In last years the digital transformation of cities give us lot of information could be used for several purposes, one of them is the implementation of cooperativeintelligent transportation systems (C-ITS). The paper introduces a specific C-ITS named Green Light Optimal Speed Advisory (GLOSA) that use V2I communication to calculate an optimal speed for the vehicle to pass the intersection avoiding idle time. Two simulations scenarios have been built to study the benefit of the service. The results demonstrate that even using a simple control algorithm with the aim to avoid the stopgo we observe a reduction of fuel consumption and emissions in the region of 5 to 12%
Green Light Optimal Speed Advisory: A C-ITS to improve mobility and pollution / Pariota, L.; DI COSTANZO, Luca; Coppola, Angelo; D'Aniello, Claudio; Bifulco, G. N.. - (2019), pp. 1-6. (Intervento presentato al convegno 19th IEEE International Conference on Environment and Electrical Engineering and 2019 IEEE Industrial and Commercial Power Systems Europe, EEEIC/I and CPS Europe 2019 tenutosi a ita nel 2019) [10.1109/EEEIC.2019.8783573].
Green Light Optimal Speed Advisory: A C-ITS to improve mobility and pollution
Pariota L.
;DI COSTANZO, LUCA;COPPOLA, ANGELO;D'ANIELLO, CLAUDIO;Bifulco G. N.
2019
Abstract
Intersections, and more traffic signals, introduce stops along trip increasing travel time, stress, fuel consumption and emissions. To confine the stop-and-go phenomenon due to traffic signals several researchers focused on the use of actuated traffic lights. In last years the digital transformation of cities give us lot of information could be used for several purposes, one of them is the implementation of cooperativeintelligent transportation systems (C-ITS). The paper introduces a specific C-ITS named Green Light Optimal Speed Advisory (GLOSA) that use V2I communication to calculate an optimal speed for the vehicle to pass the intersection avoiding idle time. Two simulations scenarios have been built to study the benefit of the service. The results demonstrate that even using a simple control algorithm with the aim to avoid the stopgo we observe a reduction of fuel consumption and emissions in the region of 5 to 12%I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
