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Optimisation of geofencing for mobility solutions in smart cities
Mobility solutions are increasingly aware of their location and can be considered as elements within a connected transport system. In this context, geofencing refers to the use of a vehicle position to change its behaviour to improve the overall environment for the whole transport system. In this paper, we start with advances in simulation tools for optimizing the use of geofences for both existing and new vehicles, covering both vehicle performance and the overall impact on air quality. The results of the simulations have been demonstrated in a connected city environment resulting in significant reductions in emissions and energy consumption for two applications; a geofence enabled bus and a fleet of existing hybrid electric vehicles using a smartphone app to enable geofence zones.
Optimisation of geofencing for mobility solutions in smart cities
Mobility solutions are increasingly aware of their location and can be considered as elements within a connected transport system. In this context, geofencing refers to the use of a vehicle position to change its behaviour to improve the overall environment for the whole transport system. In this paper, we start with advances in simulation tools for optimizing the use of geofences for both existing and new vehicles, covering both vehicle performance and the overall impact on air quality. The results of the simulations have been demonstrated in a connected city environment resulting in significant reductions in emissions and energy consumption for two applications; a geofence enabled bus and a fleet of existing hybrid electric vehicles using a smartphone app to enable geofence zones.
Optimisation of geofencing for mobility solutions in smart cities
Fussey, Peter (author) / Dalby, Josh (author)
2022-09-26
1223431 byte
Conference paper
Electronic Resource
English
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