COOL ROUTING. Distribution route calculation optimisation platform for electric vehicles with refrigerated load (Q3251643): Difference between revisions
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| Property / budget: 13,159,636.0 Euro / rank | |||||||
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| Property / EU contribution: 6,579,818.0 Euro / rank | |||||||
Revision as of 17:54, 21 October 2021
Project Q3251643 in Spain
| Language | Label | Description | Also known as |
|---|---|---|---|
| English | COOL ROUTING. Distribution route calculation optimisation platform for electric vehicles with refrigerated load |
Project Q3251643 in Spain |
Statements
1 January 2016
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31 December 2016
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INSTITUTO TECNOLOGICO DEL EMBALAJE, TRANSPORTE Y LOGISTICA
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39°30'14.11"N, 0°26'31.56"W
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46190
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El proyecto ¿Cool Routing¿ propone una mejora en el transporte de mercancía refrigerada empleando vehículo eléctrico. La combinación de carga refrigerada sobre vehículo eléctrico plantea una dificultad añadida al cálculo de rutas para vehículo eléctrico, ya que los factores externos a tener en cuenta se incrementan: conceptos como las características de la cámara refrigerada, condiciones meteorológicas, factores humanos (pérdida puntual de frío por puerta abierta, hábitos de comportamiento respecto al aspecto anterior), y características de la carga transportada (temperatura máxima soportada) impactan drásticamente en el cálculo de las rutas de reparto. La solución propuesta abarca desde la adaptación/sensorización de un vehículo eléctrico con una plataforma de recogida de datos del vehículo, hasta el diseño y desarrollo de un sistema de cálculo de rutas y cálculo de consumos. Finalmente el usuario contará con una interfaz que le proporcionará la ruta óptima a seguir teniendo en cuent (Spanish)
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Cool Routing¿ Does the project proposes an improvement in the transport of refrigerated goods using electric vehicle. The combination of refrigerated cargo on electric vehicle poses a difficulty added to the calculation of routes for electric vehicle, since external factors to take into account increases: concepts such as the characteristics of the refrigerated chamber, weather, human factors (point loss cold door open behavioral habits over the previous aspect), and characteristics of the load transported (maximum supported temperature) dramatically impact the calculation of delivery routes. The proposed solution ranges from adaptation / sensorización of an electric vehicle with a platform vehicle data collection to the design and development of a system for calculating routes and calculation of consumption. Finally, the user will have an interface that will provide optimal to continue taking into account the needs of electric vehicle charging and maintaining the temperature in the re (English)
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Paterna
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Identifiers
20F01020201A_IVCI00000DECA6063
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