This work presents a cloud-based system devoted to provide to Heavy-Duty Vehicles (HDVs) the route that guarantees the minimum fuel consumption and the maximum travel time. To this aim, given a specified mission, the Cloud Optimizer builds a route network collecting the main possible routes from the assigned origin to the destination. Moreover, an updated HDV longitudinal model that integrates predictive traffic, weather conditions, road topography and load factor is presented in order to determine the optimized velocity and gear profiles. Finally, the cloud system finds the route the minimizes the fuel consumption and the travel time by finding the minimum path in the weighted route network.https://youtu.be/P-wpeiTipr
Recent advances in green and smart mobility aim to reduce congestion and foster greener, cheaper and...
Sustainable Mobility is a key goal to reduce pollution and improve quality of life. Information Tech...
International audienceIn a previous work, a bi-level optimization approach was presented for the ene...
Transportation underlines the vehicle industry's critical role in a country's economic future.The am...
In this paper, a complete eco-driving strategy for heavy-duty trucks (HDT) based on a finite number ...
This paper presents a Cloud-based system computing customized and practically fast driving routes fo...
International audienceOver the last decade, great efforts are invested in reducing emissions of gree...
International audienceOver the last decade, great efforts are invested in reducing emissions of gree...
We propose an eco-driving technique for a heavyduty ego vehicle that drives behind a leading heavy-d...
The use of real-time information in Intelligent Transportation Systems (ITS) in particular Vehicular...
AbstractNowadays, several methods to promote a more sustainable distribution of traffic flows are av...
Freight transport is a fast increasing transportation mode due to the economic growth in the world. ...
Smart usage of energy is one of the most important topics. It also includes personal vehicles, regar...
Ever-growing energy consumption and CO2 emissions due to the increase in road transport are major ch...
AbstractCurrently, only a small minority of commercial vehicles on the market are fitted with altern...
Recent advances in green and smart mobility aim to reduce congestion and foster greener, cheaper and...
Sustainable Mobility is a key goal to reduce pollution and improve quality of life. Information Tech...
International audienceIn a previous work, a bi-level optimization approach was presented for the ene...
Transportation underlines the vehicle industry's critical role in a country's economic future.The am...
In this paper, a complete eco-driving strategy for heavy-duty trucks (HDT) based on a finite number ...
This paper presents a Cloud-based system computing customized and practically fast driving routes fo...
International audienceOver the last decade, great efforts are invested in reducing emissions of gree...
International audienceOver the last decade, great efforts are invested in reducing emissions of gree...
We propose an eco-driving technique for a heavyduty ego vehicle that drives behind a leading heavy-d...
The use of real-time information in Intelligent Transportation Systems (ITS) in particular Vehicular...
AbstractNowadays, several methods to promote a more sustainable distribution of traffic flows are av...
Freight transport is a fast increasing transportation mode due to the economic growth in the world. ...
Smart usage of energy is one of the most important topics. It also includes personal vehicles, regar...
Ever-growing energy consumption and CO2 emissions due to the increase in road transport are major ch...
AbstractCurrently, only a small minority of commercial vehicles on the market are fitted with altern...
Recent advances in green and smart mobility aim to reduce congestion and foster greener, cheaper and...
Sustainable Mobility is a key goal to reduce pollution and improve quality of life. Information Tech...
International audienceIn a previous work, a bi-level optimization approach was presented for the ene...