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System to enable green route navigation Disclosure Number: IPCOM000188519D
Original Publication Date: 2009-Oct-12
Included in the Prior Art Database: 2009-Oct-12
Document File: 3 page(s) / 57K

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Modern satellite navigation systems are very sophisticated, and many options are available to tailor the choice of route suggested to better match the preferences of the driver (e.g. fastest time, shortest distance, avoid highways, etc.). However, there is one option that is not available in currents systems that will become more and more valuable as the price of fuel continues to increase. The missing option is that of selecting the route that will consume less fuel, thus optimizing on cost and reducing pollution.

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System to enable green route navigation

The system that can address to select a "green route" is described by the following figure 1:

Fig. 1

The data correlation module periodically retrieves location data from the navigation system and consumption data from the trip computer. These two pieces of information are retrieved simultaneously (or within a very small time window) as the invention requires the correlation of the two pieces of information. The correlated information is stored in local storage (such as a file or embedded database). The polling can take place either on a time-driven basis, or it can be triggered by other events, such as the vehicle having travelled a certain distance. The correlated data includes information such as the timestamp of the readings in order to enable fuel consumption calculations, in addition to the moment-in-time fuel consumption value and the location.

The following flow chart in figure 2 illustrates the steps in which the data correlation module is involved:


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Fig. 2

Note that (not shown) there will be an initialization of the local storage, where static information such as the car model is set, either automatically by the system or by manual input. Optionally, there can be intermediate initialization, when for instance a different driver takes ove

                                              . Driving style has a impact on fuel consumption, and statistically drivers of different ages tend to adopt different driving styles.

Periodically, the data stored locally is uploaded to a central server. This can be done using a wireless conne...