Multivariate and location-specific correlates of fuel consumption: A test track study

Current predictors of fuel consumption are typically based on computer simulations or data collections in real traffic, where the route and vehicle type are not under the researcher's control. Here, we predicted fuel consumption using test track data, an approach that allowed for location-specific predictions. Ninety-one drivers drove a total...

Level of Service estimation with in-vehicle sensor floating car data

In the Smart In-Car project, in-vehicle signals obtained from the CAN (Controller Area Network) bus are collected along with the GPS position from 200 equipped vehicles. The main CAN bus signals in the available data set from the Smart In-Car project are: speedometer, brake usage, steering position, rpm, indicator usage and fuel consumption, but...