Driving style estimation via inertial measurements

By Vincenzo Manzoni, Andrea Corti, P. Luca, Sergio M. Savaresi. 2010

71 citations recorded by the source corpus.

Subfields: Automotive Engineering, Fluid Flow and Transfer Processes

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Automotive Engineering

1. Bo Gao
2. Gediminas Zylius
3. Paulius Lengvenis
4. Dongpu Cao
5. Vygandas Vaitkus

Citations in the corpus

• Driving Style Recognition for Intelligent Vehicle Control and Advanced Driver Assistance: A Survey (2018, methodology): “Manzoni et al. used an estimation of the fuel consumed along the trip and compared it to a benchmarked value to calculate an over-consumption percentage indicative of extra cost [26].”
• Quantitative Driving Style Estimation for Energy-Oriented Applications in Road Vehicles (2013, methodology): “The first attempts in assessing the driving style via inertial measurements can be found in [4], [12], where a method was designed to evaluate the performance of public bus drivers.”
• Driving style classification using long-term accelerometer information (2014, methodology): “[5] evaluate driving style economy considering fuel consumption using mathematical modeling and information acquired from inertial signals and speed from GPS.”