A Co-Operative Methodology to Estimate Car Fuel Consumption by Using Smartphone Sensors

Abstract

The European Commission has recently promoted research programs aimed at finding solutions to the ever more compelling problem of air pollution from road vehicles and has also indicated a better sustainability among the possible impacts of co-operative Intelligent Transportation Systems. In fact, many practical solutions can be developed that allow drivers and management to optimise resources and to contain costs and the emissions of pollutants by applying communication systems between vehicles (Vehicle-to-Vehicle – V2V) and between vehicles and infrastructure (Vehicle-to-Infrastructure – V2I). Along this mainstream this paper present a co-operative system which offer drivers the ability to manage their consumption and driving style, suggesting corrections to the usually adopted behaviour. The new contribution of this paper is both the co-operative approach between drivers to achieve a common goal of a better common energy consumption strategy and a methodology to estimate fuel consumption just by using Satellite data obtained from a simple smartphone. Since the fuel consumption has to be evaluated with regards to the specific vehicle type the system is based also on crowdsourcing of the specific vehicle consumption performances. The paper describes a system that gathers data on fuel consumption from the co-operating drivers that can build together the data set necessary to the system itself once they accept this paper paradigm: crowd sourced co-operation for a smarter and more sustainable transport system.

Plataforma Modular Reconfigurable como Nueva Filosofía para el Desarrollo de Electrónica Vehicular Actualizable

“…Algunos ejemplos de aplicación se muestran en Garrido et al (2016), donde se realiza un cálculo de trayectorias en intersecciones en tiempo real o en Flores et al (2016) dónde se estudia el uso del cálculo fraccional para el seguimiento cooperativo de vehículos. Asimismo, en Astarita et al (2015) se estudia una metodología cooperativa para establecer el consumo de combustible en tiempo real, o en Bifulco et al (2015) un modelo lineal para estimar la influencia en el consumo de los ADAS. Aquí se vislumbra ya el enlace que hay entre ADAS y los sistemas colaborativos.…”

“…Más tarde en Wallmark et al (2014) se lleva a cabo un demostrador de vehículo que permite realizar ensayos, no sobre un vehículo comercial, sino sobre uno abierto que permite un control absoluto de la mecánica y de la electrónica. En Astarita et al (2015) se propone una forma de expandir funcionalidades ITS a los vehículos no inteligentes empleando para ello el teléfono inteligente como pasarela. En la regulación (EU) No 165/2014 sobre tacógrafos inteligentes, se establece que a partir de 2017 todos los camiones deben incorporar una unidad con conexión a internet.…”

The Use of Adaptive Traffic Signal Systems Based on Floating Car Data

“…Other works have been focused on obtaining road pavement conditions and fuel consumption estimation from mobile phones: Astarita et al [17], Mohan et al [18], and Astarita et al [19]. Dailey and Cathey [20] proposed the use of data coming from transit vehicles to estimate traffic speeds.…”

A Review of Blockchain-Based Systems in Transportation

“…Traditional efforts to solve congestion problems have been centred in attempts to move the demand on the transit system [96] and on a better management of road traffic using tools such as traffic simulation [97][98][99][100][101][102], dynamic network loading equilibria, and dynamic models [103,104] for the simulation and management of user route choice [105][106][107][108][109]. New technologies such as intelligent transportation systems and co-operative intelligent transportation systems (C-ITS) have also been considered for an increase in road traffic sustainability [110][111][112], though the true innovation is possibly coming from the future generation of vehicles that will be electric, "connected," and "autonomous." New vehicles are considered by many the key to completely transform traffic networks in terms of reduced energy consumption, improved safety, and reduced pollution.…”