Using floating car data to analyse the effects of ITS measures and eco-driving

García Castro, Álvaro and Monzón de Cáceres, Andrés (2014). Using floating car data to analyse the effects of ITS measures and eco-driving. "Sensors", v. 14 (n. 11); pp. 21358-21374. ISSN 1424-8220. https://doi.org/10.3390/s141121358.

Description

Title: Using floating car data to analyse the effects of ITS measures and eco-driving
Author/s:
  • García Castro, Álvaro
  • Monzón de Cáceres, Andrés
Item Type: Article
Título de Revista/Publicación: Sensors
Date: November 2014
Volume: 14
Subjects:
Freetext Keywords: CO2 emissions; speed profiles; traffic simulation; vehicle tracking; smartphones; variable speed limits; section speed control; cruise control; eco-driving
Faculty: Centro de Investigación del Transporte (TRANSyT) (UPM)
Department: Ingeniería Civil: Transporte y Territorio
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

The road transportation sector is responsible for around 25% of total man-made CO2 emissions worldwide. Considerable efforts are therefore underway to reduce these emissions using several approaches, including improved vehicle technologies, traffic management and changing driving behaviour. Detailed traffic and emissions models are used extensively to assess the potential effects of these measures. However, if the input and calibration data are not sufficiently detailed there is an inherent risk that the results may be inaccurate. This article presents the use of Floating Car Data to derive useful speed and acceleration values in the process of traffic model calibration as a means of ensuring more accurate results when simulating the effects of particular measures. The data acquired includes instantaneous GPS coordinates to track and select the itineraries, and speed and engine performance extracted directly from the on-board diagnostics system. Once the data is processed, the variations in several calibration parameters can be analyzed by comparing the base case model with the measure application scenarios. Depending on the measure, the results show changes of up to 6.4% in maximum speed values, and reductions of nearly 15% in acceleration and braking levels, especially when eco-driving is applied.

Funding Projects

TypeCodeAcronymLeaderTitle
FP7288568ICT-EmissionsARISTOTELIO PANEPISTIMIO THESSALONIKISDevelopment of a methodology and tool to evaluate the impact of ICT measures on road transport emissions

More information

Item ID: 33345
DC Identifier: http://oa.upm.es/33345/
OAI Identifier: oai:oa.upm.es:33345
DOI: 10.3390/s141121358
Official URL: http://www.ncbi.nlm.nih.gov/pubmed/25393787
Deposited by: Memoria Investigacion
Deposited on: 11 Apr 2015 11:10
Last Modified: 14 May 2019 12:16
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