IET-ITS.2016.0024.pdf (1.67 MB)

Quantifying the effectiveness of ITS in improving safety of VRUs

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journal contribution
posted on 02.02.2017, 13:49 by Anne Silla, P. Rama, Lars Leden, Martijn van Noort, J. de Kruijff, D. Bell, Andrew Morris, Graham Hancox, Johan Scholliers
This paper presents the results of a safety impact assessment, providing quantitative estimates of the safety impacts of ten Intelligent Transport Systems (ITS) which were designed to improve safety, mobility and comfort of vulnerable road users (VRUs). The evaluation method originally developed to assess safety impacts of ITS for cars was now adapted for assessing safety impacts of ITS for VRUs. The main results of the assessment showed that nine ITS included in the quantitative safety impact assessment affected traffic safety in a positive way by preventing fatalities and injuries. At full penetration the highest effects were obtained for Pedestrian and Cyclists Detection System + Emergency Braking (PCDS+EBR), VRU Beacon System (VBS) and Intersection Safety (INS). The estimates for PCDS+EBR showed the maximum reduction of 7.5% on all road fatalities and 4.4% on all road injuries at full penetration, which comes down to an medium estimate of around 1,900 fatalities saved per year in the EU-28 when applying the 2012 accident data and 100% penetration rate. The results regarding future scenarios showed the highest effects in number of reduced fatalities per system in the EU-28 in 2030 for PCDS+EBR (-200 fatalities), Blind Spot Detection (BSD) (-22 fatalities), INS (-20 fatalities) and VBS (-11 fatalities).

Funding

The research was funded by the European Union's Seventh Framework Programme under grant agreement n° 321586 (VRUITS) and participating partners.

History

School

  • Design

Published in

IET Intelligent Transport Systems

Volume

11

Issue

3

Pages

164 - 172

Citation

SILLA, A. ... et al., 2017. Quantifying the effectiveness of ITS in improving safety of VRUs. IET Intelligent Transport Systems, 11(3), pp. 164-172.

Publisher

© Institution of Engineering and Technology

Version

AM (Accepted Manuscript)

Publisher statement

This work is made available according to the conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) licence. Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-nd/4.0/

Acceptance date

08/01/2017

Publication date

2017-01-12

Notes

This article was published in the journal IET Intelligent Transport Systems [© Institution of Engineering and Technology] and the definitive version is available at: http://dx.doi.org/10.1049/iet-its.2016.0024

ISSN

1751-956X

Language

en

Exports

Loughborough Publications

Keywords

Exports