IET-ITS.2016.0024.pdf (1.67 MB)
Quantifying the effectiveness of ITS in improving safety of VRUs
journal contribution
posted on 2017-02-02, 13:49 authored by Anne Silla, P. Rama, Lars Leden, Martijn van Noort, J. de Kruijff, D. Bell, Andrew MorrisAndrew Morris, Graham Hancox, Johan ScholliersThis 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 SystemsVolume
11Issue
3Pages
164 - 172Citation
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 TechnologyVersion
- 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
2017-01-08Publication date
2017-01-12Notes
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.2016.0024ISSN
1751-956XPublisher version
Language
- en