Literature DB >> 27189629

Can cyclist safety be improved with intelligent transport systems?

Anne Silla1, Lars Leden2, Pirkko Rämä3, Johan Scholliers4, Martijn Van Noort5, Daniel Bell6.   

Abstract

In recent years, Intelligent Transport Systems (ITS) have assisted in the decrease of road traffic fatalities, particularly amongst passenger car occupants. Vulnerable Road Users (VRUs) such as pedestrians, cyclists, moped riders and motorcyclists, however, have not been that much in focus when developing ITS. Therefore, there is a clear need for ITS which specifically address VRUs as an integrated element of the traffic system. This paper presents the results of a quantitative safety impact assessment of five systems that were estimated to have high potential to improve the safety of cyclists, namely: Blind Spot Detection (BSD), Bicycle to Vehicle communication (B2V), Intersection safety (INS), Pedestrian and Cyclist Detection System+Emergency Braking (PCDS+EBR) and VRU Beacon System (VBS). An ex-ante assessment method proposed by Kulmala (2010) targeted to assess the effects of ITS for cars was applied and further developed in this study to assess the safety impacts of ITS specifically designed for VRUs. The main results of the assessment showed that all investigated systems affect cyclist safety in a positive way by preventing fatalities and injuries. The estimates considering 2012 accident data and full penetration showed that the highest effects could be obtained by the implementation of PCDS+EBR and B2V, whereas VBS had the lowest effect. The estimated yearly reduction in cyclist fatalities in the EU-28 varied between 77 and 286 per system. A forecast for 2030, taking into accounts the estimated accident trends and penetration rates, showed the highest effects for PCDS+EBR and BSD.
Copyright © 2016 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Assessment; Cyclists; ITS; Safety

Mesh:

Year:  2016        PMID: 27189629     DOI: 10.1016/j.aap.2016.05.003

Source DB:  PubMed          Journal:  Accid Anal Prev        ISSN: 0001-4575


  4 in total

1.  Cycling injury risk in London: A case-control study exploring the impact of cycle volumes, motor vehicle volumes, and road characteristics including speed limits.

Authors:  Rachel Aldred; Anna Goodman; John Gulliver; James Woodcock
Journal:  Accid Anal Prev       Date:  2018-04-13

2.  Traffic Crash Characteristics in Shenzhen, China from 2014 to 2016.

Authors:  Guofa Li; Yuan Liao; Qiangqiang Guo; Caixiong Shen; Weijian Lai
Journal:  Int J Environ Res Public Health       Date:  2021-01-28       Impact factor: 3.390

3.  Intelligent transportation systems (ITS): A systematic review using a Natural Language Processing (NLP) approach.

Authors:  Tsarina Dwi Putri
Journal:  Heliyon       Date:  2021-12-16

4.  Blind-Spot Collision Detection System for Commercial Vehicles Using Multi Deep CNN Architecture.

Authors:  Muhammad Muzammel; Mohd Zuki Yusoff; Mohamad Naufal Mohamad Saad; Faryal Sheikh; Muhammad Ahsan Awais
Journal:  Sensors (Basel)       Date:  2022-08-15       Impact factor: 3.847

  4 in total

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