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Cyclist 360° Alert: development and testing of a prototype instrumented bicycle model for the prevention of cyclist accidents

Cyclist 360° Alert: development and testing of a prototype instrumented bicycle model for the prevention of cyclist accidents
Cyclist 360° Alert: development and testing of a prototype instrumented bicycle model for the prevention of cyclist accidents
Cycling is an increasingly popular mode of travel in cities owing to the great advantages that it offers in terms of space consumption, health and environmental sustainability, and is therefore favoured and promoted by many city authorities worldwide. However, cycling is also perceived as relatively unsafe, and therefore it has yet to be adopted as a viable alternative to the private car. Rising accident numbers, unfortunately, confirm this perception as reality, with a particular source of hazard (and a significant proportion of collisions) appearing to originate from the interaction of cyclists with Heavy Vehicles (HVs). This paper introduces Cyclist 360° Alert, a novel technological solution aimed at tackling this problem and ultimately improving the safety of cyclists and promoting it to non-riders. Following a thorough review of the trends of cyclist collisions, which sets the motivation of the research, the paper goes on to present the Cyclist 360° Alert system architecture design, and examines possible technologies and techniques that can be employed in the accurate positioning of cyclists and vehicles. It then focuses in particular on the aspect of bicycle tracking, and proposes a localisation approach based on micro-electromechanical systems (MEMS) sensor configurations. Initial experimental results from a set of controlled experiments using a purpose-developed prototype bicycle simulator model, are reported, and conclusions on the applicability of specific sensor configurations are drawn, both in terms of sensor accuracy and reliability in taking sample measurements of motion.
Miah, S.
37ad43a4-40c2-4ae2-8a9f-c7304d501027
Kaparias, I.
e7767c57-7ac8-48f2-a4c6-6e3cb546a0b7
Liatsis, P.
0a1922ae-3e52-4c53-8370-cbda39eb3485
Miah, S.
37ad43a4-40c2-4ae2-8a9f-c7304d501027
Kaparias, I.
e7767c57-7ac8-48f2-a4c6-6e3cb546a0b7
Liatsis, P.
0a1922ae-3e52-4c53-8370-cbda39eb3485

Miah, S., Kaparias, I. and Liatsis, P. (2015) Cyclist 360° Alert: development and testing of a prototype instrumented bicycle model for the prevention of cyclist accidents. 47th Annual Conference of the Universities’ Transport Study Group, London, United Kingdom. 05 - 07 Jan 2015. 12 pp .

Record type: Conference or Workshop Item (Paper)

Abstract

Cycling is an increasingly popular mode of travel in cities owing to the great advantages that it offers in terms of space consumption, health and environmental sustainability, and is therefore favoured and promoted by many city authorities worldwide. However, cycling is also perceived as relatively unsafe, and therefore it has yet to be adopted as a viable alternative to the private car. Rising accident numbers, unfortunately, confirm this perception as reality, with a particular source of hazard (and a significant proportion of collisions) appearing to originate from the interaction of cyclists with Heavy Vehicles (HVs). This paper introduces Cyclist 360° Alert, a novel technological solution aimed at tackling this problem and ultimately improving the safety of cyclists and promoting it to non-riders. Following a thorough review of the trends of cyclist collisions, which sets the motivation of the research, the paper goes on to present the Cyclist 360° Alert system architecture design, and examines possible technologies and techniques that can be employed in the accurate positioning of cyclists and vehicles. It then focuses in particular on the aspect of bicycle tracking, and proposes a localisation approach based on micro-electromechanical systems (MEMS) sensor configurations. Initial experimental results from a set of controlled experiments using a purpose-developed prototype bicycle simulator model, are reported, and conclusions on the applicability of specific sensor configurations are drawn, both in terms of sensor accuracy and reliability in taking sample measurements of motion.

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More information

Accepted/In Press date: 22 September 2014
Published date: January 2015
Venue - Dates: 47th Annual Conference of the Universities’ Transport Study Group, London, United Kingdom, 2015-01-05 - 2015-01-07
Organisations: Transportation Group

Identifiers

Local EPrints ID: 402615
URI: http://eprints.soton.ac.uk/id/eprint/402615
PURE UUID: f1cbcb14-b3c5-4548-b3d2-5d5312597a26
ORCID for I. Kaparias: ORCID iD orcid.org/0000-0002-8857-1865

Catalogue record

Date deposited: 11 Nov 2016 16:54
Last modified: 15 Mar 2024 03:57

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Contributors

Author: S. Miah
Author: I. Kaparias ORCID iD
Author: P. Liatsis

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