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Experimental evaluation of a system for assisting motorcyclists to safely ride road bends

Experimental evaluation of a system for assisting motorcyclists to safely ride road bends
Experimental evaluation of a system for assisting motorcyclists to safely ride road bends
Introduction: Road bends of extra-urban and rural roads are known to be particularly relevant for motorcycle riding safety. For this reason a Curve Warning system has been developed for assisting the motorcyclists to safely approach bends and curves.

System Description: The system is organized in three layers: the first is the scenario detection that uses on-board sensors and digital maps to feed the second layer, which is the risk assessment layer. This second layer combines road geometry, motorcycle dynamics, and rider style in a holistic approach for computing a safe reference maneuver and for detecting potential dangers in the curve negotiation. The safe reference maneuver is continuously recalculated to follow the evolving scenario according to a receding horizon approach. In case of potential danger, the third layer warns the rider by a proper Human Machine Interface, leaving to the rider the vehicle control.

Paper contents: This paper explains the Curve Warning concept and illustrates its implementation, development, and tuning on a motorcycle prototype. The latter has been used for a pilot campaign of road tests, which demonstrated that the system is capable of early detection of potential danger situations, and that riders have a positive attitude towards the Curve Warning system itself.
advanced rider assistance systems, curve, curve warning, motorcycle, receding horizon control
1867-0717
411-423
Biral, F.
30f2a203-ada0-4913-8963-34a35eb15948
Bosetti, P.
aeae9a94-10e2-4b0a-b21e-1067d66baace
Lot, R.
ceb0ca9c-6211-4051-a7b8-90fd6f0a6d78
Biral, F.
30f2a203-ada0-4913-8963-34a35eb15948
Bosetti, P.
aeae9a94-10e2-4b0a-b21e-1067d66baace
Lot, R.
ceb0ca9c-6211-4051-a7b8-90fd6f0a6d78

Biral, F., Bosetti, P. and Lot, R. (2014) Experimental evaluation of a system for assisting motorcyclists to safely ride road bends. European Transport Research Review, 6 (4), 411-423. (doi:10.1007/s12544-014-0140-6).

Record type: Article

Abstract

Introduction: Road bends of extra-urban and rural roads are known to be particularly relevant for motorcycle riding safety. For this reason a Curve Warning system has been developed for assisting the motorcyclists to safely approach bends and curves.

System Description: The system is organized in three layers: the first is the scenario detection that uses on-board sensors and digital maps to feed the second layer, which is the risk assessment layer. This second layer combines road geometry, motorcycle dynamics, and rider style in a holistic approach for computing a safe reference maneuver and for detecting potential dangers in the curve negotiation. The safe reference maneuver is continuously recalculated to follow the evolving scenario according to a receding horizon approach. In case of potential danger, the third layer warns the rider by a proper Human Machine Interface, leaving to the rider the vehicle control.

Paper contents: This paper explains the Curve Warning concept and illustrates its implementation, development, and tuning on a motorcycle prototype. The latter has been used for a pilot campaign of road tests, which demonstrated that the system is capable of early detection of potential danger situations, and that riders have a positive attitude towards the Curve Warning system itself.

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More information

Accepted/In Press date: 16 May 2014
e-pub ahead of print date: 18 June 2014
Published date: December 2014
Keywords: advanced rider assistance systems, curve, curve warning, motorcycle, receding horizon control
Organisations: Energy Technology Group

Identifiers

Local EPrints ID: 382091
URI: http://eprints.soton.ac.uk/id/eprint/382091
ISSN: 1867-0717
PURE UUID: 7b40a995-8b6b-46e8-81cd-161258199999
ORCID for R. Lot: ORCID iD orcid.org/0000-0001-5022-5724

Catalogue record

Date deposited: 01 Oct 2015 12:47
Last modified: 14 Mar 2024 21:25

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Contributors

Author: F. Biral
Author: P. Bosetti
Author: R. Lot ORCID iD

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