The University of Southampton
University of Southampton Institutional Repository

Testing a reliable in-vehicle navigation algorithm in the field

Testing a reliable in-vehicle navigation algorithm in the field
Testing a reliable in-vehicle navigation algorithm in the field
The results of a field experiment carried out to assess the accuracy and efficiency of a new in-vehicle navigation algorithm, whose aim is to incorporate and consider travel time reliability and route the guided vehicle along uncongested roads, in the absence of real-time traffic information are presented. Using historical travel time profiles deduced from floating vehicle data, the algorithm is implemented in a purpose-developed software tool and tested in the London Congestion Charging Zone. The experiment consists of driving a vehicle along routes computed by the algorithm and comparing the outcome with that of a conventional navigation system installed in a second vehicle. The results indicate that the new algorithm outperforms the conventional system in most cases, thus suggesting that it is a step forward towards a more intelligent navigation system.
1751-956X
314-324
Kaparias, Ioannis
e7767c57-7ac8-48f2-a4c6-6e3cb546a0b7
Bell, M.G.H.
3f85fc3d-c741-4ae4-81bb-df69e84a1c2b
Kaparias, Ioannis
e7767c57-7ac8-48f2-a4c6-6e3cb546a0b7
Bell, M.G.H.
3f85fc3d-c741-4ae4-81bb-df69e84a1c2b

Kaparias, Ioannis and Bell, M.G.H. (2009) Testing a reliable in-vehicle navigation algorithm in the field. IET Intelligent Transport Systems, 3 (3), 314-324. (doi:10.1049/iet-its.2008.0075).

Record type: Article

Abstract

The results of a field experiment carried out to assess the accuracy and efficiency of a new in-vehicle navigation algorithm, whose aim is to incorporate and consider travel time reliability and route the guided vehicle along uncongested roads, in the absence of real-time traffic information are presented. Using historical travel time profiles deduced from floating vehicle data, the algorithm is implemented in a purpose-developed software tool and tested in the London Congestion Charging Zone. The experiment consists of driving a vehicle along routes computed by the algorithm and comparing the outcome with that of a conventional navigation system installed in a second vehicle. The results indicate that the new algorithm outperforms the conventional system in most cases, thus suggesting that it is a step forward towards a more intelligent navigation system.

This record has no associated files available for download.

More information

Published date: 11 September 2009
Organisations: Transportation Group

Identifiers

Local EPrints ID: 402352
URI: http://eprints.soton.ac.uk/id/eprint/402352
ISSN: 1751-956X
PURE UUID: d47f7f08-7b91-449e-98ea-bb57dec18f2f
ORCID for Ioannis Kaparias: ORCID iD orcid.org/0000-0002-8857-1865

Catalogue record

Date deposited: 09 Nov 2016 16:31
Last modified: 15 Mar 2024 03:57

Export record

Altmetrics

Contributors

Author: M.G.H. Bell

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×