Literature DB >> 22664669

How much benefit does Intelligent Speed Adaptation deliver: an analysis of its potential contribution to safety and environment.

Frank Lai1, Oliver Carsten, Fergus Tate.   

Abstract

The UK Intelligent Speed Adaptation (ISA) project produced a rich database with high-resolution data on driver behaviour covering a comprehensive range of road environment. The field trials provided vital information on driver behaviour in the presence of ISA. The purpose of this paper is to exploit the information gathered in the field trials to predict the impacts of various forms of ISA and to assess whether ISA is viable in terms of benefit-to-cost ratio. ISA is predicted to save up to 33% of accidents on urban roads, and to reduce CO(2) emissions by up to 5.8% on 70 mph roads. In order to investigate the long-term impacts of ISA, two hypothetical deployment scenarios were envisaged covering a 60-year appraisal period. The results indicate that ISA could deliver a very healthy benefit-to-cost ratio, ranging from 3.4 to 7.4, depending on the deployment scenarios. Under both deployment scenarios, ISA has recovered its implementation costs in less than 15 years. It can be concluded that implementation of ISA is clearly justified from a social cost and benefit perspective. Of the two deployment scenarios, the Market Driven one is substantially outperformed by the Authority Driven one. The benefits of ISA on fuel saving and emission reduction are real but not substantial, in comparison with the benefits on accident reduction; up to 98% of benefits are attributable to accident savings. Indeed, ISA is predicted to lead to a savings of 30% in fatal crashes and 25% in serious crashes over the 60-year period modelled.
Copyright © 2011 Elsevier Ltd. All rights reserved.

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Year:  2011        PMID: 22664669     DOI: 10.1016/j.aap.2011.04.011

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


  2 in total

Review 1.  Use, perceptions, and benefits of automotive technologies among aging drivers.

Authors:  David W Eby; Lisa J Molnar; Liang Zhang; Renée M St Louis; Nicole Zanier; Lidia P Kostyniuk; Sergiu Stanciu
Journal:  Inj Epidemiol       Date:  2016-12-19

2.  Dynamic Speed Adaptation for Path Tracking Based on Curvature Information and Speed Limits.

Authors:  Citlalli Gámez Serna; Yassine Ruichek
Journal:  Sensors (Basel)       Date:  2017-06-14       Impact factor: 3.576

  2 in total

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