Forecasting and evaluation of traffic safety impacts: driving assistance systems against road infrastructure measures
(2007) 13th Intelligent Transport Systems World Congress 1(2). p.117-123- Abstract
- The authors examine the use of a one-variable first-order grey model ( GM( 1,1)), to model and forecast the trend of the level of cumulative traffic accident severity for strategic scenarios for implementation of driving assistance systems, physical infrastructure redesign and combinations of the two categories of measures. The accident severity levels ( in terms of fatalities and hospitalisations) of five scenarios for the period 2003-2007 are analysed and modelled. In addition, the trend of fatalities and hospitalisations for each scenario for the years 2008 until 2010 is forecasted. For further policy evaluation, the costs of each scenario ( for the years 2003 2010) are estimated. By using cost-effectiveness analysis (CEA) the five... (More)
- The authors examine the use of a one-variable first-order grey model ( GM( 1,1)), to model and forecast the trend of the level of cumulative traffic accident severity for strategic scenarios for implementation of driving assistance systems, physical infrastructure redesign and combinations of the two categories of measures. The accident severity levels ( in terms of fatalities and hospitalisations) of five scenarios for the period 2003-2007 are analysed and modelled. In addition, the trend of fatalities and hospitalisations for each scenario for the years 2008 until 2010 is forecasted. For further policy evaluation, the costs of each scenario ( for the years 2003 2010) are estimated. By using cost-effectiveness analysis (CEA) the five scenarios for improving road traffic safety are compared. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/1407316
- author
- Lu, Meng LU and Wevers, K.
- organization
- publishing date
- 2007
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- host publication
- IET Intelligent Transport Systems
- volume
- 1
- issue
- 2
- pages
- 117 - 123
- publisher
- Institution of Engineering and Technology
- conference name
- 13th Intelligent Transport Systems World Congress
- conference dates
- 0001-01-02
- external identifiers
-
- wos:000255044800010
- scopus:34249024869
- ISSN
- 1751-956X
- 1751-9578
- DOI
- 10.1049/iet-its:20060080
- language
- English
- LU publication?
- yes
- id
- a93dd385-598d-4f0a-8c43-5720eb2d0b6e (old id 1407316)
- date added to LUP
- 2016-04-01 12:11:10
- date last changed
- 2024-01-08 11:29:21
@inproceedings{a93dd385-598d-4f0a-8c43-5720eb2d0b6e,
abstract = {{The authors examine the use of a one-variable first-order grey model ( GM( 1,1)), to model and forecast the trend of the level of cumulative traffic accident severity for strategic scenarios for implementation of driving assistance systems, physical infrastructure redesign and combinations of the two categories of measures. The accident severity levels ( in terms of fatalities and hospitalisations) of five scenarios for the period 2003-2007 are analysed and modelled. In addition, the trend of fatalities and hospitalisations for each scenario for the years 2008 until 2010 is forecasted. For further policy evaluation, the costs of each scenario ( for the years 2003 2010) are estimated. By using cost-effectiveness analysis (CEA) the five scenarios for improving road traffic safety are compared.}},
author = {{Lu, Meng and Wevers, K.}},
booktitle = {{IET Intelligent Transport Systems}},
issn = {{1751-956X}},
language = {{eng}},
number = {{2}},
pages = {{117--123}},
publisher = {{Institution of Engineering and Technology}},
title = {{Forecasting and evaluation of traffic safety impacts: driving assistance systems against road infrastructure measures}},
url = {{http://dx.doi.org/10.1049/iet-its:20060080}},
doi = {{10.1049/iet-its:20060080}},
volume = {{1}},
year = {{2007}},
}