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Predictive road safety impact assessment of traffic management policies and measures

Predictive road safety impact assessment of traffic management policies and measures
Predictive road safety impact assessment of traffic management policies and measures
In recent research the CONDUITS performance evaluation framework for traffic management and Intelligent Transport Systems (ITS) was developed, consisting of a set of Key Performance Indicators (KPIs) for the strategic themes of traffic efficiency, safety, pollution reduction and social inclusion. Follow-up work has concentrated on integrating the developed CONDUITS KPIs with microscopic traffic simulation. The outcome has been a predictive evaluation tool for traffic management and ITS, called CONDUITS_DST, in which two of the four KPI categories have been integrated previously: pollution and traffic efficiency. The objective of the present study is to further extend the predictive evaluation framework to include the theme of traffic safety. Contributing to the development of the CONDUITS_DST traffic safety module, the paper identifies and proposes relevant models and metrics linking traffic characteristics with road safety impacts. In doing so, it enables the extraction of the necessary input data for each of the three CONDUITS KPIs for traffic safety (accidents, direct impacts, and indirect impacts) directly from microscopic traffic simulation models. The proposed models and metrics are tested in conjunction with the relevant CONDUITS KPIs for safety using data from simulation models before and after the implementation of a bus priority signalling system in Brussels. Testing takes place both at the network level, but also at the level of individual links, and the results show that the framework is able to capture the expected safety impacts adequately well, paving the way towards its implementation is the traffic safety module of CONDUITS_DST.
2213-624X
508-516
Kaparias, I.
e7767c57-7ac8-48f2-a4c6-6e3cb546a0b7
Liu, P.
3a7e2903-5109-4a5a-a5b2-ec5bbe2f463a
Tsakarestos, A.
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Eden, N.
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Schmitz, P.
a29f4cc5-ce60-4da7-ac2e-9942899baf6d
Hoadley, S.
d25c565f-fb2f-4c36-b10b-79315f37e783
Hauptmann, S.
bce3d331-f088-4e30-ba57-02c0f1910f86
Kaparias, I.
e7767c57-7ac8-48f2-a4c6-6e3cb546a0b7
Liu, P.
3a7e2903-5109-4a5a-a5b2-ec5bbe2f463a
Tsakarestos, A.
0bfb562d-f2be-4b21-be92-c89d21010d0c
Eden, N.
5b78b9f1-bca5-442b-b486-6de89fa1b261
Schmitz, P.
a29f4cc5-ce60-4da7-ac2e-9942899baf6d
Hoadley, S.
d25c565f-fb2f-4c36-b10b-79315f37e783
Hauptmann, S.
bce3d331-f088-4e30-ba57-02c0f1910f86

Kaparias, I., Liu, P., Tsakarestos, A., Eden, N., Schmitz, P., Hoadley, S. and Hauptmann, S. (2020) Predictive road safety impact assessment of traffic management policies and measures. Case Studies on Transport Policy, 8 (2), 508-516. (doi:10.1016/j.cstp.2019.11.004).

Record type: Article

Abstract

In recent research the CONDUITS performance evaluation framework for traffic management and Intelligent Transport Systems (ITS) was developed, consisting of a set of Key Performance Indicators (KPIs) for the strategic themes of traffic efficiency, safety, pollution reduction and social inclusion. Follow-up work has concentrated on integrating the developed CONDUITS KPIs with microscopic traffic simulation. The outcome has been a predictive evaluation tool for traffic management and ITS, called CONDUITS_DST, in which two of the four KPI categories have been integrated previously: pollution and traffic efficiency. The objective of the present study is to further extend the predictive evaluation framework to include the theme of traffic safety. Contributing to the development of the CONDUITS_DST traffic safety module, the paper identifies and proposes relevant models and metrics linking traffic characteristics with road safety impacts. In doing so, it enables the extraction of the necessary input data for each of the three CONDUITS KPIs for traffic safety (accidents, direct impacts, and indirect impacts) directly from microscopic traffic simulation models. The proposed models and metrics are tested in conjunction with the relevant CONDUITS KPIs for safety using data from simulation models before and after the implementation of a bus priority signalling system in Brussels. Testing takes place both at the network level, but also at the level of individual links, and the results show that the framework is able to capture the expected safety impacts adequately well, paving the way towards its implementation is the traffic safety module of CONDUITS_DST.

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Kaparias et al - CSTP paper - Accepted Manuscript
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More information

Accepted/In Press date: 3 November 2019
e-pub ahead of print date: 6 November 2019
Published date: June 2020

Identifiers

Local EPrints ID: 435777
URI: http://eprints.soton.ac.uk/id/eprint/435777
ISSN: 2213-624X
PURE UUID: 7dd929f6-fd7b-4821-94ea-5707de825c46
ORCID for I. Kaparias: ORCID iD orcid.org/0000-0002-8857-1865

Catalogue record

Date deposited: 20 Nov 2019 17:30
Last modified: 26 Nov 2021 06:32

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Contributors

Author: I. Kaparias ORCID iD
Author: P. Liu
Author: A. Tsakarestos
Author: N. Eden
Author: P. Schmitz
Author: S. Hoadley
Author: S. Hauptmann

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