Predictive road safety impact assessment of traffic management policies and measures. Issue 2 (June 2020)

• Record Type: Journal Article
• Authors: Kaparias, Ioannis; Liu, Peng; Tsakarestos, Antonios; Eden, Niv; Schmitz, Pierre; Hoadley, Suzanne; Hauptmann, Susanna
• Is Part Of: Case studies on transport policy. Volume 8:Issue 2(2020)
• Page Start: 508
• Page End: 516
• Publication Date: 2020-06
• Subjects: Transportation and state -- Case studies -- Periodicals; Transportation -- Planning -- Case studies -- Periodicals; Transportation -- Research -- Case studies -- Periodicals; 388.05
• DOI: 10.1016/j.cstp.2019.11.004
• Languages: English
• ISSNs: 2213-624X

Abstract

Highlights: A predictive road safety evaluation tool for non-technical audiences is introduced. Data from microscopic traffic simulation models are used as input. The framework is tested using a bus priority system case study in Brussels. Results show that there are mostly positive, but also some negative, safety impacts. The framework is found to capture the expected effects adequately well. 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.