A Comparative Study of Weather Effects on Black Spot Identification for Motorways and Urban Arterials Roads
Paper i proceeding, 2018

It is well acknowledged that the seasonality (dry or rainy seasons) has significant impacts on crashes. Being able to differentiate the crashes that occur because of poor surface conditions (i.e., when the road is wet) is important for the economical use of available resources, as these segments of roads may only require signage and/or resurfacing. However, this effect is always ignored in the traditional black spot identification (BSID) techniques. This paper proposes an improved BSID model by taking into account the wet/dry crash rate ratio. Comparative study based on a high-speed motorway and a relatively low-speed urban arterials road is carried out. Results indicate that the proposed model has good applicability. The impact of rainfall has been minimized on the results of a BSID analysis.

Weather effects

Wet/dry crash rate ratio


Comparative study

Black spot identification


Jin Zhang

Griffith University

Xiaobo Qu

Chalmers, Arkitektur och samhällsbyggnadsteknik, Geologi och geoteknik

Yadan Yan

Zhengzhou University

CICTP 2018: Intelligence, Connectivity, and Mobility - Proceedings of the 18th COTA International Conference of Transportation Professionals


18th COTA International Conference of Transportation Professionals: Intelligence, Connectivity, and Mobility, CICTP 2018
Beijing, China,




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