01593446

Component

https://doi.org/10.3141/2551-03

Adverse weather poses a significant threat to transportation safety. Road weather information systems (RWIS) are used to mitigate the impact of adverse weather. Because of the lack of detailed, unified guidelines and because of diverse weather conditions across the United States, state and city transportation agencies follow different practices for choosing locations for environmental sensor stations. This paper proposes a comprehensive cell-based methodology that optimizes overall benefits of RWIS based on weather-sensitive crash characterizations and using both normal and adverse weather crash data. The proposed approach is especially suited to optimizing regionwide environmental sensor station locations involving many road segments. A case study concerning RWIS deployment in Austin, Texas, was conducted with data from a crash records information system for 2010 to 2013.

01594661

16-6348

English

pp 18–28

2016

Transportation Research Record: Journal of the Transportation Research Board

9780309441230

Print

Figures (6) ; Maps; References (31) ; Tables (2)

Case studies; Crash data; Data analysis; Environmental monitoring; Genetic algorithms; Location; Optimization; Road weather information systems; Sensors; Spatial analysis; Weather conditions

Environmental sensor stations

Austin (Texas)

Environment; Highways; Maintenance and Preservation; Operations and Traffic Management; Safety and Human Factors

TRIS, TRB, ATRI

Jan 12 2016 6:49PM

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