RT Journal Article
A1 Johan Casselgren
AD Department of Engineering Sciences and Mathematics, Luleå University of Technology, Luleå SE 97187, Sweden
A1 Ulf Bodin
AD Department of Computer Science, Electrical and Space Engineering, Luleå University of Technology, Luleå SE 97187, Sweden

PB iet
T1 Reusable road condition information system for traffic safety and targeted maintenance
JN IET Intelligent Transport Systems
VO 11
IS 4
SP 230
OP 238
AB Driver awareness of current winter road conditions (RCs) is known to affect the frequency of accidents due to sudden changes in these conditions. For example, partially icy roads that appear during autumn in northern areas typically result in collisions and ditch runs unless the drivers are generally aware of the situation. Availing motorists who drive under winter RCs of enhanced information is therefore highly desirable to increase their awareness of hazardous driving conditions. Such conditions need to be predicted ahead of time and presented to drivers before they attempt slippery road sections. Moreover, the identification of slippery RCs should quickly trigger targeted road maintenance to reduce the risk of accidents. This study presents a scalable and reusable collaborative intelligent transport system, herein referred to as an RC information system (RCIS). RCIS provides accurate RC predictions and forecasts based on RC measurements, road weather observations, and short-term weather forecasts. The prediction methods in the context of the distributed RCIS have been tested using a prototype implementation. These tests confirmed that these inputs could be combined into useful and accurate information about winter RCs that can be adapted for different types of users.
K1 road weather observations
K1 RC measurements
K1 driver awareness
K1 targeted maintenance
K1 reusable collaborative intelligent transport system
K1 accidents frequency
K1 traffic safety
K1 distributed RCIS
K1 short-term weather forecasts
K1 slippery RC identification
K1 hazardous driving condition awareness
K1 slippery road sections
K1 reusable road condition information system
DO https://doi.org/10.1049/iet-its.2016.0122
UL https://digital-library.theiet.org/;jsessionid=2xjs7msvk9daj.x-iet-live-01content/journals/10.1049/iet-its.2016.0122
LA English
SN 1751-956X
YR 2017
OL EN