Guidance-oriented advanced curve speed warning system in a connected vehicle environment
Connected Vehicles (CV) technology has been used to address safety issues on highway
horizontal curves. Existing curve warning systems are either using curve warning signs or …
horizontal curves. Existing curve warning systems are either using curve warning signs or …
ROCA–An ArcGIS toolbox for road alignment identification and horizontal curve radii computation
We present the ROCA (ROad Curvature Analyst) software, in the form of an ESRI ArcGIS
Toolbox, intended for vector line data processing. The software segments road network data …
Toolbox, intended for vector line data processing. The software segments road network data …
Effectiveness of connected-vehicle-based curve speed warning systems with considerations of heads-up display language type's effects on driver behavior
Abstract Treatments regarding Curve Warning Systems (CWS) were proposed to assist
drivers with safer performances driving through horizontal curves. These treatments include …
drivers with safer performances driving through horizontal curves. These treatments include …
Modeling crash risk of horizontal curves using large-scale auto-extracted roadway geometry data
Highway horizontal curves (H-curves) provide a smooth transition between two tangent
sections of roadways. They allow vehicles to adjust their travel directions gradually …
sections of roadways. They allow vehicles to adjust their travel directions gradually …
Hybrid segmentation approach to identify crash susceptible locations in large road networks
SR Nair, BK Bhavathrathan - Safety science, 2022 - Elsevier
To perform crash analysis on large road networks, the network has to be segmented into
smaller units. Existing approaches split road networks into road segments such that they …
smaller units. Existing approaches split road networks into road segments such that they …
Improving the self-explaining performance of Czech national roads
J Ambros, V Valentová, O Gogolín… - Transportation …, 2017 - journals.sagepub.com
Improving the road network according to the principles of self-explaining roads is a
promising way to increase the level of safety; however, there are no universal guidelines on …
promising way to increase the level of safety; however, there are no universal guidelines on …
Self-tuning look-ahead distance of pure-pursuit path-following control for autonomous vehicles using an automated curve information extraction method
AEB Ibrahim - … Journal of Intelligent Transportation Systems Research, 2022 - Springer
Autonomous driving vehicles have recently gained a lot of attention and are still a work in
progress. The goal of this research is to improve the behavior of the autonomous vehicle for …
progress. The goal of this research is to improve the behavior of the autonomous vehicle for …
Development of a large-scale horizontal curve inventory for safety analysis using open GIS data
Horizontal curves are crucial for the safety and mobility of roadways. To enhance the
understanding of these curves, transportation agencies are investigating methods to …
understanding of these curves, transportation agencies are investigating methods to …
Development of decision support tool for clustering urban regional risk based on R-ArcGIS Bridge
M Zhao, X Liu, Z Sun - Applied Soft Computing, 2021 - Elsevier
Cities with dense population are susceptible and vulnerable to natural disasters and man-
made accidents, making regional risk analysis thus significant for urban public safety …
made accidents, making regional risk analysis thus significant for urban public safety …
[HTML][HTML] Development of Motorway Horizontal Alignment Databases for Accurate Accident Prediction Models
The safe and efficient operation of highways minimizes the environmental impact, reduces
accidents, and promotes the reliability of the transportation infrastructure, all in support of …
accidents, and promotes the reliability of the transportation infrastructure, all in support of …