[HTML][HTML] A novel interval rough model for optimizing road network performance and safety
This paper introduces a novel Integrated Interval Rough Pivot Pairwise Relative Criteria
Importance Assessment (IRN PIPRECIA) model combined with Interval Rough Combined …
Importance Assessment (IRN PIPRECIA) model combined with Interval Rough Combined …
An Intelligent Fuzzy MCDM Model Based on D and Z Numbers for Paver Selection: IMF D-SWARA—Fuzzy ARAS-Z Model
One of the most important challenges when building road infrastructure is the selection of
appropriate mechanization, on which the efficiency of construction and the life of exploitation …
appropriate mechanization, on which the efficiency of construction and the life of exploitation …
Distributed model reference adaptive control based on cooperative observer with optimal control modification for synchronization of heterogeneous vehicle platoon
A Prayitno, V Indrawati… - … of Engineering Problems, 2022 - repository.ubaya.ac.id
Many distributed controllers for vehicle platoon are designed based on homogeneous
assumption and full state information. In reality, vehicle platoon may consist of …
assumption and full state information. In reality, vehicle platoon may consist of …
Proportional feature pyramid network based on weight fusion for lane detection
J Hui, G Lian, J Wu, S Ge, J Yang - PeerJ Computer Science, 2024 - peerj.com
Lane detection under extreme conditions presents a highly challenging task that requires
capturing each crucial pixel to predict the complex topology of lane lines and differentiate …
capturing each crucial pixel to predict the complex topology of lane lines and differentiate …
Risk based tunnel design by vehicle involved in road crashes. Models and tunnel length
A Pireddu, M Lombardi, S Bruzzone… - International journal of …, 2023 - iris.uniroma1.it
Between 2018 and 2020, in the approximately 2,600 km of Italian road tunnels, 2,899
people were injured and 60 died in 1,885 road accidents. The accident frequency was lower …
people were injured and 60 died in 1,885 road accidents. The accident frequency was lower …
Road rage recognition model for truck drivers based on K-means clustering and random forest algorithm.
Y Xiao, Y Liu, ZJ Liang - Advances in transportation studies, 2023 - search.ebscohost.com
Road rage during driving have an essential impact on driving safety. With the aim of
effectively identifying road rage in truck drivers, a driver anger scale (DAS) for truck drivers is …
effectively identifying road rage in truck drivers, a driver anger scale (DAS) for truck drivers is …