Results 21 to 30 of about 242 (208)
Reinforcement Learning-Based Autonomous Driving at Intersections in CARLA Simulator
Sensors, 2022 Intersections are considered one of the most complex scenarios in a self-driving framework due to the uncertainty in the behaviors of surrounding vehicles and the different types of scenarios that can be found.
Rodrigo Gutiérrez-Moreno +4 more
doaj +1 more source
CAPACITY ANALYSIS AT URBAN UNCONTROLLED INTERSECTIONS UNDER MIXED TRAFFIC CONDITIONS: A CASE STUDY IN WARANGAL CITY [PDF]
Scientific Journal of Silesian University of Technology. Series TransportThe performance of the road network depends on the capacity of the intersection in the area. Estimation of capacity becomes difficult under mixed traffic conditions where different types of vehicles share common space without following priority rule ...
Ramesh Babu KOTA +2 more
doaj +1 more source
Journal of Traffic and Transportation Engineering (English ed. Online), 2023 In order to ensure the safety of connected and automated vehicles (CAVs) threatened by cyberattack in the confluence area and mitigate the adverse impact of cyberattack propagation, a framework is built to depict the impact of cyberattacks on traffic ...
Qiuling Wang +3 more
doaj +1 more source
A Hybrid Control Design for Autonomous Vehicles at Uncontrolled Intersections
CoRR, 2019 As autonomous vehicles (AVs) inch closer to reality, a central requirement for acceptance will be earning the trust of humans in everyday driving situations. In particular, the interaction between AVs and pedestrians is of high importance, as every human is a pedestrian at some point of the day.
Nitin R. Kapania +3 more
openaire +2 more sources
Road Sign Detection Distance and Reading Distance at an Uncontrolled Intersection
E3S Web of Conferences, 2018 A traffic sign needs to be located at a distance that allows drivers to read and understand the message prior to their decision in manoeuvring. The study is aimed at evaluating signs visibility at intersections without traffic lights using the drivers ...
Priambodo Mohamad Ihsan +1 more
doaj +1 more source
PSEV-BF Methodology for Object Recognition of Birds in Uncontrolled Environments
Axioms, 2023 Computer vision methodologies using machine learning techniques usually consist of the following phases: pre-processing, segmentation, feature extraction, selection of relevant variables, classification, and evaluation.
Lucía J. Hernández-González +5 more
doaj +1 more source
PLoS Pathogens, 2023 The obligate intracellular Chlamydiaceae do not need to resist osmotic challenges and thus lost their cell wall in the course of evolution. Nevertheless, these pathogens maintain a rudimentary peptidoglycan machinery for cell division.
Jula Reuter +16 more
doaj +1 more source
Vision-Based System for Measuring the Diameter of Wood Logs
IEEE Open Journal of Instrumentation and Measurement, 2023 Detecting and measuring objects with vision-based systems in uncontrolled environments is a difficult task that today, thanks to the development of increasingly advanced artificial intelligence-based techniques, can be solved with greater ease.
Marco Carratu +5 more
doaj +1 more source
Impact of urban morphological changes on traffic performance of Jadriyah intersection
Cogent Engineering, 2020 The realization of the nexus between morphological changes and road intersection performances remains a challenge in urban studies. Despite the effort spent on minimizing the traffic associated problems (such as congestion and delay) in urban ...
Dhirgham Alobaydi +3 more
doaj +1 more source
Gap acceptance behavior of drivers at uncontrolled T-intersections under mixed traffic conditions
Journal of Modern Transportation, 2017 Explicit traffic control measures are absent in uncontrolled intersections which make them susceptible to frequent conflicts and resulting collisions between vehicles.
Manish Dutta, Mokaddes Ali Ahmed
doaj +1 more source