Results 91 to 100 of about 1,168 (207)

Advanced Decision Making and Motion Planning Framework for Autonomous Navigation in Unsignalized Intersections

IEEE Access
Autonomous vehicle navigation relies heavily on integrating sensor data, perception, path planning, localization, and vehicle control. However, existing research often treats these components in isolation, particularly at unsignalized intersections ...
Gunasekaran Raja, Kathiroli Raja, Madhan Raj Kanagarathinam, Jeyadev Needhidevan, Priyadarshni Vasudevan   +4 more
doaj   +1 more source

Development of left-turn lane guidelines for signalized and unsignalized intersections. [PDF]

It is generally accepted that the level of service (LOS) at intersections significantly affects the overall LOS of the road system. It is also known that the LOS at an intersection can be adversely affected by frequently allowing left-turning vehicles to
Lakkundi, Vijayendra R, Virginia Transportation Research Council (VTRC), Virginia. Dept. of Transportation, United States. Federal Highway Administration   +3 more
core  

Analyzing Gap Acceptance Behavior at Unsignalized Intersections Using Support Vector Machines, Decision Tree and Random Forests

, 2017
Driver's gap acceptance behaviour highly influences the performance and safety of unsignalized intersections. At unsignalized intersections, crossing drivers have to accept or reject the available gap.
Pothuganti, Prasanna, Nagalla, Rakshita, Pawar, Digvijay S   +2 more
core   +1 more source

A Multi-Fusion Early Warning Method for Vehicle–Pedestrian Collision Risk at Unsignalized Intersections

World Electric Vehicle Journal
Traditional collision risk warning methods primarily focus on vehicle-to-vehicle collisions, neglecting conflicts between vehicles and vulnerable road users (VRUs) such as pedestrians, while the difficulty in predicting pedestrian trajectories further ...
Weijing Zhu, Junji Dai, Xiaoqin Zhou, Xu Gao, Rui Cheng, Bingheng Yang, Enchu Li, Qingmei Lü, Wenting Wang, Qiuyan Tan   +9 more
doaj   +1 more source

Distributed Cooperative Driving Strategy for Connected Automated Vehicles at Unsignalized Intersections Based on Monte Carlo Method

Journal of Advanced Transportation
One of the most important goals of cooperative driving is to control connected automated vehicles (CAVs) passing through conflict areas safely and efficiently without traffic signals.
Haoming Li, Wei Dong, Linjun Lu, Ying Wang, Xianing Wang   +4 more
doaj   +1 more source

Exploring Road User Interactions at Unsignalized Intersections: Vehicle-Pedestrian and Cyclist-Pedestrian Dynamics

Understanding interactions at unsignalized intersections is critical for improving road user safety, particularly for vulnerable road users like pedestrians.
Nassereddine, Hiba
core   +1 more source

A UWB/INS Trajectory Tracking System Application in a Cycling Safety Study. [PDF]

Sensors (Basel), 2023
Zhu S, Yue H, Suzuki T, Kim I, Yu L, Lan Q.   +5 more
europepmc   +1 more source

Investigation of major stream delays at unsignalized intersections

, 2018
The general acceptance of vehicle movements at unsignalized intersections is that vehicles in the major stream have absolute priority. However, under real traffic conditions this may not always be possible.
TANYEL, SERHAN, ÇALIŞKANELLİ, SÜHEYLA PELİN   +1 more
core   +1 more source

Predicting Injury Severity of Angle Crashes Involving Two Vehicles at Unsignalized Intersections Using Artificial Neural Networks

, 2019
In 2015, about 20% of the 52,231 fatal crashes that occurred in the United States occurred at unsignalized intersections. The economic cost of these fatalities have been estimated to be in the millions of dollars.
Gatiba, A., Arhin, S. A.
core   +1 more source

Predicting pedestrian-vehicle interaction severity at unsignalized intersections

Traffic Injury Prevention
This study aims to develop and validate a novel deep-learning model that predicts the severity of pedestrian-vehicle interactions at unsignalized intersections, distinctively integrating Transformer-based models with Multilayer Perceptrons (MLP). This approach leverages advanced feature analysis capabilities, offering a more direct and interpretable ...
Kaliprasana Muduli, Indrajit Ghosh
openaire   +2 more sources