Results 41 to 50 of about 384 (180)
With the acceleration of urbanization and rapid growth of vehicle ownership, traffic congestion has become a critical bottleneck constraining sustainable urban development. Traditional traffic signal control methods struggle to adapt to the complex traffic environment where connected and automated vehicles (CAVs) coexist with conventional vehicles ...
Yizhe Wang +5 more
wiley +1 more source
Research on Collision Risk Warning Methods for Vulnerable Road Users at Unsignalized Intersections
Unsignalized intersections pose high collision risks between motor vehicles and vulnerable road users (VRUs). To enhance safety, this study proposes a collision warning method integrating trajectory prediction and dynamic risk assessment. UAV aerial footage was processed using YOLOv7‐DeepSort for multiobject detection and tracking, constructing a high ...
Rui Cheng +7 more
wiley +1 more source
Unsignalized intersections, which are locations, with high potential traffic congestion, are the largest number of intersections in large cities in developing country such as Indonesia.
Anastasia Caroline Sutandi +1 more
doaj +1 more source
Accuracy of critical gap estimates
The critical gap is an important parameter in capacity models of unsignalized intersections. Although there are many methods for critical gap estimation, there is currently no approach or method available to determine how precise a calculated estimate is,
Samuel Rosa, Andrea Kocianova
doaj +1 more source
With the rapid development of artificial intelligence, in the open communication environment, interference and network attacks on intelligent terminals are more frequent. Therefore, communication security and system security issues in the intelligent platoons become hot topics. Motivated by these, the concept of zero trust was proposed.
Yuhong Na +6 more
wiley +1 more source
Analysis of Delay at an Un-Controlled Intersection under Heterogeneous Traffic Condition
The non-lane disciplined traffic condition and variations in vehicle composition leads to the complex traffic behavior, resulting in to significant vehicular delays at uncontrolled intersections, especially with the rapid increase in the number of ...
R. SUSHMITHA RAMIREDDY +2 more
doaj +1 more source
This study presents a simulation‐driven digital twin (DT) prototype framework, designed around a wireless sensor network (WSN) style pipeline, to study congestion and vehicular emissions at an urban signalized junction. The architecture follows a sensing‐to‐edge workflow: detector‐like traffic measurements (counts and speeds) are published through an ...
Timothy Dkhar +5 more
wiley +1 more source
Annually, side impact crashes contribute to a significant proportion of road fatalities. These crashes typically occur as a result of traffic violations at intersections. This study contributes to efforts in addressing side impact crashes at unsignalized
Emmanuel Kofi Adanu +3 more
doaj +1 more source
Abstract Road networks face increasing disruptions, yet vulnerability assessment methods either oversimplify traffic dynamics or require extensive computational simulations. This research introduces a novel approach integrating traffic simulation, graph theory, and machine learning for efficient and accurate vulnerability assessment.
Abdel Rahman Marian +2 more
wiley +1 more source
An adversarial diverse deep ensemble approach for surrogate‐based traffic signal optimization
Abstract Surrogate‐based traffic signal optimization (TSO) is a computationally efficient alternative to simulation‐based TSO. By replacing the simulation‐based objective function, a surrogate model can quickly identify solutions by searching for extreme points on its response surface. As a popular surrogate model, the ensemble of multiple diverse deep
Zhixian Tang +4 more
wiley +1 more source

