Results 51 to 60 of about 335 (178)
Exploring Research Trends in Mixed Traffic Flow Simulation by Bibliometric Analysis
Mixed traffic flows have been explored by scientists for decades, but this research and related review articles are mainly limited to a certain topic or field, and there are relatively few systematic review studies on mixed traffic flow using bibliometric methods.
Zitao Du +5 more
wiley +1 more source
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
Accident risk management strategy at un-signalized intersection
The increasing of traffic sign and/or light violations is a commonly views in many countries. Even it was occurred intentionally which indicates that drivers accept its possible consequences. The constant fatality index of motorcyclist strongly indicates
da Costa Don Gaspar Noesaku +2 more
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
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
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
Research of Stop Assistance Considering Visibility of Intersection
Crossing collisions caused by cognitive error often occur at unsignalized intersections. For the countermeasure, driver assistant systems that warn a driver against stop sign violation are researched and commercialized.
Tokihiko Akita +5 more
doaj +1 more source
This article proposes an edge‐computing‐based CAV operation at a stop‐controlled intersection. It investigates different cooperation classes at a stop‐controlled intersection. The numerical experiments show that mobility and energy efficiency are improved as the cooperation class increases. Computational time is much reduced with the proposed framework.
Saeid Soleimaniamiri +6 more
wiley +1 more source

