Results 41 to 50 of about 330 (179)
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 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
The Japanese government aims to introduce self-driven vehicles by 2020 to reduce the number of accidents and traffic jams. Various methods have been proposed for traffic control at accident-prone intersections to achieve safe and efficient self-driving ...
Hayato Yajima, Kazumasa Takami
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
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
Enhancing Intersection Safety at Uncontrolled Three‐Legged Intersections Through Assessment of Risk
This study focuses on exploring the relationship between accepted gap and risk, as well as quantifying the level‐of‐risk and severity (LORS) to design effective safety measures for reducing accident severity at uncontrolled three‐legged intersections.
Khushbu Bhatt +3 more
wiley +1 more source
The most common type of intersection improvement considered in Ghana is signalization. However, other actions such as the installation of left-turn lanes have been proven to improve the efficiency and safety of an intersection without the need for ...
Eric Nyame-Baafi +2 more
doaj +1 more source
1) A trajectory optimization method based on RL was proposed. 2) The performance in C‐ADS‐equipped vehicles of different cooperation classes was investigated. 3) Allowing optimization of hyper parameters offered more robustness. 4) The intersection performance indicators were validated through simulation.
Mengzhu Zhang +3 more
wiley +1 more source
Signal‐free crosswalks are a high incidence area for pedestrian–autonomous vehicles (AV) conflicts, but there is no comprehensive and reasonable solution for AVs to safely and efficiently navigate through these conflict scenarios. To address this problem, this study proposes a responsibility‐sensitive safety (RSS) model specifically for pedestrian–AV ...
Chuanyun Fu +6 more
wiley +1 more source

