Results 81 to 90 of about 711,577 (252)
Intersections have attracted wide attention owing to their complexity and high rate of traffic accidents. In the process of developing L3-and-above autonomous-driving techniques, it is necessary to solve problems in autonomous driving decisions and ...
Yonggang Liu +5 more
semanticscholar +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
STUDY OF TRAFFIC SAFETY EVALUATION AND IMPROVEMENTS AT UNSIGNALIZED INTERSECTIONS
Highway traffic safety is an important area in transportation engineering. Highway intersections are nodes of road networks and accident-prone locations.
Hameed Aswad Mohammed
doaj
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
Vehicle Pedestrian Interaction Analysis at Unsignalized Intersection using Trajectory Data
As the pedestrian’s rapid progress, pedestrian safety has recently assumed greater importance in the research population activities. To assess road user interactions at an unsignalized junctions with heterogeneous traffic complexity, innovative ...
Karunakar Reddy Muppa +2 more
semanticscholar +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
Critical Speed Prediction at Unsignalized Intersection under Mixed Traffic Condition
The new method of capacity analysis at unsignalized intersections was developed in the authors\u27 study for mixed traffic condition in developing countries (e.q.
Joewono Prasetijo +5 more
core +1 more source
Unsignalized Intersection Management Strategy for Mixed Autonomy Traffic Streams [PDF]
With the rapid development of connected and automated vehicles (CAVs) and intelligent transportation infrastructure, CAVs, connected human-driven vehicles (CHVs), and un-connected human-driven vehicles (HVs) will coexist on the roads in the future for a ...
Wang, Xiaofan +3 more
core +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

