Results 51 to 60 of about 910 (216)
Analysis the performance of unsignalized intersection based on gap acceptance studies [PDF]
The mam purposed of this study was to analysis the performance of unsignalized intersection based on gap acceptance study. Unsignalized intersection plays an important role in determining the capacity of road network especially in urban and suburban ...
Syafiqah, Mohamed Salleh
core
Statistical models for estimation of unsignalized intersection capacity [PDF]
V této práci uvažujeme pravděpodobnostní model neřízené křižovatky typu T a pracujeme s pojmy světlost a kritická světlost. Kritické světlosti jsou hlavním předmětem Teorie akceptování mezer, jež je základem pro analytické odvození řešící teoreticky ...
Eliška Pečenková
core
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
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
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

