Results 71 to 80 of about 292,949 (215)

A WSN‐Integrated Digital Twin Prototype Framework for Mitigating Urban Traffic Congestion and Vehicular Emissions

Journal of Sensors, Volume 2026, Issue 1, 2026.
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, Chandrasen Pandey, Sharmila A. J. Francis, Ashish Kr. Luhach, Diptendu Sinha Roy, Deepali   +5 more
wiley   +1 more source

Assessment of road network vulnerability using multilayer perceptron surrogates with automated closure propagation

Computer-Aided Civil and Infrastructure Engineering, Volume 40, Issue 28, Page 5325-5350, 28 November 2025.
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, Mohammad Zaher Serdar, Eyad Masad   +2 more
wiley   +1 more source

An adversarial diverse deep ensemble approach for surrogate‐based traffic signal optimization

Computer-Aided Civil and Infrastructure Engineering, Volume 40, Issue 5, Page 632-657, 17 February 2025.
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, Ruoheng Wang, Edward Chung, Weihua Gu, Hong Zhu   +4 more
wiley   +1 more source

Critical Speed Prediction at Unsignalized Intersection under Mixed Traffic Condition

, 2010
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, Prasetijo, Joewono, Molla Mohammad Ali, Ning Wu, Wu, Ning, Ali, Molla Mohammad   +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, Zhou, Junjie, Wang, Lin, Shen, Zhaokun   +3 more
core   +1 more source

Edge‐computing‐based operations for automated vehicles with different cooperation classes at stop‐controlled intersections

IET Intelligent Transport Systems, Volume 19, Issue 1, January/December 2025.
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, Handong Yao, Amir Ghiasi, Xiaopeng Li, Pavle Bujanović, Govindarajan Vadakpat, Taylor W. P. Lochrane   +6 more
wiley   +1 more source

Research of Stop Assistance Considering Visibility of Intersection

International Journal of Automotive Engineering, 2014
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, Hiroto Shirahige, Hong Seunghee, Jun’ichiro Hayashi, Keisuke Suzuki, Shun’ichi Doi   +5 more
doaj   +1 more source

Enhancing Intersection Safety at Uncontrolled Three‐Legged Intersections Through Assessment of Risk

IET Intelligent Transport Systems, Volume 19, Issue 1, January/December 2025.
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, Jiten Shah, Margaret C. Bell, Dilum Dissanayake   +3 more
wiley   +1 more source

Statistical models for estimation of unsignalized intersection capacity [PDF]

, 2022
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  

Trajectory Optimization for Automated Vehicles of Different Cooperation Classes Using Reinforcement Learning at a Signalized Intersection

IET Intelligent Transport Systems, Volume 19, Issue 1, January/December 2025.
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, Junqiang Leng, Xiaoyan Huo, Qinzhong Hou   +3 more
wiley   +1 more source