Results 51 to 60 of about 330 (179)

Real‐Time Traffic Conflict Prediction at Intersections: A Novel Approach Integrating Statistical Models and Machine Learning

Journal of Advanced Transportation, Volume 2025, Issue 1, 2025.
Real‐time traffic conflict prediction is crucial for developing proactive safety management strategies and improving overall traffic safety. However, existing studies have failed to fully consider the entire process of traffic conflict generation at both signalized and unsignalized intersections.
Chuanyun Fu, Jiaming Liu, Huahua Liu, Xiaoli Wang, Zhaoyou Lu, Jushang Ou, Wei Bai, Kun Wang   +7 more
wiley   +1 more source

An Optimal Scheduling Model for Connected Automated Vehicles at an Unsignalized Intersection

Algorithms
The application of connected automated vehicles (CAVs) provides new opportunities and challenges for optimizing and controlling urban intersections. To avoid collisions of vehicles in conflicting directions at intersections and improve the efficiency of ...
Wei Bai, Chengxin Fu, Bin Zhao, Gen Li, Zhihong Yao   +4 more
doaj   +1 more source

Symbiotic Evolution and Simulation of Motorized and Nonmotorized Vehicles at Right‐Turns

Journal of Advanced Transportation, Volume 2025, Issue 1, 2025.
This paper constructs a dynamic crossing model for motorized and nonmotorized vehicles at right‐turn intersections based on the Lotka–Volterra framework. The study explores equilibrium points and stability conditions within the symbiotic evolution model.
Zhixiu Liu, Yi Zeng, Yinwei Zhao, Jing Zhao   +3 more
wiley   +1 more source

Comparative analysis of pedestrian accidents risk at unsignalized intersections

The Baltic Journal of Road and Bridge Engineering, 2015
More than one accident of three that involve pedestrians in urban area occurs at road intersections. The users’ inproper behaviour, the geometrical characteristics of the intersections, and the high speeds of vehicles are the main causes of pedestrian accidents.
Sascia Canale, Natalia Distefano, Salvatore Leonardi   +2 more
openaire   +5 more sources

Interventions for Increasing Pedestrian Visibility to Prevent Injury and Death: A Systematic Review

Health &Social Care in the Community, Volume 2025, Issue 1, 2025.
Background Pedestrian visibility is a critical factor in reducing the number of pedestrian accidents on roads. A review of pedestrian visibility literature may reveal different types of interventions that are feasible for promoting pedestrian visibility.
Roghayeh Khabiri, Leila Jahangiry, Hosna Rashidi Birgani, Homayoun Sadeghi-bazargani, Mohammad Niroumand Sarvandani   +4 more
wiley   +1 more source

Review, Testing and Validation of Capacity and Delay Models at Unsignalized Intersections

Promet (Zagreb), 2007
This paper deals with problems related to the capacity anddelay models at unsignalized intersections. The parameters ofvarious models are calibrated based on the on-site data obtainedin the countries where the models were developed.
Dražen Cvitanić, Deana Breški, Boris Vidak   +2 more
doaj   +1 more source

MPC‐Bi‐LSTM based control strategy for connected and automated vehicles platoon oriented to cyberattacks

IET Intelligent Transport Systems, Volume 18, Issue 12, Page 2586-2600, December 2024.
This paper designs a communication topology anomaly response system (CTARS) to ensure platoon safety, which consists of a trigger module based on TTC indicators to distinguish abnormal vehicle behavior and a control module based on MPC‐Bi‐LSTM to deal with cyberattacks.
Liyou Li, Hang Yang, Rongjun Cheng
wiley   +1 more source

new methodological framework for within-day dynamic estimation of pollutant emissions in a large congested urban network

European Journal of Transport and Infrastructure Research, 2014
This paper presents a new methodological framework to address the problem of estimating pollutant emissions for large congested urban networks in a within-day dynamic context.
Stefano Gori, Simone La Spada, Livia Mannini, Marialisa Nigro   +3 more
doaj   +1 more source

Intersection decision making for autonomous vehicles based on improved PPO algorithm

IET Intelligent Transport Systems, Volume 18, Issue S1, Page 2921-2938, December 2024.
In this article, we improve the proximal policy optimisation (PPO) algorithm in deep reinforcement learning and propose an MSA‐PPO algorithm, which adopts the self‐attention mechanism for input data processing, effectively identifies and focuses on the most important information in the interaction between vehicles to improve the overall performance of ...
Dong Guo, Shoulin He, Shouwen Ji
wiley   +1 more source

Evaluation of automated driving safety in urban mixed traffic environments

IET Intelligent Transport Systems, Volume 18, Issue S1, Page 2963-2976, December 2024.
The research process consisted of four steps. Step 1: The driving behaviour of an MV following an AV was analysed via DS. Step 2: The driving behaviour of the MVs in each section was implemented by adjusting the parameters of the IDM, a microscopic vehicle following the model.
Sangjae Lee, Young Jo, Aram Jung, Juneyoung Park, Cheol Oh   +4 more
wiley   +1 more source