Results 111 to 120 of about 711,577 (252)

Examining traffic crash injury severity at unsignalized intersections

open access: yesJournal of Safety Research, 2010
This study presents multiple approaches to the analysis of crash injury severity at three- and four-legged unsignalized intersections in the state of Florida from 2003 until 2006. An extensive data collection process was conducted for this study.The dataset used in the analysis included 2,043 unsignalized intersections in six counties in the state of ...
Department of Civil, Environmental   +3 more
openaire   +3 more sources

Analysis of Unsignalized Intersection Performance on Jl. Dr Sutomo, Baturaja City [PDF]

open access: yes
An unsignalized intersection is the meeting point of several road approaches without traffic signal control. The vehicle control mechanism is implemented through traffic signs and priority rules. Problems arise when traffic volume increases.
Bahri, Samsul   +4 more
core  

Safety Countermeasures at Unsignalized Intersections – A Toolbox Approach

open access: yes, 2020
In 2015, approximately 8,000 intersection and intersection-related fatal crashes occurred on the nation’s highway system, resulting in more than 8,400 fatalities.
Gibbons, Ronald B.   +2 more
core  

Vehicle scheduling optimization at unsignalized intersection based on Petri net and improved black-winged kite algorithm

open access: yesNantong Daxue xuebao. Ziran kexue ban
To meet the demand for efficient vehicle passage at unsignalized intersections in intelligent connected environments, this study proposes a new vehicle scheduling optimization method for unsignalized intersections based on a Petri net model, a deadlock ...
CAO Meng; ZHANG Funa; JIANG Xinyu; HUANG Cheng; LIU Huixia; ZHANG Sihan; SUN Wenqiang
doaj   +1 more source

How pedestrians actually jaywalk: fine-grained adaptive strategies revealed by roadside LiDAR

open access: yesTransportation Research Interdisciplinary Perspectives
Jaywalking is widely studied as a compliance problem, yet what actually happens during the jaywalking process remains understudied. This study deploys roadside LiDAR at two urban intersections in Munich, Germany to decompose jaywalking into discrete ...
Jiaying Xue   +4 more
doaj   +1 more source

A cooperative control method for connected and automated vehicles at unsignalized intersection based on Monte-Carlo tree search

open access: yesJournal of Traffic and Transportation Engineering (English ed. Online)
Enhancing the efficiency of traditional traffic light-based intersection control in intricate and dynamic traffic scenarios proves challenging due to vehicular queuing and frequent starts and stops. Addressing this challenge, a cooperative control method
Keke Yang   +3 more
doaj   +1 more source

Study of traffic flow at an unsignalized T-shaped intersection by cellular automata model

open access: yes, 2005
In this paper, the traffic flow at an unsignalized T-shaped intersection in which there are three input directions of vehicles and two right-turnings and one left-turning has been investigated by using the cellular automata traffic model.
R. Jiang, Q.-S. Wu, X.-B. Li, M.-B. Hu
core   +1 more source

Advanced Decision Making and Motion Planning Framework for Autonomous Navigation in Unsignalized Intersections

open access: yesIEEE Access
Autonomous vehicle navigation relies heavily on integrating sensor data, perception, path planning, localization, and vehicle control. However, existing research often treats these components in isolation, particularly at unsignalized intersections ...
Gunasekaran Raja   +4 more
doaj   +1 more source

Traffic Simulation: Modelling Autonomous and Normal Vehicles in Unsignalized Network

open access: yes, 2018
 Korawich Kavee, a participant in the Taste of Research Summer Scholarship Program at the University of New South Wales, conducted a study on the impact of autonomous vehicles (AVs) on traffic flow in unsignalized intersection networks.
Korawich Kavee (9172292)
core   +1 more source

Analyzing angle crashes at unsignalized intersections using machine learning techniques

open access: yes, 2011
A recently developed machine learning technique, multivariate adaptive regression splines (MARS), is introduced in this study to predict vehicles\u27 angle crashes. MARS has a promising prediction power, and does not suffer from interpretation complexity.

core   +1 more source

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