Potential connected vehicle applications to enhance mobility, safety, and environmental security.

X Zeng, K Balke, P Songchitruksa - 2012 - rosap.ntl.bts.gov
The connected vehicle research initiative is the core of the US Department of
Transportation's intelligent transportation system research program. The initiative is …

Driver behavior classification at intersections and validation on large naturalistic data set

GS Aoude, VR Desaraju, LH Stephens… - IEEE Transactions on …, 2012 - ieeexplore.ieee.org
The ability to classify driver behavior lays the foundation for more advanced driver
assistance systems. In particular, improving safety at intersections has been identified as a …

Red-light running violation prediction using observational and simulator data

A Jahangiri, H Rakha, TA Dingus - Accident Analysis & Prevention, 2016 - Elsevier
Abstract In the United States, 683 people were killed and an estimated 133,000 were injured
in crashes due to running red lights in 2012. To help prevent/mitigate crashes caused by …

Behavior classification algorithms at intersections and validation using naturalistic data

GS Aoude, VR Desaraju, LH Stephens… - 2011 ieee intelligent …, 2011 - ieeexplore.ieee.org
The ability to classify driver behavior lays the foundation for more advanced driver
assistance systems. Improving safety at intersections has also been identified as high …

Adopting machine learning methods to predict red-light running violations

A Jahangiri, HA Rakha… - 2015 IEEE 18th …, 2015 - ieeexplore.ieee.org
Statistics demonstrate that a large number of crashes occur at signalized intersections due
to traffic violations, specifically red light running (RLR). In order to prevent/mitigate …

A framework for turning behavior classification at intersections using 3D LIDAR

M Zhang, R Fu, DD Morris… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Turning behavior classification of oncoming vehicles is a critical step toward high-level
scene understanding and motion planning tasks for autonomous vehicles. In this paper, we …

A fixed sensor-based intersection collision warning system in vulnerable line-of-sight and/or traffic-violation-prone environment

JA Jang, K Choi, H Cho - IEEE Transactions on Intelligent …, 2012 - ieeexplore.ieee.org
This paper proposes a cooperative intersection collision warning system (CICWS) model
that uses fixed traffic sensors to provide warning information to drivers at unsignalized …

Predicting crash-relevant violations at stop sign–controlled intersections for the development of an intersection driver assistance system

JM Scanlon, R Sherony, HC Gabler - Traffic injury prevention, 2016 - Taylor & Francis
Objective: Intersection crashes resulted in over 5,000 fatalities in the United States in 2014.
Intersection Advanced Driver Assistance Systems (I-ADAS) are active safety systems that …

A lane level positioning-based cooperative vehicle conflict resolution algorithm for unsignalized intersection collisions

J Liu, B Cai, Y Wang, J Wang - Computers & Electrical Engineering, 2013 - Elsevier
We consider the problem of vehicle operation safety at unsignalized intersections. The
scheme of cooperative vehicle infrastructure system provides a promising solution to safety …

Evaluating the Potential of an Intersection Driver Assistance System to Prevent US Intersection Crashes

JM Scanlon - 2017 - vtechworks.lib.vt.edu
Intersection crashes are among the most frequent and lethal crash modes in the United
States. Intersection Advanced Driver Assistance Systems (I-ADAS) are an emerging active …