Add to ORKGA fundamental study has been conducted to realize an Advanced Cruise-Assist Highway System (AHS) service to detect near misses. The system would detect near miss behaviors from vehicle behavior data in order to monitor hazardous phenomena from a broad linear/planar perspective. A previous study discussed prospects for detecting near misses from data items that can be collected using car navigation systems. The current report presents an overview of experiments conducted to collect vehicle behavior data under diverse conditions
<p>Collisions at intersections are common and their consequences are often severe. This paper addres...
This paper presents a preliminary exploration of approaches to using experimental data for estimatin...
Vehicles that collect data from a traffic stream of which they are part (i.e. probe vehicles) have b...
Transportation agencies are responsible for analyzing crash data to identify hot spots - locations t...
On the road, near collision events (also close calls or near-miss incidents) largely outnumber actua...
Based on incident characteristics and quality of loop data and floating car data, a new incident det...
Joining a long standing tradition in the field of industrial accident prevention, traffic accident r...
University Transportation Centers Program2018PDFTech ReportWang, YinhaiKe, RuiminZhang, WeibinZeng, ...
12403892Final Report; Jan 1984 - June 1984PDFTech ReportDOT-HS-806-744DOT-TSC-NHTSA-85-1Intelligent ...
Bus-to-pedestrian near-miss data are important surrogate safety data for further pedestrian-related ...
Although computer vision-based methods have seen broad utilisation in evaluating traffic situations,...
The driving domain is inherently dangerous. To develop connected and automated vehicles that can det...
This study proposes a novel highway traffic surveillance system that is capable of detecting hazardo...
Joining a long standing tradition in the field of industrial accident prevention, traffic accident r...
The report quantitatively addresses conspicuity of highway features, particularly in work zones, fro...
<p>Collisions at intersections are common and their consequences are often severe. This paper addres...
This paper presents a preliminary exploration of approaches to using experimental data for estimatin...
Vehicles that collect data from a traffic stream of which they are part (i.e. probe vehicles) have b...
Transportation agencies are responsible for analyzing crash data to identify hot spots - locations t...
On the road, near collision events (also close calls or near-miss incidents) largely outnumber actua...
Based on incident characteristics and quality of loop data and floating car data, a new incident det...
Joining a long standing tradition in the field of industrial accident prevention, traffic accident r...
University Transportation Centers Program2018PDFTech ReportWang, YinhaiKe, RuiminZhang, WeibinZeng, ...
12403892Final Report; Jan 1984 - June 1984PDFTech ReportDOT-HS-806-744DOT-TSC-NHTSA-85-1Intelligent ...
Bus-to-pedestrian near-miss data are important surrogate safety data for further pedestrian-related ...
Although computer vision-based methods have seen broad utilisation in evaluating traffic situations,...
The driving domain is inherently dangerous. To develop connected and automated vehicles that can det...
This study proposes a novel highway traffic surveillance system that is capable of detecting hazardo...
Joining a long standing tradition in the field of industrial accident prevention, traffic accident r...
The report quantitatively addresses conspicuity of highway features, particularly in work zones, fro...
<p>Collisions at intersections are common and their consequences are often severe. This paper addres...
This paper presents a preliminary exploration of approaches to using experimental data for estimatin...
Vehicles that collect data from a traffic stream of which they are part (i.e. probe vehicles) have b...