A limitation of most traditional methods of traffic data collection is that they rely on techniques that are strictly local in nature. Airborne sensors can provide sufficient resolution to sense vehicle locations and movements across broader spatial and temporal scales. Based on two recent "proof-of-concept" experiments, this paper describes the logistics involved in collecting and analyzing aerial video data, a general method for analysis of traffic data, specific methods for travel time and delay estimation, and an algorithm for automated vehicle tracking. Digital video, global positioning systems (GPS), and automated image processing are used to improve the accuracy and cost-effectiveness of the data collection and reduction
This paper presents a new approach to simultaneous detection and tracking of vehicles moving through...
Thesis (Master's)--University of Washington, 2016-06Unmanned aerial vehicles (UAVs) are gaining popu...
Abstract. To gain more insight into the behavior of drivers during congestion, and to develop and te...
Abstract—A limitation of most traditional methods of traffic data collection is that they rely on te...
The classical means to measure traffic density and velocity depend on local measurements from induct...
Traffic monitoring requires mobile and flexible systems that are able to extract densely sampled spa...
Techniques for incorporating airborne video into a multimedia GIS for traffic flow visualization are...
31917972Final report.July 1993April 1994.PDFTech Reporthttp://ntl.bts.gov/lib/jpodocs/repts_te/9511....
Traffic monitoring with wide angle serial images from digital cameras on airborne platforms is a ver...
In order to obtain precise knowledge about the traffic flow of a larger area, only airborne cameras ...
This paper presents a methodology aimed to acquire traffic flow data through the employment of unman...
This paper presents a methodology aimed to acquire traffic flow data through the employment of unman...
This paper presents a methodology aimed to acquire traffic flow data through the employment of unman...
US Transportation Collection2020PDFDatasetSarasua, Wayne A.Zhao, XiDavis, William J.Clemson Universi...
The use of remotely data sensed for traffic management is not optimal due to constraints spatial res...
This paper presents a new approach to simultaneous detection and tracking of vehicles moving through...
Thesis (Master's)--University of Washington, 2016-06Unmanned aerial vehicles (UAVs) are gaining popu...
Abstract. To gain more insight into the behavior of drivers during congestion, and to develop and te...
Abstract—A limitation of most traditional methods of traffic data collection is that they rely on te...
The classical means to measure traffic density and velocity depend on local measurements from induct...
Traffic monitoring requires mobile and flexible systems that are able to extract densely sampled spa...
Techniques for incorporating airborne video into a multimedia GIS for traffic flow visualization are...
31917972Final report.July 1993April 1994.PDFTech Reporthttp://ntl.bts.gov/lib/jpodocs/repts_te/9511....
Traffic monitoring with wide angle serial images from digital cameras on airborne platforms is a ver...
In order to obtain precise knowledge about the traffic flow of a larger area, only airborne cameras ...
This paper presents a methodology aimed to acquire traffic flow data through the employment of unman...
This paper presents a methodology aimed to acquire traffic flow data through the employment of unman...
This paper presents a methodology aimed to acquire traffic flow data through the employment of unman...
US Transportation Collection2020PDFDatasetSarasua, Wayne A.Zhao, XiDavis, William J.Clemson Universi...
The use of remotely data sensed for traffic management is not optimal due to constraints spatial res...
This paper presents a new approach to simultaneous detection and tracking of vehicles moving through...
Thesis (Master's)--University of Washington, 2016-06Unmanned aerial vehicles (UAVs) are gaining popu...
Abstract. To gain more insight into the behavior of drivers during congestion, and to develop and te...