Feasibility of Using In-Vehicle Video Data to Explore How to Modify Driver Behavior That Causes Nonrecurring Congestion (2011) / Chapter Skim
Currently Skimming:
Pages 1-5
The Chapter Skim interface presents what we've algorithmically identified as the most significant single chunk of text within every page in the chapter.
Select key terms on the right to highlight them within pages of the chapter.
From page 1... ...
The original research goals, data reduction process, and data formats of these studies were examined by the research team. The video data were manually reviewed, and additional data reduction was conducted to identify contributing factors to crashes and near crashes using video data and supplementary data.
|
From page 2... ...
The second largest category was decision errors, counting 28% of the total. The largest and second largest contributing factor categories for near crashes were decision errors and recognition errors at 29% and 26%, respectively.
|
From page 3... ...
In the 100-Car Study, almost 40% of the crashes can or are likely to be prevented, and more than 80% of the near crashes can or are likely to be prevented given reasonable countermeasures. In the two truck studies, all the crashes, tire strikes, and near crashes are preventable using appropriate countermeasures.
|
From page 4... ...
In these cases, the data sets are limited because traffic conditions beside and behind the subject vehicles are not available. The video frequencies of these UMTRI studies were set relatively low because the original research purposes were not driver-behavior oriented.
|
From page 5... ...
A characterization of this behavior is critical in attempting to quantify and develop travel time reliability measures and to understand the causes of observed travel time reliability. The data may be augmented with tests on a driving simulator to study the impact of travel time reliability on driver route-choice behavior.
|
Key Terms
This material may be derived from roughly machine-read images, and so is provided only to facilitate research.
More
information on Chapter Skim is available.