scholarly journals One-year Stay at Lawrence Berkeley National Laboratory

2019 ◽  
Vol 62 (9) ◽  
pp. 576-577
Author(s):  
Arifumi OKADA
Keyword(s):  
National Laboratory ◽  
Lawrence Berkeley National Laboratory ◽  
One Year

Real-Time Indicators of Vehicle Kilometers of Travel and Congestion: One Year of Experience

2000 ◽  
Vol 1719 (1) ◽  
pp. 209-214
Author(s):  
Ho-Ling Hwang ◽  
David L. Greene ◽  
Shih-Miao Chin ◽  
Angela A. Gibson
Keyword(s):  
Missing Data ◽  
National Laboratory ◽  
Experimental System ◽  
Automated System ◽  
The Internet ◽  
Seasonal Patterns ◽  
Traffic Data ◽  
Oak Ridge ◽  
Direct Measurements ◽  
One Year

Automated traffic data posted on the Internet by four cities have been continuously downloaded, processed, and archived for more than 1 year by an automated system developed by Oak Ridge National Laboratory and funded by the U.S. Bureau of Transportation Statistics. Although the experimental system is far from national in scale and scope, it has shown that automated collection and processing of local traffic data via the Internet for national purposes is feasible and practical. Strong seasonal patterns make it too early to estimate statistical models of traffic growth, but comparisons of the same months in 1998 and 1999 indicate changes ranging from 1 percent to 3 percent for the monitored systems. Direct measurements of delay on the monitored systems are lower than published estimates for previous years. Although some progress in the input of missing data has been made, missing data are still a major problem, and better methods are needed.

scholarly journals Lessons Learned from Occurrences Involving Procedures at Los Alamos National Laboratory in 1994

1995 ◽  
Vol 39 (15) ◽  
pp. 1033-1037 ◽  
Author(s):  
Candace K. Frostenson
Keyword(s):  
Human Factors ◽  
National Laboratory ◽  
Processing System ◽  
Lessons Learned ◽  
Department Of Energy ◽  
Near Miss ◽  
Alamos National Laboratory ◽  
Los Alamos ◽  
Los Alamos National Laboratory ◽  
One Year

This study used the Department of Energy (DOE) Occurrence Reporting and Processing System (ORPS) data to investigate occurrences reported during one year at Los Alamos National Laboratory (LANL). ORPS provides a centralized database and computerized support for the collection, distribution, updating, analysis, and validation of information in occurrence reports about abnormal events related to facility operation. Human factors causes for occurrences are not always defined in ORPS. Content analysis of narrative data revealed that 33% of all LANL 1994 adverse operational events have human factors causes related to procedures. Procedure-caused occurrences that resulted in injury to workers, damage to facilities or equipment, or a near-miss are analyzed.

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