Automated Reporting System Pilot Project in Los Angeles, 1990

1993 ◽  
Author(s):  
David Doan ◽  
Bronston T. Mayes
Dredging '02 ◽  
2003 ◽  
Author(s):  
Steve Cappellino ◽  
Carl Stivers ◽  
Larry Smith ◽  
Mohammed Chang ◽  
Jim Fields ◽  
...  

2003 ◽  
Vol 1855 (1) ◽  
pp. 143-150 ◽  
Author(s):  
Jerry Stephens ◽  
Jodi Carson ◽  
Dennis A. Hult ◽  
Dan Bisom

The Montana Department of Transportation (DOT) has completed a pilot project in which data from a statewide network of weigh-in-motion (WIM) sensors were used to assist in scheduling weight-enforcement activities of patrol personnel. The purpose of the project was to determine if one of the division’s objectives—reducing infrastructure damage from overweight vehicles—could be better realized by using WIM data when dispatching officers. Data for the project were obtained from Montana’s state truck activities reporting system (STARS), which consists of WIM sites deployed around the state to collect information for a spectrum of Montana DOT activities. In this case, the STARS data were processed to determine the pavement damage caused by overweight vehicles each month during the baseline year. The trends identified from this analysis were used in the subsequent year to direct patrol efforts each month to the five sites that historically had experienced the greatest pavement damage from overweight vehicles. Officers were directed to the specific vehicle configurations historically responsible for the damage, as well as to their direction of travel and time of operation. During this year of WIM-directed enforcement, pavement damage from overweight vehicles decreased by 4.8 million equivalent single-axle load miles, and the percentage of vehicles operating over weight decreased by 20% across all STARS sites (both enforced and unenforced). While changes in loading patterns were observed during the enforcement activities (fewer overweight and more weight-compliant vehicles), the effectiveness of the focused enforcement in producing long-term changes in loading behaviors was uncertain.


2002 ◽  
Vol 2002 (11) ◽  
pp. 806-815
Author(s):  
Robert J. Gallagher ◽  
Doug Sereno ◽  
Massoud Chadorchi ◽  
Jon Haskett ◽  
R. Tim Haug

Dredging '02 ◽  
2003 ◽  
Author(s):  
John R. Verduin, III ◽  
Jim Fields ◽  
Tom Wang ◽  
Greg Guannel ◽  
Margaret McCauley ◽  
...  

Author(s):  
Jasenka Rakas ◽  
Huifang Yin

Existing literature suggests that analyses of landing time intervals employ simple statistical models based on time-separation histograms, usually approximated by normal distributions. Although the literature focuses on important issues such as safety, capacity improvements, and separation rules, it does not take into account another important issue: the possible, unique behavior of airlines, pilots, and controllers. In this study such possible, unique behavior is taken into account and a statistical analysis on landing time intervals is performed to find the operational properties of Los Angeles International Airport (LAX), California. On the basis of the properties found, operations of a dominant airline at LAX are compared with those of other airlines by using the Performance Data Analysis and Reporting System (PDARS) database. The PDARS database allows the calculation of landing time intervals on a runway level. A new mathematical model is constructed to fit the probability distribution of landing time intervals, and it is found that the proposed model has the best maximum log likelihood estimations compared with those of existing models. The results also reveal that the behavior of the dominant airline differs from that of the other airlines. The proposed model better approximates the shape of the probability distribution, especially the left-hand side, which usually contains information of greater importance regarding airport operations and especially regarding safety, since all smaller landing time intervals and the landing intervals that fail the safety requirements are concentrated in this part of the probability distribution curve.


Author(s):  
Ronald N. Palacios ◽  
Steven S. Fan ◽  
Hansong Lee ◽  
Michael A. Soto

Anaerobic digestion of high-strength organic wastes, such as Fats, Oils, and Grease (FOG) has become increasingly popular among wastewater treatment facilities in Southern California [1]. In 2010, the City of Los Angeles’ Hyperion Treatment Plant started running its own FOG Digestion Pilot Project. The project injects processed grease trap wastewater (FOG) into one of 16 anaerobic digesters at the facility. A partnership was formed between the Hyperion Treatment Plant (HTP) and Baker Commodities, Inc., a Grease rendering company located in the City of Vernon. They provide processed grease trap wastewater (FOG) to the pilot project. The plan was to load the digester with increasing amounts of FOG and observe the impact. The parameters monitored in the digester during the test are volatile acids, pH, alkalinity, temperature, and gas production in the digester. The pilot project’s objective was to obtain a 10 to 20% increase in gas production. So far those expectations have been exceeded.


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