scholarly journals Analysis of California Condor (Gymnogyps californianus) use of six management units using location data from global positioning system transmitters, southern California, 2004-09-Initial report

2010 ◽  
Author(s):  
Matthew Johnson ◽  
Jeffrey Kern ◽  
Susan M. Haig
Keyword(s):  
Global Positioning System ◽  
Southern California ◽  
Positioning System ◽  
Management Units ◽  
Initial Report ◽  
Location Data ◽  
California Condor ◽  
Global Positioning ◽  
Gymnogyps Californianus

scholarly journals The Application of GPS (Global Positioning System) and SMS Gateway on Hepinar “Helm Pintar” Arduino Microcontroller Based as a Post-Accident Solution

INSIST ◽  
2019 ◽  
Vol 4 (1) ◽  
pp. 195
Author(s):  
Malikul Fanani ◽  
Kukuh Priambodo ◽  
Iklil Sulaiman ◽  
Sumardi Sumardi
Keyword(s):  
Global Positioning System ◽  
Traffic Accident ◽  
Prehospital Care ◽  
Positioning System ◽  
Location Data ◽  
Global Positioning ◽  
Accident Victim ◽  
Arduino Microcontroller ◽  
To Receive ◽  
Coordinate Data

In Indonesia, the number of death of accident is still pretty high with most of 70% the traffic accident is motorcycle driver who is late in getting aid and the head injury is the first order of all types of experiencing by the accident victim. Prehospital Care is an emergency service when the victim is firstly found, during the process of the transportation until the patient arrives at the hospital Thus, the purpose of this research is the application of GPS (Global Positioning System) and SMS gateway on the safety helmet in order to increase the aid post-accident. The application of GPS has an advantage to receive data from the satellite which next will be stored on arduino microcontroller. Microcontroller will retrieve the driver location data in the forms of latitude, longitude and time. Next, the driver location will be sent by microcontroller via SMS gateway service to the nearest hospital and the victim's family to make the evacuation process easy. This research is tested along the travel of Jember-Lumajang regency. The result of this research is the GPS application on the safety helmet can be applied well. The transmission of driver position coordinate data if the accident happened via sending media of SMS can be applied along with GSM signal from the provider so that the SMS sending works well.

scholarly journals Global positioning system resurvey of Southern California Seismic Network stations

1995 ◽  
Vol 85 (1) ◽  
pp. 361-374
Author(s):  
Jennifer S. Haase ◽  
Egill Hauksson ◽  
Hiroo Kanamori ◽  
Jim Mori
Keyword(s):  
Global Positioning System ◽  
Southern California ◽  
Seismic Station ◽  
Seismic Network ◽  
Positioning System ◽  
Dual Frequency ◽  
Time Data ◽  
Phase Measurements ◽  
Station Coordinates ◽  
Global Positioning

Abstract Systematic errors in travel-time data from local earthquakes can sometimes be traced to inaccuracies in the published seismic station coordinates. This prompted a resurvey of the stations of the Caltech/USGS Southern California Seismic Network (SCSN) using the Global Positioning System (GPS). We surveyed 241 stations of the SCSN using Trimble and Ashtech dual-frequency GPS receivers and calculated positions accurate to 3 m using differential positioning from carrier phase measurements. Twelve percent of the stations that were surveyed were found to be mislocated by more than 500 m. Stations of the TERRAscope and USC networks were also surveyed, as well as a network of portable seismic stations deployed shortly after the 1992 Joshua Tree and Landers earthquakes. The new coordinates and the offsets from the old coordinates are given below. The new coordinates are being used in SCSN locations as of 1 January 1994.

scholarly journals Quantification of the Accuracy of Low Priced GPS Receivers for Crash Location

2010 ◽  
Author(s):  
Thobias Sando ◽  
Renatus Mussa ◽  
John Sobanjo ◽  
Lisa Spainhour
Keyword(s):  
Global Positioning System ◽  
Time Of Day ◽  
Gps Data ◽  
Positioning System ◽  
Gps Receiver ◽  
Accuracy Improvement ◽  
Gps Receivers ◽  
Location Data ◽  
Global Positioning ◽  
Potential Tool

Global positioning system (GPS) has been identified as a potential tool for capturing crash location data. This study quantifies factors that could affect the accuracy of GPS receivers. The results showed that GPS receiver orientation, site obstructions, and weather have significant effects on the accuracy of GPS receivers. Time of day and number of satellites were not found to significantly affect the accuracy of GPS receivers. HDOP values of 1.2 or less were found to be adequate for crash location purposes. An accuracy improvement of 20.7% was realized by filtering GPS data based on HDOP values.

scholarly journals Vehicle location measurement method for radio-shadow area through iBeacon message

2018 ◽  
Vol 14 (11) ◽  
pp. 155014771881257
Author(s):  
ChoonSung Nam ◽  
Dong-Ryeol Shin
Keyword(s):  
Global Positioning System ◽  
Inertial Measurement Unit ◽  
Measurement Unit ◽  
Positioning System ◽  
Inertial Measurement ◽  
Location Data ◽  
Shadow Area ◽  
Global Positioning ◽  
Vehicle Location ◽  
Roadside Unit

Information communication technology related vehicle services need to support location and the transmission of communication and traffic information between vehicles, or between vehicles and infrastructure. In particular, the technology for the measurement of the accurate location of a vehicle is dependent on location-determination technology like Global Positioning System, and this technology is very important for vehicle driving and location services. If, however, a vehicle is in a Global Positioning System radio-shadow area, neither a Global Positioning System nor a Differential Global Positioning System can accurately measure the corresponding location because of a high error rate caused by the shadowing intervention. Even an Inertial Measurement Unit could provide inaccurate location data due to sensor drift faults around corners and traffic-road speed dumps. Vehicles, therefore, need an absolute location to prevent the provision of inaccurate vehicle-location data that is due to radio-shadow areas and relational Inertial Measurement Unit positions. To achieve this, we assume that vehicle-to-infrastructure communication is possible between a vehicle and roadside unit in Vehicular Ad hoc Networks. We used iBeacon at the roadside unit and revised its Universally Unique Identifier so that it generates absolute Global Positioning System location data; that is, moving vehicles can receive absolute Global Positioning System data from the roadside unit-based iBeacon. We compared the proposed method with current Global Positioning System and Inertial Measurement Unit systems for the following two cases: one with a radio-shadow area and one without. We proved that the proposed method generates location data that are more accurate than those of the other methods.

Using Global Positioning System Data to Understand Variations in Path Choice

2000 ◽  
Vol 1725 (1) ◽  
pp. 37-44 ◽  
Author(s):  
Oliver Jan ◽  
Alan J. Horowitz ◽  
Zhong-Ren Peng
Keyword(s):  
Global Positioning System ◽  
Traffic Assignment ◽  
Positioning System ◽  
Location Data ◽  
Global Positioning ◽  
System Data ◽  
Assignment Models ◽  
Street Segments ◽  
Path Deviation ◽  
Research Recommendations

A comprehensive set of Global Positioning System (GPS) vehicle location data from Lexington, Kentucky, households was analyzed to determine if such data can be helpful in improving path choice assumptions in traffic assignment models. The portion of the data used consisted primarily of a reconstruction of the street network and the lists of street segments in each path. Analysis was based on matches of trips (e.g., pairs of trips with similar origins and destinations). Matches were obtained for trips within households and for trips across households. Statistics used to compare trips in matches were a path deviation index and the percentage of identical links. It was found that the path chosen on a trip was quite sensitive to the location of the origin and destination and that the chosen path most often differed considerably from the shortest time path across the network. Paths for trips made by the same driver were very consistent over time; paths by different drivers showed more deviations even when the trip ends were the same or very similar. As a result of this research, recommendations are made as to how GPS data on path choice can be better collected in the future for improvement of traffic assignment models.

Research on the Relationships Between Population Flow Based on Global Positioning System Location Information from Mobile Phone Networks and Influenza Infection Pathways Based on the Number of Anti-Influenza Drug Prescriptions at Pharmacies: A Pilot Study (Preprint)

2020 ◽  
Author(s):  
Qiushi Chen ◽  
Michiko Tsubaki ◽  
Yasuhiro Minami ◽  
Kazutoshi Fujibayashi ◽  
Tetsuro Yumoto ◽  
...  
Keyword(s):  
Global Positioning System ◽  
Seasonal Influenza ◽  
Influenza Infection ◽  
Time Lag ◽  
Location Information ◽  
Positioning System ◽  
Location Data ◽  
Global Positioning ◽  
Infection Pathways ◽  
The Relationship

BACKGROUND Global seasonal influenza-associated respiratory excess mortality rates have been estimated at 4-8.8 per 100,000 individuals, and this is one of the major issues in public health. Designing efficient containment strategies for highly contagious diseases like influenza has been a subject of very considerable interest recently. Infectious disease epidemic tracking and forecasting have recently been attempted using data based on mobile phone global positioning system (GPS) location information. Tracking and forecasting local influenza spread may contribute to the control of influenza epidemics in an early stage. OBJECTIVE The objectives of this research were to analyze population flow using GPS location data based on the methods proposed by Iwata and Shimizu (2019), and to evaluate influenza infection pathways by determining the relationship between population flow and the number of drugs sold at pharmacies. METHODS Methods proposed by Iwata and Shimizu were applied for all 25 cells to estimate population flow. They proposed a neural collective graphical model (NCGM), which uses a neural network to incorporate the spatiotemporal dependency issue and reduce the estimated parameter. RESULTS The prescription peaks in cells 12 and 14, which had high population flows with cell 13, showed a high correlation with a delay of one to two days. The incubation period is one to four days (average two days) in seasonal influenza. One feature around cell 6 is the low number of prescriptions for anti-influenza drugs. The influenza infection may not have spread to cell 6 due to the low population flow from cells 12 and 13 with high prescriptions. Another feature is the observation of transmission of infection by a small number of influenza patients. In cells 5 and 6 where high population flows were suspected, there was a high cross-correlation value of prescription numbers with a seven-day time-lag. The time-lag is longer than the time-lag observed around cell 13 above. It was observed that not much population flows from cell 19 to the outside area on weekdays. This observation may have been due to geographical features and undeveloped transportation networks. The number of prescriptions for anti-influenza drugs in cell 19 remained low during the observation period. CONCLUSIONS This study conducted population flow estimation analyses during commuting times, based on region-specific GPS location data in four Prefectures in the Kansai region of Japan using methods proposed by Iwata and Shimizu. Furthermore, detailed comparative analyses of the relationship between estimated results of population flow and anti-influenza drug prescription data from pharmacies were conducted. It was found that influenza did not spread to areas with undeveloped traffic networks, and the peak number of drug prescriptions arrived with a time lag of several days in areas with a high amount of area-to-area movement due to commuting.

Sign in / Sign up

Export Citation Format

Share Document