Analysis of Global Positioning System-Based Data Collection Methods for Capturing Multistop Trip-Chaining Behavior

1999 ◽  
Vol 1660 (1) ◽  
pp. 58-65 ◽  
Author(s):  
Lalit Yalamanchili ◽  
Ram M. Pendyala ◽  
N. Prabaharan ◽  
Pramodh Chakravarthy
Keyword(s):  
Data Collection ◽  
Global Positioning System ◽  
Positioning System ◽  
Data Collection Methods ◽  
Trip Chaining ◽  
Global Positioning ◽  
Collection Methods

Practical applications for global positioning system data from solid waste collection vehicles

2007 ◽  
Vol 34 (5) ◽  
pp. 678-681 ◽  
Author(s):  
Bruce G Wilson ◽  
Betsy J Agar ◽  
Brian W Baetz ◽  
Anne Winning
Keyword(s):  
Data Collection ◽  
Municipal Solid Waste ◽  
Solid Waste ◽  
Global Positioning System ◽  
Positioning System ◽  
Waste Collection ◽  
Solid Waste Collection ◽  
Data Collection Methods ◽  
Global Positioning ◽  
Collection Methods

Studies of municipal solid waste collection systems have traditionally relied upon information collected from time and motion studies or truck logs. This type of data collection has been expensive, the volume of data collected has been small, and the reliability of the data has been suspect. A recent project in Hamilton, Ontario, monitored five municipal solid waste collection vehicles using a global positioning system (GPS) as an alternative to traditional data collection methods. The study found that the GPS data are reliable, accurate, and suitable for a range of solid waste planning purposes. Data collection was automatic and relatively inexpensive. Analysis of the data identified significant differences in the performance of the vehicles on different routes. Data collection using GPS is an improvement over traditional data collection methods, but the large volume of data generated will provide challenges for waste managers. Key words: data collection, global positioning system, municipal solid waste, refuse collection, automatic vehicle location.

The Distribution of Hospitality Services in Uyo Urban, Nigeria

2018 ◽  
pp. 137-150
Author(s):  
Violet Bassey Eneyo
Keyword(s):  
Data Collection ◽  
Global Positioning System ◽  
Central Area ◽  
Positioning System ◽  
Nearest Neighbour ◽  
Global Positioning ◽  
Neighbour Analysis

This paper examines the distribution of hospitality services in Uyo Urban, Nigeria. GIS method was the primary tool used for data collection. A global positioning system (GPS) Garmin 60 model was used in tracking the location of 102 hospitality services in the study area. One hypothesis was stated and tested using the nearest neighbour analysis. The finding shows evidence of clustering of the various hospitality services. The tested hypothesis further indicated that hospitality services clustered in areas that guarantee a sustainable level of patronage to maximize profit. Thus, the hospitality services clustered in selected streets in the metropolis while limited numbers were found outside the city’s central area.

Evaluation of CORSIM Car-Following Model by Using Global Positioning System Field Data

2000 ◽  
Vol 1710 (1) ◽  
pp. 114-121 ◽  
Author(s):  
Sastry Chundury ◽  
Brian Wolshon
Keyword(s):  
Data Collection ◽  
Global Positioning System ◽  
Field Data ◽  
Goodness Of Fit ◽  
Positioning System ◽  
Goodness Of Fit Test ◽  
Distance Information ◽  
Car Following ◽  
Wide Range ◽  
Global Positioning

It has been recognized that CORSIM (and its constituent program, NETSIM) is one of the most widely used and effective computer programs for the simulation of traffic behavior on urban transportation networks. Its popularity is due in large part to the high level of detail incorporated into its modeling routines. However, the car-following models, used for the simulation of driver behavior in the program, have not been formally calibrated or validated. Since the model has performed well in a wide range of applications for so many years, it has always been assumed to have an implied validity. This study evaluated the NETSIM car-following models by comparing their results with field data. Car-following field data were collected using a new data collection system that incorporates new Global Positioning System and geographic information system technologies to improve the accuracy, ease, speed, and cost-effectiveness of car-following data collection activities. First, vehicle position and speed characteristics were collected under field conditions. Then simulated speeds and distances were based on identical lead vehicle actions using NETSIM car-following equations. Comparisons of simulated and field data were completed using both graphical and statistical methods. Although some differences were evident in the graphical comparisons, the graphs overall indicated a reasonable match between the field and simulated vehicle movements. Three statistical tests, including a goodness-of-fit test, appear to support these subjective conclusions. However, it was also found that definitive statistical conclusions were difficult to draw since no single test was able to compare the sets of speed and distance information on a truly impartial basis.

Accuracy Issues with Route Choice Data Collection by Using Global Positioning System

1999 ◽  
Vol 1660 (1) ◽  
pp. 66-74 ◽  
Author(s):  
Jean Wolf ◽  
Shauna Hallmark ◽  
Marcelo Oliveira ◽  
Randall Guensler ◽  
Wayne Sarasua
Keyword(s):  
Data Collection ◽  
Global Positioning System ◽  
Route Choice ◽  
Positioning System ◽  
Choice Data ◽  
Global Positioning

Global Tracking Systems in the Australian Interstate Trucking Industry

2013 ◽  
pp. 226-234
Author(s):  
Jann Karp
Keyword(s):  
Data Collection ◽  
Global Positioning System ◽  
Truck Drivers ◽  
Trucking Industry ◽  
Positioning System ◽  
Tracking Systems ◽  
Global Tracking ◽  
Technological Advances ◽  
Global Positioning ◽  
Tracking Devices

Technology, trucking, and the surveillance of workers in the workplace: helpful or a hindrance? Technological advances are produced by the creative ideas individuals: these ideas then become selling items in their own right. Do tracking devices effectively regulate traffic breaches and criminality within the trucking industry? The data collection was conducted in the field while the authors rode as a passenger with truck drivers on long-haul trips. The complexities of tracking systems became more apparent as the authors listened to the men and placed their narratives in a broader context for a broader audience. The results of the work indicated that the Global Positioning System (GPS) has a role in the management of the industry as a logistics tool, but that there are limitations to the technology. The drivers use the devices and also feel the oppressive oversight when managers use the data as a disciplinary tool.

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