Data Collection Based on Global Positioning System for Travel Time and Delay for Arterial Roadway Network

2007 ◽  
Vol 2024 (1) ◽  
pp. 35-43 ◽  
Author(s):  
Changxuan Pan ◽  
Jiangang Lu ◽  
Dawei Wang ◽  
Bin Ran
Keyword(s):  
Data Collection ◽  
Travel Time ◽  
Global Positioning System ◽  
Positioning System ◽  
Global Positioning

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

The Global Positioning System

1980 ◽  
Vol 294 (1410) ◽  
pp. 395-406 ◽  
Keyword(s):  
United States ◽  
Travel Time ◽  
Global Positioning System ◽  
The United States ◽  
Positioning System ◽  
Absolute Position ◽  
Southwestern Part ◽  
Ground Station ◽  
Global Positioning ◽  
Better Than

The Navstar Global Positioning System, proposed for deployment in 1985, will have eight satellites equally spaced in each of three orbit planes at an inclination of 63°. Since the satellites will be in circular, 20000 km (12 h period), orbits and the nodes of the three orbit planes will be equally spaced, at least four satellites will be in view at any location. Range to three of the satellites, computed from the travel time of signal from the satellite to the ground, would give the position of the ground receiver. The measurement to the fourth satellite is required to synchronize the ground station clock with the satellite to provide a sufficiently accurate travel time. In order that the system may be demonstrated in early 1979, six satellites are now being launched into orbits that will provide the operational configuration over the southwestern part of the United States for a few hours each day. The accuracy of the instantaneous absolute position is expected to be 10 m. The relative position of two stationary receivers could be determined to 1 m accuracy in a few minutes even if the receivers are separated by 1000 km. Relative positions could be determined to better than 10 cm accuracy within a day.

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.

Reconsideration of Sample Size Requirements for Field Traffic Data Collection with Global Positioning System Devices

2002 ◽  
Vol 1804 (1) ◽  
pp. 17-22 ◽  
Author(s):  
Shuo Li ◽  
Karen Zhu ◽  
B. H. W. van Gelder ◽  
John Nagle ◽  
Carl Tuttle
Keyword(s):  
Data Collection ◽  
Sample Size ◽  
Travel Time ◽  
Global Positioning System ◽  
Work Zone ◽  
Traffic Data ◽  
Sample Sizes ◽  
Traffic Data Collection ◽  
Global Positioning ◽  
Gps Devices

The use of Global Positioning System (GPS) technologies has expanded to perform traffic data collection for transportation studies such as work zone studies. To generate reliable results from the data acquired by using GPS devices, it is necessary to investigate such factors as sample size requirements that may affect a specific study and to establish a consistent method for data collection. It has been confirmed that the Institute of Transportation Engineers’ Manual of Transportation Engineering Studies usually underestimates the sample sizes for travel time and delay studies. However, the hybrid method developed by Quiroga and Darcy overestimates the sample sizes. A modified equation is presented to estimate the minimum sample sizes for collecting field data with GPS devices. Travel speed may be more stable and can be easily measured for travel time and delay studies. Stopped delay varies considerably at intersections, and the sample sizes depend to a large extent on the permitted errors. Work zone layout and construction activities will create variations in vehicle flow within the work zone. To estimate the sample size requirements, it is advisable to use the standard deviation to measure the data dispersion, and a minimum of three initial test runs is required. GPS devices with sufficient accuracy usually require 5 to 10 samples for travel time and delay studies and work zone studies. Stopped delay studies may require a large sample of up to 30 test runs.

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