Using Gps Data In Route Choice Analysis
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Using Gps Data In Route Choice Analysis
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Author : Anyang Hou
language : en
Publisher:
Release Date : 2010
Using Gps Data In Route Choice Analysis written by Anyang Hou and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010 with Global Positioning System categories.
The pervasive location-based technologies, such as GPS and cell phone, help us find the pattern of geographical information of human behavior and also help dig opportunities in real world. In transportation field, they help people better understand the transportation behavior and at the same time collect necessary information for us. One important aspect of its application is how people choose the route given the existing urban network. However, dealing with the excessive amount of data and the modeling of route choice behavior are two major challenges in the route choice analysis. This thesis discusses the general process in the route choice analysis, from GPS data processing, map matching to the generation of route choice sets. Besides, the Path-Size logit model is implemented to address the modeling issue. In this thesis, I develop a new effective method, which I called Point-Based Local Search Map Matching, to match the consecutive GPS data to the network data. Also, I develop a new model, which I called Random Weight Choice Set Generation Model to deal with the choice set generation problem in the route choice analysis. The data comes from two major sources. One is the Boston car GPS data. It tells when and where a specific car is. The other is the Boston urban network data, which contains all types of roads in GIS format.
Investigating Route Choices And Driving Behavior Using Gps Collected Data
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Author : Jianhe Du
language : en
Publisher:
Release Date : 2005
Investigating Route Choices And Driving Behavior Using Gps Collected Data written by Jianhe Du and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005 with Electronic dissertations categories.
The overall objective of this research is to collect real world travel route data using Global Positioning System (GPS) receivers and to develop the models needed to use these data in route choice and other travel behavior research. To achieve the goal three specific analyses are conducted. First, a GIS model was developed to divide the data stream recorded by the in-vehicle GPS receivers into individual trips with the start and end point of the trip being specifically identified. Second, a spatial model was developed to change the typology of the routes (or trips) from representation as a series of points into a series of continuous network links. Automating this data processing will allow analysis of larger datasets for more generalizable results. Third, travel time on each road link in the entire network was estimated using the sparse sample of GPS travel data (256 vehicles each for 10 days spreading over the 18 month study period) as travel time probes. This model is necessary so that the link travel times on each alternative routes faced by the drivers for each trip are known by researchers. This knowledge of the full network travel times, which has not been available in any previous research, will allow for the generation of alternative routes and comparison with the chosen routes to determine the relative influences of different factors on route choice. One specific unique aspect of this work is that data for calibration and evaluation of models were available. The evaluations of the models indicated which combination of parameters was best. The trip dividing model correctly identified 94% of the trips. The accuracy level of the point-to-link data conversion model was 95%. The average difference between the GPS recorded travel time and the estimated travel time for a trip is 70.8 seconds for the 12, 767 trips (average trip length 5,226 meters). Overall, this research provides the first highly reliable and fully evaluated series of GIS models to automatically process GPS collected travel route data. The results will increase the confidence and reliability of GPS usage for route choice research and other transportation planning exercises.
Development Of Truck Route Choice Data Using Truck Gps
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Author : Mohammadreza Kamali
language : en
Publisher:
Release Date : 2015
Development Of Truck Route Choice Data Using Truck Gps written by Mohammadreza Kamali and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015 with Transportation categories.
In the second part of the thesis, the methodologies developed in the first part are implemented in an FDOT sponsored project entitled "GPS Data for Truck-Route Choice Analysis of Port Everglades Petroleum Commodity Flows". This project aims to use truck-GPS data from ATRI to derive petroleum tanker trucks' travel path (or route) information, describing the routes that the tanker trucks take to travel from Port Everglades to their final delivery points.
Gps Data For Truck Route Choice Analysis Of Port Everglades Petroleum Commodity Flow
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Author : Abdul R. Pinjari
language : en
Publisher:
Release Date : 2016
Gps Data For Truck Route Choice Analysis Of Port Everglades Petroleum Commodity Flow written by Abdul R. Pinjari and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016 with Freight and freightage categories.
This project investigated the use of truck-GPS data to derive travel patterns of petroleum-tanker trucks delivering petroleum commodities from Port Everglades (PEV) to gas stations and other fuel recipients in South Florida. The data in this project was utilized within a larger project aimed at exploring innovative ways to collect and analyze petroleum flow data in and out of Port Everglades.
Effect Of Choice Set Composition On Route Choice Models
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Author : Avinash Geda
language : en
Publisher:
Release Date : 2014
Effect Of Choice Set Composition On Route Choice Models written by Avinash Geda and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014 with categories.
Route choice models are the basis for the link level demand values. Unlike the traditional User Equilibrium and System Optimum models discrete level choice models provide a clear and better understanding of the demand forecasts for a future year. GPS based surveys have picked up lot of momentum in the recent past and the usage of the same data for the research helps lapse many limitations that are being caused due to the telephone based or other ways of route choice surveys. These GPS surveys give a clear picture of the actual chosen route. Although the data is available in a more accurate manner, it also takes in equally difficult amount of post processing and analysis of the GPS data to come up with proper understanding of the route choice. This study positions itself in the same context looking at the route choice as an alternative chosen from a set of alternatives that are potentially available for the traveler or decision maker.
Route Choice Modeling Using Gps Data
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Author : Nagendra S. Dhakar
language : en
Publisher:
Release Date : 2012
Route Choice Modeling Using Gps Data written by Nagendra S. Dhakar and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012 with categories.
A positive sign on the path size attribute indicates that the route with less similarity with the alternatives is more likely to be chosen. Trips going to home are the least sensitive to the travel time and right turns than the other trips. Compared to home-based trips, non-home-based trips are less sensitive to intersections and time on local roads. On average, the expected overlaps (probabilistic routes) with the chosen route are similar to the deterministic overlaps (shortest time path). Also, there is a probability of about 50% that the predicted route will outperform the shortest time path. We envision this study as an important contribution towards the development of empirically rich route choice models. With increasing numbers of GPS surveys and benefits of using high-resolution roadway network, the availability of computationally efficient automatic procedures to generate the chosen routes and alternatives is critical. Further, the examination of route choice behavior in terms of travelers' demographics provides more insight into the route choice decisions.
Analysis Of Travel Route Data From A System Efficiency Perspective
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Author :
language : en
Publisher:
Release Date : 2005
Analysis Of Travel Route Data From A System Efficiency Perspective written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005 with Global Positioning System categories.
Route Choice Modeling Based On Gps Tracking Data
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Author : Zainal Nur Arifin
language : en
Publisher:
Release Date : 2012
Route Choice Modeling Based On Gps Tracking Data written by Zainal Nur Arifin and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012 with categories.
Mobility Patterns Big Data And Transport Analytics
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Author : Constantinos Antoniou
language : en
Publisher: Elsevier
Release Date : 2018-11-27
Mobility Patterns Big Data And Transport Analytics written by Constantinos Antoniou and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-11-27 with Social Science categories.
Mobility Patterns, Big Data and Transport Analytics provides a guide to the new analytical framework and its relation to big data, focusing on capturing, predicting, visualizing and controlling mobility patterns - a key aspect of transportation modeling. The book features prominent international experts who provide overviews on new analytical frameworks, applications and concepts in mobility analysis and transportation systems. Users will find a detailed, mobility 'structural' analysis and a look at the extensive behavioral characteristics of transport, observability requirements and limitations for realistic transportation applications and transportation systems analysis that are related to complex processes and phenomena. This book bridges the gap between big data, data science, and transportation systems analysis with a study of big data's impact on mobility and an introduction to the tools necessary to apply new techniques. The book covers in detail, mobility 'structural' analysis (and its dynamics), the extensive behavioral characteristics of transport, observability requirements and limitations for realistic transportation applications, and transportation systems analysis related to complex processes and phenomena. The book bridges the gap between big data, data science, and Transportation Systems Analysis with a study of big data's impact on mobility, and an introduction to the tools necessary to apply new techniques.
Truck Route Choice Modeling Using Large Streams Of Gps Data
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Author : Divyakant Tahlyan
language : en
Publisher:
Release Date : 2017
Truck Route Choice Modeling Using Large Streams Of Gps Data written by Divyakant Tahlyan and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017 with categories.