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ALGORITHMS AND DATA STRUCTURES FOR THE
REAL-TIME PROCESSING OF TRAFFIC DATA
by
Jeffrey Allen Miller
____________________________________________________________________
A Dissertation Presented to the
FACULTY OF THE GRADUATE SCHOOL
UNIVERSITY OF SOUTHERN CALIFORNIA
In Partial Fulfillment of the
Requirements for the Degree
DOCTOR OF PHILOSOPHY
(COMPUTER SCIENCE)
August 2007
Copyright 2007 Jeffrey Miller
Object Description
| Title | Algorithms and data structures for the real-time processing of traffic data |
| Author | Miller, Jeffrey Allen |
| Author email | jeffrey.miller@usc.edu |
| Degree | Doctor of Philosophy |
| Document type | Dissertation |
| Degree program | Computer Science |
| School | Viterbi School of Engineering |
| Date defended/completed | 2007-04-27 |
| Date submitted | 2007 |
| Restricted until | Unrestricted |
| Date published | 2007-06-05 |
| Advisor (committee chair) | Horowitz, Ellis |
| Advisor (committee member) |
Huang, Ming-Deh Ioannou, Petros |
| Abstract | This thesis is focused on gathering traffic information in a distributed fashion through an application running in each vehicle rather than through expensive hardware that must be embedded in roads at discrete locations. This allows for a new approach to gathering traffic data over a continuous-flow rather than at discrete locations, as is the case with existing technologies. Using mobile technology, the vehicles can transmit their speed and location to a central system, allowing the fastest path of each vehicle from its current location to its destination to be maintained in real-time. Gathering the speed and location of each vehicle in real-time over a continuous flow will allow more novel applications, such as incident identification and traffic prediction, to be developed.; I present an analysis of the bandwidth that would be required compared to the bandwidth that is currently available over cellular networks, from which I conclude that the bandwidth currently available is sufficient to run this application. To gather the speed and location of each vehicle and then generate fastest paths for each in an efficient manner, I build on the work of static shortest path algorithms and dynamic shortest path algorithms to produce a new class of algorithms called the Dynamic All-Pairs All-Paths (APAP) algorithms. I analyze the algorithmic running time of these algorithms, and show that the Dynamic APAP class of algorithms runs faster theoretically and the Dynamic APAP -- Constant Update algorithm runs faster practically than existing algorithms.; I have created FreeSim (http://www.freewaysimulator.com), which is a freeway traffic simulator for Intelligent Transportation Systems (ITS), that allows individual vehicles to communicate autonomously with the roadway (V2R) or other vehicles (V2V). FreeSim's architecture is unique in that it supports constant communication between all vehicles and a central server that is monitoring traffic and sending advice about preferred paths to vehicle's destinations. FreeSim provides a testing environment that supports both user-generated and live traffic as input. It also supports plug-and-play algorithms for computing fastest/shortest paths or other graph or traffic algorithms. It also supports plug-and-play algorithms for computing fastest/shortest paths or other graph or traffic algorithms. |
| Keyword | software engineering; networking; algorithms; transportation |
| Language | English |
| Part of collection | University of Southern California dissertations and theses |
| Publisher (of the original version) | University of Southern California |
| Place of publication (of the original version) | Los Angeles, California |
| Publisher (of the digital version) | University of Southern California. Libraries |
| Type | texts |
| Legacy record ID | usctheses-m504 |
| Rights | Miller, Jeffrey Allen |
| Repository name | Libraries, University of Southern California |
| Repository address | Los Angeles, California |
| Repository email | http://www.usc.edu/isd/libraries/services/ask_a_librarian/email/ |
| Filename | etd-Miller-20070605 |
| Archival file | uscthesesreloadpub_Volume44/etd-Miller-20070605.pdf |
Description
| Title | Page 1 |
| Full text | ALGORITHMS AND DATA STRUCTURES FOR THE REAL-TIME PROCESSING OF TRAFFIC DATA by Jeffrey Allen Miller ____________________________________________________________________ A Dissertation Presented to the FACULTY OF THE GRADUATE SCHOOL UNIVERSITY OF SOUTHERN CALIFORNIA In Partial Fulfillment of the Requirements for the Degree DOCTOR OF PHILOSOPHY (COMPUTER SCIENCE) August 2007 Copyright 2007 Jeffrey Miller |
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