Utilizing wireless-based data collection units for automated vehicle movement data collection Public Deposited

http://ir.library.oregonstate.edu/concern/graduate_thesis_or_dissertations/k643b3579

Descriptions

Attribute NameValues
Creator
Abstract or Summary
  • There are many different types of automatic data collection technologies that have been used in transportation system applications such as pneumatic tubes, radar, video cameras, inductive loops detectors, wireless toll tags, and global positioning systems (GPS). Nevertheless, there are still multiple examples of important and helpful transportation system data that still require manual data collection. In this research, the automatic transportation system data collection capabilities are expanded by enhancements in the use of wireless communications technology. In recent years, smartphones and electronic peripherals with wireless communication capabilities have become very popular. Many of these electronic devices include a Bluetooth or Wi-Fi wireless radio, whose presence in a vehicle can be used as a vehicle identifier. With wireless on-board devices available now and in the future, this research explores how roadside data collection units (DCUs) communicating with on-board devices can be used for the automated data collection of important road system data such as intersection performance data. To this end, two approaches for wirelessly collecting vehicle movement over a short road segment were explored. One approach utilized the collection and triangulation of wireless signal strength data, and demonstrated the capabilities and limitations of this approach. The second approach focused on developing methods for utilizing wireless signal strength data for vehicle point detection and identification. The vehicle point detection methods developed were applied to collect travel time data over signalized arterial roads, and to collect intersection delay data for a three way stop controlled intersection. The results from these case studies indicate a significant advantage in the proposed data collection system over the existing data collection approaches presented in the literature.
Resource Type
Date Available
Date Copyright
Date Issued
Degree Level
Degree Name
Degree Field
Degree Grantor
Commencement Year
Advisor
Committee Member
Academic Affiliation
Non-Academic Affiliation
Keyword
Subject
Rights Statement
Peer Reviewed
Language
Replaces
Additional Information
  • description.provenance : Approved for entry into archive by Julie Kurtz(julie.kurtz@oregonstate.edu) on 2013-02-27T16:06:13Z (GMT) No. of bitstreams: 1 SaeediAmirali20013.pdf: 3544038 bytes, checksum: 749383429bd2fcfbcedd77a38a1aac4b (MD5)
  • description.provenance : Made available in DSpace on 2013-02-28T00:11:16Z (GMT). No. of bitstreams: 1 SaeediAmirali20013.pdf: 3544038 bytes, checksum: 749383429bd2fcfbcedd77a38a1aac4b (MD5) Previous issue date: 2013-02-22
  • description.provenance : Submitted by Amirali Saeedi (saeedia@onid.orst.edu) on 2013-02-26T19:16:04Z No. of bitstreams: 1 SaeediAmirali20013.pdf: 3544038 bytes, checksum: 749383429bd2fcfbcedd77a38a1aac4b (MD5)
  • description.provenance : Approved for entry into archive by Laura Wilson(laura.wilson@oregonstate.edu) on 2013-02-28T00:11:16Z (GMT) No. of bitstreams: 1 SaeediAmirali20013.pdf: 3544038 bytes, checksum: 749383429bd2fcfbcedd77a38a1aac4b (MD5)

Relationships

Parents:

This work has no parents.

Last modified

Downloadable Content

Download PDF

Items