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Big Data Driven Assessment of Probe-sourced Data
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| 자료유형 | 학위논문 |
|---|---|
| 서명/저자사항 | Big Data Driven Assessment of Probe-sourced Data. |
| 개인저자 | Ahsani, Vesal. |
| 단체저자명 | Iowa State University. Civil, Construction, and Environmental Engineering. |
| 발행사항 | [S.l.]: Iowa State University., 2019. |
| 발행사항 | Ann Arbor: ProQuest Dissertations & Theses, 2019. |
| 형태사항 | 124 p. |
| 기본자료 저록 | Dissertations Abstracts International 81-02A. Dissertation Abstract International |
| ISBN | 9781085595674 |
| 학위논문주기 | Thesis (Ph.D.)--Iowa State University, 2019. |
| 일반주기 |
Source: Dissertations Abstracts International, Volume: 81-02, Section: A.
Advisor: Sharma, Anuj. |
| 이용제한사항 | This item must not be sold to any third party vendors. |
| 요약 | Presently, there is an expanding interest among transportation agencies and state Departments of Transportation to consider augmenting traffic data collection with probe-based services, such as INRIX. The objective is to decrease the cost of deploying and maintaining sensors and increase the coverage under constrained budgets. This dissertation documents a study evaluating the opportunities and challenges of using INRIX data in Midwest. The objective of this study is threefold: (1) quantitative analysis of probe data characteristics: coverage, speed bias, and congestion detection precision (2) improving probe based congestion performance metrics accuracy by using change point detection, and (3) assessing the impact of game day schedule and opponents on travel patterns and route choice.The first study utilizes real-time and historical traffic data which are collected through two different data sources |
| 일반주제명 | Civil engineering. Transportation. Computer science. |
| 언어 | 영어 |
| 바로가기 | 
: 이 자료의 원문은 한국교육학술정보원에서 제공합니다. |
