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020 ▼a 9780438018105
035 ▼a (MiAaPQ)AAI10792237
035 ▼a (MiAaPQ)purdue:22540
040 ▼a MiAaPQ ▼c MiAaPQ ▼d 248032
0820 ▼a 624
1001 ▼a Mekker, Michelle.
24510 ▼a Connected Vehicle Data-Based Tools for Work Zone Active Traffic Management.
260 ▼a [S.l.] : ▼b Purdue University., ▼c 2018
260 1 ▼a Ann Arbor : ▼b ProQuest Dissertations & Theses, ▼c 2018
300 ▼a 174 p.
500 ▼a Source: Dissertation Abstracts International, Volume: 79-10(E), Section: B.
500 ▼a Adviser: Darcy M. Bullock.
5021 ▼a Thesis (Ph.D.)--Purdue University, 2018.
520 ▼a Work zones present challenges to safety and mobility that require agencies to balance limited resources with vital traffic management activities. It is important to obtain operational feedback for successful active traffic management in work zon
520 ▼a Back-of-queue crashes on high-speed roads are often severe and present an early opportunity for leveraging connected vehicle data to mitigate queueing. The connected vehicle data presented in this dissertation provides compelling evidence that t
520 ▼a A real-time queue alert system was developed to detect queues and notify INDOT personnel via email. When average speeds drop below 45 MPH, queue monitoring algorithms are triggered, and an alert is sent to selected individuals. Still camera imag
520 ▼a A weekly work zone report was developed for use by the Indiana Department of Transportation (INDOT) for the purpose of assessing and improving both mobility and safety in work zones. The report includes a number of graphs, figures, and statistic
520 ▼a Lastly, this dissertation discusses the integration of LiDAR-generated geometric data with connected vehicle speed data to evaluate the impact of work zone geometry on traffic operations. A LiDAR-mounted vehicle was deployed to a variety of work
590 ▼a School code: 0183.
650 4 ▼a Civil engineering.
650 4 ▼a Transportation.
690 ▼a 0543
690 ▼a 0709
71020 ▼a Purdue University. ▼b Civil Engineering.
7730 ▼t Dissertation Abstracts International ▼g 79-10B(E).
773 ▼t Dissertation Abstract International
790 ▼a 0183
791 ▼a Ph.D.
792 ▼a 2018
793 ▼a English
85640 ▼u http://www.riss.kr/pdu/ddodLink.do?id=T14997681 ▼n KERIS
980 ▼a 201812 ▼f 2019
990 ▼a 관리자