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Collecting Ambient Vehicle Trajectories from an Instrumented Probe Vehicle and Fusing with Loop Detector Actuations

Wu, Mo, Wu
http://orcid.org/0000-0002-0132-2154
http://rave.ohiolink.edu/etdc/view?acc_num=osu1532029900701586

Abstract Details

2018, Doctor of Philosophy, Ohio State University, Electrical and Computer Engineering.
This dissertation presents the methodology and results from a study to extract empirical microscopic vehicular interactions from an instrumented probe vehicle (IPV) equipped with perception sensors to monitor the ambient vehicles as it traverses a 28 mi long freeway corridor. Key to this task is striking the right balance between automatic and manual processing. Recognizing that any empirical microscopic data for traffic flow theory has to be manually validated anyway, the present study uses a "pretty good" automated processing algorithm followed by detailed manual cleanup using an efficient user interface to rapidly process the data. The contributions of this task are twofold: first, the approach to seek a cost-effective balance between automation and manual data reduction transcends the specific application. Second, the resulting empirical data set is intended to help advance traffic flow theory. With the ambient vehicles trajectories extracted, the second task of this research is fusing the trajectories with concurrent loop detector data measured along the corridor as the IPV passed. The biggest challenges in this task are an unknown time offset between the two data sets that slowly drifts over time, and the fact that the locations of the loop detectors are only known within 100 m. The methodology is robust enough to solve the time offset to within a second, the loop detector station location to within 5 m, and identify all of the pulses at the loop detectors that correspond to the IPV and ambient vehicles seen by the IPV.
Benjamin Coifman, Prof. (Advisor)
Bradley Clymer, Prof. (Committee Member)
Keith Redmill, Prof. (Committee Member)
116 p.
Electrical Engineering

Recommended Citations

Citations

  • Wu, Wu, M. (2018). Collecting Ambient Vehicle Trajectories from an Instrumented Probe Vehicle and Fusing with Loop Detector Actuations [Doctoral dissertation, Ohio State University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=osu1532029900701586

    APA Style (7th edition)

  • Wu, Wu, Mo. Collecting Ambient Vehicle Trajectories from an Instrumented Probe Vehicle and Fusing with Loop Detector Actuations. 2018. Ohio State University, Doctoral dissertation. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=osu1532029900701586.

    MLA Style (8th edition)

  • Wu, Wu, Mo. "Collecting Ambient Vehicle Trajectories from an Instrumented Probe Vehicle and Fusing with Loop Detector Actuations." Doctoral dissertation, Ohio State University, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=osu1532029900701586

    Chicago Manual of Style (17th edition)

osu1532029900701586
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© 2018, all rights reserved.
This open access ETD is published by The Ohio State University and OhioLINK.