Short Term Prediction of Parking Area states Using Real Time Data and Machine Learning Techniques

Andreas Kamilaris, Jesper Provoost, Sander Drift van der, Luc Johannes Josephus Wismans, Maurice van Keulen

Research output: Contribution to conferencePaperAcademicpeer-review

Original languageEnglish
Publication statusAccepted/In press - 12 Jan 2020
Event99th Transportation Research Board (TRB) Annual Meeting 2020 - Walter E. Washington Convention Center, Washington DC, United States
Duration: 12 Jan 202016 Jan 2020

Conference

Conference99th Transportation Research Board (TRB) Annual Meeting 2020
CountryUnited States
CityWashington DC
Period12/01/2016/01/20

Cite this

Kamilaris, A., Provoost, J., Drift van der, S., Wismans, L. J. J., & van Keulen, M. (Accepted/In press). Short Term Prediction of Parking Area states Using Real Time Data and Machine Learning Techniques. Paper presented at 99th Transportation Research Board (TRB) Annual Meeting 2020, Washington DC, United States.
Kamilaris, Andreas ; Provoost, Jesper ; Drift van der, Sander ; Wismans, Luc Johannes Josephus ; van Keulen, Maurice . / Short Term Prediction of Parking Area states Using Real Time Data and Machine Learning Techniques. Paper presented at 99th Transportation Research Board (TRB) Annual Meeting 2020, Washington DC, United States.
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title = "Short Term Prediction of Parking Area states Using Real Time Data and Machine Learning Techniques",
author = "Andreas Kamilaris and Jesper Provoost and {Drift van der}, Sander and Wismans, {Luc Johannes Josephus} and {van Keulen}, Maurice",
year = "2020",
month = "1",
day = "12",
language = "English",
note = "99th Transportation Research Board (TRB) Annual Meeting 2020 ; Conference date: 12-01-2020 Through 16-01-2020",

}

Kamilaris, A, Provoost, J, Drift van der, S, Wismans, LJJ & van Keulen, M 2020, 'Short Term Prediction of Parking Area states Using Real Time Data and Machine Learning Techniques' Paper presented at 99th Transportation Research Board (TRB) Annual Meeting 2020, Washington DC, United States, 12/01/20 - 16/01/20, .

Short Term Prediction of Parking Area states Using Real Time Data and Machine Learning Techniques. / Kamilaris, Andreas ; Provoost, Jesper; Drift van der, Sander; Wismans, Luc Johannes Josephus; van Keulen, Maurice .

2020. Paper presented at 99th Transportation Research Board (TRB) Annual Meeting 2020, Washington DC, United States.

Research output: Contribution to conferencePaperAcademicpeer-review

TY - CONF

T1 - Short Term Prediction of Parking Area states Using Real Time Data and Machine Learning Techniques

AU - Kamilaris, Andreas

AU - Provoost, Jesper

AU - Drift van der, Sander

AU - Wismans, Luc Johannes Josephus

AU - van Keulen, Maurice

PY - 2020/1/12

Y1 - 2020/1/12

M3 - Paper

ER -

Kamilaris A, Provoost J, Drift van der S, Wismans LJJ, van Keulen M. Short Term Prediction of Parking Area states Using Real Time Data and Machine Learning Techniques. 2020. Paper presented at 99th Transportation Research Board (TRB) Annual Meeting 2020, Washington DC, United States.