@article{e1a545a8b86d48079661127f5a1ec6c0,
title = "Disentangling the city traffic rhythms: A longitudinal analysis of MFD patterns over a year",
abstract = "Urban road transportation performance is the result of a complex interplay between the network supply and the travel demand. Fortunately, the framework around the macroscopic fundamental diagram (MFD) provides an efficient description of network-wide traffic performance. In this paper, we show how temporal patterns of vehicle traffic define the performance of urban road networks. We present two high-resolution traffic datasets covering a year each. We introduce a methodology to quantify the similarity of macroscopic traffic patterns. We do so by using the concepts of the MFD and a dynamic time warping (DTW) based algorithm for time series. This allows us to derive a few representative MFD clusters that capture the essential macroscopic traffic patterns. We then provide an in-depth analysis of traffic heterogeneity in the network which is indicative of the previously found clusters. Thereupon, we define a parsimonious classification approach to predict the expected MFD clusters early in the morning with high accuracy.",
keywords = "Clustering, Empirical data, Macroscopic fundamental diagram (MFD), Prediction",
author = "Lukas Amb{\"u}hl and Allister Loder and Ludovic Leclercq and Monica Menendez",
note = "Funding Information: L. Amb{\"u}hl acknowledges the support by the ETH Research Grant, Switzerland ETH-27 16–1 under the project name SPEED. A. Loder acknowledges the support by the ETH Research Grant, Switzerland ETH-04 15-1 under the project name How many are too many? L. Leclercq acknowledges funding from the European Research Council (ERC) under the European Union{\textquoteright}s Horizon 2020 research and innovation program (grant agreement No. 646592 – MAGnUM project). M. Menendez acknowledges support by the NYUAD Center for Interacting Urban Networks (CITIES), United Arab Emirates , funded by Tamkeen under the NYUAD Research Institute Award CG001 and by the Swiss Re Institute under the Quantum Cities{\texttrademark} initiative. Funding Information: L. Amb?hl acknowledges the support by the ETH Research Grant, SwitzerlandETH-27 16?1 under the project name SPEED. A. Loder acknowledges the support by the ETH Research Grant, SwitzerlandETH-04 15-1 under the project name How many are too many? L. Leclercq acknowledges funding from the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation program (grant agreement No. 646592 ? MAGnUM project). M. Menendez acknowledges support by the NYUAD Center for Interacting Urban Networks (CITIES), United Arab Emirates, funded by Tamkeen under the NYUAD Research Institute Award CG001 and by the Swiss Re Institute under the Quantum Cities? initiative. Publisher Copyright: {\textcopyright} 2021 Copyright: Copyright 2021 Elsevier B.V., All rights reserved.",
year = "2021",
month = may,
doi = "10.1016/j.trc.2021.103065",
language = "English (US)",
volume = "126",
journal = "Transportation Research Part C: Emerging Technologies",
issn = "0968-090X",
publisher = "Elsevier Limited",
}