Disentangling the city traffic rhythms

Open access
Date
2021-05Type
- Journal Article
Citations
Cited 13 times in
Web of Science
Cited 13 times in
Scopus
ETH Bibliography
yes
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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. Show more
Permanent link
https://doi.org/10.3929/ethz-b-000473912Publication status
publishedExternal links
Journal / series
Transportation Research Part C: Emerging TechnologiesVolume
Pages / Article No.
Publisher
Elsevier BVSubject
Macroscopic Fundamental Diagram (MFD); Clustering; Empirical data; PredictionOrganisational unit
08686 - Gruppe Strassenverkehrstechnik
02655 - Netzwerk Stadt und Landschaft D-ARCH
Funding
ETH-27 16-1 - SPEED - Rethinking speed limits in urban networks (ETHZ)
ETH-04 15-1 - "How many are too many?" (ETHZ)
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Show all metadata
Citations
Cited 13 times in
Web of Science
Cited 13 times in
Scopus
ETH Bibliography
yes
Altmetrics