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Title:

Spatio-Temporal Prediction of Freeway Congestion Patterns using Discrete Choice Methods

Document type:
Konferenzbeitrag
Contribution type:
Poster
Author(s):
Metzger, Barbara; Loder, Allister; Kessler, Lisa; Bogenberger, Klaus
Abstract:
Predicting freeway traffic states is, so far, based on predicting speeds or traffic volumes with various methodological approaches ranging from statistical modeling to deep learning. Traffic on freeways, however, follows patterns in space-time like stop-and-go waves or mega jams. These patterns by itself are informative because they propagate in space-time in different ways, e.g., stop-and-go waves exhibit a typical that can range far ahead in time. When these patterns and their propagation beco...     »
Keywords:
traffic state prediction, mixed logit, congestion patterns, freeway
Dewey Decimal Classification:
620 Ingenieurwissenschaften
Book / Congress title:
Transportation Research Board Annual Meeting
Congress (additional information):
Transportation Research Board Annual Meeting
Organization:
Transportation Research Board Annual Meeting
Date of congress:
Januar 2022
Date of publication:
17.01.2022
Year:
2022
Quarter:
1. Quartal
Month:
Jan
Pages:
20
Publication format:
WWW
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