Time Delay Estimation of Traffic Congestion Propagation based on
Transfer Entropy
- URL: http://arxiv.org/abs/2108.06717v1
- Date: Sun, 15 Aug 2021 10:58:59 GMT
- Title: Time Delay Estimation of Traffic Congestion Propagation based on
Transfer Entropy
- Authors: YongKyung Oh, JiIn Kwak, JuYoung Lee, Sungil Kim
- Abstract summary: This article presents a novel time delay estimation method for traffic congestion propagation between roads using lag-specific transfer entropy (TE)
The proposed method was validated using simulated data as well as real user trajectory data obtained from a major GPS navigation system applied in South Korea.
- Score: 2.6184533346117793
- License: http://creativecommons.org/licenses/by-nc-nd/4.0/
- Abstract: Considering how congestion will propagate in the near future, understanding
traffic congestion propagation has become crucial in GPS navigation systems for
providing users with a more accurate estimated time of arrival (ETA). However,
providing the exact ETA during congestion is a challenge owing to the complex
propagation process between roads and high uncertainty regarding the future
behavior of the process. Recent studies have focused on finding frequent
congestion propagation patterns and determining the propagation probabilities.
By contrast, this study proposes a novel time delay estimation method for
traffic congestion propagation between roads using lag-specific transfer
entropy (TE). Nonlinear normalization with a sliding window is used to
effectively reveal the causal relationship between the source and target time
series in calculating the TE. Moreover, Markov bootstrap techniques were
adopted to quantify the uncertainty in the time delay estimator. To the best of
our knowledge, the time delay estimation method presented in this article is
the first to determine the time delay between roads for any congestion
propagation pattern. The proposed method was validated using simulated data as
well as real user trajectory data obtained from a major GPS navigation system
applied in South Korea.
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