Jun 10, 2019 · In this paper, we propose a probabilistic framework to infer network-wide link travel time with trip-based data from automatic vehicle ...
In this paper, we propose a probabilistic framework to infer network-wide link travel time with trip-based data from automatic vehicle identification (AVI) ...
May 29, 2020 · In this paper, we propose a probabilistic framework to infer network-wide link travel time with trip-based data from automatic vehicle ...
This paper studies link travel time estimation using entry/exit time stamps of trips on a steady-state transportation network. We propose two inference methods ...
Oct 22, 2024 · Network-Wide Link Travel Time Inference Using Trip-Based Data From Automatic Vehicle Identification Detectors. Article. Full-text available.
Network-wide link travel time inference using trip-based data from automatic vehicle identification detectors. IEEE Transactions on Intelligent ...
May 20, 2023 · To this end, by gathering several trips from AVI sensors, the task of inferring network-wide link travel times can be tackled feasibly. Hence, ...
This paper proposes a short-term rolling horizon framework for the within-day prediction of travel times on links with and without point detectors.
Sep 1, 2022 · Network-wide traffic signal control (NTSG) is one of the most important factors that impact the transportation network efficiency.
Feb 1, 2016 · This paper presents a new method to estimate the travel time based on an evolving fuzzy neural inference system. The input variables in the ...
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