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2021
This thesis was scanned from the print manuscript for digital preservation and is copyright the author. Researchers can access this thesis by asking their local university, institution or public library to make a request on their behalf. Monash staff and postgraduate students can use the link in the References field.
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This thesis was scanned from the print manuscript for digital preservation and is copyright the author. Researchers can access this thesis by asking their local university, institution or public library to make a request on their behalf. Monash staff and postgraduate students can use the link in the References field.
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Travel time prediction with viscoelastic traffic model
Applied Mathematics and Mechanics, 2018zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Zhang, Yongliang +4 more
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Online travel time prediction based on boosting
2009 12th International IEEE Conference on Intelligent Transportation Systems, 2009Travel time prediction is a very important problem in intelligent transportation system research. We examine the use of boosting, a machine learning technique in travel time prediction, and combine boosting and neural network models to increase prediction accuracy.
Ying Li +2 more
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Experienced travel time prediction for freeway systems
2012 15th International IEEE Conference on Intelligent Transportation Systems, 2012Travel time is considered as one of the most important performance measures for roadway systems, and dissemination of travel time information can help travelers to make reliable travel decisions such as route choice or time departure. Since the traffic data collected in real time reflects the past or the current conditions on the roadway, a predictive ...
Mehmet Yildirimoglu, Nikolas Geroliminis
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A CNN-Bi_LSTM parallel network approach for train travel time prediction
Knowledge-Based Systems, 2022Jingwei Guo +4 more
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Travel time prediction in transport and logistics
VINE Journal of Information and Knowledge Management Systems, 2019Purpose Many transport and logistics companies nowadays use raw vehicle GPS data for travel time prediction. However, they face difficult challenges in terms of the costs of information storage, as well as the quality of the prediction. This paper aims to systematically investigate various meta-data (features) that require significantly less storage ...
Xia Li +3 more
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2017
This paper discusses the methods of travel time prediction based on the usage of machine learning and historical data. The developed prediction models are described as well as the data sources which were used as the input of the prediction models. Finally, the comparison of the models‘ performance is shown, providing proof the developed models have ...
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This paper discusses the methods of travel time prediction based on the usage of machine learning and historical data. The developed prediction models are described as well as the data sources which were used as the input of the prediction models. Finally, the comparison of the models‘ performance is shown, providing proof the developed models have ...
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Vehicle routing and travel time prediction
2009Process description of travel time prediction modelling for time dependent Vehicle Routing Problems (VRP), congestion management, route guidance and decision making based on GPS tracks and data mining methodologies.
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GSTA: gated spatial–temporal attention approach for travel time prediction
Neural computing & applications (Print), 2021Alkilane Khaled +2 more
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