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Travel Time Estimation Using Speed Predictions
2015 IEEE 18th International Conference on Intelligent Transportation Systems, 2015Adanced traveler information systems (ATIS) use sensing, communication and data processing technologies to collect and disseminate real time road traffic information. Route guidance systems utilize this data to estimate and optimize travel times. Paths with the shortest travel times are then computed to suggest to the user, an optimal path to reach ...
Aditya Narayanan +4 more
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Travel-Time Prediction Methods: A Review
2018Near-future Travel-time information is helpful to implement Intelligent Transportation Systems (ITS). Travel-time prediction refers to predicting future travel-time. Researchers have developed various methods to predict travel-time in the past decades. This paper conducts a review focusing on literatures, including techniques proposed recently.
Mengting Bai +3 more
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The real time prediction of freeway travel times
2021This 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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Assessing the predictability of scheduled-vehicle travel times
Proceedings of the 17th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2009One of the most desired and challenging services in collective transport systems is the real-time prediction of the near-future travel times of scheduled vehicles, especially public buses, thus improving the experience of the transportation users, who may be able to better schedule their travel, and also enabling system operators to perform real-time ...
Dalia Tiesyte, Christian S. Jensen
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Bus travel time prediction using a time-space discretization approach
Transportation Research Part C: Emerging Technologies, 2017 The accuracy of travel time information given to passengers plays a key role in the success of any Advanced Public Transportation Systems (APTS) application. In order to improve the accuracy of such applications, one should carefully develop a prediction
B Anil Kumar +2 more
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Similarity-based prediction of travel times for vehicles traveling on known routes
Proceedings of the 16th ACM SIGSPATIAL international conference on Advances in geographic information systems, 2008The use of centralized, real-time position tracking is proliferating in the areas of logistics and public transportation. Real-time positions can be used to provide up-to-date information to a variety of users, and they can also be accumulated for uses in subsequent data analyses. In particular, historical data in combination with real-time data may be
Dalia Tiesyte, Christian S. Jensen
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A simple and effective method for predicting travel times on freeways
ITSC 2001. 2001 IEEE Intelligent Transportation Systems. Proceedings (Cat. No.01TH8585), 2002We present a method to predict the time that will be needed to traverse a certain stretch of freeway when departure is at a certain time in the future. The prediction is done on the basis of the current traffic situation in combination with historical data. We argue that, for our purpose, the current situation of a stretch of freeway is well summarized
John Rice, Erik van Zwet
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Short-term travel time prediction
Transportation Research Part C: Emerging Technologies, 2003Abstract Effective prediction of travel times is central to many advanced traveler information and transportation management systems. In this paper we propose a method to predict freeway travel times using a linear model in which the coefficients vary as smooth functions of the departure time.
John A Rice
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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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Travel-time prediction with deep learning
2016 IEEE Region 10 Conference (TENCON), 2016Travel time prediction is a challenging problem in Intelligent Transportation Systems (ITS). Accurate travel time information helps motorists plan their routes more wisely. This, in turn, alleviates traffic congestion and improves operation efficiency.
Chaiyaphum Siripanpornchana +2 more
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