Scipediacontent: Scipediacontent moved page Draft Content 932072398 to Panovski Zaharia 2019a

2021-01-28T22:16:01Z

Scipediacontent moved page Draft Content 932072398 to Panovski Zaharia 2019a

Scipediacontent: Created page with " == Abstract == International audience; Good, efficient and reliable public transportation systems are of crucial importance for all major cities today. In this paper, we pro..."

2021-01-28T22:15:55Z

Created page with " == Abstract == International audience; Good, efficient and reliable public transportation systems are of crucial importance for all major cities today. In this paper, we pro..."

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== Abstract ==

International audience; Good, efficient and reliable public transportation systems are of crucial importance for all major cities today. In this paper, we propose a concrete solution to a particular problem: improve the prediction of the bus arrival time at each bus stop station on a given itinerary, by taking to account global and local traffic contexts. The main principle consists of modeling the traffic data as an image structure, adapted for applying CNN deep neural networks. The results obtained shows that the proposed approach outperforms traditional machine learning techniques, such as OLS (Ordinary Least Squares) or SVR (Support Vector Regression) with different kernels (RBF or Polynomial), with more than 18% better accuracy prediction, while being computationally faster.

== Original document ==

The different versions of the original document can be found in:

* [https://hal.archives-ouvertes.fr/hal-02468759 https://hal.archives-ouvertes.fr/hal-02468759]

* [http://link.springer.com/content/pdf/10.1007/978-3-030-38822-5_10 http://link.springer.com/content/pdf/10.1007/978-3-030-38822-5_10],
: [http://dx.doi.org/10.1007/978-3-030-38822-5_10 http://dx.doi.org/10.1007/978-3-030-38822-5_10] under the license http://www.springer.com/tdm

* [https://rd.springer.com/chapter/10.1007/978-3-030-38822-5_10 https://rd.springer.com/chapter/10.1007/978-3-030-38822-5_10],
: [https://link.springer.com/chapter/10.1007/978-3-030-38822-5_10 https://link.springer.com/chapter/10.1007/978-3-030-38822-5_10],
: [https://academic.microsoft.com/#/detail/2999268026 https://academic.microsoft.com/#/detail/2999268026]

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Panovski Zaharia 2019a - Revision history

Scipediacontent: Scipediacontent moved page Draft Content 932072398 to Panovski Zaharia 2019a

Scipediacontent: Created page with " == Abstract == International audience; Good, efficient and reliable public transportation systems are of crucial importance for all major cities today. In this paper, we pro..."