Conference paper Open Access

Application of Artificial Intelligence Techniques to Traffic Prediction and Route Planning, the vision of TIMON project

E. Osaba; P. Lopez-Garcia; E. Onieva; A.D. Masegosa; L. Serrano; H. Landaluce


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    <subfield code="a">Enhanced real time services for an optimized multimodal mobility relying on cooperative networks and open data</subfield>
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    <subfield code="a">&lt;p&gt;TIMON is an European research project under the Horizon 2020 programme. The main objective of&lt;br&gt;
this project is to provide real-time services through a web based platform and a mobile APP for drivers,&lt;br&gt;
Vulnerable Road Users (VRUs) and businesses. These services will contribute to increasing drivers&lt;br&gt;
and VRUs assistance and safety. To provide these services, one of the core technologies developed&lt;br&gt;
inside TIMON will be the design and development of Artificial Intelligence (AI) techniques for traffic&lt;br&gt;
prediction and route planning. The DeustoTech-Mobility research group is in charge of this part of the&lt;br&gt;
project. The objective of this technical paper is to describe the approach followed in TIMON to&lt;br&gt;
develop traffic congestion prediction and route planning services based on AI techniques and the&lt;br&gt;
progress done so far. Additionally, the deployment and the result obtained in the first test done is also&lt;br&gt;
detailed in this study.&lt;/p&gt;</subfield>
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