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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    <dcat:keyword>Artificial Intelligence</dcat:keyword>
    <dcat:keyword>Traffic Congestion</dcat:keyword>
    <dcat:keyword>Route Planning</dcat:keyword>
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    <dct:description>&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;</dct:description>
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    <dct:title>Enhanced real time services for an optimized multimodal mobility relying on cooperative networks and open data</dct:title>
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Publication date:
June 22, 2017
DOI:
10.5281/zenodo.894076

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Keyword(s):
Artificial Intelligence Traffic Congestion Route Planning
Grants:
European Commission:
  • TIMON - Enhanced real time services for an optimized multimodal mobility relying on cooperative networks and open data (636220)
Meeting:
12th ITS European Congress, Strasbourg, France, 19-22 June 2017
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