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Authors: Ioan Stan ; Vasile Suciu and Rodica Potolea

Affiliation: Computer Science Department, Technical University of Cluj-Napoca and Romania

Keyword(s): Connected Cars, Traffic Congestion, Routing Algorithm, Topology, Scenarios, Data Structure.

Related Ontology Subjects/Areas/Topics: Applications and Case-studies ; Artificial Intelligence ; Communication and Software Technologies and Architectures ; Domain Analysis and Modeling ; e-Business ; Enterprise Information Systems ; Knowledge Engineering ; Knowledge Engineering and Ontology Development ; Knowledge-Based Systems ; Symbolic Systems

Abstract: Most of the existing navigation solutions compute individual routes based on map topology and traffic data but, without considering the route effect on the entire navigation ecosystem. Traffic data usage and sharing in the context of connected cars is a key element for route planning. Such solutions require efficient implementation and deployment in order to reduce any kind of risk. Following a smart driving methodology, we run different route search algorithms on connected cars traffic scenarios in order to avoid traffic congestion and minimize total driving time on the entire navigation ecosystem. The experiments in this work proved that connected cars data usage and sharing reduce the total driving time of the navigation ecosystem and also that specific routing algorithms are more suitable for specific connected cars scenarios in order to obtain relevant results.

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Paper citation in several formats:
Stan, I.; Suciu, V. and Potolea, R. (2019). Routing Algorithms in Connected Cars Context. In Proceedings of the 11th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - KEOD, ISBN 978-989-758-382-7; ISSN 2184-3228, pages 290-297. DOI: 10.5220/0008167302900297

@conference{keod19,
author={Ioan Stan. and Vasile Suciu. and Rodica Potolea.},
title={Routing Algorithms in Connected Cars Context},
booktitle={Proceedings of the 11th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - KEOD,},
year={2019},
pages={290-297},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0008167302900297},
isbn={978-989-758-382-7},
issn={2184-3228},
}

TY - CONF

JO - Proceedings of the 11th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - KEOD,
TI - Routing Algorithms in Connected Cars Context
SN - 978-989-758-382-7
IS - 2184-3228
AU - Stan, I.
AU - Suciu, V.
AU - Potolea, R.
PY - 2019
SP - 290
EP - 297
DO - 10.5220/0008167302900297