Routing Algorithms in Connected Cars Context

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.

Original document

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

• http://dx.doi.org/10.5220/0008167302900297

• https://doi.org/10.5220/0008167302900297 under the license cc-by-nc-nd

• https://dblp.uni-trier.de/db/conf/ic3k/keod2019.html#StanSP19,

https://academic.microsoft.com/#/detail/2978163511