Abstract
This work shows the impact of traffic road congestion which in volves driver frustration, air pollution and costs important money in fuel consumption by vehicles. Proposing an efficient strategy to reduce traffic congestion is an important challenge in which we need to take into consideration the unpredictable and the dynamic infrastructure of the road network. With the advances in computing technologies and communications protocols we can fetch any type of data from several entities in realtime about the traffic road congestion on each road based on: electronic toll collection system (ETCS), vehicle traffic routing system (VTRS), intelligent transportation system (ITS) and traffic light signals (TLS). This study introduces a new distributed strategy that aims to optimize traffic road congestion in realtime based on the Vehicular adhoc network (VANET) communication system and the techniques of the Ant colony optimization (ACO). The VANET is used as a communication technology that will help us to create a channel of communication between several vehicles. In the other hand, the techniques of the ACO is used to compute the shortest path that can be followed by the driver to avoid the congested routes. The proposed system is based on a multiagent architecture, all agents will work together to monitoring the traffic road congestion and help drivers to achieves their destination by following the best routes with less congestion.
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Mouhcine, E., Mansouri, K., Mohamed, Y. (2019). Intelligent Vehicle Routing System Using VANET Strategy Combined with a Distributed Ant Colony Optimization. In: Khoukhi, F., Bahaj, M., Ezziyyani, M. (eds) Smart Data and Computational Intelligence. AIT2S 2018. Lecture Notes in Networks and Systems, vol 66. Springer, Cham. https://doi.org/10.1007/978-3-030-11914-0_25
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DOI: https://doi.org/10.1007/978-3-030-11914-0_25
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