Predictive Vehicle Route Optimization in Intelligent Transportation Systems

Abstract

Through the adoption of dedicated short-range communication (DSRC) wireless communication technology, intelligent transportation systems (ITS) will spur a new revolution in the U.S. transportation system. This paper is structured around providing drivers with the least-congested transportation route choices enabled by the ITS-envisioned vehicle-to-vehicle (V2V), vehicle-to-infrastructure (V2I), and infrastructure-to-vehicle (I2V) communication platforms. Recent research in vehicle navigation systems has proposed energy consumption and emission optimized routing methodologies using historical traffic data modeling. More than 50% of congestion in U.S. cities is nonrecurring congestion. Nonrecurring congestion reduces the availability of the traffic network, thus rendering historical traffic data-based systems insufficient in more than 50% of the cases. Real-time traffic data modeling provides an enhanced performance in traffic congestion assessment; however, greater performance is expected with a predictive traffic congestion model with increased certainty. This paper compares the conventional shortest path and fastest path vehicle routing methodologies and establish the improvement for environmentally friendly routing in a dynamic and predictive cost dependent traffic network based on Petri Net Modeling. The proposed routing algorithm is validated using a computer-based tool of choice.

Simulación computacional y algoritmo voraz para calcular la ruta de mínimo costo

“…In this order of ideas, Supply Chain Management (SCM) aims to facilitate communication between the parts of the business, improve the delivery of products to the final customer [4] and achieve a more environmentally friendly organization, on the fact of that freight vehicle fleets contributed 58% of CO2 emissions for 2017, and that the transport industry in general contributes 83% of all CO2 emissions today. For this reason, it is clear that alternatives must also be sought to improve and optimize the movements of this type of vehicle [5].…”