Influencing High Frequency Trading Patterns in Highway Operator Stock using Efficient V2V & V2I C4 Solutions for Vehicular Networks

Abstract

Vehicular communication systems are networks in which vehicles and roadside units constitute the communicating nodes, providing each other with critical operational information such as safety warnings and traffic situations. They can prove effective in avoiding accidents and traffic congestion. An intelligent transport system will process the data from vehicle-to-vehicle (V2 $V$) and vehicle-to-infrastructure (V2I) communication networks in order to improve traffic management. This shall allow vehicles to also communicate with roadside infrastructure such as sensors, passengers, traffic databases, signaling systems, and among themselves. The tasks included in the study presented here consider a lot of real time data analysis, automated trade-off negotiations, algorithms for which are deployed on embedded computing platforms to perform tasks identified as part of efficient traffic reorganization and flow. The outcomes are destined to make a significant impact in the form of financial engineering by means of high frequency trading of the stake holders' stock.