When looking over some facts about Mobile Networking for Vehicular Environments, there are few things more important than realizing the true power that a system of this magnitude would bring to the world. It is true there are many challenges, specifically factors such as safety come in to play a great deal. The performance of systems is also a massive hurdle, because there is simply no way to guarantee that all of the moving parts in such a complicated array of technology will function at a fully efficient rate at any particular point in time.
Moreover, a huge rate of data communication between vehicles moving at a high rate of speed is necessary for the reliability of the system. This is no simple technological feat, and many millions of dollars have been spent researching and perfecting ideas for mobile networking systems that we hope are able to take on the task. We do however have many ideas regarding our mobile technology, not the least of which is using mobile technology to reserve parking spaces in crowded areas.
Pretend you are going to visit a baseball game, and you know that there will be hundreds of cars and everywhere will be packed. You may even be concerned that you will forget where you parked and wind up wandering around for hours aimlessly after the game searching for your vehicle. With Mobile Networking technology you will be able to locate your car on your mobile device in conjunction with mobile wireless networks, and perform tasks such as reserving parking spots, finding your vehicle in case you forgot where you parks, and even paying for parking all via your mobile device.
In addition to parking implications, we also are hoping to build a system that collects data from traffic nodes on highways and popular streets in order to make the lives of the traffic controllers easier. As one might imagine, a massive amount of data is brought forth every single day and a large problem is facilitating the bandwidth to transport all of this data back and forth. With mobile networking technology, we will build the framework to house and transport all of this data in such a way that nobody needs to worry about system downtime or network congestion due to excessive bandwidth uses. Another option we have looked into is optical image recognition in order to estimate traffic patterns and update websites and mobile applications to give people a good reading of what they might expect on their way to and from work; overall giving citizens a understanding of the world in which they live.