Date of Award
5-1-2018
Degree Name
Master of Science
Department
Computer Science
First Advisor
Hexmoor, Henry
Abstract
We present platooning as a special case of crowd-sensing framework. After offering a policy that governs platooning, we review common scenarios and components surrounding platooning. We present a prototype that illustrates efficiency of road usage and vehicle travel time derived from platooning. We have argued that beyond the commonly reported benefits of platooning, there are substantial savings in acquisition and processing of sensory data sharing the road. Our results show that data transmission can be reduced to low of 3% compared to normal data transmission using a platoon formation with sensor sharing.
Access
This thesis is Open Access and may be downloaded by anyone.