Wayne State University
Communication Protocol Design Considerations For Highway Vehicle Platoons And Enhanced Networked Robustness By Stochastic Dithers
Abstract
dc:description.abstract<p>Highway platooning of vehicles has been identified as a promising framework in</p> <p>developing intelligent transportation systems. By autonomous or semi-autonomous</p> <p>vehicle control and inter-vehicle coordination, an appropriately managed platoon can</p> <p>potentially offer enhanced safety, improved highway utility, increased fuel economy,</p> <p>and reduced emission. This thesis is focused on quantitative characterization of impact</p> <p>of communication information structures and contents on platoon safety. By</p> <p>comparing different information structures which combine front sensors, rear sensors,</p> <p>and wireless communication channels, and different information contents such</p> <p>as distances, speeds, and drivers' actions, we reveal a number of intrinsic relationships</p> <p>between vehicle coordination and communications in platoons. Typical communication</p> <p>standards and related communication latency and package loss are used</p> <p>as benchmark cases in our study. These findings provide useful guidelines for information</p> <p>harmonization module (IHM) design in sensor selections, communication</p> <p>resource allocations, and vehicle coordination. Two new weighted multi-information</p> <p>structure control and information data rate control are proposed. Both control methods</p> <p>have been validated by experimental simulation and finite element analysis, and</p> <p>also show a surprising improvement of communication resources usage with data rate</p> <p>control. The results for the proposed module are new in the literature for vehicle</p> <p>platoon control. A new method is introduced to enhance feedback robustness against</p> <p>communication gain uncertainties. The method employs a fundamental property in</p> <p>stochastic differential equations to add a scaled stochastic dither under which tolerable</p> <p>gain uncertainties can be much enlarged, beyond the traditional deterministic</p> <p>optimal gain margin. Algorithms, stability, convergence, and robustness are presented</p> <p>for first-order systems. Extension to higher-dimensional systems is further discussed.</p> <p>Simulation results are used to illustrate the merits of this methodology.</p>
Degree
thesis:*- Name thesis:degree_name
- Ph.D.
- Level thesis:degree_level
- Open Access Dissertation
- Discipline thesis:degree_discipline
- Electrical and Computer Engineering
- Year dc:date.available
- 2014
Author and committee
dc:creator, dc:contributor.*- Author dc:creator
-
- Xu, Lijian
- Contributors dc:contributor
-
- Le Yi Wang
Subjects
dc:subject × 9Identifiers
dc:identifier.*- Repository record dc:identifier
- https://digitalcommons.wayne.edu/oa_dissertations/943
- OAI identifier oai:identifier
- oai:digitalcommons.wayne.edu:oa_dissertations-1942