Theses and Dissertations
Issuing Body
Mississippi State University
Advisor
Li, Xiaopeng
Committee Member
Medal, Hugh
Committee Member
Zhang, Li
Date of Degree
8-14-2015
Document Type
Graduate Thesis - Open Access
Major
Civil Engineering
Degree Name
Master of Science
College
James Worth Bagley College of Engineering
Department
Department of Civil and Environmental Engineering
Abstract
Advanced connected and automated vehicle technologies offer new opportunities for highway traffic smoothing by optimizing automated vehicle trajectories. As one of the pioneering attempts, this study proposes an efficient trajectory optimization algorithm that can simultaneously improve a range of performance measures for a platoon of vehicles on a signalized highway section. This optimization is centered at a novel shooting heuristic (SH) for trajectory construction that considers realistic constraints including vehicle kinematic limits, traffic arrival patterns, carollowing safety, and signal operations. SH has a very parsimonious structure (e.g., only four acceleration parameters) and a very small computational complexity. Therefore, it is suitable for real-time applications when relevant technologies are in place in the near future. This study lays a solid foundation for devising holistic cooperative control strategies on a general transportation network with emerging technologies.
URI
https://hdl.handle.net/11668/20685
Recommended Citation
Zhou, Fang, "A Parsimonious Two-Way Shooting Algorithm for Connected Automated Traffic Smoothing" (2015). Theses and Dissertations. 220.
https://scholarsjunction.msstate.edu/td/220