GP3: Gaussian process path planning for reliable shortest path in transportation networks

• Main Authors: GUO, Hongliang, HOU, Xuejie, CAO, Zhiguang, ZHANG, Jie
• 格式: text
• 語言: English
• 出版: Institutional Knowledge at Singapore Management University 2021
• 主題: Reliability; Transportation; Path planning; Planning; Gaussian processes; Standards; Covariance matrices; Reliable shortest path (RSP); mean-std minimization; Gaussian process path planning (GP3); a priori path; stochastic on time arrival (SOTA); Lagrangian relaxation; OS and Networks
• 在線閱讀: https://ink.library.smu.edu.sg/sis_research/8126; https://ink.library.smu.edu.sg/context/sis_research/article/9129/viewcontent/GP3_Gaussian_Process_Path_Planning_for_Reliable_Shortest_Path_in_Transportation_Networks.pdf

This paper investigates the reliable shortest path (RSP) problem in Gaussian process (GP) regulated transportation networks. Specifically, the RSP problem that we are targeting at is to minimize the (weighted) linear combination of mean and standard deviation of the path's travel time. With the...