Paper Info
Title
A Scalable Unsignalized Intersection System For Automated Vehicles And Semi-Physical Implementation
Abstract
With the rapid development of automated vehicle (AV) technologies, unsignalized intersection scenario has attracted a lot of research attentions in the field of intelligent transportation system (ITS). In this paper, to improve the real-time unsignalized intersection coordination performance and guarantee the reliability of vehicle scheduling, a distributed and scalable scheduling algorithm (DSA) for unsignalized intersection system is proposed. First, to make the vehicle passing the intersection practical, we present a collision-free traffic scenario which is based on the improvement of the existing unsignalized scheduling approach. Specifically, the turning directions of automated vehicles would not be restricted so that AV can turn in a practical arc curve trajectory. Second, a distributed consistency protocol (DCP) based on the edge computing of roadside units is proposed to ensure the real-time scheduling messages transfer. Finally, to verify the proposed unsignalized intersection system, a semi-physical simulation platform (SPSP) is established on a sand table model. Both the software simulation results and the sand table measured data of the SPSP have verified the effectiveness of the algorithm, which is believe to further promote the practical engineering applications of automated vehicles.
Year
DOI
Venue
2021
10.1007/s12083-020-00948-9
PEER-TO-PEER NETWORKING AND APPLICATIONS
Keywords
DocType
Volume
Unsignalized intersection scheduling, Intelligent transportation system, Distributed consistency protocol, Semi-physical simulation platform, Edge computing
Journal
14
Issue
ISSN
Citations 
1
1936-6442
0
PageRank 
References 
Authors
0.34
0
6
Name
Order
Citations
PageRank
Tianqi Zhang16821.52
Haibo Zhou220314.10
Bo Qian3264.48
Yunting Xu452.44
Tianxiong Wu500.34
Ting Ma682.15