Coordination of Connected and Automated Vehicles at Unsignalized Intersections using Hybrid Quantum Annealing

Intersections are very complicated scenarios in to-day's urban traffic. With the development of V2X and autonomous driving technologies, an unsignalized architecture has shown great potential in guiding the vehicles in a more efficient way at intersections. The conflict-free vehicle scheduling has been pointed out to be the key factor influencing both traffic efficiency and fuel economy. This paper presents a hybrid quantum approach to find the optimal passing order of the incoming vehicles. We first extract a decisive de-conflicting problem from the original scheduling problem based on the graphical conflict analysis. Then a novel hybrid quantum annealing algorithm is proposed to solve this subproblem. Finally we utilize a lower-level controller to apply our approach in a complete conflict-free coordination of vehicles at the intersection and simulations are conducted to assess the actual performance of the proposed approach.

Authors

Institutions

Publication Details

Published
2024-10-18
DOI
https://doi.org/10.1109/icus61736.2024.10840144
Primary Topic
Cold Atom Physics and Bose-Einstein Condensates
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Coordination of Connected and Automated Vehicles at Unsignalized Intersections using Hybrid Quantum Annealing

Mengchi Cai, Zixuan Zhang, Chen Sun, Jianqiang Wang et al.
Cold Atom Physics and Bose-Einstein Condensates
article

Coordination of Connected and Automated Vehicles at Unsignalized Intersections using Hybrid Quantum Annealing

Mengchi Cai, Zixuan Zhang, Chen Sun, Jianqiang Wang, Keqiang Li, Shaoyu Liu, Q. N. Xu, Tao Cui, Chaoyi Chen
article en

Abstract

Intersections are very complicated scenarios in to-day's urban traffic. With the development of V2X and autonomous driving technologies, an unsignalized architecture has shown great potential in guiding the vehicles in a more efficient way at intersections. The conflict-free vehicle scheduling has been pointed out to be the key factor influencing both traffic efficiency and fuel economy. This paper presents a hybrid quantum approach to find the optimal passing order of the incoming vehicles. We first extract a decisive de-conflicting problem from the original scheduling problem based on the graphical conflict analysis. Then a novel hybrid quantum annealing algorithm is proposed to solve this subproblem. Finally we utilize a lower-level controller to apply our approach in a complete conflict-free coordination of vehicles at the intersection and simulations are conducted to assess the actual performance of the proposed approach.

Sony (China) (CN), Tsinghua University (CN)
China Postdoctoral Science Foundation, Science Fund for Creative Research Groups
Sustainable cities and communities
Openalex Percentile: Top 77%
Cold Atom Physics and Bose-Einstein Condensates
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.