TY - GEN
T1 - Digital Twin-Assisted Lane-changing and Variable Speed Limit Control for Weaving Segments
AU - Fan, Tingting
AU - Ho, Ivan Wang Hei
AU - Chung, Edward
N1 - Funding Information:
ACKNOWLEDGMENT This work was supported in part by the Otto Poon Charitable Foundation Smart Cities Research Institute (Projects Q-CDAS and Q-CDA8), and The Hong Kong Polytechnic University (Projects 4-ZZMV and 1-ZVTJ).
Publisher Copyright:
© 2022 IEEE.
PY - 2022/10
Y1 - 2022/10
N2 - With the rapid growth of traffic demand, the lane-changing concentration problem of weaving segments is significant on the highway, resulting in decreased operation efficiency and road safety. The cooperative intelligence transportation system (C-ITS) with vehicle-to-everything (V2X) technology provides the possibility for emerging new cooperative strategies to alleviate that problem. Most of the existing V2X-assisted traffic control strategies assume that communication and connection between vehicles are perfect, which does not reflect reality. To accurately describe the dynamics of vehicular traffic and node connections, a joint traffic and network simulator is established to construct the digital twin system, where two traffic control strategies, namely the lane-changing (LC) distribution strategy and the variable speed limit (VSL) control strategy, are proposed and validated in a complex vehicular communication network. The simulation results show that packet loss negatively affects the performance of V2X-assisted LC control, and the integrated strategy improves the overall average speed by up to 40.4%, compared with the LC control alone.
AB - With the rapid growth of traffic demand, the lane-changing concentration problem of weaving segments is significant on the highway, resulting in decreased operation efficiency and road safety. The cooperative intelligence transportation system (C-ITS) with vehicle-to-everything (V2X) technology provides the possibility for emerging new cooperative strategies to alleviate that problem. Most of the existing V2X-assisted traffic control strategies assume that communication and connection between vehicles are perfect, which does not reflect reality. To accurately describe the dynamics of vehicular traffic and node connections, a joint traffic and network simulator is established to construct the digital twin system, where two traffic control strategies, namely the lane-changing (LC) distribution strategy and the variable speed limit (VSL) control strategy, are proposed and validated in a complex vehicular communication network. The simulation results show that packet loss negatively affects the performance of V2X-assisted LC control, and the integrated strategy improves the overall average speed by up to 40.4%, compared with the LC control alone.
KW - concentration problem
KW - digital twin
KW - lane-changing
KW - V2X
KW - variable speed limit
UR - http://www.scopus.com/inward/record.url?scp=85146669871&partnerID=8YFLogxK
U2 - 10.1109/DTPI55838.2022.9998933
DO - 10.1109/DTPI55838.2022.9998933
M3 - Conference article published in proceeding or book
AN - SCOPUS:85146669871
T3 - 2022 IEEE 2nd International Conference on Digital Twins and Parallel Intelligence, DTPI 2022
SP - 1
EP - 5
BT - 2022 IEEE 2nd International Conference on Digital Twins and Parallel Intelligence, DTPI 2022
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2nd IEEE International Conference on Digital Twins and Parallel Intelligence, DTPI 2022
Y2 - 24 October 2022 through 28 October 2022
ER -