TY - GEN
T1 - Group Formation for Cooperative Highway Merging Considering Undetected Vehicles in Mixed Traffic
AU - Kato, Sho
AU - Kunibe, Masashi
AU - Yamazaki, Rei
AU - Shigeno, Hiroshi
N1 - Funding Information:
ACKNOWLEDGMENT This work was partly supported by JSPS KAKENHI Grant Number JP20H04180.
Publisher Copyright:
© 2021 IEEE.
PY - 2021
Y1 - 2021
N2 - Connected and Automated Vehicles (CAVs) have potential to improve the traffic efficiency near the highway on-ramps by sharing their merging times through wireless communication. For the traffic efficiency and vehicle safety, it has been the technical challenge to determine the merging times without collision of vehicles merging from different roads. Especially in the mixed traffic of CAVs and human-driven vehicles (hereinafter called non-CAVs), CAVs cannot detect all the non-CAVs even by their sensors. Therefore, it is necessary to determine CAVs' merging times for preventing the undetected non-CAVs from colliding with other vehicles. In this paper, we propose a group-based CAVs control method considering undetected non-CAVs in mixed traffic. The main idea of the proposed method is that it indirectly controls the undetected non-CAVs by CAVs. Specifically, the method forms vehicle groups each of which consists of a leading CAV and following non-CAVs. The method assigns merging times to the leading CAVs such that different groups do not merge onto the main road simultaneously. As a result, the undetected non-CAVs in a group do not collide with vehicles in the other groups. Simulation results show that the proposed method mitigates stop-and-go driving near the merging zone and improves outflow traffic.
AB - Connected and Automated Vehicles (CAVs) have potential to improve the traffic efficiency near the highway on-ramps by sharing their merging times through wireless communication. For the traffic efficiency and vehicle safety, it has been the technical challenge to determine the merging times without collision of vehicles merging from different roads. Especially in the mixed traffic of CAVs and human-driven vehicles (hereinafter called non-CAVs), CAVs cannot detect all the non-CAVs even by their sensors. Therefore, it is necessary to determine CAVs' merging times for preventing the undetected non-CAVs from colliding with other vehicles. In this paper, we propose a group-based CAVs control method considering undetected non-CAVs in mixed traffic. The main idea of the proposed method is that it indirectly controls the undetected non-CAVs by CAVs. Specifically, the method forms vehicle groups each of which consists of a leading CAV and following non-CAVs. The method assigns merging times to the leading CAVs such that different groups do not merge onto the main road simultaneously. As a result, the undetected non-CAVs in a group do not collide with vehicles in the other groups. Simulation results show that the proposed method mitigates stop-and-go driving near the merging zone and improves outflow traffic.
KW - connected and automated vehicle (CAV)
KW - cooperative control
KW - highway merging
KW - mixed traffic
UR - http://www.scopus.com/inward/record.url?scp=85123789181&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85123789181&partnerID=8YFLogxK
U2 - 10.1109/VNC52810.2021.9644631
DO - 10.1109/VNC52810.2021.9644631
M3 - Conference contribution
AN - SCOPUS:85123789181
T3 - IEEE Vehicular Networking Conference, VNC
SP - 68
EP - 71
BT - 2021 IEEE Vehicular Networking Conference, VNC 2021
A2 - Kargl, Frank
A2 - Altintas, Onur
A2 - Sommer, Christoph
A2 - Higuchi, Takamasa
A2 - Klingler, Florian
PB - IEEE Computer Society
T2 - 13th IEEE Vehicular Networking Conference, VNC 2021
Y2 - 10 November 2021 through 12 November 2021
ER -